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TheoremStatement: AI-adaptedProof: AI-generatedSession-authored (Fable 5 assisted)precheck passjudge pass (z-ai/glm-5.2)audited 2026-07-27
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A uniformly continuous map sends Cauchy sequences to Cauchy sequences

Statement

Let (X,dX)(X,d_X) and (Y,dY)(Y,d_Y) be metric spaces (Metric space: d(x,y)=0d(x,y) = 0 iff x=yx = y, symmetry, and the triangle inequality; pseudometric and ultrametric), let f:XYf : X \to Y be uniformly continuous (Uniform continuity of a map of metric spaces: one δ\delta serving every point) and let (xk)(x_k) be a Cauchy sequence in XX (Cauchy sequence in a metric space). Then (f(xk))\big(f(x_k)\big) is a Cauchy sequence in YY.

Continuity alone does not suffice, and the failure is not marginal: a continuous map can send a Cauchy sequence to an unbounded one. The witness is named in the remarks below.

Facts & Assumptions

Given: Metric spaces (X,dX)(X,d_X) and (Y,dY)(Y,d_Y), a uniformly continuous f:XYf : X \to Y, a Cauchy sequence (xk)(x_k) in XX, and a real ε>0\varepsilon > 0.

[A1]

Uniform continuity: for every real ε>0\varepsilon > 0 there is a real δ>0\delta > 0 with dY(f(x),f(x))<εd_Y(f(x),f(x')) < \varepsilon whenever dX(x,x)<δd_X(x,x') < \delta, for all x,xXx,x' \in X (Uniform continuity of a map of metric spaces: one δ\delta serving every point).

[A2]

Cauchyness of (xk)(x_k): for every real δ>0\delta > 0 there is KK with dX(xm,xn)<δd_X(x_m,x_n) < \delta for all m,nKm,n \ge K (Cauchy sequence in a metric space, The rationals embed densely in the reals).

[L1]

Cauchyness in YY is established by producing, for every real ε>0\varepsilon > 0, an index KK with dY(f(xm),f(xn))<εd_Y(f(x_m),f(x_n)) < \varepsilon for all m,nKm,n \ge K (Cauchy sequence in a metric space, The rationals embed densely in the reals).

Proof

technique · direct
1.1

Apply [A1] to ε\varepsilon to obtain a real δ>0\delta > 0 such that dY(f(x),f(x))<εd_Y(f(x),f(x')) < \varepsilon for every pair x,xXx, x' \in X with dX(x,x)<δd_X(x,x') < \delta.

A1choose
1.2

Apply [A2] to that δ\delta to obtain KNK \in \mathbb{N} with dX(xm,xn)<δd_X(x_m,x_n) < \delta for all m,nKm,n \ge K.

A2
2.1

For all m,nKm,n \ge K the pair (xm,xn)(x_m, x_n) satisfies the hypothesis of step 1.1, so dY(f(xm),f(xn))<εd_Y\big(f(x_m), f(x_n)\big) < \varepsilon.

step 1.1step 1.2
3.1

Since ε>0\varepsilon > 0 was an arbitrary real, (f(xk))\big(f(x_k)\big) is Cauchy in (Y,dY)(Y,d_Y).

step 2.1L1

Remarks

Depends on

Used by

Dependency tree · next 3 levels

Direct dependencies and their dependencies through the next three levels: 57 results over 24 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