Alphabeta Math
Session-authored (Fable 5 assisted)
How statement and proof provenance work

The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.

  • Literature-sourced — the exact statement appears in a cited source; only wording and notation differ.
  • AI-adapted — a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
  • AI-generated — a genuinely novel statement formulated by AI, with no source for the claim itself.

These labels describe origin, not correctness: citations and verification chips remain separate evidence.

16 results · all verified · 15 also independently AI-judged
Every result on this page is machine-checked by a proof checker and read in full and owner-audited; the judge is an additional, independent cross-model AI review of the proofs. The 1 not AI-judged were verified by owner audit (typically over a confirmed judge false positive), not failures.

The Derivative and the Mean Value Theorems

1 · Prerequisites

2 · Summary

Objective. This page defines the derivative of a real function at a point, proves the rules that make it computable, and then proves four central theorems whose hypotheses use differentiability: Fermat's interior extremum theorem, Rolle's theorem, Cauchy's mean value theorem, and the mean value theorem itself. It closes with what the mean value theorem is actually spent on downstream: a vanishing derivative forces a constant, the sign of the derivative controls monotonicity, and a bound on the derivative gives a Lipschitz bound on the function.

The definition, and the two obligations it carries. The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set takes f:ARf : A \to \mathbb{R} and a point cAc \in A that is also a limit point of AA, forms the difference quotient q(x)=(f(x)f(c))/(xc)q(x) = (f(x)-f(c))/(x-c) on A{c}A \setminus \{c\}, and defines f(c)f'(c) to be its limit at cc when that exists. Both obligations are discharged in the definition itself rather than assumed. The point must be a limit point of AA, since otherwise The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA leaves the symbol undefined and every real would satisfy the ε\varepsilon-δ\delta condition vacuously; and the limit is unique, by At a limit point of the domain a function has at most one limit applied on the domain A{c}A \setminus \{c\}, which is what makes f(c)f'(c) a name for one real number. Two further facts are established there because everything below uses them: a derivative survives shrinking the domain, provided the smaller domain still accumulates at the point; and every point of a nondegenerate interval is a limit point of it, so that on an interval the symbol f(c)f'(c) is meaningful at every point, endpoints included.

Carathéodory, and why every rule on this page is one line. Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c) replaces the quotient by an algebraic identity: ff is differentiable at cc exactly when some φ:AR\varphi : A \to \mathbb{R}, continuous at cc, satisfies f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x-c) throughout AA, and then φ\varphi is unique with φ(c)=f(c)\varphi(c) = f'(c). That reformulation is what carries the whole toolkit. A function differentiable at cc is continuous at cc becomes a product of two continuous factors; Sums, scalar multiples, products and quotients: (f+g)(c)=f(c)+g(c)(f+g)'(c) = f'(c) + g'(c), (αf)(c)=αf(c)(\alpha f)'(c) = \alpha f'(c), (fg)(c)=f(c)g(c)+f(c)g(c)(fg)'(c) = f'(c)g(c) + f(c)g'(c), and (f/g)(c)=(f(c)g(c)f(c)g(c))/g(c)2(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2} when g(c)0g(c) \ne 0 becomes four rearrangements of an increment, each followed by a reading of Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function; and The chain rule, in one line from Carathéodory: if gg is differentiable at cc and ff is differentiable at g(c)g(c), then fgf \circ g is differentiable at cc with (fg)(c)=f(g(c))g(c)(f \circ g)'(c) = f'(g(c))\,g'(c) becomes a single substitution, with none of the case analysis that a difference-quotient proof needs where the inner increment vanishes. The linear-approximation form of the derivative: ff is differentiable at cc with f(c)=Lf'(c) = L if and only if the remainder r(x)=f(x)f(c)L(xc)r(x) = f(x) - f(c) - L(x-c) satisfies limxcr(x)/(xc)=0\lim_{x \to c} r(x)/(x-c) = 0; at most one LL does so, so xf(c)+L(xc)x \mapsto f(c) + L(x-c) is the unique affine map approximating ff to first order at cc records the other standard reformulation, that f(c)f'(c) is the unique slope for which the affine approximation has remainder small compared with the increment.

The rules, and the index trap inside the power rule. For a natural n1n \ge 1 the function xxnx \mapsto x^{n} is differentiable everywhere with derivative ι(n)xn1\iota(n)\,x^{\,n-1}; for n=0n = 0 it is the constant 11, with derivative 00; for a natural n1n \ge 1 the function xxnx \mapsto x^{-n} is differentiable at every x0x \ne 0 with derivative ι(n)xn1-\iota(n)\,x^{-n-1}; consequently every polynomial function is differentiable at every real, with the derivative computed term by term proves that xxnx \mapsto x^{n} has derivative ι(n)xn1\iota(n)x^{\,n-1} for every natural n1n \ge 1, that xx0x \mapsto x^{0} is the constant 11 with derivative 00, and that xxnx \mapsto x^{-n} has derivative ι(n)xn1-\iota(n)x^{-n-1} away from 00; the case n=0n = 0 is stated separately and not folded into the general formula, because ι(0)c1\iota(0)c^{-1} is not defined at c=0c = 0. Polynomial functions follow by induction along the recursion defining finite sums. Derivative of an inverse: if ff is continuous and injective on a nondegenerate interval II and differentiable at cIc \in I with f(c)0f'(c) \ne 0, then the inverse gg is differentiable at f(c)f(c) with g(f(c))=1/f(c)g'(f(c)) = 1/f'(c); and if f(c)=0f'(c) = 0 then gg is not differentiable at f(c)f(c) closes the toolkit: at a point f(c)f(c) where ff is differentiable, the inverse is differentiable exactly when f(c)f'(c) does not vanish, with the reciprocal derivative, and is not differentiable when it does; nothing is asserted at a point of f[I]f[I] where ff itself has no derivative. Both halves rest on Continuous inverse theorem: a continuous injective ff on an interval II is a bijection onto the order-convex set f[I]f[I], and the inverse g:f[I]Ig : f[I] \to I is continuous and strictly monotone in the same sense as ff, which supplies the inverse and its continuity, and the second half is a one-line use of the chain rule against the identity.

Extrema, and the theorem that needs an interior point. Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA fixes local maxima and minima, their strict forms, and what it means for a point to be interior to the domain; it also proves the two facts the theorems below need, that an interior point of a set is a limit point of it, which is what Fermat's theorem consumes, and that a global extremum is a local one, which is what Rolle's theorem consumes. Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0 then shows that a derivative at an interior local extremum vanishes, by keeping the difference quotient on the sign of its limit (If limxcf(x)=L0\lim_{x \to c} f(x) = L \ne 0 then f>L/2|f| > |L|/2 on a punctured neighbourhood of cc; in particular if L>0L > 0 then f>L/2>0f > L/2 > 0 there) and reading it on both sides of the point. The interiority hypothesis is exactly what places points of the domain on both sides, and it is not decoration: the companion page exhibits a function on [0,1][0,1] with extrema at both endpoints and derivative 11 at each.

Rolle, Cauchy, and the mean value theorem. Rolle's theorem: if a<ba < b, ff is continuous on [a,b][a,b], differentiable at every point of (a,b)(a,b), and f(a)=f(b)f(a) = f(b), then f(c)=0f'(c) = 0 for some c(a,b)c \in (a,b) combines Fermat with Extreme value theorem: a continuous real function on a nonempty compact subset of R\mathbb{R} attains a greatest and a least value: a continuous function on [a,b][a,b] attains a greatest and a least value, and if neither is attained inside then the hypothesis f(a)=f(b)f(a) = f(b) makes the function constant, so any interior point serves. Cauchy's mean value theorem: for f,gf, g continuous on [a,b][a,b] with a<ba<b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c); no hypothesis on gg' is needed in this product form is one application of Rolle to λgμf\lambda g - \mu f with λ=f(b)f(a)\lambda = f(b)-f(a) and μ=g(b)g(a)\mu = g(b)-g(a), and it is stated as a product identity, (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c), with no hypothesis on gg'; the familiar quotient form is not equivalent, and the companion page shows a pair for which it is meaningless while the product form holds. The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a) is the case g(x)=xg(x) = x.

What the mean value theorem buys. Three consequences, each with the interval hypothesis doing real work. A function continuous on an interval II whose derivative vanishes at every interior point of II is constant on II; consequently two such functions with the same derivative differ by a constant: a function continuous on an interval with vanishing derivative at every interior point is constant, so two functions with the same derivative differ by a constant. On an interval II, for ff continuous on II and differentiable at every interior point: f0f' \ge 0 throughout gives ff nondecreasing, f>0f' > 0 gives ff increasing, f0f' \le 0 and f<0f' < 0 give the two decreasing forms; conversely a nondecreasing ff has f0f' \ge 0 and a nonincreasing ff has f0f' \le 0 wherever it is differentiable, and no strict converse is claimed: the four sign conditions on ff' give the four monotonicity conditions of Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences, and conversely a nondecreasing function has f0f' \ge 0 wherever it is differentiable. That converse is non-strict, and no strict form holds. If ff is continuous on an interval II and fM|f'| \le M at every interior point, then f(x)f(y)Mxy|f(x) - f(y)| \le M|x-y| for all x,yIx,y \in I, so ff is Lipschitz with constant MM and uniformly continuous on II: a bound fM|f'| \le M at every interior point gives f(x)f(y)Mxy|f(x)-f(y)| \le M|x-y| throughout, so the function is Lipschitz with constant MM and, through Dictionary: for ARA \subseteq \mathbb{R} with the metric d(x,y)=xyd(x,y) = |x-y|, continuity and uniform continuity of f:ARf : A \to \mathbb{R} agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of R\mathbb{R} is compact in the open-cover sense of R\mathbb{R} exactly when it is a compact metric subspace and Contraction implies Lipschitz implies uniformly continuous implies continuous; every Hölder map is uniformly continuous, and a Lipschitz map on a bounded space is Hölder for every exponent, uniformly continuous.

Two false statements, both with witnesses. FALSE: differentiability at every point of (a,b)(a,b) alone yields a c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a) deletes the continuity hypothesis from the mean value theorem and is refuted by f(x)=xf(x) = x on [0,1)[0,1) with f(1)=0f(1) = 0, which is differentiable at every interior point with derivative 11 while f(1)f(0)=0f(1)-f(0) = 0; the same witness kills Rolle's theorem under the same weakening. FALSE: if f(c)=0f'(c) = 0 then ff is not increasing on any interval containing cc reads the monotonicity theorem backwards and is refuted by xx3x \mapsto x^{3}, which is increasing on R\mathbb{R} with f(0)=0f'(0) = 0.

What this page does not fix. No one-sided derivative and no derivative of order above one is defined here, and no item on this page says anything about the continuity of ff' or about the existence of an antiderivative. Darboux's theorem is not proved here either, so nothing below says that ff' has the intermediate value property of The intermediate value property (Darboux property) of a function on an interval: the image of every subinterval is order-convex. The monotone-functions page names that theorem as the classical source of discontinuous functions with the intermediate value property and builds its own witness by hand instead; this page does not discharge it, and no item here may be cited for it. Nothing on either page depends on it. What is fixed here and what is not: the derivative is taken at a point of the domain that is also a limit point of it, one-sided derivatives and derivatives of order above one are not introduced at this point in the reading order, and f(c)f'(c) and dfdx(c)\frac{df}{dx}(c) name the same real number records exactly what is settled and what is left open, including that f(c)f'(c) and dfdx(c)\frac{df}{dx}(c) name the same real number and that the second is a name and not a quotient.

3 · Logical flowchart

4 · Definitions, theorems and proofs

DefinitionDefinition: AI-adaptedProof: Not applicablejudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set

Definition

Throughout, R\mathbb{R} is the complete ordered field (Complete ordered field (least-upper-bound property)), neighbourhoods are those of The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R} and limit points those of Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}.

Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R} and let cAc \in A be a limit point of AA. The difference quotient of ff at cc is the function

qf,c:A{c}R,qf,c(x):=f(x)f(c)xc.q_{f,c} : A \setminus \{c\} \to \mathbb{R}, \qquad q_{f,c}(x) := \frac{f(x) - f(c)}{x - c} .

The division is legitimate at every point of the domain, since xcx \ne c gives xc0x - c \ne 0.

The point cc is a limit point of A{c}A \setminus \{c\}, not merely of AA. For every real ε>0\varepsilon > 0 the punctured neighbourhood Nε(c)N^{*}_{\varepsilon}(c) omits cc, so

Nε(c)A  =  Nε(c)(A{c}),N^{*}_{\varepsilon}(c) \cap A \;=\; N^{*}_{\varepsilon}(c) \cap (A \setminus \{c\}) ,

and the left-hand side is nonempty because cc is a limit point of AA. So qf,cq_{f,c} is a function on a set having cc as a limit point, and limxcqf,c(x)\lim_{x \to c} q_{f,c}(x) is a notion that The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA defines.

ff is differentiable at cc when that limit exists, and then the derivative of ff at cc is

f(c)  :=  limxcqf,c(x)  =  limxcf(x)f(c)xc.f'(c) \;:=\; \lim_{x \to c} q_{f,c}(x) \;=\; \lim_{x \to c} \frac{f(x) - f(c)}{x - c} .

Two obligations are carried by that notation, and both are discharged here.

  1. Uniqueness. Writing f(c)f'(c) treats the right-hand side as a name for a single real number. That is legitimate: cc is a limit point of the domain A{c}A \setminus \{c\} of qf,cq_{f,c}, so at most one real can satisfy the ε\varepsilon-δ\delta condition, by At a limit point of the domain a function has at most one limit applied to qf,cq_{f,c}. Two reals both meeting the condition are therefore equal, and the symbol denotes.
  2. Meaningfulness. The hypothesis that cc is a limit point of AA is not decoration. At an isolated point of AA the punctured condition 0<xc<δ0 < |x - c| < \delta is met by no point of the domain at all, so the ε\varepsilon-δ\delta formula is satisfied vacuously by every real at once; this is why The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA leaves the limit undefined there, and it is why this library defines f(c)f'(c) only at a limit point of AA. At an isolated point of its domain a function is neither differentiable nor non-differentiable here: the question is not posed.

The limit sees only A{c}A \setminus \{c\}, so how the difference quotient is extended to cc is irrelevant. Let Q:ARQ : A \to \mathbb{R} agree with qf,cq_{f,c} at every point of A{c}A \setminus \{c\}, and let LRL \in \mathbb{R}. Then limxcQ(x)=L\lim_{x \to c} Q(x) = L if and only if limxcqf,c(x)=L\lim_{x \to c} q_{f,c}(x) = L. Both conditions read: for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that every point xx of the relevant domain with 0<xc<δ0 < |x - c| < \delta satisfies L<ε|{\cdot} - L| < \varepsilon (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA). The clause 0<xc0 < |x - c| removes x=cx = c from both quantifiers, so in both cases the points quantified over are exactly the xA{c}x \in A \setminus \{c\} with 0<xc<δ0 < |x - c| < \delta, at which QQ and qf,cq_{f,c} take the same value. The two conditions are the same condition.

Differentiability on a set. For SAS \subseteq A, ff is differentiable on SS when it is differentiable at every cSc \in S; implicit in that phrase is that every point of SS is a limit point of AA. ff is differentiable when it is differentiable on the whole of AA.

Restriction of the domain. Let BAB \subseteq A, let cBc \in B and suppose cc is a limit point of BB. If ff is differentiable at cc, then so is the restriction fB:BRf|_B : B \to \mathbb{R}, and

(fB)(c)  =  f(c).(f|_B)'(c) \;=\; f'(c) .

Indeed B{c}A{c}B \setminus \{c\} \subseteq A \setminus \{c\}; the displayed identity of punctured neighbourhoods above, applied to BB, shows that cc is a limit point of B{c}B \setminus \{c\}; the difference quotient qfB,cq_{f|_B, c} is the restriction of qf,cq_{f,c} to B{c}B \setminus \{c\}, since fB(c)=f(c)f|_B(c) = f(c); and claim 2 of The limit at cc depends only on the restriction of ff to a punctured neighbourhood of cc, and passes to any subset of the domain having cc as a limit point carries the limit to that restriction.

Every point of a nondegenerate interval is a limit point of it. Let JRJ \subseteq \mathbb{R} be order-convex (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) with at least two elements and let pJp \in J. Choose qJq \in J with qpq \ne p, and let a real ε>0\varepsilon > 0 be given. If p<qp < q, put y:=p+12min{ε, qp}y := p + \tfrac{1}{2}\min\{\varepsilon,\ q - p\}; then p<yp < y, and yp12(qp)<qpy - p \le \tfrac{1}{2}(q-p) < q - p, so p<y<qp < y < q and order-convexity gives yJy \in J, while 0<yp<ε0 < |y - p| < \varepsilon. If q<pq < p, the point y:=p12min{ε, pq}y := p - \tfrac{1}{2}\min\{\varepsilon,\ p - q\} serves in the same way. So Nε(p)JN^{*}_{\varepsilon}(p) \cap J \ne \varnothing for every real ε>0\varepsilon > 0, that is, pp is a limit point of JJ (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

Consequently, for ff defined on a nondegenerate interval II, the symbol f(c)f'(c) is meaningful at every cIc \in I, endpoints included. At an endpoint the difference quotient is taken over the points of II lying on the one side that is available, so what other texts call a one-sided derivative is, here, simply the derivative of ff on II.

Remarks

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c)

Statement

Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R} and let cAc \in A be a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}). The following are equivalent.

  1. ff is differentiable at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set).
  2. There is a function φ:AR\varphi : A \to \mathbb{R}, continuous at cc (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point), with f(x)f(c)  =  φ(x)(xc)for every xA.f(x) - f(c) \;=\; \varphi(x)\,(x - c) \qquad \text{for every } x \in A .

When they hold, the function φ\varphi of claim 2 is unique and satisfies φ(c)=f(c)\varphi(c) = f'(c).

What the reformulation buys. Claim 2 contains no quotient and no limit: it is an algebraic identity plus a continuity hypothesis at one point. Every differentiation rule on this page is proved by exhibiting the factor φ\varphi for the new function and reading its continuity off the algebra and composition theorems for continuous functions. In particular the chain rule becomes a one-line substitution, with none of the case analysis that the difference-quotient proof needs where the inner increment vanishes.

