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.
Heine-Cantor: a continuous map from a compact metric space to any metric space is uniformly continuous
Statement
Let be a compact metric space (Open cover, subcover, compact metric space, and compact subset of a metric space), let be any metric space (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric) and let be continuous (Continuity of a map between metric spaces, at a point and globally, in the - form). Then is uniformly continuous (Uniform continuity of a map of metric spaces: one serving every point).
No choice principle is used: the cover built below is cut out by a property, and the Lebesgue number lemma it is fed to is itself choice free (Every open cover of a compact metric space has a Lebesgue number: a such that every nonempty subset of diameter less than lies inside a single member of the cover).
Facts & Assumptions
Given: A compact metric space , a metric space and a continuous .
is continuous at : for every real there is a real with (Continuity of a map between metric spaces, at a point and globally, in the - form, Open ball, closed ball and sphere in a metric space).
is uniformly continuous when for every real there is a real such that implies , for all (Uniform continuity of a map of metric spaces: one serving every point).
Every open cover of a compact metric space has a Lebesgue number: a real such that every nonempty subset of diameter less than lies in a single member of the cover (Every open cover of a compact metric space has a Lebesgue number: a such that every nonempty subset of diameter less than lies inside a single member of the cover, Open cover, subcover, compact metric space, and compact subset of a metric space).
For nonempty bounded , ; in particular , the set of distances being and a metric being nonnegative (Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space, Nonnegativity of a metric is a consequence of the other axioms, not an axiom).
A metric is symmetric and satisfies the triangle inequality (Metric space: iff , symmetry, and the triangle inequality; pseudometric and ultrametric).
Proof
If the condition of uniform continuity holds vacuously, so assume , and let be real.
Put , a family cut out by a property and not by a selection.
is an open cover of : given , continuity at supplies a real with , and is open and contains , so it belongs to .
By the Lebesgue number lemma there is a real such that every nonempty subset of of diameter less than is contained in a single member of .
Let with ; the set is nonempty with diameter , so for some , and there is with .
Then and , so ; as was arbitrary, is uniformly continuous.
Remarks
The centre is not chosen, and that is why the proof is choice free. The family is defined by the existence of a suitable , and the argument instantiates that existential once, at step 5.1, for the single member that the Lebesgue number produced. No function assigning a centre to every member of is ever needed.
Compactness is not removable. The map is continuous on the interval and is not uniformly continuous there ( is continuous on and not uniformly continuous, so Heine-Cantor needs compactness of the domain ↗); is not compact.
The codomain is arbitrary. Nothing is assumed about — not completeness, not boundedness, not compactness. All the work is done on the domain side, which is where the finite subcover lives.
Depends on
- Open cover, subcover, compact metric space, and compact subset of a metric space
- Every open cover of a compact metric space has a Lebesgue number: a $\delta > 0$ such that every nonempty subset of diameter less than $\delta$ lies inside a single member of the cover
- Continuity of a map between metric spaces, at a point and globally, in the $\varepsilon$-$\delta$ form
- Uniform continuity of a map of metric spaces: one $\delta$ serving every point
- Open ball, closed ball and sphere in a metric space
- Bounded subset, diameter, distance from a point to a set, and distance between two sets in a metric space
- The metric topology: a set is open when every one of its points has a ball around it inside the set; closed means open complement
- Arbitrary unions and finite intersections of open sets are open, open balls are open and closed balls are closed
- Nonnegativity of a metric is a consequence of the other axioms, not an axiom
- Metric space: $d(x,y) = 0$ iff $x = y$, symmetry, and the triangle inequality; pseudometric and ultrametric
Used by
- A continuous function on a closed rectangle has repeated Riemann integrals in every coordinate order, all equal to its multiple integral Corollary
- x ↦ 1/x is continuous on (0,1) and not uniformly continuous, so Heine-Cantor needs compactness of the domain Counterexample
- Polygonal functions with sufficiently steep nonvertex slopes are dense in C([0,1]) Lemma
- Arzelà--Ascoli for real C(K) under Countable Choice and Dependent Choice: compact closure iff equicontinuous and pointwise bounded Theorem
- Bernstein polynomials converge uniformly to every continuous function on [0,1] Theorem
- Every continuous function on a closed nondegenerate rectangle in ℝᵐ is Riemann integrable Theorem
- The graph of a continuous function on a closed nondegenerate rectangle in ℝᵐ has content zero in ℝᵐ⁺¹ Theorem
Dependency tree · next 3 levels
Direct dependencies and their dependencies through the next three levels: 79 results over 16 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
- Heine-Cantor theorem (Wikipedia) (standard reference, not scraped)
- Lebesgue's number lemma (Wikipedia) (standard reference, not scraped)