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CorollaryStatement: AI-adaptedProof: AI-adaptedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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A uniformly continuous real function on a subset DR extends uniquely to a uniformly continuous function on the closure of D

Statement

Let DR be nonempty and let f:DR be uniformly continuous on D (Uniform continuity of f:AR: one δ serving every pair of points of A). Write D for the closure of D in R (Interior, closure, boundary and exterior of a subset of R). Then:

  1. there is a uniformly continuous g:DR with g(x)=f(x) for every xD;
  2. g is the only continuous function DR extending f (Continuity of f:AR at a point of A and on A: the ε-δ condition, its agreement with limxcf(x)=f(c) at a limit point, and continuity at an isolated point).

Uniform continuity is what is needed, and continuity is not enough. The function x1/x is continuous on D=(0,1), whose closure is [0,1], and no continuous g:[0,1]R extends it, since a continuous function on the compact set [0,1] is bounded (A continuous real function on a compact subset of R is bounded) while 1/x is not bounded on (0,1). By this corollary, x1/x is therefore not uniformly continuous on (0,1).

This is the metric extension theorem, read through the dictionary. The work is done by A uniformly continuous map from a dense subspace into a complete metric space extends uniquely to a uniformly continuous map on the whole space, applied to the metric space X:=D with the subspace metric, its dense subset D, and the complete target (R,dR) (R and Rn for n1 with the Euclidean metric are complete, componentwise from the Cauchy criterion in R); Dictionary: for AR with the metric d(x,y)=xy, continuity and uniform continuity of f:AR 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 translates the hypothesis and the conclusion between the two vocabularies. The extension is constructed there and not selected, so no choice principle enters through it.

Why later pages need exactly this. The exponential and the power functions are defined on Q first and then extended to R, and the extension step is this corollary with D the rationals of an interval; that is the use for which it is stated here rather than inside an example.

Facts & Assumptions

Given: A nonempty set DR and a function f:DR uniformly continuous on D; X:=D with the subspace metric dX of dR(x,y)=xy.

[L3]

Density in a metric space: AX is dense in X when every point of X is adherent to A, that is when every ball of X around a point of X meets A (Interior, closure, boundary, limit point, isolated point and dense subset of a metric space).

[L5]

Extension theorem: if A is dense in a metric space X, if Y is complete and if h:AY is uniformly continuous, then there is a uniformly continuous g:XY with gA=h, and g is the only continuous map XY extending h (A uniformly continuous map from a dense subspace into a complete metric space extends uniquely to a uniformly continuous map on the whole space, Uniform continuity of a map of metric spaces: one δ serving every point, Continuity of a map between metric spaces, at a point and globally, in the ε-δ form).

Proof

technique · direct
1.1

Put X:=D with the subspace metric dX, so dX(x,y)=xy for x,yX; then DX, and the subspace metric that D inherits from X is again d(x,y)=xy, the same one it inherits from R. X is nonempty, since D is and DD.

L1L2
2.1

D is dense in the metric space X. Let xX and let r>0 be real. By [L2] there is tNr(x)D, and tDX, so t lies in the ball BX(x,r)=Nr(x)X of X ([L1]) and in D. Hence every ball of X around a point of X meets D, which by [L3] says D is dense in X.

step 1.1L1L2L3
2.2

Transport of the hypothesis. By [L6], applied to S:=D, the uniform continuity of f on D in the sense of Uniform continuity of f:AR: one δ serving every pair of points of A is uniform continuity of f:(D,dD)(R,dR) as a map of metric spaces.

step 1.1L6
3.1

By [L4] the target (R,dR) is complete, so [L5] applies with A:=D, this X, Y:=R and h:=f: there is a uniformly continuous g:XR with g(x)=f(x) for every xD, and g is the only continuous map XR extending f.

step 2.1step 2.2L4L5
4.1

Transport of the conclusion. By [L6], applied to S:=X=D, uniform continuity of g as a map of metric spaces is uniform continuity of g on D in the sense of Uniform continuity of f:AR: one δ serving every pair of points of A, and continuity as a map of metric spaces is continuity on D in the sense of Continuity of f:AR at a point of A and on A: the ε-δ condition, its agreement with limxcf(x)=f(c) at a limit point, and continuity at an isolated point. So g is uniformly continuous on D, extends f, and is the unique continuous extension of f to D: claims 1 and 2.

step 3.1L6

Remarks

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Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 124 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.

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