The hypothesis that cc is a limit point of AA is used in both directions. It is what makes f(c)f'(c) a defined symbol at all (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), and it is what makes continuity of φ\varphi at cc equivalent to a statement about the limit of φ\varphi there (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point, clause 1). At an isolated point of AA claim 2 holds for every ff, with φ\varphi arbitrary off cc, because every function is continuous at an isolated point; claim 1 is not even a statement there.

Facts & Assumptions

Given: A set ARA \subseteq \mathbb{R}, a function f:ARf : A \to \mathbb{R} and a point cAc \in A that is a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[L1]

Differentiability at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): the difference quotient q(x):=(f(x)f(c))/(xc)q(x) := (f(x) - f(c))/(x - c) is a function on A{c}A \setminus \{c\}, the point cc is a limit point of A{c}A \setminus \{c\}, and ff is differentiable at cc exactly when limxcq(x)\lim_{x \to c} q(x) exists, its value then being f(c)f'(c); moreover, for any Q:ARQ : A \to \mathbb{R} agreeing with qq on A{c}A \setminus \{c\} and any real LL, the conditions limxcQ(x)=L\lim_{x \to c} Q(x) = L and limxcq(x)=L\lim_{x \to c} q(x) = L are the same condition, since the clause 0<xc0 < |x - c| removes x=cx = c from both quantifiers.

[L2]

The limit condition (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA): limxch(x)=L\lim_{x \to c} h(x) = L means that for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that every xx in the domain of hh with 0<xc<δ0 < |x - c| < \delta satisfies h(x)L<ε|h(x) - L| < \varepsilon.

[L3]

Continuity at a limit point (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point, clause 1): for cAc \in A a limit point of AA, a function ψ:AR\psi : A \to \mathbb{R} is continuous at cc if and only if limxcψ(x)\lim_{x \to c} \psi(x) exists and equals ψ(c)\psi(c).

[L4]

At a limit point of its domain a function has at most one limit (At a limit point of the domain a function has at most one limit).

[L5]

Locality (claim 1 of The limit at cc depends only on the restriction of ff to a punctured neighbourhood of cc, and passes to any subset of the domain having cc as a limit point): if two functions on AA agree at every xAx \in A with 0<xc<η0 < |x - c| < \eta for some real η>0\eta > 0, then for every real LL one has limxc=L\lim_{x \to c} = L for the first exactly when it holds for the second.

Proof

technique · direct
1.1

Claim 1 implies claim 2: the factor. Assume ff is differentiable at cc, and define φ:AR\varphi : A \to \mathbb{R} by φ(x):=(f(x)f(c))/(xc)\varphi(x) := (f(x) - f(c))/(x - c) for xAx \in A with xcx \ne c, and φ(c):=f(c)\varphi(c) := f'(c). This is a function on the whole of AA, since every xAx \in A falls under exactly one of the two clauses and the division is by a nonzero number.

L1construct
1.2

Claim 2 implies claim 1: the hypothesis. Assume instead that some φ:AR\varphi : A \to \mathbb{R} is continuous at cc and satisfies f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A.

assume-hyp
1.3

Uniqueness. Let φ\varphi and ψ\psi both be as in claim 2. For xAx \in A with xcx \ne c the identity gives φ(x)(xc)=f(x)f(c)=ψ(x)(xc)\varphi(x)(x - c) = f(x) - f(c) = \psi(x)(x - c), and dividing by xc0x - c \ne 0 gives φ(x)=ψ(x)\varphi(x) = \psi(x); so the two agree on A{c}A \setminus \{c\}, hence at every xAx \in A with 0<xc<10 < |x - c| < 1. By [L3] each has a limit at cc, equal to its own value there; by [L5] those two limits are limits of functions agreeing near cc, so by [L4] they are equal, that is φ(c)=ψ(c)\varphi(c) = \psi(c). Hence φ=ψ\varphi = \psi.

L3L4L5
2.1

The identity holds for the factor built in step 1.1. For xAx \in A with xcx \ne c, multiplying the defining equation φ(x)=(f(x)f(c))/(xc)\varphi(x) = (f(x) - f(c))/(x - c) by xcx - c gives φ(x)(xc)=f(x)f(c)\varphi(x)(x - c) = f(x) - f(c); and at x=cx = c both sides are 00, since f(c)f(c)=0f(c) - f(c) = 0 and φ(c)(cc)=0\varphi(c)(c - c) = 0. So the identity of claim 2 holds for every xAx \in A.

step 1.1
2.2

The factor built in step 1.1 is continuous at cc. That φ\varphi agrees with the difference quotient qq at every point of A{c}A \setminus \{c\} is its definition, so by [L1] the limit limxcφ(x)\lim_{x \to c} \varphi(x) exists and equals f(c)f'(c), which is φ(c)\varphi(c). Since cc is a limit point of AA, [L3] turns that into continuity of φ\varphi at cc.

step 1.1L1L3
2.3

Under the hypothesis of step 1.2, φ\varphi extends the difference quotient. For xAx \in A with xcx \ne c, dividing the identity by xc0x - c \ne 0 gives q(x)=φ(x)(xc)/(xc)=φ(x)q(x) = \varphi(x)(x-c)/(x-c) = \varphi(x). So φ\varphi agrees with qq at every point of A{c}A \setminus \{c\}.

step 1.2
2.4

Under the hypothesis of step 1.2, φ\varphi has a limit at cc. Continuity of φ\varphi at the limit point cc gives, by [L3], that limxcφ(x)\lim_{x \to c} \varphi(x) exists and equals φ(c)\varphi(c).

step 1.2L3
3.1

Claim 2 implies claim 1. By step 2.3 the function φ\varphi agrees with qq off cc, so the last clause of [L1] applies with Q:=φQ := \varphi and L:=φ(c)L := \varphi(c): from limxcφ(x)=φ(c)\lim_{x \to c} \varphi(x) = \varphi(c), given by step 2.4, it follows that limxcq(x)=φ(c)\lim_{x \to c} q(x) = \varphi(c). By [L1] again, ff is differentiable at cc and f(c)=φ(c)f'(c) = \varphi(c).

step 2.3step 2.4L1L2
4.1

Both implications and both supplementary claims are proved: claim 1 gives claim 2 by steps 1.1, 2.1 and 2.2, with φ(c)=f(c)\varphi(c) = f'(c) by construction; claim 2 gives claim 1 by step 3.1, with φ(c)=f(c)\varphi(c) = f'(c) established there; and the factor is unique by step 1.3.

step 1.1step 1.3step 2.1step 2.2step 3.1

Remarks

  • The identity at x=cx = c is empty, and that is the point. Both sides vanish there whatever φ(c)\varphi(c) is, so the identity alone determines φ\varphi only off cc; it is the continuity hypothesis that pins the remaining value, and it pins it to f(c)f'(c). Drop continuity and claim 2 becomes true for every ff whatsoever, with φ(c)\varphi(c) arbitrary.

  • Why this is not circular. The proof of claim 2 from claim 1 builds φ\varphi out of the very quotient whose limit is f(c)f'(c), so nothing new is asserted in that direction. The content is the other direction: a factorisation with a factor merely continuous at one point already forces the quotient to converge. That is the direction every rule on this page uses.

  • The factor is a genuinely useful object, not a device. For f(x)=xnf(x) = x^{n} it can be written down in closed form, as the polynomial φ(x)=k<nckxn1k\varphi(x) = \sum_{k < n} c^{k} x^{\,n-1-k} supplied by Factorisation of bnanb^n - a^n, and the resulting Lipschitz estimate; the companion page writes that factor out and differentiates a composite with it.

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

A function differentiable at cc is continuous at cc

Statement

Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R} and let cAc \in A be a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}). If ff is differentiable at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set) then ff is continuous at cc (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point).

Consequently, if ff is differentiable on a set SAS \subseteq A then ff is continuous at every point of SS.

No converse is asserted, and none holds. Continuity at cc does not give differentiability at cc, and the standard witness is worked out on the companion page.

Facts & Assumptions

[L1]

Carathéodory's characterisation (Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c)): since ff is differentiable at the limit point cc of AA, there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and φ(c)=f(c)\varphi(c) = f'(c).

[L2]

Algebra of continuous functions (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function): sums, scalar multiples and products of functions continuous at a point of the common domain are continuous there (claim 1); and every constant function on AA and the identity xxx \mapsto x on AA are continuous at every point of AA (claim 5).

Proof

technique · direct
1.1

Fix a function φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A.

L1choose
1.2

The identity xxx \mapsto x on AA and every constant function on AA are continuous at cc; hence so is xxcx \mapsto x - c, which is the sum of the identity and the constant function with value c-c.

L2
2.1

The pointwise product xφ(x)(xc)x \mapsto \varphi(x)(x - c) is continuous at cc, being the product of two functions on AA continuous at cc.

step 1.1step 1.2L2
3.1

For every xAx \in A one has f(x)=f(c)+φ(x)(xc)f(x) = f(c) + \varphi(x)(x - c), so ff is the sum of the constant function with value f(c)f(c) and the product of step 2.1.

step 1.1L1
4.1

A sum of two functions continuous at cc is continuous at cc, so ff is continuous at cc.

step 2.1step 3.1L2L3
5.1

The point cc was an arbitrary point of AA, a limit point of AA, at which ff is differentiable; applying step 4.1 at every point of a set SAS \subseteq A on which ff is differentiable gives continuity of ff at every point of SS.

step 3.1L3

Remarks

  • Where the work actually is. None of it is here. Carathéodory's characterisation already replaces the quotient by a product, and a product is visibly small when one factor is bounded near cc and the other tends to 00; the algebra of continuous functions packages exactly that. A direct proof from the quotient would multiply and divide by xcx - c and would have to say why that is legal, which is the same observation in a less convenient place.

  • The converse fails. xxx \mapsto |x| is continuous at 00 and not differentiable there, which is xxx \mapsto |x| is continuous everywhere and not differentiable at 00: the difference quotient equals 11 on the right and 1-1 on the left, so the two one-sided limits differ on the companion page. So continuity is strictly weaker, and the gap is not exotic: it opens at a single corner.

  • What is not claimed. Nothing here says that a function differentiable on a set has a continuous derivative, and nothing here says that ff' is defined anywhere except where it was assumed to be. Both are separate questions, and neither is settled on this page.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

The linear-approximation form of the derivative: ff is differentiable at cc with f(c)=Lf'(c) = L if and only if the remainder r(x)=f(x)f(c)L(xc)r(x) = f(x) - f(c) - L(x-c) satisfies limxcr(x)/(xc)=0\lim_{x \to c} r(x)/(x-c) = 0; at most one LL does so, so xf(c)+L(xc)x \mapsto f(c) + L(x-c) is the unique affine map approximating ff to first order at cc

Statement

Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R}, let cAc \in A be a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}) and let LRL \in \mathbb{R}. Write

αL:AR,αL(x):=f(c)+L(xc),\alpha_L : A \to \mathbb{R}, \qquad \alpha_L(x) := f(c) + L\,(x - c),

for the affine map through (c,f(c))(c, f(c)) of slope LL, and let rL:=fαLr_L := f - \alpha_L, that is rL(x)=f(x)f(c)L(xc)r_L(x) = f(x) - f(c) - L(x - c).

  1. ff is differentiable at cc with f(c)=Lf'(c) = L (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set) if and only if limxcrL(x)xc  =  0,\lim_{x \to c} \frac{r_L(x)}{x - c} \;=\; 0 , the quotient being taken as a function on A{c}A \setminus \{c\} (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA).
  2. At most one real LL satisfies the condition of claim 1. Some real satisfies it exactly when ff is differentiable at cc, and then that real is f(c)f'(c).

So among all affine maps through (c,f(c))(c, f(c)) there is at most one whose error rLr_L is small compared with xcx - c near cc; it exists exactly when ff is differentiable at cc, and its slope is the derivative. This is the sense in which the derivative is a first-order approximation and not merely a quotient.

What the statement does not say. It says nothing about how small rLr_L is in absolute terms, and nothing about any xx away from cc. The assertion is only that the ratio rL(x)/(xc)r_L(x)/(x-c) tends to 00; a second-order estimate on rLr_L needs hypotheses this page does not have.

Facts & Assumptions

Given: A set ARA \subseteq \mathbb{R}, a function f:ARf : A \to \mathbb{R}, a point cAc \in A that is a limit point of AA, a real LL, and the functions αL\alpha_L and rL=fαLr_L = f - \alpha_L of the statement (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}, The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set).

[L1]

Differentiability at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): the difference quotient q(x):=(f(x)f(c))/(xc)q(x) := (f(x) - f(c))/(x - c) is a function on A{c}A \setminus \{c\}, the point cc is a limit point of A{c}A \setminus \{c\}, and ff is differentiable at cc with f(c)=Lf'(c) = L exactly when limxcq(x)=L\lim_{x \to c} q(x) = L.

[L2]

The limit condition (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA): limxch(x)=P\lim_{x \to c} h(x) = P means that for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that every xx in the domain of hh with 0<xc<δ0 < |x - c| < \delta satisfies h(x)P<ε|h(x) - P| < \varepsilon.

[L3]

At a limit point of its domain a function has at most one limit (At a limit point of the domain a function has at most one limit); in particular the value f(c)f'(c) is a single real.

[L4]

Absolute value: u0=u|u - 0| = |u|, since u0=uu - 0 = u (Basic properties of the absolute value).

Proof

technique · direct
1.1

For every xAx \in A with xcx \ne c the number xcx - c is nonzero, so the quotient rL(x)/(xc)r_L(x)/(x-c) is defined, and rL(x)/(xc)=(f(x)f(c))/(xc)L(xc)/(xc)=q(x)Lr_L(x)/(x - c) = \bigl(f(x) - f(c)\bigr)/(x-c) - L(x-c)/(x-c) = q(x) - L. So xrL(x)/(xc)x \mapsto r_L(x)/(x-c) and xq(x)Lx \mapsto q(x) - L are the same function on A{c}A \setminus \{c\}.

L1algebra
2.1

Hence for every xAx \in A with xcx \ne c one has rL(x)/(xc)0=q(x)L\bigl|r_L(x)/(x-c) - 0\bigr| = |q(x) - L|.

step 1.1L4
3.1

Fix a real ε>0\varepsilon > 0 and a real δ>0\delta > 0. By step 2.1 the assertion "every xA{c}x \in A \setminus \{c\} with 0<xc<δ0 < |x - c| < \delta satisfies rL(x)/(xc)0<ε|r_L(x)/(x-c) - 0| < \varepsilon" and the assertion "every xA{c}x \in A \setminus \{c\} with 0<xc<δ0 < |x - c| < \delta satisfies q(x)L<ε|q(x) - L| < \varepsilon" are the same assertion. Quantifying over ε\varepsilon and δ\delta, the two limit conditions of [L2] on the common domain A{c}A \setminus \{c\}, of which cc is a limit point by [L1], coincide.

step 2.1L1L2
3.2

Therefore limxcrL(x)/(xc)=0\lim_{x \to c} r_L(x)/(x-c) = 0 holds if and only if limxcq(x)=L\lim_{x \to c} q(x) = L holds, which by [L1] is exactly differentiability of ff at cc with f(c)=Lf'(c) = L: claim 1.

step 2.1L1L2
4.1

Suppose reals LL and LL' both satisfy the condition of claim 1. By step 3.2 the function ff is differentiable at cc with f(c)=Lf'(c) = L and with f(c)=Lf'(c) = L'; the derivative is a single real by [L1] and [L3], so L=LL = L'. Conversely, if ff is differentiable at cc then L:=f(c)L := f'(c) satisfies the condition, again by step 3.2.

step 3.1step 3.2L1L3
5.1

Claims 1 and 2 are proved, the first by step 3.2 and the second by step 4.1; so the affine map αL\alpha_L with the stated approximation property is unique when it exists, and its slope is f(c)f'(c).

step 3.2step 4.1

Remarks

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Sums, scalar multiples, products and quotients: (f+g)(c)=f(c)+g(c)(f+g)'(c) = f'(c) + g'(c), (αf)(c)=αf(c)(\alpha f)'(c) = \alpha f'(c), (fg)(c)=f(c)g(c)+f(c)g(c)(fg)'(c) = f'(c)g(c) + f(c)g'(c), and (f/g)(c)=(f(c)g(c)f(c)g(c))/g(c)2(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2} when g(c)0g(c) \ne 0

Statement

Let ARA \subseteq \mathbb{R}, let cAc \in A be a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}), let f,g:ARf, g : A \to \mathbb{R} be differentiable at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set) and let αR\alpha \in \mathbb{R}. Then:

  1. f+gf + g is differentiable at cc and (f+g)(c)=f(c)+g(c)(f+g)'(c) = f'(c) + g'(c);
  2. αf\alpha f is differentiable at cc and (αf)(c)=αf(c)(\alpha f)'(c) = \alpha f'(c);
  3. fgfg is differentiable at cc and (fg)(c)=f(c)g(c)+f(c)g(c)(fg)'(c) = f'(c)g(c) + f(c)g'(c);
  4. if g(c)0g(c) \ne 0 then, writing A0:={xA:g(x)0}A_0 := \{\, x \in A : g(x) \ne 0 \,\}, the point cc lies in A0A_0 and is a limit point of A0A_0, the quotient (f/g)A0:A0R(f/g)|_{A_0} : A_0 \to \mathbb{R}, xf(x)/g(x)x \mapsto f(x)/g(x), is differentiable at cc as a function on A0A_0, and ((f/g)A0)(c)  =  f(c)g(c)f(c)g(c)g(c)2.\bigl((f/g)|_{A_0}\bigr)'(c) \;=\; \frac{f'(c)\,g(c) - f(c)\,g'(c)}{g(c)^{2}} .

Each claim asserts two things: that the derivative on the left exists, and that it has the stated value. Both are proved.

Why claim 4 is stated on A0A_0. The function f/gf/g is not defined where gg vanishes, and gg may vanish at points of AA far from cc; restricting to A0A_0 is forced. That the restriction still has cc as a limit point, so that a derivative there means anything at all, is not free either, and it is the last claim of If limxcf(x)=L0\lim_{x \to c} f(x) = L \ne 0 then f>L/2|f| > |L|/2 on a punctured neighbourhood of cc; in particular if L>0L > 0 then f>L/2>0f > L/2 > 0 there applied to gg. The hypothesis is g(c)0g(c) \ne 0, not "gg vanishes nowhere".

