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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point
Definition
Throughout, is the complete ordered field with its order and absolute value (Complete ordered field (least-upper-bound property), Basic properties of the absolute value), and neighbourhoods are those of The -neighbourhood and the punctured -neighbourhood of a point of .
Let , let and let . Then is continuous at when
with and ranging over the positive reals. In the language of neighbourhoods: for every real there is a real with
is continuous on when it is continuous at every point of .
The point is required to lie in , and the condition is unpunctured. Both differ from The - limit of at a limit point of , and deliberately. There the quantifier runs over , which removes ; here is allowed, and at the implication reads , which is automatic. So allowing costs nothing, and it is what lets the definition be stated at every point of , including the points where no limit exists.
Three clauses, and all three are part of the definition.
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At a limit point. Suppose is a limit point of (Limit point, isolated point, adherent point, derived set, and dense subset of ). Then is continuous at if and only if the limit of at exists and (The - limit of at a limit point of ). Indeed, for a given a witnessing continuity witnesses the limit condition, because the limit condition quantifies over a subset of the points continuity quantifies over; and conversely a witnessing witnesses continuity, because the one point it omits, , satisfies anyway.
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At an isolated point. Suppose is an isolated point of (Limit point, isolated point, adherent point, derived set, and dense subset of ), so that for some real . Then every is continuous at : take , so that the only with is itself, and .
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On a set. Continuity on is continuity at each point of , and nothing more. It is not a condition relating to points outside .
Every point of is either a limit point of or an isolated point of , and never both (Limit point, isolated point, adherent point, derived set, and dense subset of ), so clauses 1 and 2 between them describe continuity at every point of .
This is not the raw - formula of FALSE: a function has at most one limit at every point of its domain, isolated points included. That item records what goes wrong when the punctured formula of The - limit of at a limit point of is written down at an arbitrary point of the domain: at an isolated point it is satisfied vacuously by every real at once, so it defines nothing, and this library therefore leaves undefined at an isolated point. Continuity at an isolated point is a different matter: the formula above is not vacuous — it is a genuine condition on , satisfied because is the only value being compared with itself — and it names a single, well-defined property. The limit is undefined there; the continuity is defined, and is automatic. Clause 1 is the only place where the two notions meet, and it is stated only where the limit exists as a notion.
Where the distinction disappears. If is an open subset of (Open subset of (every point has a neighbourhood inside it), closed subset (complement open), and clopen), then every has some , and a punctured neighbourhood is never empty (The -neighbourhood and the punctured -neighbourhood of a point of ), so every point of is a limit point of and clause 1 covers the whole of . The same holds when is a nondegenerate interval (Intervals of : the nine order-convex forms, nondegeneracy, and length). Isolated points are what force clause 2 to exist at all, and they occur as soon as is allowed to be an arbitrary subset of , as in .
Remarks
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Continuity is local. If and agrees with on , then is continuous at if and only if is: any may be replaced by , after which the condition only ever evaluates the two functions where they agree. So continuity at sees only an arbitrarily small neighbourhood of , exactly as the limit does (The limit at depends only on the restriction of to a punctured neighbourhood of , and passes to any subset of the domain having as a limit point).
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Continuity passes to subsets of the domain. If and , then continuity of at gives continuity of the restriction at , with the same : the condition on quantifies over fewer points. The converse fails, and the standard witness is the indicator of restricted to , which is constant and hence continuous, while the indicator itself is continuous nowhere (The indicator of is continuous at no point of ↗).
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The radius is a real number. As in The -neighbourhood and the punctured -neighbourhood of a point of , and range over the positive reals here. Restricting either quantifier to the positive rationals defines the same relation, by the passage recorded in The - limit of at a limit point of : below every positive real lies a positive rational (The rationals embed densely in the reals), and a real may be shrunk to a rational one below it.
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The word continuous is used for two things in this library, and they agree. Continuity of a map between metric spaces, at a point and globally, in the - form defines continuity of a map between metric spaces, and carries the metric . The two notions coincide, and that is proved, not assumed: Dictionary: for with the metric , continuity and uniform continuity of agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of is compact in the open-cover sense of exactly when it is a compact metric subspace is the dictionary, and it is stated on this page precisely so that no later item has to guess.
