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Uniform continuity of : one serving every pair of points of
Definition
Let and let . Then is uniformly continuous on when
with and ranging over the positive reals.
The whole content is in the order of the quantifiers. Written out, continuity on (Continuity of at a point of and on : the - condition, its agreement with at a limit point, and continuity at an isolated point) is
and uniform continuity is
Moving to the left of the point quantifier is the entire difference: for continuity the radius may shrink from point to point, for uniform continuity one radius must serve the whole of at once. This is the same distinction, for the same reason, that Uniform continuity of a map of metric spaces: one serving every point draws for maps of metric spaces.
Uniform continuity implies continuity. Given , take the supplied by uniform continuity and, at a point , apply the condition with : every with satisfies . So the same witnesses continuity at every point of simultaneously. The converse fails, and the failure is not marginal: FALSE: every continuous real function is uniformly continuous on its domain refutes it on this page, and the companion page works two witnesses out in full.
Uniform continuity is a property of the pair , not of alone. The same formula may be uniformly continuous on one set and not on another: is uniformly continuous on and not on , and is uniformly continuous on every bounded interval and not on . Restricting the domain therefore never destroys uniform continuity, since the condition then quantifies over fewer pairs; enlarging it may.
The two points are unordered and may coincide. Nothing above excludes , at which the implication reads (Basic properties of the absolute value) and is automatic, and the condition is symmetric in the two points because .
Remarks
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A single , and a picture. For a uniformly continuous one may slide a rectangle of width and height along the graph and never have the graph leave it through the top or bottom. For a merely continuous the rectangle must be narrowed as one moves, and on over it must be narrowed without limit.
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Neighbourhood form. The condition says for every , with one (The -neighbourhood and the punctured -neighbourhood of a point of ). That is continuity on with the radius independent of the centre.
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On an interval this is the notion the extension theorem needs. A uniformly continuous function on a set extends to one on the closure of (A uniformly continuous real function on a subset extends uniquely to a uniformly continuous function on the closure of ); mere continuity does not suffice, since on has no continuous extension to (Intervals of : the nine order-convex forms, nondegeneracy, and length).
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The two standard witnesses, for orientation. The converse fails in two independent ways, each worked out on the companion page: is continuous on and not uniformly continuous there, the pairs and defeating every ↗ on a bounded domain that is not closed, and is continuous on and not uniformly continuous, the pairs and defeating every ↗ on a closed domain that is not bounded. Both are named here for orientation only; nothing in this definition rests on them.
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Lipschitz and Hölder conditions are stronger still, and are not redefined here. They are Lipschitz map, -Hölder map for rational , and contraction instantiated at with ; the dictionary that makes that instantiation legitimate, and that transports the implications of 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 to real functions, is 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, immediately below.
Depends on
- Continuity of $f : A \to \mathbb{R}$ at a point of $A$ and on $A$: the $\varepsilon$-$\delta$ condition, its agreement with $\lim_{x \to c} f(x) = f(c)$ at a limit point, and continuity at an isolated point
- Intervals of $\mathbb{R}$: the nine order-convex forms, nondegeneracy, and length
- The $\varepsilon$-neighbourhood and the punctured $\varepsilon$-neighbourhood of a point of $\mathbb{R}$
- Basic properties of the absolute value
Used by
- A uniformly continuous real function on a subset D ⊆ ℝ extends uniquely to a uniformly continuous function on the closure of D 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
- The exponential is not uniformly continuous on ℝ Counterexample
- The identity is uniformly continuous on ℝ and its square is not, so uniform continuity is not preserved by products Counterexample
- The logarithm is not uniformly continuous on the positive half-line 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
- On [0,1] the function x^β is β-Hölder and is α-Hölder for no rational α > β, so the Hölder classes are strictly nested Example
- The distance ψ(x) = d(x, ℤ) from a real number to the integers is 1-Lipschitz, hence uniformly continuous, takes values in [0,1/2], and vanishes exactly on ℤ Example
- The mean value theorem gives |√x - √y| ≤ 1/ι(2) |x - y| for x, y ≥ 1, so the square root is Lipschitz with constant 1/2 on [1,∞) Example
- FALSE: every continuous real function is uniformly continuous on its domain False statement
- Dictionary: for A ⊆ ℝ with the metric d(x,y) = |x-y|, continuity and uniform continuity of f : A → ℝ agree with the metric-space notions, the Lipschitz and Hölder conditions are the metric ones instantiated, and a subset of ℝ is compact in the open-cover sense of ℝ exactly when it is a compact metric subspace Lemma
- A bounded function on [a,b] that is continuous except at finitely many points is Riemann integrable Theorem
- A continuous function on [a,b] is Riemann integrable, by Heine-Cantor and Riemann's criterion Theorem
- Heine-Cantor in ℝ: a continuous real function on a compact subset of ℝ is uniformly continuous, proved ℝ-natively from sequential compactness Theorem
- If f is integrable on [a,b] with values in [m,M] and φ is continuous on [m,M], then φ ∘ f is integrable Theorem
- Rudin 4.20, the sharp converse: on a noncompact E ⊆ ℝ there is an unbounded continuous function and a bounded continuous function with no greatest value, and if E is bounded there is a continuous function on E that is not uniformly continuous Theorem
- The integral function of a bounded integrable f is Lipschitz, hence uniformly continuous Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 24 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
- Uniform continuity (Wikipedia) (standard reference, not scraped)
- W. Rudin, Principles of Mathematical Analysis, 3rd ed., Ch. 4 (Def. 4.18) (standard reference, not scraped)
- J. Lebl, Basic Analysis I, §3.4 (standard reference, not scraped)
- J. Lebl, Basic Analysis I, §3.3: Uniform continuity (standard reference, not scraped)