Everything is proved through Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c). No difference quotient is estimated and no limit theorem beyond continuity is used, so no choice principle is spent. The four identities are four algebraic rearrangements of an increment, each followed by a reading of Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function.

Facts & Assumptions

Given: A set ARA \subseteq \mathbb{R}, a point cAc \in A that is a limit point of AA, functions f,g:ARf, g : A \to \mathbb{R} differentiable at cc, and a real α\alpha; for claim 4 also the hypothesis g(c)0g(c) \ne 0 together with A0:={xA:g(x)0}A_0 := \{\, x \in A : g(x) \ne 0 \,\} (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set, Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[L1]

Carathéodory's characterisation (Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c)), used in both directions: for a set BRB \subseteq \mathbb{R}, a point pBp \in B that is a limit point of BB and a function h:BRh : B \to \mathbb{R}, the function hh is differentiable at pp if and only if there is η:BR\eta : B \to \mathbb{R}, continuous at pp, with h(x)h(p)=η(x)(xp)h(x) - h(p) = \eta(x)(x - p) for every xBx \in B, and then η(p)=h(p)\eta(p) = h'(p).

[L2]

Algebra of continuous functions (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function): sums, scalar multiples and products of functions continuous at a point are continuous there (claim 1); every constant function and the identity are continuous everywhere on the domain (claim 5); and if u,vu, v are continuous at a point pp of their common domain DD with v(p)0v(p) \ne 0, then pp lies in D0:={xD:v(x)0}D_0 := \{x \in D : v(x) \ne 0\} and (u/v)D0(u/v)|_{D_0} is continuous at pp as a function on D0D_0 (claim 4).

[L3]

Continuity passes to a subset of the domain: if BAB \subseteq A, if pBp \in B and if ψ:AR\psi : A \to \mathbb{R} is continuous at pp, then ψB\psi|_B is continuous at pp, the condition on the restriction quantifying over fewer points (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point).

[L4]

A function differentiable at cc is continuous at cc (A function differentiable at cc is continuous at cc); in particular gg is.

[L6]

Sign preservation (If limxcf(x)=L0\lim_{x \to c} f(x) = L \ne 0 then f>L/2|f| > |L|/2 on a punctured neighbourhood of cc; in particular if L>0L > 0 then f>L/2>0f > L/2 > 0 there): if cc is a limit point of AA and limxcg(x)\lim_{x \to c} g(x) exists and is nonzero, then cc is a limit point of A0={xA:g(x)0}A_0 = \{x \in A : g(x) \ne 0\}.

[L7]

A product of two nonzero reals is nonzero (A field has no zero divisors: ab=0a=0ab = 0 \Rightarrow a = 0 or b=0b = 0), and g(c)2=g(c)g(c)g(c)^{2} = g(c)\,g(c) (Integer powers ama^m).

Proof

technique · direct
1.1

By [L1], applied to ff and to gg on AA at cc, fix φ,ψ:AR\varphi, \psi : A \to \mathbb{R}, both continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) and g(x)g(c)=ψ(x)(xc)g(x) - g(c) = \psi(x)(x - c) for every xAx \in A, and with φ(c)=f(c)\varphi(c) = f'(c) and ψ(c)=g(c)\psi(c) = g'(c).

L1choose
1.2

Assume g(c)0g(c) \ne 0. Then cA0c \in A_0 by the definition of A0A_0; gg is continuous at cc by [L4], so limxcg(x)=g(c)0\lim_{x \to c} g(x) = g(c) \ne 0 by [L5]; and therefore cc is a limit point of A0A_0 by [L6].

L4L5L6
2.1

Sum. For every xAx \in A, (f+g)(x)(f+g)(c)=(f(x)f(c))+(g(x)g(c))=(φ(x)+ψ(x))(xc)(f+g)(x) - (f+g)(c) = \bigl(f(x)-f(c)\bigr) + \bigl(g(x)-g(c)\bigr) = \bigl(\varphi(x) + \psi(x)\bigr)(x-c). The function φ+ψ\varphi + \psi is continuous at cc by [L2], and (φ+ψ)(c)=f(c)+g(c)(\varphi+\psi)(c) = f'(c) + g'(c). So [L1] gives claim 1.

step 1.1L1L2
2.2

Scalar multiple. For every xAx \in A, (αf)(x)(αf)(c)=α(f(x)f(c))=(αφ(x))(xc)(\alpha f)(x) - (\alpha f)(c) = \alpha\bigl(f(x)-f(c)\bigr) = \bigl(\alpha\varphi(x)\bigr)(x-c). The function αφ\alpha\varphi is continuous at cc by [L2], with value αf(c)\alpha f'(c) there. So [L1] gives claim 2.

step 1.1L1L2
2.3

Product. For every xAx \in A, f(x)g(x)f(c)g(c)=(f(x)f(c))g(x)+f(c)(g(x)g(c))=(φ(x)g(x)+f(c)ψ(x))(xc)f(x)g(x) - f(c)g(c) = \bigl(f(x)-f(c)\bigr)g(x) + f(c)\bigl(g(x)-g(c)\bigr) = \bigl(\varphi(x)g(x) + f(c)\psi(x)\bigr)(x-c). Put χ:=φg+f(c)ψ\chi := \varphi\,g + f(c)\,\psi; it is continuous at cc by [L2], since φ\varphi, ψ\psi and (by [L4]) gg are, and constants are; and χ(c)=φ(c)g(c)+f(c)ψ(c)=f(c)g(c)+f(c)g(c)\chi(c) = \varphi(c)g(c) + f(c)\psi(c) = f'(c)g(c) + f(c)g'(c). So [L1] gives claim 3.

step 1.1L1L2L4
2.4

Quotient, the rearrangement. Assume g(c)0g(c) \ne 0 and let xA0x \in A_0, so g(x)0g(x) \ne 0 and g(c)0g(c) \ne 0. Then f(x)/g(x)f(c)/g(c)=(f(x)g(c)f(c)g(x))/(g(x)g(c))f(x)/g(x) - f(c)/g(c) = \bigl(f(x)g(c) - f(c)g(x)\bigr)/\bigl(g(x)g(c)\bigr), and f(x)g(c)f(c)g(x)=(f(x)f(c))g(c)f(c)(g(x)g(c))=(φ(x)g(c)f(c)ψ(x))(xc)f(x)g(c) - f(c)g(x) = \bigl(f(x)-f(c)\bigr)g(c) - f(c)\bigl(g(x)-g(c)\bigr) = \bigl(\varphi(x)g(c) - f(c)\psi(x)\bigr)(x-c). So, defining θ:A0R\theta : A_0 \to \mathbb{R} by θ(x):=(φ(x)g(c)f(c)ψ(x))/(g(x)g(c))\theta(x) := \bigl(\varphi(x)g(c) - f(c)\psi(x)\bigr)/\bigl(g(x)g(c)\bigr), one has (f/g)A0(x)(f/g)A0(c)=θ(x)(xc)(f/g)|_{A_0}(x) - (f/g)|_{A_0}(c) = \theta(x)(x-c) for every xA0x \in A_0.

step 1.1L1L7
2.5

Quotient, continuity of the factor. Assume g(c)0g(c) \ne 0. The restrictions of φ\varphi, ψ\psi and gg to A0A_0 are continuous at cA0c \in A_0 by [L3] and [L4], so by [L2] the numerator u(x):=φ(x)g(c)f(c)ψ(x)u(x) := \varphi(x)g(c) - f(c)\psi(x) and the denominator v(x):=g(x)g(c)v(x) := g(x)g(c) are continuous at cc as functions on A0A_0. By [L7] the denominator vanishes at no point of A0A_0, so {xA0:v(x)0}=A0\{x \in A_0 : v(x) \ne 0\} = A_0, and v(c)=g(c)20v(c) = g(c)^{2} \ne 0; hence claim 4 of [L2] gives that θ=(u/v)A0\theta = (u/v)|_{A_0} is continuous at cc, with θ(c)=(φ(c)g(c)f(c)ψ(c))/g(c)2=(f(c)g(c)f(c)g(c))/g(c)2\theta(c) = \bigl(\varphi(c)g(c) - f(c)\psi(c)\bigr)/g(c)^{2} = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}.

step 1.1step 1.2L2L3L4L7
3.1

Quotient, conclusion. Assume g(c)0g(c) \ne 0. By step 1.2 the point cc lies in A0A_0 and is a limit point of A0A_0; by steps 2.4 and 2.5 the function θ:A0R\theta : A_0 \to \mathbb{R} is continuous at cc and factors the increment of (f/g)A0(f/g)|_{A_0}. So [L1], applied on the domain A0A_0 at the point cc, gives that (f/g)A0(f/g)|_{A_0} is differentiable at cc with derivative θ(c)\theta(c): claim 4.

step 1.2step 2.4step 2.5L1
4.1

Claims 1 to 4 are proved, by steps 2.1, 2.2, 2.3 and 3.1 respectively, each by exhibiting the Carathéodory factor of the new function and reading its continuity at cc off the algebra of continuous functions.

step 2.1step 2.2step 2.3step 3.1

Remarks

  • The product rearrangement in one line. The identity fgf(c)g(c)=(ff(c))g+f(c)(gg(c))fg - f(c)g(c) = (f - f(c))\,g + f(c)\,(g - g(c)) splits the increment of a product into two increments, one multiplied by gg and one by a constant. It is the same identity that carries the product case of Sums, scalar multiples, products and quotients of function limits, the quotient under the hypothesis that the denominator limit is nonzero, read at the level of increments rather than of ε\varepsilon; here the factor gg has to be continuous at cc rather than merely bounded near it, and A function differentiable at cc is continuous at cc is what supplies that.

  • The reciprocal is the case f1f \equiv 1. Claim 4 then reads ((1/g)A0)(c)=g(c)/g(c)2\bigl((1/g)|_{A_0}\bigr)'(c) = -g'(c)/g(c)^{2}, since f(c)=0f'(c) = 0 for a constant ff; nothing separate has to be proved, and the derivative of a negative integer power on this page is obtained exactly this way.

  • Two hypotheses that look removable and are not. In claim 4 the hypothesis g(c)0g(c) \ne 0 cannot be weakened to "gg is nonzero somewhere near cc", because cc itself must lie in the smaller domain for a derivative there to be a statement about cc; and the conclusion is about (f/g)A0(f/g)|_{A_0}, not about any extension of it to AA, since no such extension is canonical.

LemmaStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

For a natural n1n \ge 1 the function xxnx \mapsto x^{n} is differentiable everywhere with derivative ι(n)xn1\iota(n)\,x^{\,n-1}; for n=0n = 0 it is the constant 11, with derivative 00; for a natural n1n \ge 1 the function xxnx \mapsto x^{-n} is differentiable at every x0x \ne 0 with derivative ι(n)xn1-\iota(n)\,x^{-n-1}; consequently every polynomial function is differentiable at every real, with the derivative computed term by term

Statement

Powers are those of Integer powers ama^m, and ι:NR\iota : \mathbb{N} \to \mathbb{R} is the canonical natural of The canonical natural ι(n)=n1F\iota(n) = n \cdot 1_F of a field, so that ι(0)=0\iota(0) = 0 and ι(m+1)=ι(m)+1\iota(m+1) = \iota(m) + 1. Let nNn \in \mathbb{N}.

  1. The function p0:RRp_0 : \mathbb{R} \to \mathbb{R}, p0(x)=x0p_0(x) = x^{0}, is the constant function 11, and it is differentiable at every cRc \in \mathbb{R} with p0(c)=0p_0'(c) = 0 (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set).
  2. For n1n \ge 1 the function pn:RRp_n : \mathbb{R} \to \mathbb{R}, pn(x)=xnp_n(x) = x^{n}, is differentiable at every cRc \in \mathbb{R}, and pn(c)  =  ι(n)cn1.p_n'(c) \;=\; \iota(n)\,c^{\,n-1} .
  3. For n1n \ge 1 put A0:={xR:x0}A_0 := \{\, x \in \mathbb{R} : x \ne 0 \,\}. The function mn:A0Rm_n : A_0 \to \mathbb{R}, mn(x)=xnm_n(x) = x^{-n}, is differentiable at every cA0c \in A_0 as a function on A0A_0, and mn(c)  =  ι(n)cn1.m_n'(c) \;=\; -\,\iota(n)\,c^{\,-n-1} .
  4. Let a:NRa : \mathbb{N} \to \mathbb{R} with aj=0a_j = 0 for jnj \ge n, and let P:RRP : \mathbb{R} \to \mathbb{R} be the polynomial function P(x)=j<najxjP(x) = \sum_{j<n} a_j x^{j} (Finite sums and finite products, by recursion). Then PP is differentiable at every cRc \in \mathbb{R}, and, defining e:NRe : \mathbb{N} \to \mathbb{R} by e0:=0e_0 := 0 and ej:=ι(j)ajcj1e_j := \iota(j)\,a_j\,c^{\,j-1} for j1j \ge 1, P(c)  =  j<nej.P'(c) \;=\; \sum_{j<n} e_j .

Claim 2 is stated for n1n \ge 1 and not for n0n \ge 0, and that is not timidity. At n=0n = 0 its right-hand side reads ι(0)c1\iota(0)\,c^{-1}, and c1c^{-1} is not defined at c=0c = 0 (Integer powers ama^m), so the formula is not a statement about the whole line. Claim 1 is what covers n=0n = 0, and it says the derivative is 00 there, which is what the informal reading "0c10 \cdot c^{-1}" is reaching for. The same shift is why the term e0e_0 of claim 4 is defined to be 00 outright rather than by the formula.

Facts & Assumptions

Given: A natural nn, a real cc, and the functions pnp_n, mnm_n and PP of the statement.

[L1]

Powers (Integer powers ama^m): a0=1a^{0} = 1 and am+1=amaa^{m+1} = a^{m}a for every aRa \in \mathbb{R} and mNm \in \mathbb{N}; am:=(am)1a^{-m} := (a^{m})^{-1} for a0a \ne 0 and m1m \ge 1; and 0m=00^{m} = 0 for m1m \ge 1.

[L2]

Canonical naturals (The canonical natural ι(n)=n1F\iota(n) = n \cdot 1_F of a field): ι(0)=0\iota(0) = 0, ι(m+1)=ι(m)+1\iota(m+1) = \iota(m) + 1, and hence ι(1)=1\iota(1) = 1.

[L3]

Algebra of derivatives (Sums, scalar multiples, products and quotients: (f+g)(c)=f(c)+g(c)(f+g)'(c) = f'(c) + g'(c), (αf)(c)=αf(c)(\alpha f)'(c) = \alpha f'(c), (fg)(c)=f(c)g(c)+f(c)g(c)(fg)'(c) = f'(c)g(c) + f(c)g'(c), and (f/g)(c)=(f(c)g(c)f(c)g(c))/g(c)2(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2} when g(c)0g(c) \ne 0): at a limit point cc of the common domain, sums, scalar multiples and products of functions differentiable at cc are differentiable at cc with the four stated formulas, and if the denominator is nonzero at cc then the quotient, restricted to the set where the denominator does not vanish, is differentiable at cc with the quotient formula; that restricted set has cc as a limit point.

[L4]

Derivative and difference quotient (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): ff is differentiable at a limit point cc of its domain DD exactly when the difference quotient x(f(x)f(c))/(xc)x \mapsto (f(x)-f(c))/(x-c), a function on D{c}D \setminus \{c\}, has a limit at cc, and f(c)f'(c) is that limit. A constant function hKh \equiv K on a set having cc as a limit point has limxch(x)=K\lim_{x \to c} h(x) = K: given a real ε>0\varepsilon > 0, any real δ>0\delta > 0 serves, since KK=0<ε|K - K| = 0 < \varepsilon (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA).

[L5]

Induction principle on N\mathbb{N} (The principle of mathematical induction).

[L6]

Finite sums (Finite sums and finite products, by recursion): j<0bj=0\sum_{j<0} b_j = 0 and j<m+1bj=(j<mbj)+bm\sum_{j<m+1} b_j = \bigl(\sum_{j<m} b_j\bigr) + b_m.

[L7]

Integer exponent laws for a nonzero base (Laws of integer exponents): ak0a^{k} \ne 0 for every kNk \in \mathbb{N} when a0a \ne 0; and for integers j,kj, k one has ajak=aj+ka^{j}a^{k} = a^{j+k}, (aj)k=ajk(a^{j})^{k} = a^{jk} and ak=(ak)1a^{-k} = (a^{k})^{-1}.

Proof

technique · induction
1.1

Base case, claim 2 at n=1n = 1. By [L1], x1=x0x=1x=xx^{1} = x^{0}x = 1 \cdot x = x, so p1p_1 is the identity. Fix cRc \in \mathbb{R}; for every xcx \ne c the difference quotient is (xc)/(xc)=1(x - c)/(x - c) = 1, so it is the constant function 11 on R{c}\mathbb{R} \setminus \{c\}, and by [L4] and [L8] its limit at cc is 11. Since ι(1)c0=11=1\iota(1)c^{0} = 1 \cdot 1 = 1 by [L1] and [L2], claim 2 holds at n=1n = 1.

baseL1L2L4L8
1.2

Inductive hypothesis. Fix a natural n1n \ge 1 and assume that pnp_n is differentiable at every cRc \in \mathbb{R} with pn(c)=ι(n)cn1p_n'(c) = \iota(n)c^{\,n-1}.

ih
1.3

Claim 1. By [L1] the function p0p_0 is the constant function 11. Fix cRc \in \mathbb{R}; for every xcx \ne c its difference quotient is (11)/(xc)=0(1-1)/(x-c) = 0, the constant function 00 on R{c}\mathbb{R}\setminus\{c\}, whose limit at cc is 00 by [L4] and [L8]. So p0p_0 is differentiable at every cc with p0(c)=0p_0'(c) = 0.