Depends on
- The $\varepsilon$-$\delta$ limit $\lim_{x \to c} f(x) = L$ of $f : A \to \mathbb{R}$ at a limit point $c$ of $A$
- Limit point, isolated point, adherent point, derived set, and dense subset of $\mathbb{R}$
- The $\varepsilon$-neighbourhood and the punctured $\varepsilon$-neighbourhood of a point of $\mathbb{R}$
- Open subset of $\mathbb{R}$ (every point has a neighbourhood inside it), closed subset (complement open), and clopen
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- Basic properties of the absolute value
- Complete ordered field (least-upper-bound property)
Used by
- A bounded function on [a,b] whose set of discontinuities is at most countable is Riemann integrable Corollary
- A bounded-variation integrand is Riemann–Stieltjes integrable against every continuous integrator Corollary
- A continuous real function on a compact subset of ℝ is bounded Corollary
- A function continuous on an interval I whose derivative vanishes at every interior point of I is constant on I; consequently two such functions with the same derivative differ by a constant Corollary
- A function differentiable at c is continuous at c Corollary
- A uniformly continuous real function on a subset D ⊆ ℝ extends uniquely to a uniformly continuous function on the closure of D Corollary
- Every continuous function on an interval has a primitive; two primitives differ by a constant; and ∫ₐᵇ f = G(b)-G(a) for any primitive G Corollary
- If f is continuous on an interval I and |f'| ≤ M at every interior point, then |f(x) - f(y)| ≤ M|x-y| for all x,y ∈ I, so f is Lipschitz with constant M and uniformly continuous on I Corollary
- If f,g are integrable on [a,b] then so are | f|, f², fg, max(f,g) and min(f,g), and |∫ₐᵇ f| ≤ ∫ₐᵇ| f| Corollary
- No function ℝ → ℝ is continuous at every rational and discontinuous at every irrational, because ℚ is not G_δ Corollary
- The Cantor function is continuous on [0,1] Corollary
- The image of an interval under a continuous real function is order-convex, hence an interval, and the image of a closed bounded interval is a closed bounded interval Corollary
- 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 ∈ (a,b) with f(b) - f(a) = f'(c)(b-a) Corollary
- Under dependent choice, a continuous real-valued map on a closed subspace of a normal space extends to the whole space, and a map into an open interval extends into that same open interval Corollary
- A continuous function on [0,1] can have unbounded variation Counterexample
- A continuous injection on [0,1] ∪ [2,3] that is not monotone, so the interval hypothesis cannot be dropped from the strict-monotonicity theorem Counterexample
- An upper semicontinuous function on [0,1] that is bounded below and attains no minimum, so the semicontinuous extreme value theorem is genuinely one-sided Counterexample
- Continuous f and integrable sign-changing g with ∫ₐᵇ fg ≠ f(ξ)∫ₐᵇ g for every ξ Counterexample
- Continuous fₙ → 0 pointwise on [0,1] with ∫₀¹ fₙ = 1 for every n Counterexample
- Continuous triangular spikes on [0,1] converge pointwise to zero but not uniformly when monotonicity is absent Counterexample
- Dini's theorem fails for a discontinuous limit: powers on [0,1] decrease pointwise to a discontinuous endpoint indicator but not uniformly Counterexample
- Dini's theorem fails for discontinuous approximants: shrinking interval indicators decrease pointwise to zero but not uniformly Counterexample
- Dini's theorem fails on [0,∞): x/(ι(k+1)+x) decreases pointwise to zero but not uniformly Counterexample
- f(x) = x on [0,1) with f(1) = 0 is differentiable at every point of (0,1) with f' ≡ 1, yet no c satisfies f(1) - f(0) = f'(c), so continuity on the closed interval cannot be dropped from the mean value theorem Counterexample
- g(x,y) = xy/(x²+y²), extended by g(0,0)=0, is continuous in each variable separately and not continuous at the origin Counterexample
- Integrable φ and integrable f with φ∘ f not integrable: the order of the hypotheses in the composition theorem cannot be reversed Counterexample
- Refuted: a function into a Hausdorff space whose graph is closed is continuous. The function equal to 1/x off 0 and to 0 at 0 has a closed graph, is discontinuous at 0 alone, and has a Hausdorff codomain Counterexample
- The identity is uniformly continuous on ℝ and its square is not, so uniform continuity is not preserved by products Counterexample
- The identity on (0,1) is bounded with no greatest value, and on [0,∞) it is continuous and unbounded Counterexample
- The indicator of ℚ is continuous at no point of ℝ Counterexample
- The indicator of the Smith-Volterra-Cantor set is discontinuous exactly on a nowhere dense set, and is not Riemann integrable, because that set does not have measure zero Counterexample
- The reciprocal on (0,1] is continuous and extends to no continuous function on ℝ, so closedness of the subspace is not decoration in the ℝ-valued Tietze extension Counterexample
- The sign function is Riemann integrable on [-1,1] and has no primitive there Counterexample
- With f(x) = x³ and g(x) = x² on [-1,1] the quotient form f(b)-f(a)/g(b)-g(a) = f'(c)/g'(c) is meaningless because g(b) = g(a), while the product form of Cauchy's theorem still holds Counterexample
- x ↦ |x| is continuous everywhere and not differentiable at 0: the difference quotient equals 1 on the right and -1 on the left, so the two one-sided limits differ Counterexample
- x ↦ 1/x is continuous on (0,1) and not uniformly continuous there, the pairs 1/(k+2) and 1/(k+3) defeating every δ Counterexample
- x ↦ x² is continuous on ℝ and not uniformly continuous, the pairs k+1 and k+1+1/(k+1) defeating every δ Counterexample
- Absolute continuity on a compact interval Definition
- An inflection point as a point of continuity where convexity changes to concavity or conversely Definition
- Discontinuity of f at a point of its domain, and its classification: removable discontinuity, jump discontinuity and essential discontinuity, equivalently Rudin's discontinuities of the first and of the second kind Definition
…and 117 more results.
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 31 results over 12 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
- Continuous function (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (standard reference, not scraped)
- J. Lebl, Basic Analysis I, §3.2 (standard reference, not scraped)
- E. Zakon, Mathematical Analysis, §4.1: Basic Definitions (standard reference, not scraped)