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.
on : no satisfies
Statement refuted
Refuted claim: if is continuous on and differentiable on , then there is with
That is the equality form of the mean value theorem (The mean value theorem, as the case of Cauchy's: for continuous on with and differentiable on there is with ), which is true for and false for . What survives is the inequality of The mean value inequality: if is continuous and differentiable on with , then , and this item is the witness showing that the inequality cannot be upgraded.
The witness. Take , and with components and (Integer powers , Vector-valued functions , their limits and continuity, with the dictionary to the metric notions).
Why this curve and not the classical one. The crispest classical witness is on , whose derivative has constant norm while the endpoints coincide. The trigonometric functions are introduced later in the reading order than this page, so they may not be used here; the polynomial curve above carries the same refutation with the material available. This substitution is recorded here, in the item itself, so that a reader who knows the classical example is told why it is absent rather than left to suppose that this library does not know it.
Facts & Assumptions
Given: The function with and , and the reals (The canonical natural of a field).
The refuted claim, instantiated at , , : there is with , that is .
Derivatives of powers: is differentiable at every real with derivative for (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term, Integer powers , The canonical natural of a field).
A vector-valued function is differentiable at a point exactly when each component is, and then ; equality of two elements of is equality of both coordinates (The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral, A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions, The derivative of at a point that is a limit point of , and differentiability on a set, The standard list with and for is an ordered basis of ; hence , and is the zero space with basis and dimension ).
Differentiability implies continuity (A function differentiable at is continuous at , Vector-valued functions , their limits and continuity, with the dictionary to the metric notions, A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions).
The Euclidean norm: on , and is the unique nonnegative square root (The -norms for rational , and , The Euclidean inner product on , Square roots exist: a unique with ; the positives are , A norm on a real vector space, the induced metric, and the dictionary with the metric axioms, Laws of finite sums and finite products, Finite sums and finite products, by recursion).
Canonical naturals are positive and strictly increasing, and carry sums to sums and products to products, so , , and (Canonical naturals are positive and strictly increasing, The canonical natural of a field).
Squaring is strictly monotone on the nonnegatives, so square roots compare in the same direction (Squaring is monotone on the nonnegatives).
The mean value inequality (The mean value inequality: if is continuous and differentiable on with , then ) and the algebra of derivatives (Sums, scalar multiples, products and quotients: , , , and when ), together with the interval notation (Intervals of : the nine order-convex forms, nondegeneracy, and length).
Counterexample
Each component is differentiable at every real, with and ; hence is differentiable at every with , and is continuous on .
and , so .
Suppose [A1] holds and let be as there; comparing first coordinates gives , so .
Comparing second coordinates gives .
Substituting into step 2.2 gives , hence , contradicting the strict increase of .
So no satisfies [A1], and the refuted claim is false for .
The inequality form does hold on this curve, with room to spare: , while for one has , so bounds on and .
Remarks
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What exactly fails. The scalar mean value theorem is applied in the proof of The mean value inequality: if is continuous and differentiable on with , then to the auxiliary function for the fixed vector , and it does produce a point . That is a mean value point of that real function, and it depends on ; there is no reason for the two coordinates to be served by one and the same point, and on this curve they are not: the first coordinate demands and the second demands .
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The curve is not pathological. Both components are polynomials, so is differentiable at every real (For a natural the function is differentiable everywhere with derivative ; for it is the constant , with derivative ; for a natural the function is differentiable at every with derivative ; consequently every polynomial function is differentiable at every real, with the derivative computed term by term) and is continuous. No smoothness hypothesis would rescue the equality form.
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The bound of The mean value inequality: if is continuous and differentiable on with , then is not merely true but sharp, and the companion item A curve for which the mean value inequality is an equality, showing the constant cannot be improved exhibits a curve on which it is an equality. The two items together show that the failure of the equality form is not a failure of the bound.
Depends on
- The mean value inequality: if $f : [a,b] \to \mathbb{R}^m$ is continuous and differentiable on $(a,b)$ with $\lVert f'\rVert_2 \le M$, then $\lVert f(b)-f(a)\rVert_2 \le M(b-a)$
- The derivative and the Riemann integral of a vector-valued function: an intrinsic derivative and a componentwise integral
- Vector-valued functions $f : A \to \mathbb{R}^m$, their limits and continuity, with the dictionary to the metric notions
- A vector-valued function has a limit, or is continuous, if and only if each of its components does; with the algebra of continuous vector-valued functions
- The Euclidean inner product $\langle x,y\rangle = \sum_{k<n} x_k y_k$ on $\mathbb{R}^n$
- The $p$-norms $\lVert x\rVert_p$ for rational $p \ge 1$, and $\lVert x\rVert_\infty$
- A norm on a real vector space, the induced metric, and the dictionary with the metric axioms
- For a natural $n \ge 1$ the function $x \mapsto x^{n}$ is differentiable everywhere with derivative $\iota(n)\,x^{\,n-1}$; for $n = 0$ it is the constant $1$, with derivative $0$; for a natural $n \ge 1$ the function $x \mapsto x^{-n}$ is differentiable at every $x \ne 0$ with derivative $-\iota(n)\,x^{-n-1}$; consequently every polynomial function is differentiable at every real, with the derivative computed term by term
- Sums, scalar multiples, products and quotients: $(f+g)'(c) = f'(c) + g'(c)$, $(\alpha f)'(c) = \alpha f'(c)$, $(fg)'(c) = f'(c)g(c) + f(c)g'(c)$, and $(f/g)'(c) = \bigl(f'(c)g(c) - f(c)g'(c)\bigr)/g(c)^{2}$ when $g(c) \ne 0$
- The derivative $f'(c) = \lim_{x \to c} \frac{f(x) - f(c)}{x - c}$ of $f : A \to \mathbb{R}$ at a point $c \in A$ that is a limit point of $A$, and differentiability on a set
- The mean value theorem, as the case $g(x) = x$ of Cauchy's: for $f$ continuous on $[a,b]$ with $a < b$ and differentiable on $(a,b)$ there is $c \in (a,b)$ with $f(b) - f(a) = f'(c)(b-a)$
- A function differentiable at $c$ is continuous at $c$
- Square roots exist: a unique $\sqrt{a} \ge 0$ with $(\sqrt{a})^2 = a$; the positives are $\{x^2 : x \neq 0\}$
- The canonical natural $\iota(n) = n \cdot 1_F$ of a field
- Canonical naturals are positive and strictly increasing
- Integer powers $a^m$
- Squaring is monotone on the nonnegatives
- The standard list $e : n \to F^{n}$ with $e_i(i) = 1_F$ and $e_i(j) = 0_F$ for $j \ne i$ is an ordered basis of $F^{n}$; hence $\dim_F F^{n} = n$, and $F^{0}$ is the zero space with basis $\varnothing$ and dimension $0$
- Laws of finite sums and finite products
- Finite sums and finite products, by recursion
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
Used by
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 207 results over 34 levels. An arrow runs from a result to what uses it, and this result sits at the bottom with a heavier outline. Click the chart to enlarge it.
Sources
- Mean value theorem (Wikipedia) (standard reference, not scraped)
- Vector-valued function (Wikipedia) (standard reference, not scraped)
- J. Lebl, Basic Analysis I, Section 8.4 (standard reference, not scraped)