L1L4L8
2.1

Successor step. Let cRc \in \mathbb{R}. By [L1], pn+1(x)=xn+1=xnx=pn(x)p1(x)p_{n+1}(x) = x^{n+1} = x^{n}x = p_n(x)\,p_1(x) for every xx. Both factors are differentiable at cc, by step 1.2 and step 1.1, so the product rule of [L3] gives that pn+1p_{n+1} is differentiable at cc with pn+1(c)=pn(c)p1(c)+pn(c)p1(c)=ι(n)cn1c+cn1p_{n+1}'(c) = p_n'(c)p_1(c) + p_n(c)p_1'(c) = \iota(n)c^{\,n-1}c + c^{n} \cdot 1. Now cn1c=c(n1)+1=cnc^{\,n-1}c = c^{\,(n-1)+1} = c^{n} by [L1], so the right-hand side is ι(n)cn+cn=(ι(n)+1)cn=ι(n+1)cn\iota(n)c^{n} + c^{n} = \bigl(\iota(n)+1\bigr)c^{n} = \iota(n+1)c^{n} by [L2].

step 1.1step 1.2L1L2L3
3.1

Claim 2. Steps 1.1 and 2.1 are the base case and the successor step of an induction over the naturals n1n \ge 1, so by [L5] the function pnp_n is differentiable at every cRc \in \mathbb{R} with pn(c)=ι(n)cn1p_n'(c) = \iota(n)c^{\,n-1}, for every natural n1n \ge 1.

step 1.1step 2.1L5
4.1

Claim 3. Let n1n \ge 1. The set {xR:pn(x)0}\{\, x \in \mathbb{R} : p_n(x) \ne 0 \,\} is exactly A0A_0: a nonzero xx has xn0x^{n} \ne 0 by [L7], and 0n=00^{n} = 0 by [L1]. Fix cA0c \in A_0. The constant function 11 on R\mathbb{R} is differentiable at cc with derivative 00 by step 1.3, and pnp_n is differentiable at cc with derivative ι(n)cn1\iota(n)c^{\,n-1} by step 3.1, with pn(c)=cn0p_n(c) = c^{n} \ne 0. So the quotient rule of [L3] applies: the function x1/xnx \mapsto 1/x^{n} on A0A_0, which by [L1] and [L7] is mnm_n, is differentiable at cc with derivative (0cn1ι(n)cn1)/(cn)2=ι(n)cn1(c2n)1=ι(n)cn12n=ι(n)cn1\bigl(0 \cdot c^{n} - 1 \cdot \iota(n)c^{\,n-1}\bigr)/(c^{n})^{2} = -\iota(n)\,c^{\,n-1}\bigl(c^{\,2n}\bigr)^{-1} = -\iota(n)\,c^{\,n-1-2n} = -\iota(n)\,c^{\,-n-1}, where (cn)2=c2n(c^{n})^{2} = c^{\,2n} and cn1c2n=cn1c^{\,n-1}c^{\,-2n} = c^{\,-n-1} are [L7].

step 1.3step 3.1L1L3L7
4.2

Claim 4, by a second induction on nn. Fix cRc \in \mathbb{R} and the sequence aa. At n=0n = 0 the sum P(x)=j<0ajxjP(x) = \sum_{j<0} a_j x^{j} is 00 for every xx by [L6], so PP is the constant function 00 and, as in step 1.3, P(c)=0=j<0ejP'(c) = 0 = \sum_{j<0} e_j. Suppose the claim holds at nn, and let Pn+1(x):=j<n+1ajxjP_{n+1}(x) := \sum_{j<n+1} a_j x^{j}. By [L6], Pn+1(x)=Pn(x)+anxnP_{n+1}(x) = P_n(x) + a_n x^{n} for every xx, where Pn(x)=j<najxjP_n(x) = \sum_{j<n} a_j x^{j}. The function xanxnx \mapsto a_n x^{n} is differentiable at cc with derivative ene_n: for n=0n = 0 it is the constant ana_n, of derivative 0=e00 = e_0, by step 1.3 and the scalar rule of [L3]; for n1n \ge 1 it is the scalar multiple anpna_n p_n, of derivative anι(n)cn1=ena_n \iota(n)c^{\,n-1} = e_n, by step 3.1 and the scalar rule of [L3]. The inductive hypothesis gives Pn(c)=j<nejP_n'(c) = \sum_{j<n} e_j, so the sum rule of [L3] gives that Pn+1P_{n+1} is differentiable at cc with Pn+1(c)=j<nej+en=j<n+1ejP_{n+1}'(c) = \sum_{j<n} e_j + e_n = \sum_{j<n+1} e_j by [L6]. By [L5] claim 4 holds for every nNn \in \mathbb{N}.

step 1.3step 3.1L3L5L6
5.1

All four claims are established: claim 1 by step 1.3, claim 2 by step 3.1, claim 3 by step 4.1 and claim 4 by step 4.2.

step 1.3step 3.1step 4.1step 4.2discharge-induction

Remarks

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

The chain rule, in one line from Carathéodory: if gg is differentiable at cc and ff is differentiable at g(c)g(c), then fgf \circ g is differentiable at cc with (fg)(c)=f(g(c))g(c)(f \circ g)'(c) = f'(g(c))\,g'(c)

Statement

Let A,BRA, B \subseteq \mathbb{R}, let g:ARg : A \to \mathbb{R} with g[A]Bg[A] \subseteq B and let f:BRf : B \to \mathbb{R}, so that the composite fg:ARf \circ g : A \to \mathbb{R} is defined. Let cAc \in A be a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}) at which gg is differentiable (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), put b:=g(c)b := g(c), and suppose bb is a limit point of BB at which ff is differentiable. Then fgf \circ g is differentiable at cc and

(fg)(c)  =  f(g(c))g(c).(f \circ g)'(c) \;=\; f'\bigl(g(c)\bigr)\,g'(c) .

Both limit-point hypotheses are needed, and neither is automatic. That cc is a limit point of AA is what makes g(c)g'(c) and (fg)(c)(f \circ g)'(c) defined symbols; that b=g(c)b = g(c) is a limit point of BB is what makes f(b)f'(b) one. Nothing forces the second: gg may be differentiable at cc and send cc to an isolated point of BB, and there f(b)f'(b) is not defined and the formula asserts nothing.

No case analysis appears anywhere. The naive difference-quotient proof writes f(g(x))f(g(c))g(x)g(c)g(x)g(c)xc\frac{f(g(x)) - f(g(c))}{g(x) - g(c)} \cdot \frac{g(x) - g(c)}{x - c} and then has to say what happens where g(x)=g(c)g(x) = g(c), which may occur at points arbitrarily close to cc. Carathéodory's factorisation never divides by the inner increment, so the difficulty does not arise.

Facts & Assumptions

Given: Sets A,BRA, B \subseteq \mathbb{R}, functions g:ARg : A \to \mathbb{R} with g[A]Bg[A] \subseteq B and f:BRf : B \to \mathbb{R}, a point cAc \in A that is a limit point of AA at which gg is differentiable, and the point b:=g(c)Bb := g(c) \in B, a limit point of BB at which ff is differentiable (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set, Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[L1]

Carathéodory's characterisation (Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c)), used in both directions: for DRD \subseteq \mathbb{R}, a point pDp \in D that is a limit point of DD and h:DRh : D \to \mathbb{R}, the function hh is differentiable at pp if and only if there is η:DR\eta : D \to \mathbb{R}, continuous at pp, with h(y)h(p)=η(y)(yp)h(y) - h(p) = \eta(y)(y - p) for every yDy \in D, and then η(p)=h(p)\eta(p) = h'(p).

[L2]
[L3]

Composition of continuous functions (A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs): if g:ARg : A \to \mathbb{R} has g[A]Bg[A] \subseteq B and is continuous at cAc \in A, and if η:BR\eta : B \to \mathbb{R} is continuous at g(c)g(c), then ηg\eta \circ g is continuous at cc (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point).

[L4]

A function differentiable at a point is continuous there (A function differentiable at cc is continuous at cc).

Proof

technique · direct
1.1

By [L1], applied to gg on AA at cc, fix ψ:AR\psi : A \to \mathbb{R}, continuous at cc, with g(x)g(c)=ψ(x)(xc)g(x) - g(c) = \psi(x)(x - c) for every xAx \in A and ψ(c)=g(c)\psi(c) = g'(c).

L1choose
1.2

By [L1], applied to ff on BB at bb, fix φ:BR\varphi : B \to \mathbb{R}, continuous at bb, with f(y)f(b)=φ(y)(yb)f(y) - f(b) = \varphi(y)(y - b) for every yBy \in B and φ(b)=f(b)\varphi(b) = f'(b).

L1choose
2.1

The factorisation. Let xAx \in A. Then g(x)Bg(x) \in B, so taking y:=g(x)y := g(x) in step 1.2 gives f(g(x))f(b)=φ(g(x))(g(x)b)f(g(x)) - f(b) = \varphi(g(x))\bigl(g(x) - b\bigr), and g(x)b=g(x)g(c)=ψ(x)(xc)g(x) - b = g(x) - g(c) = \psi(x)(x-c) by step 1.1. Since (fg)(c)=f(g(c))=f(b)(f \circ g)(c) = f(g(c)) = f(b), this reads (fg)(x)(fg)(c)=χ(x)(xc)(f \circ g)(x) - (f \circ g)(c) = \chi(x)(x - c) for every xAx \in A, where χ:AR\chi : A \to \mathbb{R} is the pointwise product χ:=(φg)ψ\chi := (\varphi \circ g)\,\psi.

step 1.1step 1.2
2.2

The outer factor is continuous at cc. By [L4] the function gg is continuous at cc; by step 1.2 the function φ\varphi is continuous at b=g(c)b = g(c); and g[A]Bg[A] \subseteq B. So φg\varphi \circ g is continuous at cc by [L3].

step 1.2L3L4
3.1

The factor is continuous at cc, with the right value. χ\chi is the product of φg\varphi \circ g, continuous at cc by step 2.2, with ψ\psi, continuous at cc by step 1.1, so χ\chi is continuous at cc by [L2]; and χ(c)=φ(g(c))ψ(c)=φ(b)ψ(c)=f(b)g(c)\chi(c) = \varphi(g(c))\,\psi(c) = \varphi(b)\,\psi(c) = f'(b)\,g'(c).

step 1.1step 2.2L2
4.1

By step 2.1 the function χ:AR\chi : A \to \mathbb{R} factors the increment of fgf \circ g at cc, and by step 3.1 it is continuous at cc. So [L1], applied to fgf \circ g on AA at the limit point cc, gives that fgf \circ g is differentiable at cc with (fg)(c)=χ(c)=f(g(c))g(c)(f \circ g)'(c) = \chi(c) = f'(g(c))\,g'(c).

step 2.1step 3.1L1

Remarks

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Derivative of an inverse: if ff is continuous and injective on a nondegenerate interval II and differentiable at cIc \in I with f(c)0f'(c) \ne 0, then the inverse gg is differentiable at f(c)f(c) with g(f(c))=1/f(c)g'(f(c)) = 1/f'(c); and if f(c)=0f'(c) = 0 then gg is not differentiable at f(c)f(c)

Statement

Let IRI \subseteq \mathbb{R} be order-convex with at least two elements (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), let f:IRf : I \to \mathbb{R} be continuous on II (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point) and injective (Injection, surjection, bijection), and let g:f[I]Ig : f[I] \to I be the inverse of f:If[I]f : I \to f[I] supplied by Continuous inverse theorem: a continuous injective ff on an interval II is a bijection onto the order-convex set f[I]f[I], and the inverse g:f[I]Ig : f[I] \to I is continuous and strictly monotone in the same sense as ff. Let cIc \in I and put b:=f(c)b := f(c).

Then cc is a limit point of II and bb is a limit point of f[I]f[I], so that f(c)f'(c) and g(b)g'(b) are meaningful symbols (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), and, assuming ff is differentiable at cc:

  1. if f(c)0f'(c) \ne 0, then gg is differentiable at bb and g(b)  =  1f(c);g'(b) \;=\; \frac{1}{f'(c)} ;
  2. if f(c)=0f'(c) = 0, then gg is not differentiable at bb.

The two claims together say that the inverse inherits differentiability exactly where the derivative does not vanish. Nothing is asserted at a point of f[I]f[I] that is not of the form f(c)f(c) with ff differentiable at cc, and nothing is asserted about gg being differentiable on a set.

No compactness and no boundedness is assumed. II may be open, half-open or unbounded; all that is used of it is order-convexity and the presence of two distinct points, the latter being exactly what makes every point of II a limit point of II (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set).

Facts & Assumptions

[L1]

Continuous inverse theorem (Continuous inverse theorem: a continuous injective ff on an interval II is a bijection onto the order-convex set f[I]f[I], and the inverse g:f[I]Ig : f[I] \to I is continuous and strictly monotone in the same sense as ff, claims 2, 3 and 5): f[I]f[I] is order-convex; f:If[I]f : I \to f[I] is a bijection, so there is exactly one g:f[I]Ig : f[I] \to I with g(f(x))=xg(f(x)) = x for every xIx \in I and f(g(u))=uf(g(u)) = u for every uf[I]u \in f[I]; and gg is continuous on f[I]f[I].

[L2]

Carathéodory's characterisation (Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c)), used in both directions: for DRD \subseteq \mathbb{R}, a point pDp \in D that is a limit point of DD and h:DRh : D \to \mathbb{R}, the function hh is differentiable at pp if and only if there is η:DR\eta : D \to \mathbb{R}, continuous at pp, with h(y)h(p)=η(y)(yp)h(y) - h(p) = \eta(y)(y-p) for every yDy \in D, and then η(p)=h(p)\eta(p) = h'(p).

[L4]

Injectivity (Injection, surjection, bijection): f(x)=f(x)f(x) = f(x') implies x=xx = x', so xcx \ne c gives f(x)f(c)f(x) \ne f(c); and the image f[I]={f(x):xI}f[I] = \{ f(x) : x \in I \}.

[L5]

Algebra and composition of continuous functions: a composite of functions continuous at the relevant points is continuous (A composite of continuous functions is continuous, with no side hypothesis of the kind the composition of limits needs); every constant function is continuous (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, claim 5); and if u,v:DRu, v : D \to \mathbb{R} are continuous at pDp \in D with v(p)0v(p) \ne 0, then (u/v)(u/v) restricted to {yD:v(y)0}\{ y \in D : v(y) \ne 0 \} is continuous at pp (Sums, scalar multiples, products, absolute values, maxima, minima and quotients with nonvanishing denominator of continuous functions are continuous, as are constants, the identity and every polynomial function, claim 4).

[L6]

Chain rule (The chain rule, in one line from Carathéodory: if gg is differentiable at cc and ff is differentiable at g(c)g(c), then fgf \circ g is differentiable at cc with (fg)(c)=f(g(c))g(c)(f \circ g)'(c) = f'(g(c))\,g'(c)): with gg differentiable at the limit point b=f(c)b = f(c) of f[I]f[I] and ff differentiable at the limit point cc of II, the composite gfg \circ f is differentiable at cc with (gf)(c)=g(b)f(c)(g \circ f)'(c) = g'(b)\,f'(c).

Proof

technique · direct
1.1

II has at least two elements, so by [L4] its image f[I]f[I] has at least two elements; and f[I]f[I] is order-convex by [L1]. So [L3] applies to both sets: every point of II is a limit point of II, and every point of f[I]f[I] is a limit point of f[I]f[I]. In particular cc is a limit point of II and b=f(c)f[I]b = f(c) \in f[I] is a limit point of f[I]f[I].

L1L3L4
1.2

Fix the inverse g:f[I]Ig : f[I] \to I of f:If[I]f : I \to f[I], continuous on f[I]f[I]; it satisfies g(f(x))=xg(f(x)) = x for every xIx \in I, so in particular g(b)=cg(b) = c.

L1choose
1.3

Assume ff is differentiable at cc. By [L2], applied to ff on II at the limit point cc, fix φ:IR\varphi : I \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xIx \in I and φ(c)=f(c)\varphi(c) = f'(c).

L2choose
2.1

φ(x)0\varphi(x) \ne 0 for every xIx \in I with xcx \ne c: injectivity gives f(x)f(c)f(x) \ne f(c), so φ(x)(xc)0\varphi(x)(x-c) \ne 0 and hence φ(x)0\varphi(x) \ne 0. If moreover f(c)0f'(c) \ne 0 then φ(c)=f(c)0\varphi(c) = f'(c) \ne 0 as well, so φ\varphi vanishes at no point of II.

step 1.3L4
2.2

The increment of gg, rewritten. Let uf[I]u \in f[I] and put x:=g(u)Ix := g(u) \in I, so f(x)=uf(x) = u by [L1]. Then ub=f(x)f(c)=φ(x)(xc)=φ(g(u))(g(u)g(b))u - b = f(x) - f(c) = \varphi(x)(x - c) = \varphi(g(u))\,\bigl(g(u) - g(b)\bigr), using g(b)=cg(b) = c from step 1.2.

step 1.2step 1.3L1
2.3

Claim 2. Assume f(c)=0f'(c) = 0, and suppose gg were differentiable at bb. Since f[I]f[I]f[I] \subseteq f[I], since ff is differentiable at the limit point cc of II and since b=f(c)b = f(c) is a limit point of f[I]f[I] by step 1.1, the chain rule [L6] gives that gf:IRg \circ f : I \to \mathbb{R} is differentiable at cc with (gf)(c)=g(b)f(c)=g(b)0=0(g \circ f)'(c) = g'(b)\,f'(c) = g'(b) \cdot 0 = 0. But gfg \circ f is the identity on II by step 1.2, and by [L7] the identity on II is differentiable at the limit point cc with derivative 11; the derivative at cc being a single real, this forces 0=10 = 1, which [L7] excludes. So gg is not differentiable at bb.

step 1.1step 1.2L6L7
3.1

The reciprocal factor. Assume f(c)0f'(c) \ne 0. The map gg is continuous at bb by step 1.2 and sends f[I]f[I] into II, and φ\varphi is continuous at c=g(b)c = g(b) by step 1.3, so φg:f[I]R\varphi \circ g : f[I] \to \mathbb{R} is continuous at bb by [L5]; by step 2.1 it vanishes at no point of f[I]f[I], since gg takes values in II, and (φg)(b)=φ(c)=f(c)0(\varphi \circ g)(b) = \varphi(c) = f'(c) \ne 0. Hence, by [L5] applied with the constant numerator 11 and denominator φg\varphi \circ g on the domain f[I]f[I], where the set on which the denominator does not vanish is the whole of f[I]f[I], the function Φ:=1/(φg):f[I]R\Phi := 1/(\varphi \circ g) : f[I] \to \mathbb{R} is continuous at bb and Φ(b)=1/f(c)\Phi(b) = 1/f'(c).

step 1.2step 1.3step 2.1L5
4.1

The factorisation for gg. Assume f(c)0f'(c) \ne 0 and let uf[I]u \in f[I]. Dividing the identity of step 2.2 by the nonzero number (φg)(u)(\varphi \circ g)(u) gives g(u)g(b)=Φ(u)(ub)g(u) - g(b) = \Phi(u)\,(u - b), and this holds for every uf[I]u \in f[I].

step 2.2step 3.1
5.1

Claim 1. Assume f(c)0f'(c) \ne 0. By step 1.1 the point bb is a limit point of f[I]f[I]; by step 4.1 the function Φ:f[I]R\Phi : f[I] \to \mathbb{R} factors the increment of gg at bb; and by step 3.1 it is continuous at bb. So [L2], applied to gg on f[I]f[I] at bb, gives that gg is differentiable at bb with g(b)=Φ(b)=1/f(c)g'(b) = \Phi(b) = 1/f'(c).

step 1.1step 3.1step 4.1L2
6.1

Claim 1 is step 5.1 and claim 2 is step 2.3, and the two limit-point assertions are step 1.1.

step 2.3step 5.1

Remarks

  • Why claim 2 is not a defect of the method. It is a theorem: at a point where f=0f' = 0 no inverse can be differentiable, because the chain rule would then make the derivative of the identity equal to 00. The geometry is the familiar one, a horizontal tangent reflecting into a vertical one, and the argument above is that picture with no picture in it.

  • What is used of Continuous inverse theorem: a continuous injective ff on an interval II is a bijection onto the order-convex set f[I]f[I], and the inverse g:f[I]Ig : f[I] \to I is continuous and strictly monotone in the same sense as ff, and what is not. Only that f[I]f[I] is order-convex, that the two-sided inverse exists and is unique, and that it is continuous. The strict monotonicity that theorem also proves is not needed here, though it is what makes the situation intelligible.

  • The formula is often written g(b)=1/f(g(b))g'(b) = 1/f'(g(b)), which is the same statement since g(b)=cg(b) = c. Written that way it is a formula for gg' at every point of f[I]f[I] at which the hypothesis holds, and that is how the companion page uses it to differentiate xx1/nx \mapsto x^{1/n}.

DefinitionDefinition: Literature-sourcedProof: Not applicablejudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA

Definition

Throughout, R\mathbb{R} is the complete ordered field (Complete ordered field (least-upper-bound property)) and neighbourhoods are those of The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}. Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R} and let cAc \in A.

  • ff has a local maximum at cc, also called a relative maximum, when there is a real ε>0\varepsilon > 0 with f(x)f(c)for every xANε(c).f(x) \le f(c) \qquad \text{for every } x \in A \cap N_{\varepsilon}(c) .
  • ff has a local minimum at cc when there is a real ε>0\varepsilon > 0 with f(x)f(c)f(x) \ge f(c) for every xANε(c)x \in A \cap N_{\varepsilon}(c).
  • ff has a local extremum at cc when it has a local maximum or a local minimum at cc.
  • ff has a strict local maximum at cc when there is a real ε>0\varepsilon > 0 with f(x)<f(c)f(x) < f(c) for every xANε(c)x \in A \cap N^{*}_{\varepsilon}(c), the neighbourhood being punctured; and a strict local minimum at cc when f(x)>f(c)f(x) > f(c) for every such xx.

The point cc is interior to AA when cAc \in A^{\circ} (Interior, closure, boundary and exterior of a subset of R\mathbb{R}), equivalently when there is a real ε>0\varepsilon > 0 with Nε(c)AN_{\varepsilon}(c) \subseteq A; that equivalence is the pointwise description of the interior proved in Interior, closure, boundary and exterior of a subset of R\mathbb{R} and is not reproved here.

The strict forms must puncture, and the weak forms must not. With an unpunctured neighbourhood the strict condition would read f(c)<f(c)f(c) < f(c) at x=cx = c, which no function satisfies, so the notion would be empty. With a punctured neighbourhood the weak condition would say nothing at cc, which is harmless but pointless, since f(c)f(c)f(c) \le f(c) holds anyway. So each form is stated with the quantifier that makes it a condition.

Four consequences, each an obligation this definition carries.

  1. The condition does not depend on which witness ε\varepsilon is produced. If it holds for ε\varepsilon, it holds for every real ε\varepsilon' with 0<εε0 < \varepsilon' \le \varepsilon, because Nε(c)Nε(c)N_{\varepsilon'}(c) \subseteq N_{\varepsilon}(c) (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}). So the existential quantifier may be read as "for all sufficiently small ε\varepsilon", and two witnesses can always be replaced by the smaller of them.

  2. A local maximum really is a maximum, of a set. ff has a local maximum at cc exactly when there is a real ε>0\varepsilon > 0 with f(c)=maxf[ANε(c)]f(c) = \max f\bigl[A \cap N_{\varepsilon}(c)\bigr] (Maximum and minimum of a set). Indeed cANε(c)c \in A \cap N_{\varepsilon}(c), since cAc \in A and cc=0<ε|c - c| = 0 < \varepsilon (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}), so f(c)f(c) belongs to that image; and the defining inequality says exactly that f(c)f(c) bounds the image above. Conversely a maximum of the image is an element of it bounding it above, which is the defining inequality. The same argument with the order reversed identifies a local minimum with a minimum of the same image.

  3. A strict local extremum is a local extremum. If f(x)<f(c)f(x) < f(c) for every xANε(c)x \in A \cap N^{*}_{\varepsilon}(c), then f(x)f(c)f(x) \le f(c) for every xANε(c)x \in A \cap N_{\varepsilon}(c): the points of the unpunctured neighbourhood other than cc are covered by the hypothesis, and at x=cx = c the inequality f(c)f(c)f(c) \le f(c) is automatic.

  4. A global extremum is a local one. If f(c)=maxf[A]f(c) = \max f[A] then ff has a local maximum at cc, with ε:=1\varepsilon := 1 serving, since AN1(c)AA \cap N_1(c) \subseteq A; and dually for the minimum.

An interior point of AA is a limit point of AA. Suppose Nε(c)AN_{\varepsilon}(c) \subseteq A with ε>0\varepsilon > 0 real, and let a real δ>0\delta > 0 be given. The punctured neighbourhood Nρ(c)N^{*}_{\rho}(c) with ρ:=min{δ,ε}>0\rho := \min\{\delta, \varepsilon\} > 0 is nonempty (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}) and is contained both in Nδ(c)N^{*}_{\delta}(c) and in Nε(c)AN_{\varepsilon}(c) \subseteq A; so Nδ(c)AN^{*}_{\delta}(c) \cap A \ne \varnothing. As δ\delta was arbitrary, cc is a limit point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}). This is what makes an interior extremum a place where a derivative can be spoken of at all, and it is the reason the interiority hypothesis appears in Fermat's theorem below rather than being replaced by something weaker.

Remarks

  • "The local maximum" is not a legitimate phrase. A function may have local maxima at many points, and the definite article belongs only to the value f(c)f(c) once the point cc is fixed. A global maximum value is unique when it exists (Maximum and minimum of a set); a local one is not, and neither is the point.

  • Local is a statement about AA, not about R\mathbb{R}. The comparison runs over ANε(c)A \cap N_{\varepsilon}(c), so a function on a small domain has local maxima easily: every point of AA at which ANε(c)={c}A \cap N_{\varepsilon}(c) = \{c\} for some ε\varepsilon, that is every isolated point of AA (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}), carries both a strict local maximum and a strict local minimum, the punctured condition being vacuous there. Interiority is the hypothesis that rules that degenerate case out.

  • Endpoints are the case to keep in mind. For A=[a,b]A = [a,b] with a<ba < b (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) the points aa and bb are not interior to AA: any Nε(a)N_{\varepsilon}(a) contains aε/2a - \varepsilon/2, which is not in [a,b][a,b]. A function may perfectly well attain its greatest value there, with no vanishing derivative anywhere, and the companion page works that case out.

  • Nothing here mentions a derivative. The definition is purely about the order, and it applies to functions that are nowhere differentiable. What the next items add is the interaction, in one direction only: differentiability at an interior extremum forces the derivative to vanish, and the converse is false.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0

Statement

Let ARA \subseteq \mathbb{R}, let f:ARf : A \to \mathbb{R} and let cAc \in A be interior to AA (Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA, Interior, closure, boundary and exterior of a subset of R\mathbb{R}). Suppose ff has a local extremum at cc (Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA) and is differentiable at cc (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set). Then

f(c)  =  0.f'(c) \;=\; 0 .

The symbol f(c)f'(c) is meaningful under these hypotheses because an interior point of AA is a limit point of AA, which is proved in Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA.

Interiority is a hypothesis and not a convenience. At a point of AA that is not interior, the argument below cannot place points of AA on both sides of cc, and the conclusion genuinely fails: the companion page exhibits a function on [0,1][0,1] attaining both its greatest and its least value at points where the derivative is 11.

No converse is asserted. A vanishing derivative does not produce an extremum. The witness is the cubic of FALSE: if f(c)=0f'(c) = 0 then ff is not increasing on any interval containing cc, which has f(0)=0f'(0) = 0 and neither a local maximum nor a local minimum at 00; that failure is recorded in the remarks of that item, not as an item of its own.

Facts & Assumptions

[A1]

cc is interior to AA: there is a real εA>0\varepsilon_A > 0 with NεA(c)AN_{\varepsilon_A}(c) \subseteq A; and such a cc is a limit point of AA, so f(c)f'(c) is defined (Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA, Interior, closure, boundary and exterior of a subset of R\mathbb{R}, Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[A2]

ff has a local extremum at cc: there is a real ρ>0\rho > 0 such that either f(x)f(c)f(x) \le f(c) for every xANρ(c)x \in A \cap N_{\rho}(c), or f(x)f(c)f(x) \ge f(c) for every xANρ(c)x \in A \cap N_{\rho}(c) (Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA).

[L1]

Derivative (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): the difference quotient q(x):=(f(x)f(c))/(xc)q(x) := (f(x)-f(c))/(x-c) is a function on A{c}A \setminus \{c\}, the point cc is a limit point of A{c}A \setminus \{c\}, and limxcq(x)=f(c)\lim_{x \to c} q(x) = f'(c) (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA). In particular f(x)f(c)=q(x)(xc)f(x) - f(c) = q(x)(x - c) for every xAx \in A with xcx \ne c.

[L2]

Sign preservation (If limxcf(x)=L0\lim_{x \to c} f(x) = L \ne 0 then f>L/2|f| > |L|/2 on a punctured neighbourhood of cc; in particular if L>0L > 0 then f>L/2>0f > L/2 > 0 there): if hh is a function on a set DD having cc as a limit point and limxch(x)=L\lim_{x \to c} h(x) = L with L0L \ne 0, then there is a real δ>0\delta > 0 such that every xDx \in D with 0<xc<δ0 < |x - c| < \delta satisfies h(x)>L/2>0h(x) > L/2 > 0 when L>0L > 0, and h(x)<L/2<0h(x) < L/2 < 0 when L<0L < 0.

[L3]

Neighbourhoods (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}): Nε(c)={y:yc<ε}N_{\varepsilon}(c) = \{ y : |y - c| < \varepsilon \}, and of finitely many positive reals the smallest is positive.

[L4]

Order arithmetic (Sign rules for products and monotonicity of multiplication, Ordered field): a product of two positive reals is positive, a product of a positive and a negative real is negative, and trichotomy, so f(c)0f'(c) \ne 0 means f(c)>0f'(c) > 0 or f(c)<0f'(c) < 0, exclusively.

Proof

technique · contradiction
1.1

Suppose, for contradiction, that f(c)0f'(c) \ne 0; by trichotomy either f(c)>0f'(c) > 0 or f(c)<0f'(c) < 0.

assume-contraL4
1.2

Fix a real εA>0\varepsilon_A > 0 with NεA(c)AN_{\varepsilon_A}(c) \subseteq A.

A1choose
1.3

Fix a real ρ>0\rho > 0 as in [A2], so that on ANρ(c)A \cap N_{\rho}(c) the function ff never exceeds f(c)f(c), or never falls below it.

A2choose
2.1

Apply [L2] to h:=qh := q on the domain D:=A{c}D := A \setminus \{c\}, of which cc is a limit point by [L1], with L:=f(c)0L := f'(c) \ne 0: fix a real δ>0\delta > 0 such that every xAx \in A with 0<xc<δ0 < |x - c| < \delta satisfies q(x)>f(c)/2>0q(x) > f'(c)/2 > 0 if f(c)>0f'(c) > 0, and q(x)<f(c)/2<0q(x) < f'(c)/2 < 0 if f(c)<0f'(c) < 0. The clause 0<xc0 < |x-c| makes the two descriptions of the range of xx, over AA and over A{c}A \setminus \{c\}, the same.

step 1.1L1L2choose
3.1

Put η:=min{εA, ρ, δ}\eta := \min\{\varepsilon_A,\ \rho,\ \delta\}, a positive real, and set x+:=c+η/2x_{+} := c + \eta/2 and x:=cη/2x_{-} := c - \eta/2. Each satisfies x±c=η/2<η|x_{\pm} - c| = \eta/2 < \eta, so each lies in NεA(c)AN_{\varepsilon_A}(c) \subseteq A, each lies in Nρ(c)N_{\rho}(c), and each satisfies 0<x±c<δ0 < |x_{\pm} - c| < \delta. In particular x+,xANρ(c)x_{+}, x_{-} \in A \cap N_{\rho}(c) and both differ from cc.

step 1.2step 1.3step 2.1L3
4.1

Suppose f(c)>0f'(c) > 0. By step 2.1, q(x+)>0q(x_{+}) > 0 and q(x)>0q(x_{-}) > 0. Since x+c=η/2>0x_{+} - c = \eta/2 > 0, [L1] and [L4] give f(x+)f(c)=q(x+)(x+c)>0f(x_{+}) - f(c) = q(x_{+})(x_{+}-c) > 0; since xc=η/2<0x_{-} - c = -\eta/2 < 0, they give f(x)f(c)=q(x)(xc)<0f(x_{-}) - f(c) = q(x_{-})(x_{-}-c) < 0. So f(x+)>f(c)f(x_{+}) > f(c) and f(x)<f(c)f(x_{-}) < f(c).

step 2.1step 3.1L1L4
4.2

Suppose instead f(c)<0f'(c) < 0. By step 2.1, q(x+)<0q(x_{+}) < 0 and q(x)<0q(x_{-}) < 0. The same two products, with the signs of the quotients reversed, give f(x+)f(c)<0f(x_{+}) - f(c) < 0 and f(x)f(c)>0f(x_{-}) - f(c) > 0. So f(x)>f(c)f(x_{-}) > f(c) and f(x+)<f(c)f(x_{+}) < f(c).

step 2.1step 3.1L1L4
5.1

In both cases of step 1.1 there is a point of ANρ(c)A \cap N_{\rho}(c) at which ff takes a value strictly greater than f(c)f(c), and a point of ANρ(c)A \cap N_{\rho}(c) at which it takes a value strictly smaller: the two points are x+x_{+} and xx_{-} in one order or the other, and both lie in ANρ(c)A \cap N_{\rho}(c) by step 3.1.

step 3.1step 4.1step 4.2L4
6.1

By step 1.3 one of two things holds on ANρ(c)A \cap N_{\rho}(c): either no value exceeds f(c)f(c), or none falls below it. Step 5.1 produces a value of each kind, so both alternatives fail, and [A2] guarantees that one of them holds. The assumption of step 1.1 is therefore untenable, and f(c)=0f'(c) = 0.

step 1.3step 5.1A2discharge-contradiction

Remarks

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Rolle's theorem: if a<ba < b, ff is continuous on [a,b][a,b], differentiable at every point of (a,b)(a,b), and f(a)=f(b)f(a) = f(b), then f(c)=0f'(c) = 0 for some c(a,b)c \in (a,b)

Statement

Let a,bRa, b \in \mathbb{R} with a<ba < b, let f:[a,b]Rf : [a,b] \to \mathbb{R} be continuous on [a,b][a,b] (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) and differentiable at every point of (a,b)(a,b) as a function on [a,b][a,b] (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), and suppose

f(a)  =  f(b).f(a) \;=\; f(b) .

Then there is c(a,b)c \in (a,b) with f(c)=0f'(c) = 0.

Three hypotheses, three different jobs. Continuity on the closed interval is what the extreme value theorem consumes; differentiability on the open interval is what Fermat's theorem consumes, and it is asked for nowhere else; and f(a)=f(b)f(a) = f(b) is what forces the extremum inside when neither extremum is attained in the interior. Continuity at the two endpoints cannot be dropped, and a false statement later on this page records a witness for that.

Differentiability is meant with respect to the domain [a,b][a,b]. For cc in the open interval that is the same condition as differentiability of any restriction of ff to a subinterval around cc, since only points near cc enter, but the phrase is fixed here so that the citation of Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0, whose hypothesis is interiority in the domain, is exact.

Facts & Assumptions

Given: Reals a<ba < b, a function f:[a,b]Rf : [a,b] \to \mathbb{R} continuous on [a,b][a,b] and differentiable at every point of (a,b)(a,b), with f(a)=f(b)f(a) = f(b).

[L2]

Extreme value theorem (Extreme value theorem: a continuous real function on a nonempty compact subset of R\mathbb{R} attains a greatest and a least value): for ff continuous on AA and KAK \subseteq A nonempty and compact there are p,qKp, q \in K with f(q)f(x)f(p)f(q) \le f(x) \le f(p) for every xKx \in K, so that f(p)=maxf[K]f(p) = \max f[K] and f(q)=minf[K]f(q) = \min f[K] (Maximum and minimum of a set).

[L3]

Every point of (a,b)(a,b) is interior to [a,b][a,b]: for cc with a<c<ba < c < b put ε:=min{ca, bc}\varepsilon := \min\{c - a,\ b - c\}, a positive real; every yy with yc<ε|y - c| < \varepsilon satisfies y>cεay > c - \varepsilon \ge a and y<c+εby < c + \varepsilon \le b, so Nε(c)(a,b)[a,b]N_{\varepsilon}(c) \subseteq (a,b) \subseteq [a,b] (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length, Interior, closure, boundary and exterior of a subset of R\mathbb{R}).

[L4]

A value f(c)f(c) that is a greatest value of ff over the whole of its domain is a local maximum at cc, and a least value is a local minimum at cc (Local (relative) maximum and minimum of f:ARf : A \to \mathbb{R} at a point, the strict forms, and what it means for the point to be interior to AA, claim 4 of its body).

[L5]

Fermat's interior extremum theorem (Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0): a local extremum at a point interior to the domain, at which the function is differentiable, forces the derivative there to vanish.

[L6]

(a,b)(a,b) is nonempty when a<ba < b, since a<(a+b)/2<ba < (a+b)/2 < b (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length).

[L7]

A constant function hh on [a,b][a,b] is differentiable at every point cc of [a,b][a,b] with h(c)=0h'(c) = 0: every point of the nondegenerate order-convex set [a,b][a,b] is a limit point of it, and the difference quotient of hh at cc is the constant 00 on [a,b]{c}[a,b] \setminus \{c\}, whose limit at cc is 00 (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set, The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA).

Proof

technique · direct
1.1

The set [a,b][a,b] is nonempty and compact, and ff is continuous on it.

L1
1.2

Since a<ba < b, the open interval (a,b)(a,b) is nonempty; fix m:=(a+b)/2(a,b)m := (a+b)/2 \in (a,b).

L6choose
2.1

By [L2], applied with A:=K:=[a,b]A := K := [a,b], fix p,q[a,b]p, q \in [a,b] with f(q)f(x)f(p)f(q) \le f(x) \le f(p) for every x[a,b]x \in [a,b].

step 1.1L2choose
3.1

Case A: at least one of p,qp, q lies in (a,b)(a,b). Fix such a point and call it cc. By [L3] the point cc is interior to [a,b][a,b], and ff is differentiable at cc because c(a,b)c \in (a,b). By step 2.1 and [L4], ff has a local maximum at cc if cc is the point pp, and a local minimum at cc if it is the point qq; either way a local extremum. So [L5] gives f(c)=0f'(c) = 0, and c(a,b)c \in (a,b).

step 2.1L3L4L5
3.2

Case B: neither pp nor qq lies in (a,b)(a,b). A point of [a,b][a,b] outside (a,b)(a,b) satisfies axba \le x \le b and not a<x<ba < x < b, hence equals aa or bb; so p,q{a,b}p, q \in \{a, b\} and, since f(a)=f(b)f(a) = f(b), both f(p)f(p) and f(q)f(q) equal f(a)f(a). By step 2.1, every x[a,b]x \in [a,b] satisfies f(a)=f(q)f(x)f(p)=f(a)f(a) = f(q) \le f(x) \le f(p) = f(a), so f(x)=f(a)f(x) = f(a). Thus ff is the constant function with value f(a)f(a) on [a,b][a,b].

step 2.1
4.1

In case B, [L7] gives that ff is differentiable at every point of [a,b][a,b] with derivative 00; in particular f(m)=0f'(m) = 0, and m(a,b)m \in (a,b) by step 1.2.

step 1.2step 3.2L7
5.1

The two cases are exhaustive, since either at least one of p,qp, q lies in (a,b)(a,b) or neither does. Case A supplies a point c(a,b)c \in (a,b) with f(c)=0f'(c) = 0 by step 3.1, and case B supplies the point mm by step 4.1.

step 3.1step 4.1

Remarks

  • The constant case is not a degenerate nuisance, it is the case where the extremum sits on the boundary. When ff is constant the greatest and least values are attained at the endpoints as well as everywhere else, so nothing forces the extreme value theorem to hand back an interior point; the argument has to produce a point of (a,b)(a,b) by hand, and any point will do.

  • Why compactness enters at all. Only through Extreme value theorem: a continuous real function on a nonempty compact subset of R\mathbb{R} attains a greatest and a least value, and only to know that the greatest and least values are attained. A supremum that is not attained is useless here: Fermat's theorem is a statement about a point, not about a bound. That is precisely the hypothesis the companion page's witness removes.

  • Nothing is claimed about how many such cc there are, or where. A single cc is produced, and the proof gives no way to locate it; the theorem is an existence statement and is used only as one.

TheoremStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

Cauchy's mean value theorem: for f,gf, g continuous on [a,b][a,b] with a<ba<b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c); no hypothesis on gg' is needed in this product form

Statement

Let a,bRa, b \in \mathbb{R} with a<ba < b and let f,g:[a,b]Rf, g : [a,b] \to \mathbb{R} be continuous on [a,b][a,b] (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) and differentiable at every point of (a,b)(a,b) as functions on [a,b][a,b] (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set). Then there is c(a,b)c \in (a,b) with

(f(b)f(a))g(c)  =  (g(b)g(a))f(c).\bigl(f(b)-f(a)\bigr)\,g'(c) \;=\; \bigl(g(b)-g(a)\bigr)\,f'(c) .

The statement is a product identity, and that is deliberate. The familiar quotient form

f(b)f(a)g(b)g(a)  =  f(c)g(c)\frac{f(b)-f(a)}{g(b)-g(a)} \;=\; \frac{f'(c)}{g'(c)}

is not asserted here, and it is not equivalent: its left side needs g(b)g(a)g(b) \ne g(a) and its right side needs g(c)0g'(c) \ne 0, and neither follows from the hypotheses. The product form above needs neither, holds under exactly the hypotheses stated, and specialises to the quotient form whenever both denominators happen to be nonzero. The companion page exhibits an ff and a gg for which the quotient form is meaningless while the product form holds.

Facts & Assumptions

Given: Reals a<ba < b and functions f,g:[a,b]Rf, g : [a,b] \to \mathbb{R}, both continuous on [a,b][a,b] and both differentiable at every point of (a,b)(a,b).

[L1]

Rolle's theorem (Rolle's theorem: if a<ba < b, ff is continuous on [a,b][a,b], differentiable at every point of (a,b)(a,b), and f(a)=f(b)f(a) = f(b), then f(c)=0f'(c) = 0 for some c(a,b)c \in (a,b)): a function continuous on [a,b][a,b], differentiable at every point of (a,b)(a,b) and taking equal values at aa and at bb has a vanishing derivative at some point of (a,b)(a,b).

Proof

technique · direct
1.1

Put λ:=f(b)f(a)\lambda := f(b) - f(a) and μ:=g(b)g(a)\mu := g(b) - g(a), two reals, and define h:[a,b]Rh : [a,b] \to \mathbb{R} by h(x):=λg(x)μf(x)h(x) := \lambda\,g(x) - \mu\,f(x).

construct
2.1

hh is continuous on [a,b][a,b], being the sum of the scalar multiples λg\lambda g and (μ)f(-\mu) f of two functions continuous on [a,b][a,b].

step 1.1L2
2.2

hh is differentiable at every c(a,b)c \in (a,b) with h(c)=λg(c)μf(c)h'(c) = \lambda\,g'(c) - \mu\,f'(c): such a cc is a limit point of [a,b][a,b] by [L4], and ff and gg are differentiable there, so the scalar-multiple and sum rules of [L3] apply on the domain [a,b][a,b].

step 1.1L3L4
2.3

h(a)=h(b)h(a) = h(b). Expanding, h(a)=(f(b)f(a))g(a)(g(b)g(a))f(a)=f(b)g(a)f(a)g(a)g(b)f(a)+g(a)f(a)=f(b)g(a)g(b)f(a)h(a) = \bigl(f(b)-f(a)\bigr)g(a) - \bigl(g(b)-g(a)\bigr)f(a) = f(b)g(a) - f(a)g(a) - g(b)f(a) + g(a)f(a) = f(b)g(a) - g(b)f(a), and h(b)=(f(b)f(a))g(b)(g(b)g(a))f(b)=f(b)g(b)f(a)g(b)g(b)f(b)+g(a)f(b)=g(a)f(b)f(a)g(b)h(b) = \bigl(f(b)-f(a)\bigr)g(b) - \bigl(g(b)-g(a)\bigr)f(b) = f(b)g(b) - f(a)g(b) - g(b)f(b) + g(a)f(b) = g(a)f(b) - f(a)g(b). The two expressions are the same.

step 1.1algebra
3.1

By steps 2.1, 2.2 and 2.3 the function hh satisfies every hypothesis of [L1], so there is c(a,b)c \in (a,b) with h(c)=0h'(c) = 0, that is λg(c)μf(c)=0\lambda\,g'(c) - \mu\,f'(c) = 0, that is (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c).

step 2.1step 2.2step 2.3L1

Remarks

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a)

Statement

Let a,bRa, b \in \mathbb{R} with a<ba < b and let f:[a,b]Rf : [a,b] \to \mathbb{R} be continuous on [a,b][a,b] (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) and differentiable at every point of (a,b)(a,b) as a function on [a,b][a,b] (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set). Then there is c(a,b)c \in (a,b) with

f(b)f(a)  =  f(c)(ba).f(b) - f(a) \;=\; f'(c)\,(b - a) .

Equivalently, since ba0b - a \ne 0, there is c(a,b)c \in (a,b) at which f(c)=(f(b)f(a))/(ba)f'(c) = \bigl(f(b)-f(a)\bigr)/(b-a): the derivative somewhere inside equals the average rate of change across the whole interval.

Continuity on the closed interval cannot be dropped. Differentiability at every point of (a,b)(a,b) alone does not suffice: a function on [0,1][0,1], differentiable at every point of (0,1)(0,1) with derivative constantly 11, for which no cc works, is exhibited later on this page as a false statement, and the companion page works the same witness out in full.

Facts & Assumptions

Given: Reals a<ba < b and a function f:[a,b]Rf : [a,b] \to \mathbb{R} continuous on [a,b][a,b] and differentiable at every point of (a,b)(a,b).

[L1]

Cauchy's mean value theorem (Cauchy's mean value theorem: for f,gf, g continuous on [a,b][a,b] with a<ba<b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c); no hypothesis on gg' is needed in this product form): for f,gf, g continuous on [a,b][a,b] and differentiable at every point of (a,b)(a,b) there is c(a,b)c \in (a,b) with (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c).

Proof

technique · direct
1.1

Define g:[a,b]Rg : [a,b] \to \mathbb{R} by g(x):=xg(x) := x.

construct
2.1

gg is continuous on [a,b][a,b] by [L2]; it is differentiable at every c(a,b)c \in (a,b) with g(c)=1g'(c) = 1 by [L3]; and g(b)g(a)=bag(b) - g(a) = b - a.

step 1.1L2L3
3.1

By step 2.1 the pair f,gf, g satisfies every hypothesis of [L1], so there is c(a,b)c \in (a,b) with (f(b)f(a))g(c)=(g(b)g(a))f(c)\bigl(f(b)-f(a)\bigr)g'(c) = \bigl(g(b)-g(a)\bigr)f'(c). Substituting g(c)=1g'(c) = 1 and g(b)g(a)=bag(b)-g(a) = b-a gives f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a).

step 2.1L1

Remarks

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

A function continuous on an interval II whose derivative vanishes at every interior point of II is constant on II; consequently two such functions with the same derivative differ by a constant

Statement

Let IRI \subseteq \mathbb{R} be order-convex (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length) and let f:IRf : I \to \mathbb{R} be continuous on II (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point) and differentiable at every point of II that is interior to II (Interior, closure, boundary and exterior of a subset of R\mathbb{R}, The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), with

f(x)=0at every interior point x of I.f'(x) = 0 \qquad \text{at every interior point } x \text{ of } I .

Then ff is constant on II: there is a real kk with f(x)=kf(x) = k for every xIx \in I.

Consequently, if f,g:IRf, g : I \to \mathbb{R} are both continuous on II and both differentiable at every interior point of II, with f(x)=g(x)f'(x) = g'(x) at every interior point xx, then there is a real kk with

f(x)  =  g(x)+kfor every xI.f(x) \;=\; g(x) + k \qquad \text{for every } x \in I .

Order-convexity of II is essential and is not a convenience. The conclusion is false on a domain that falls into separate pieces, since a function may be constant on each piece with different constants; nothing in the proof would survive, because the mean value theorem is applied to the segment joining two points of the domain and that segment must lie in the domain.

The hypothesis is imposed only at interior points. At an endpoint of II nothing is asked at all: ff need not be differentiable there, and the proof never evaluates a difference quotient at an endpoint, since it applies the mean value theorem on a segment [u,v]I[u,v] \subseteq I and uses the derivative only at points of (u,v)(u,v), all of which are interior to II. What is not meant is that the derivative at an endpoint is free to be nonzero: once ff is known to be constant its difference quotient at an endpoint is constantly 00, so wherever ff' exists at an endpoint it is 00 too. That is a consequence of the theorem, not a hypothesis of it.

Facts & Assumptions

Given: An order-convex IRI \subseteq \mathbb{R} and a function f:IRf : I \to \mathbb{R}, continuous on II and differentiable with vanishing derivative at every interior point of II; for the second claim also a second such function gg with f=gf' = g' at every interior point.

[L1]

Mean value theorem (The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a)): for u<vu < v and h:[u,v]Rh : [u,v] \to \mathbb{R} continuous on [u,v][u,v] and differentiable at every point of (u,v)(u,v), there is c(u,v)c \in (u,v) with h(v)h(u)=h(c)(vu)h(v) - h(u) = h'(c)(v-u).

[L2]

Order-convexity (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length): if u,vIu, v \in I and uzvu \le z \le v then zIz \in I; so u,vIu, v \in I with uvu \le v gives [u,v]I[u,v] \subseteq I.

[L3]

For u<vu < v in II and x(u,v)x \in (u,v), the point xx is interior to II: put ε:=min{xu, vx}\varepsilon := \min\{x - u,\ v - x\}, a positive real; every yy with yx<ε|y - x| < \varepsilon satisfies u<y<vu < y < v, so Nε(x)(u,v)[u,v]IN_{\varepsilon}(x) \subseteq (u,v) \subseteq [u,v] \subseteq I (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}, Interior, closure, boundary and exterior of a subset of R\mathbb{R}, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length).

[L5]

Continuity passes to a subset of the domain: if BAB \subseteq A and h:ARh : A \to \mathbb{R} is continuous at pBp \in B, then hBh|_B is continuous at pp (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point).

Proof

technique · direct
1.1

If II has at most one element then ff is constant on II and there is nothing to prove, the second claim following likewise. So assume II has at least two elements and let u,vIu, v \in I with u<vu < v be arbitrary.

givenL2
2.1

By [L2] the segment [u,v][u,v] is contained in II, and u<vu < v, so [u,v][u,v] is a nondegenerate interval. The restriction f[u,v]f|_{[u,v]} is continuous on [u,v][u,v] by [L5].

step 1.1L2L5
2.2

Let x(u,v)x \in (u,v). By [L3] the point xx is interior to II, so ff is differentiable at xx with f(x)=0f'(x) = 0 by hypothesis. By [L4] the point xx is a limit point of [u,v][u,v], so f[u,v]f|_{[u,v]} is differentiable at xx with (f[u,v])(x)=f(x)=0(f|_{[u,v]})'(x) = f'(x) = 0.

step 1.1L3L4
3.1

By steps 2.1 and 2.2 the function f[u,v]f|_{[u,v]} satisfies the hypotheses of [L1] on [u,v][u,v], so there is c(u,v)c \in (u,v) with f(v)f(u)=(f[u,v])(c)(vu)=0(vu)=0f(v) - f(u) = (f|_{[u,v]})'(c)\,(v-u) = 0 \cdot (v-u) = 0. Hence f(u)=f(v)f(u) = f(v).

step 2.1step 2.2L1
4.1

Any two distinct points of II can be named uu and vv with u<vu < v, and step 3.1 then gives f(u)=f(v)f(u) = f(v); at a single point the equality is trivial. So ff takes one and the same value at every point of II, and ff is constant on II.

step 1.1step 3.1
5.1

Second claim. Put h:=f+(1)gh := f + (-1)g, so h(x)=f(x)g(x)h(x) = f(x) - g(x) on II. By [L6] the function hh is continuous on II. If II has at most one element the claim is trivial; otherwise every point of II is a limit point of II by [L4], so at every interior point xx of II the sum rule of [L6] applies and gives that hh is differentiable at xx with h(x)=f(x)g(x)=0h'(x) = f'(x) - g'(x) = 0. By step 4.1, applied to hh in place of ff, the function hh is constant on II; writing kk for its value, f(x)=g(x)+kf(x) = g(x) + k for every xIx \in I.

step 4.1L4L6

Remarks

  • What is really being used. Only that any two points of II are joined by a segment inside II, and that on such a segment the mean value theorem turns a vanishing derivative into a vanishing increment. Both facts are about II, not about ff, which is why order-convexity is the hypothesis and not, say, openness or connectedness in some other sense.

  • The second claim is the uniqueness half of antidifferentiation. It says that a function on an interval is determined by its derivative up to one additive constant. It says nothing about existence: that some given function is a derivative is a separate question, settled by different machinery, and this page does not address it.

  • A vanishing derivative at every interior point is far stronger than a vanishing derivative somewhere. The theorem consumes the hypothesis at every point of a segment at once; a single stationary point carries no information about ff anywhere else, which is what Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0 already made clear from the other side.

TheoremStatement: AI-adaptedProof: AI-adaptedprecheck passverified 2026-08-09 (gpt-5.6-terra-codex-subscription)Open item page →

On an interval II, for ff continuous on II and differentiable at every interior point: f0f' \ge 0 throughout gives ff nondecreasing, f>0f' > 0 gives ff increasing, f0f' \le 0 and f<0f' < 0 give the two decreasing forms; conversely a nondecreasing ff has f0f' \ge 0 and a nonincreasing ff has f0f' \le 0 wherever it is differentiable, and no strict converse is claimed

Statement

Let IRI \subseteq \mathbb{R} be order-convex (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), let f:IRf : I \to \mathbb{R} be continuous on II (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point) and differentiable at every point of II interior to II (Interior, closure, boundary and exterior of a subset of R\mathbb{R}, The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set). The words nondecreasing, increasing, nonincreasing and decreasing are those of Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences, in which increasing is the strict notion.

  1. If f(x)0f'(x) \ge 0 at every interior point xx of II, then ff is nondecreasing on II.
  2. If f(x)>0f'(x) > 0 at every interior point xx of II, then ff is increasing on II.
  3. If f(x)0f'(x) \le 0 at every interior point xx of II, then ff is nonincreasing on II.
  4. If f(x)<0f'(x) < 0 at every interior point xx of II, then ff is decreasing on II.

Conversely, with no continuity hypothesis and no hypothesis at any other point:

  1. If f:IRf : I \to \mathbb{R} is nondecreasing on II and differentiable at a point cIc \in I that is a limit point of II, then f(c)0f'(c) \ge 0; if ff is nonincreasing and differentiable at such a cc, then f(c)0f'(c) \le 0.

No strict converse is claimed here, and none is true. Claim 5 gives the weak inequality only, and it cannot be improved: an increasing function may have a vanishing derivative at a point. That failure is recorded separately, as a false statement later on this page, with its witness worked out on the companion page. Reading claim 2 backwards is the single most common misuse of this theorem, and this statement does not license it.

Claims 1 to 4 need the interval; claim 5 does not. The forward direction runs through the mean value theorem on a segment joining two points of II, so order-convexity is essential. Claim 5 is a statement about one point and uses only that the difference quotients have a constant sign.

Facts & Assumptions

Given: An order-convex IRI \subseteq \mathbb{R} and a function f:IRf : I \to \mathbb{R}; for claims 1 to 4 also that ff is continuous on II and differentiable at every interior point of II, with the stated sign condition; for claim 5 that ff is monotone on II and differentiable at a limit point cIc \in I of II.

[L1]

Mean value theorem (The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a)): for u<vu < v and h:[u,v]Rh : [u,v] \to \mathbb{R} continuous on [u,v][u,v] and differentiable at every point of (u,v)(u,v), there is c(u,v)c \in (u,v) with h(v)h(u)=h(c)(vu)h(v) - h(u) = h'(c)(v-u).

[L2]

Order-convexity (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length): u,vIu, v \in I with uvu \le v gives [u,v]I[u,v] \subseteq I; and for u<vu < v in II every x(u,v)x \in (u,v) is interior to II, since Nε(x)(u,v)IN_{\varepsilon}(x) \subseteq (u,v) \subseteq I for ε:=min{xu, vx}>0\varepsilon := \min\{x-u,\ v-x\} > 0 (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}, Interior, closure, boundary and exterior of a subset of R\mathbb{R}).

[L3]

Difference quotient and restriction of the domain (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): differentiability of hh at pp means that q(x):=(h(x)h(p))/(xp)q(x) := (h(x)-h(p))/(x-p) on A{p}A \setminus \{p\} has limit h(p)h'(p); if BAB \subseteq A, if pBp \in B is a limit point of BB and if h:ARh : A \to \mathbb{R} is differentiable at pp, then hBh|_B is differentiable at pp with the same derivative; and every point of an order-convex set with at least two elements is a limit point of it (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[L5]

Monotone vocabulary (Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences): ff is nondecreasing on II when f(x)f(y)f(x) \le f(y) for all x,yIx, y \in I with xyx \le y; increasing when f(x)<f(y)f(x) < f(y) for all x<yx < y; nonincreasing and decreasing are the two conditions with the inequalities on the values reversed.

[L6]

Order arithmetic (Sign rules for products and monotonicity of multiplication, Inverses of positives are positive, and reciprocation reverses order, Ordered field): for reals ss and tt with t>0t > 0, s>0s > 0 gives st>0st > 0, s<0s < 0 gives st<0st < 0 and s=0s = 0 gives st=0st = 0, so by trichotomy s0s \ge 0 gives st0st \ge 0 and s0s \le 0 gives st0st \le 0; a nonzero real and its inverse have the same sign, so a quotient s/ts/t with s0s \ge 0 and t>0t > 0, or with s0s \le 0 and t<0t < 0, is 0\ge 0, and a quotient with s0s \le 0 and t>0t > 0, or with s0s \ge 0 and t<0t < 0, is 0\le 0.

[L7]

Limits preserve the non-strict order (If fgf \le g on a punctured neighbourhood of cc then limflimg\lim f \le \lim g, non-strictly): if h1,h2h_1, h_2 are functions on a set DD having cc as a limit point, if both limits at cc exist and if h1h2h_1 \le h_2 at every xDx \in D with 0<xc<η0 < |x - c| < \eta for some real η>0\eta > 0, then limxch1(x)limxch2(x)\lim_{x \to c} h_1(x) \le \lim_{x \to c} h_2(x). The constant function 00 on DD has limit 00 at cc (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA).

Proof

technique · direct
1.1

If II has at most one element then all four of the conditions in [L5] hold on II vacuously or trivially, since there is no pair x<yx < y in II, and claims 1 to 4 are immediate. So assume II has at least two elements, and let u,vIu, v \in I with u<vu < v be arbitrary.

givenL5
1.2

Claim 5. Let ff be nondecreasing on II and differentiable at a limit point cIc \in I of II, and let q(x):=(f(x)f(c))/(xc)q(x) := (f(x)-f(c))/(x-c) on I{c}I \setminus \{c\}, so limxcq(x)=f(c)\lim_{x \to c} q(x) = f'(c) by [L3]. For xIx \in I with x>cx > c one has f(x)f(c)f(x) \ge f(c) by [L5], so the numerator is 0\ge 0 while the denominator xcx - c is >0> 0, and [L6] gives q(x)0q(x) \ge 0. For xIx \in I with x<cx < c one has f(x)f(c)f(x) \le f(c), so the numerator is 0\le 0 while xc<0x - c < 0, and [L6] again gives q(x)0q(x) \ge 0. So the constant function 00 is q\le q at every point of I{c}I \setminus \{c\}, in particular at every such point with 0<xc<10 < |x - c| < 1; both functions have limits at the limit point cc of I{c}I \setminus \{c\}, namely 00 and f(c)f'(c), so [L7] gives 0f(c)0 \le f'(c). The nonincreasing case is the same argument with both inequalities on the values reversed, which makes q0q \le 0 throughout and hence f(c)0f'(c) \le 0.

L3L5L6L7
2.1

By [L2] the segment [u,v][u,v] is contained in II and is nondegenerate. The restriction f[u,v]f|_{[u,v]} is continuous on [u,v][u,v] by [L4]; and for x(u,v)x \in (u,v) the point xx is interior to II by [L2], so ff is differentiable at xx, while xx is a limit point of [u,v][u,v] by [L3], so f[u,v]f|_{[u,v]} is differentiable at xx with (f[u,v])(x)=f(x)(f|_{[u,v]})'(x) = f'(x).

step 1.1L2L3L4
3.1

By step 2.1 the function f[u,v]f|_{[u,v]} satisfies the hypotheses of [L1] on [u,v][u,v], so fix c(u,v)c \in (u,v) with f(v)f(u)=f(c)(vu)f(v) - f(u) = f'(c)\,(v-u); and vu>0v - u > 0 since u<vu < v.

step 2.1L1choose
4.1

If f(x)0f'(x) \ge 0 at every interior point of II then in particular f(c)0f'(c) \ge 0, so f(v)f(u)=f(c)(vu)0f(v)-f(u) = f'(c)(v-u) \ge 0 by [L6], that is f(u)f(v)f(u) \le f(v). If f(x)>0f'(x) > 0 at every interior point then f(c)>0f'(c) > 0 and the same product is >0> 0, that is f(u)<f(v)f(u) < f(v).

step 3.1L6
4.2

If f(x)0f'(x) \le 0 at every interior point then f(c)0f'(c) \le 0 and f(v)f(u)0f(v)-f(u) \le 0 by [L6], that is f(u)f(v)f(u) \ge f(v). If f(x)<0f'(x) < 0 at every interior point then f(c)<0f'(c) < 0 and f(v)f(u)<0f(v)-f(u) < 0, that is f(u)>f(v)f(u) > f(v).

step 3.1L6
5.1

The pair u<vu < v in II was arbitrary, so steps 4.1 and 4.2 establish exactly the four conditions of [L5]: for the two non-strict ones the case u=vu = v is the trivial equality f(u)=f(u)f(u) = f(u), and the two strict ones are conditions on pairs u<vu < v only. Claims 1 to 4 are proved.

step 1.1step 4.1step 4.2L5
6.1

Claims 1 to 4 are step 5.1 and claim 5 is step 1.2.

step 1.2step 5.1

Remarks

CorollaryStatement: Literature-sourcedProof: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

If ff is continuous on an interval II and fM|f'| \le M at every interior point, then f(x)f(y)Mxy|f(x) - f(y)| \le M|x-y| for all x,yIx,y \in I, so ff is Lipschitz with constant MM and uniformly continuous on II

Statement

Let IRI \subseteq \mathbb{R} be order-convex (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), let f:IRf : I \to \mathbb{R} be continuous on II (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point) and differentiable at every point of II interior to II (Interior, closure, boundary and exterior of a subset of R\mathbb{R}, The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), and let MRM \in \mathbb{R} with M0M \ge 0 satisfy

f(x)    Mat every interior point x of I.|f'(x)| \;\le\; M \qquad \text{at every interior point } x \text{ of } I .

Then

f(x)f(y)    Mxyfor all x,yI,|f(x) - f(y)| \;\le\; M\,|x - y| \qquad \text{for all } x, y \in I ,

which is exactly the statement that ff is Lipschitz with constant MM on II (Lipschitz map, α\alpha-Hölder map for rational 0<α10 < \alpha \le 1, and contraction, clause 3 of Dictionary: for ARA \subseteq \mathbb{R} with the metric d(x,y)=xyd(x,y) = |x-y|, continuity and uniform continuity of f:ARf : A \to \mathbb{R} agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of R\mathbb{R} is compact in the open-cover sense of R\mathbb{R} exactly when it is a compact metric subspace). Consequently ff is uniformly continuous on II (Uniform continuity of f:ARf : A \to \mathbb{R}: one δ\delta serving every pair of points of AA).

M0M \ge 0 is a hypothesis, not a deduction. It follows from f(x)M|f'(x)| \le M at any single interior point, absolute values being nonnegative, but II need have no interior point at all, and then the sign condition has to be asked for. With M0M \ge 0 assumed the conclusion is a genuine statement in every case, and at x=yx = y it reads 000 \le 0.

Boundedness of ff' cannot be dropped. A function may be continuous on an interval and differentiable at every interior point with no bound on f|f'|, and then it need not be Lipschitz there; the companion page's square root on (0,1](0,1] is such a function.

Facts & Assumptions

Given: An order-convex IRI \subseteq \mathbb{R}, a function f:IRf : I \to \mathbb{R} continuous on II and differentiable at every interior point of II, and a real M0M \ge 0 with f(x)M|f'(x)| \le M at every interior point xx of II.

[L1]

Mean value theorem (The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a)): for u<vu < v and h:[u,v]Rh : [u,v] \to \mathbb{R} continuous on [u,v][u,v] and differentiable at every point of (u,v)(u,v), there is c(u,v)c \in (u,v) with h(v)h(u)=h(c)(vu)h(v)-h(u) = h'(c)(v-u).

[L2]

Order-convexity (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length): u,vIu, v \in I with uvu \le v gives [u,v]I[u,v] \subseteq I; and for u<vu < v in II every x(u,v)x \in (u,v) is interior to II, since Nε(x)(u,v)IN_{\varepsilon}(x) \subseteq (u,v) \subseteq I for ε:=min{xu, vx}>0\varepsilon := \min\{x-u,\ v-x\} > 0 (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}, Interior, closure, boundary and exterior of a subset of R\mathbb{R}).

[L3]

Restriction of the domain (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): if BAB \subseteq A, if pBp \in B is a limit point of BB and if h:ARh : A \to \mathbb{R} is differentiable at pp, then hBh|_B is differentiable at pp with the same derivative; every point of an order-convex set with at least two elements is a limit point of it (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}).

[L5]

Absolute value (Basic properties of the absolute value): u0|u| \ge 0; u=0|u| = 0 exactly when u=0u = 0; uw=uw|uw| = |u|\,|w|; and u=u|{-u}| = |u|, so xy=yx|x - y| = |y - x|.

[L6]

Dictionary (Dictionary: for ARA \subseteq \mathbb{R} with the metric d(x,y)=xyd(x,y) = |x-y|, continuity and uniform continuity of f:ARf : A \to \mathbb{R} agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of R\mathbb{R} is compact in the open-cover sense of R\mathbb{R} exactly when it is a compact metric subspace, clause 3): for a real L0L \ge 0, "f:ARf : A \to \mathbb{R} is Lipschitz with constant LL" means exactly that f(x)f(x)Lxx|f(x)-f(x')| \le L\,|x-x'| for all x,xAx, x' \in A, this being the metric condition of Lipschitz map, α\alpha-Hölder map for rational 0<α10 < \alpha \le 1, and contraction instantiated at ARA \subseteq \mathbb{R} with d(x,y)=xyd(x,y) = |x-y|.

[L8]

Multiplying non-strict inequalities of nonnegatives (Multiplying inequalities of positives): 0st0 \le s \le t and 0wz0 \le w \le z imply swtzsw \le tz.

Proof

technique · direct
1.1

Let x,yIx, y \in I. If x=yx = y then f(x)f(y)=0=0|f(x)-f(y)| = |0| = 0 and Mxy=M0=0M|x-y| = M \cdot 0 = 0, so the asserted inequality holds. Assume therefore xyx \ne y, and put u:=min{x,y}u := \min\{x,y\} and v:=max{x,y}v := \max\{x,y\}, so that u,vIu, v \in I, u<vu < v, and xy=vu=vu|x - y| = v - u = |v - u| by [L5].

givenL5
2.1

By [L2] the segment [u,v][u,v] lies in II and is nondegenerate; the restriction f[u,v]f|_{[u,v]} is continuous on [u,v][u,v] by [L4]; and each x(u,v)x' \in (u,v) is interior to II by [L2], hence a point at which ff is differentiable with f(x)M|f'(x')| \le M, while xx' is a limit point of [u,v][u,v] by [L3], so f[u,v]f|_{[u,v]} is differentiable at xx' with the same derivative.

step 1.1L2L3L4
3.1

By step 2.1 the function f[u,v]f|_{[u,v]} satisfies the hypotheses of [L1], so fix c(u,v)c \in (u,v) with f(v)f(u)=f(c)(vu)f(v) - f(u) = f'(c)\,(v-u).

step 2.1L1choose
4.1

Taking absolute values in step 3.1 and using uw=uw|uw| = |u||w| gives f(v)f(u)=f(c)vu|f(v)-f(u)| = |f'(c)|\,|v-u|. The point cc lies in (u,v)(u,v), hence is interior to II by step 2.1, so 0f(c)M0 \le |f'(c)| \le M; and 0vuvu0 \le |v-u| \le |v-u|. So [L8] gives f(c)vuMvu|f'(c)|\,|v-u| \le M\,|v-u|, whence f(v)f(u)Mvu|f(v)-f(u)| \le M\,|v-u|. Since {u,v}={x,y}\{u,v\} = \{x,y\} and f(v)f(u)=f(x)f(y)|f(v)-f(u)| = |f(x)-f(y)| by [L5], and vu=xy|v-u| = |x-y| by step 1.1, this is f(x)f(y)Mxy|f(x)-f(y)| \le M\,|x-y|.

step 2.1step 3.1L5L8
5.1

The pair x,yIx, y \in I was arbitrary and the case x=yx = y was settled in step 1.1, so f(x)f(y)Mxy|f(x)-f(y)| \le M|x-y| for all x,yIx, y \in I. By [L6] that is the statement that ff is Lipschitz with constant MM on II, and by [L7] such an ff is uniformly continuous on II.

step 1.1step 4.1L6L7

Remarks

RemarkRemark: AI-adaptedProof: Not applicablejudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

What is fixed here and what is not: the derivative is taken at a point of the domain that is also a limit point of it, one-sided derivatives and derivatives of order above one are not introduced at this point in the reading order, and f(c)f'(c) and dfdx(c)\frac{df}{dx}(c) name the same real number

This page fixes fewer conventions than a reader of a calculus text may expect, and it is worth saying which, so that a later page can rely on them and so that nothing here is read as more than it is.

Where a derivative may be taken. f(c)f'(c) is defined only when cc belongs to the domain AA of ff and is a limit point of AA (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set, Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}). At an isolated point of AA the symbol is not defined, and the function is neither differentiable nor non-differentiable there: the question is not posed. This is inherited from The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA, which leaves limxc\lim_{x \to c} undefined at an isolated point for the reason recorded there, namely that the ε\varepsilon-δ\delta condition would be satisfied vacuously by every real at once.

The domain is part of the data. "Differentiable at cc" is a statement about the pair (f,A)(f, A) and the point cc, not about ff near cc in isolation. Shrinking the domain preserves differentiability and the value of the derivative whenever the smaller domain still has cc as a limit point (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set), but enlarging it need not, and the companion page's witness at a corner shows that it need not. Wherever a statement on this page says "differentiable at every point of (a,b)(a,b)" for a function on [a,b][a,b], the domain meant is [a,b][a,b].

One-sided derivatives are not introduced at this point in the reading order. No item up to this point in the reading order defines one, and nothing below may be cited as though one had been. The ingredient is available: The left and right limits of ff at cc, as limits of the restrictions of ff to A(,c)A \cap (-\infty, c) and A(c,)A \cap (c, \infty) defines the limit of ff at cc from the right as the limit at cc of the restriction of ff to A(c,)A \cap (c, \infty) (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), and a right derivative would be that limit applied to the difference quotient. Nothing on this page needs it, so nothing on this page defines it. What does occur, and should not be confused with it, is the derivative at an endpoint of an interval: for ff on [a,b][a,b] the symbol f(a)f'(a) is defined by The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set without any new convention, because the domain supplies points on one side of aa only and the difference quotient is a function on (a,b](a,b]. So the object other texts call a one-sided derivative appears here as an ordinary derivative on a domain that happens to lie on one side.

Derivatives of order above one are not introduced at this point in the reading order either, and no item up to this point in the reading order defines one. A later page takes them up; nothing on this page anticipates it. Doing so requires more than iterating the definition: ff' is a function on the set of points at which ff is differentiable, and to differentiate that function at a point one needs the point to be a limit point of that set, which is a hypothesis about ff and not a formality. No statement on this page mentions ff'', and none should be read as implying anything about it.

Two notations, one object. f(c)f'(c) and dfdx(c)\frac{df}{dx}(c) name the same real number. The second is a name, not a quotient: nothing in this library divides dfdf by dxdx, no object called dfdf is introduced, and the letter xx in it is a name for the argument of ff and not a variable that is being fixed or varied. This page writes f(c)f'(c) throughout.

Two descriptions, one notion. By Carathéodory's characterisation: ff is differentiable at cc if and only if there is φ:AR\varphi : A \to \mathbb{R}, continuous at cc, with f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x - c) for every xAx \in A, and then φ\varphi is unique and φ(c)=f(c)\varphi(c) = f'(c), "ff is differentiable at cc" may be read either as the convergence of the difference quotient or as the existence of a factorisation f(x)f(c)=φ(x)(xc)f(x) - f(c) = \varphi(x)(x-c) with φ\varphi continuous at cc. The two are equivalent, and the factor is unique, so either may be taken as the meaning of the word without ambiguity. Every statement on this page is phrased in the first, and the two readings divide the proofs between them: the differentiation rules use the factorisation, namely A function differentiable at cc is continuous at cc, Sums, scalar multiples, products and quotients: (f+g)(c)=f(c)+g(c)(f+g)'(c) = f'(c) + g'(c), (αf)(c)=αf(c)(\alpha f)'(c) = \alpha f'(c), (fg)(c)=f(c)g(c)+f(c)g(c)(fg)'(c) = f'(c)g(c) + f(c)g'(c), and (f/g)(c)=(f(c)g(c)f(c)g(c))/g(c)2(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2} when g(c)0g(c) \ne 0, The chain rule, in one line from Carathéodory: if gg is differentiable at cc and ff is differentiable at g(c)g(c), then fgf \circ g is differentiable at cc with (fg)(c)=f(g(c))g(c)(f \circ g)'(c) = f'(g(c))\,g'(c) and Derivative of an inverse: if ff is continuous and injective on a nondegenerate interval II and differentiable at cIc \in I with f(c)0f'(c) \ne 0, then the inverse gg is differentiable at f(c)f(c) with g(f(c))=1/f(c)g'(f(c)) = 1/f'(c); and if f(c)=0f'(c) = 0 then gg is not differentiable at f(c)f(c), each exhibiting a factor and reading its continuity off the algebra of continuous functions; while the rest of the page works with the difference quotient directly, among them The linear-approximation form of the derivative: ff is differentiable at cc with f(c)=Lf'(c) = L if and only if the remainder r(x)=f(x)f(c)L(xc)r(x) = f(x) - f(c) - L(x-c) satisfies limxcr(x)/(xc)=0\lim_{x \to c} r(x)/(x-c) = 0; at most one LL does so, so xf(c)+L(xc)x \mapsto f(c) + L(x-c) is the unique affine map approximating ff to first order at cc, the base cases of For a natural n1n \ge 1 the function xxnx \mapsto x^{n} is differentiable everywhere with derivative ι(n)xn1\iota(n)\,x^{\,n-1}; for n=0n = 0 it is the constant 11, with derivative 00; for a natural n1n \ge 1 the function xxnx \mapsto x^{-n} is differentiable at every x0x \ne 0 with derivative ι(n)xn1-\iota(n)\,x^{-n-1}; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, and Fermat's interior extremum theorem: if ff has a local extremum at a point cc interior to its domain and is differentiable at cc, then f(c)=0f'(c) = 0, whose whole mechanism is the sign of the quotient near the point.

What is deliberately not claimed anywhere on this page. That ff' is continuous where it exists; that differentiability alone, with no hypothesis on ff', gives any regularity beyond the continuity of A function differentiable at cc is continuous at cc — a bound on ff' does give more, and that is If ff is continuous on an interval II and fM|f'| \le M at every interior point, then f(x)f(y)Mxy|f(x) - f(y)| \le M|x-y| for all x,yIx,y \in I, so ff is Lipschitz with constant MM and uniformly continuous on II; and that a vanishing derivative marks a local extremum. None of the three is addressed here, and no item on this page may be cited for any of them. What is recorded, as the two false statements of this page, is that the mean value theorem needs continuity on the closed interval and that a vanishing derivative at a point does not prevent a function from being increasing; each carries its own witness.

5 · Examples, counterexamples and false statements

False statementConstruction: AI-adaptedVerification: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

FALSE: differentiability at every point of (a,b)(a,b) alone yields a c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a)

Statement

False claim: let a,bRa, b \in \mathbb{R} with a<ba < b and let f:[a,b]Rf : [a,b] \to \mathbb{R} be differentiable at every point of (a,b)(a,b) as a function on [a,b][a,b] (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length). Then there is c(a,b)c \in (a,b) with

f(b)f(a)  =  f(c)(ba).f(b) - f(a) \;=\; f'(c)\,(b - a) .

This is The mean value theorem, as the case g(x)=xg(x) = x of Cauchy's: for ff continuous on [a,b][a,b] with a<ba < b and differentiable on (a,b)(a,b) there is c(a,b)c \in (a,b) with f(b)f(a)=f(c)(ba)f(b) - f(a) = f'(c)(b-a) with the hypothesis "ff is continuous on [a,b][a,b]" deleted, everything else left as it stands. It is false.

Why it is tempting. The conclusion mentions ff' only at interior points, and the hypothesis of continuity on the closed interval looks like a technical condition guaranteeing nothing the differentiability does not already give. It is not: the values f(a)f(a) and f(b)f(b) appear on the left-hand side of the conclusion, and nothing in a hypothesis about (a,b)(a,b) alone connects them to the behaviour of ff inside. A single unrelated value at one endpoint breaks the identity outright.

Facts & Assumptions

Given: The interval [0,1][0,1] and the function f:[0,1]Rf : [0,1] \to \mathbb{R} defined by f(x):=xf(x) := x for x[0,1)x \in [0,1) and f(1):=0f(1) := 0 (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length).

[L1]

Derivative (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): for c[0,1]c \in [0,1] a limit point of [0,1][0,1], the difference quotient q(x):=(f(x)f(c))/(xc)q(x) := (f(x)-f(c))/(x-c) is a function on [0,1]{c}[0,1] \setminus \{c\}, and ff is differentiable at cc with f(c)=Lf'(c) = L exactly when for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that every x[0,1]x \in [0,1] with 0<xc<δ0 < |x-c| < \delta satisfies q(x)L<ε|q(x) - L| < \varepsilon (The ε\varepsilon-δ\delta limit limxcf(x)=L\lim_{x \to c} f(x) = L of f:ARf : A \to \mathbb{R} at a limit point cc of AA).

[L3]

Absolute value and order (Basic properties of the absolute value): u0|u| \ge 0; u=0|u| = 0 exactly when u=0u = 0; and for δ>0\delta > 0 the condition yc<δ|y - c| < \delta is cδ<y<c+δc - \delta < y < c + \delta.

[L4]

010 \ne 1 in R\mathbb{R}, since 0<10 < 1 (The multiplicative identity is positive).

[L5]

Continuity at a point (Continuity of f:ARf : A \to \mathbb{R} at a point of AA and on AA: the ε\varepsilon-δ\delta condition, its agreement with limxcf(x)=f(c)\lim_{x \to c} f(x) = f(c) at a limit point, and continuity at an isolated point): ff is continuous at p[0,1]p \in [0,1] when for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 such that every x[0,1]x \in [0,1] with xp<δ|x - p| < \delta satisfies f(x)f(p)<ε|f(x) - f(p)| < \varepsilon.

Refutation

technique · direct
1.1

ff is a well-defined function on [0,1][0,1]: every x[0,1]x \in [0,1] either equals 11 or does not, exclusively, so exactly one of the two clauses applies to it.

given
1.2

f(0)=0f(0) = 0, since 0[0,1)0 \in [0,1), and f(1)=0f(1) = 0 by the second clause. Hence f(1)f(0)=0f(1) - f(0) = 0, and also f(0)=f(1)f(0) = f(1).

given
2.1

The derivative inside. Let c(0,1)c \in (0,1) and put δ:=min{c, 1c}\delta := \min\{c,\ 1-c\}, a positive real. Every x[0,1]x \in [0,1] with 0<xc<δ0 < |x - c| < \delta satisfies x<c+δc+(1c)=1x < c + \delta \le c + (1-c) = 1 by [L3], so x[0,1)x \in [0,1) and f(x)=xf(x) = x; and c[0,1)c \in [0,1), so f(c)=cf(c) = c. Therefore q(x)=(xc)/(xc)=1q(x) = (x - c)/(x - c) = 1 for every such xx.

step 1.1L3
2.2

ff is not continuous at 11. Take ε:=1/2\varepsilon := 1/2 and let a real δ>0\delta > 0 be given. Put x:=max{1δ/2, 1/2}x := \max\{1 - \delta/2,\ 1/2\}; then 1/2x<11/2 \le x < 1, so x[0,1)x \in [0,1) and f(x)=xf(x) = x, while x1δ/2<δ|x - 1| \le \delta/2 < \delta. Yet f(x)f(1)=x0=x1/2=ε|f(x) - f(1)| = |x - 0| = x \ge 1/2 = \varepsilon. So no δ\delta witnesses the condition of [L5] at p=1p = 1 for this ε\varepsilon.

step 1.1L3L5
3.1

Let c(0,1)c \in (0,1) and let a real ε>0\varepsilon > 0 be given. The δ\delta of step 2.1 satisfies: every x[0,1]x \in [0,1] with 0<xc<δ0 < |x-c| < \delta has q(x)1=11=0<ε|q(x) - 1| = |1 - 1| = 0 < \varepsilon by [L3]. Since cc is a limit point of [0,1][0,1] by [L2], this is exactly the condition of [L1] with L:=1L := 1. So ff is differentiable at cc with f(c)=1f'(c) = 1.

step 2.1L1L2L3
4.1

The claim fails on this witness. By step 3.1 the function ff is differentiable at every point of (0,1)(0,1), so it satisfies the hypothesis of the false claim with a:=0a := 0 and b:=1b := 1. For every c(0,1)c \in (0,1) one has f(c)(ba)=1(10)=1f'(c)(b-a) = 1 \cdot (1 - 0) = 1, while f(b)f(a)=f(1)f(0)=0f(b) - f(a) = f(1) - f(0) = 0 by step 1.2. By [L4] these are different, so no c(0,1)c \in (0,1) satisfies the asserted identity, and the claim is false.

step 1.2step 3.1L4
5.1

The same witness refutes the corresponding weakening of Rolle's theorem: by step 1.2 one has f(0)=f(1)f(0) = f(1), and by step 3.1 one has f(c)=10f'(c) = 1 \ne 0 at every c(0,1)c \in (0,1), so no interior point carries a vanishing derivative. What is missing in both cases is exactly the hypothesis deleted, continuity on the closed interval, and step 2.2 shows it fails at the single point 11.

step 1.2step 2.2step 3.1step 4.1L6

Remarks

False statementConstruction: Literature-sourcedVerification: AI-adaptedprecheck passjudge pass (z-ai/glm-5.2)audited 2026-07-28Open item page →

FALSE: if f(c)=0f'(c) = 0 then ff is not increasing on any interval containing cc

Statement

False claim: let IRI \subseteq \mathbb{R} be an interval (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length), let f:IRf : I \to \mathbb{R} and let cIc \in I be a point at which ff is differentiable with

f(c)  =  0f'(c) \;=\; 0

(The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set). Then ff is not increasing on II, in the strict sense of Nondecreasing, increasing (strictly increasing), nonincreasing, decreasing, monotone and strictly monotone real functions on a subset of R\mathbb{R}, with the dictionary to monotone sequences.

Why it is tempting. On an interval II, for ff continuous on II and differentiable at every interior point: f0f' \ge 0 throughout gives ff nondecreasing, f>0f' > 0 gives ff increasing, f0f' \le 0 and f<0f' < 0 give the two decreasing forms; conversely a nondecreasing ff has f0f' \ge 0 and a nonincreasing ff has f0f' \le 0 wherever it is differentiable, and no strict converse is claimed proves that f>0f' > 0 at every interior point gives an increasing function, and one reads the implication backwards: if strict increase comes from a strictly positive derivative, surely a derivative that fails to be strictly positive somewhere must destroy the strict increase there. It does not. Claim 5 of that theorem is the true converse, and it is non-strict: an increasing ff has f0f' \ge 0 wherever it is differentiable, and nothing forbids equality at isolated points.

Facts & Assumptions

Given: The interval I:=RI := \mathbb{R}, the point c:=0c := 0 and the function f:RRf : \mathbb{R} \to \mathbb{R}, f(x):=x3f(x) := x^{3} (Integer powers ama^m, Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length).

[L2]

Canonical naturals (The canonical natural ι(n)=n1F\iota(n) = n \cdot 1_F of a field, Canonical naturals are positive and strictly increasing): ι(n)>0\iota(n) > 0 for every natural n1n \ge 1, so in particular ι(3)>0\iota(3) > 0.

[L3]

Powers (Integer powers ama^m): a0=1a^{0} = 1, a2=aaa^{2} = a \cdot a, and 0a=00 \cdot a = 0, so 02=00^{2} = 0.

[L4]

Order arithmetic (Sign rules for products and monotonicity of multiplication, Ordered field): a product of two positive reals is positive and a product of two negative reals is positive; the order is total and transitive, and trichotomy holds.

[L7]

Restriction of the derivative (The derivative f(c)=limxcf(x)f(c)xcf'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c} of f:ARf : A \to \mathbb{R} at a point cAc \in A that is a limit point of AA, and differentiability on a set): if BAB \subseteq A, if pBp \in B is a limit point of BB and if h:ARh : A \to \mathbb{R} is differentiable at pp, then hBh|_B is differentiable at pp with the same derivative; every point of an order-convex set with at least two elements is a limit point of it (Limit point, isolated point, adherent point, derived set, and dense subset of R\mathbb{R}); and a point pp is interior to a set SS exactly when Nε(p)SN_{\varepsilon}(p) \subseteq S for some real ε>0\varepsilon > 0 (The ε\varepsilon-neighbourhood and the punctured ε\varepsilon-neighbourhood of a point of R\mathbb{R}, Interior, closure, boundary and exterior of a subset of R\mathbb{R}).

[L9]

A positive base has positive natural powers (Monotonicity of xxnx \mapsto x^n and of nann \mapsto a^n, claim 1).

Refutation

technique · direct
1.1

By [L1] with n:=3n := 3, the function ff is differentiable at every real cc with f(c)=ι(3)c2f'(c) = \iota(3)\,c^{2}. In particular f(0)=ι(3)02=ι(3)0=0f'(0) = \iota(3) \cdot 0^{2} = \iota(3) \cdot 0 = 0 by [L3].

L1L3
1.2

For every real c0c \ne 0 one has c2>0c^{2} > 0: if c>0c > 0 this is [L9]; if c<0c < 0 then c2=ccc^{2} = c \cdot c is a product of two negative reals, hence positive by [L3] and [L4]. Therefore f(c)=ι(3)c2>0f'(c) = \iota(3)c^{2} > 0 for every c0c \ne 0, being a product of two positive reals by [L2] and [L4].

L2L3L4L9
1.3

Put I1:=(,0]I_1 := (-\infty, 0] and I2:=[0,)I_2 := [0,\infty), both order-convex with at least two elements (Intervals of R\mathbb{R}: the nine order-convex forms, nondegeneracy, and length). Every real x<0x < 0 is interior to I1I_1, since Nx(x)(,0)I1N_{|x|}(x) \subseteq (-\infty,0) \subseteq I_1; and 00 is not interior to I1I_1, since every Nε(0)N_{\varepsilon}(0) contains ε/2>0\varepsilon/2 > 0, which is not in I1I_1. As every interior point of I1I_1 lies in I1I_1 and so satisfies x0x \le 0, the interior points of I1I_1 are exactly the reals x<0x < 0. The same argument gives that the interior points of I2I_2 are exactly the reals x>0x > 0.

L4L7
2.1

By [L6] the function ff is continuous on R\mathbb{R}, hence fI1f|_{I_1} is continuous on I1I_1 and fI2f|_{I_2} is continuous on I2I_2. At every interior point xx of I1I_1 one has x<0x < 0 by step 1.3, so xx is a limit point of I1I_1 by [L7] and fI1f|_{I_1} is differentiable at xx with derivative f(x)=ι(3)x2>0f'(x) = \iota(3)x^{2} > 0 by step 1.2 and [L7]. So [L5] gives that fI1f|_{I_1} is increasing on I1I_1; the same argument on I2I_2 gives that fI2f|_{I_2} is increasing on I2I_2.

step 1.2step 1.3L5L6L7
3.1

Let a,bRa, b \in \mathbb{R} with a<ba < b. If b0b \le 0 then a,bI1a, b \in I_1 and step 2.1 gives f(a)<f(b)f(a) < f(b). If a0a \ge 0 then a,bI2a, b \in I_2 and step 2.1 gives f(a)<f(b)f(a) < f(b). Otherwise b>0b > 0 and a<0a < 0, so a,0I1a, 0 \in I_1 with a<0a < 0 gives f(a)<f(0)f(a) < f(0), while 0,bI20, b \in I_2 with 0<b0 < b gives f(0)<f(b)f(0) < f(b), and transitivity gives f(a)<f(b)f(a) < f(b). The three cases are exhaustive, since failing both b0b \le 0 and a0a \ge 0 means b>0b > 0 and a<0a < 0. So ff is increasing on R\mathbb{R} by [L8].

step 2.1L4L8
4.1

The false claim fails on this witness: R\mathbb{R} is an interval, ff is differentiable at c=0c = 0 with f(0)=0f'(0) = 0 by step 1.1, and yet ff is increasing on R\mathbb{R} by step 3.1. So a vanishing derivative forbids nothing of the kind, and the claim is false.

step 1.1step 3.1

Remarks

Sources

Standard references

Recommended treatments; not extraction sources.