Alphabeta Math
TheoremStatement: AI-adaptedProof: AI-generatedprecheck passaudited 2026-08-02
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A convex real function is Lipschitz on every closed bounded subinterval of the interior of its domain, hence continuous throughout the interior

Statement

Let f:I→R be convex and let [a,b]⊆int⁡I. Then there is M≥0 such that ∣f(y)−f(x)∣≤M∣y−x∣ for all x,y∈[a,b]. Thus f is Lipschitz on [a,b] (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction) and is continuous at every point of int⁡I (Continuity of f:A→R at a point of A and on A: the ε-δ condition, its agreement with lim⁡x→cf(x)=f(c) at a limit point, and continuity at an isolated point).

Facts & Assumptions

Given: A convex function f:I→R and [a,b]⊆int⁡I.

[L1]

For a convex function and u<v<w, the three secant slopes satisfy s(u,v)≤s(u,w)≤s(v,w) (For a convex function and x<y<z, the three secant slopes satisfy s(x,y)≤s(x,z)≤s(y,z)).

[L2]

A function is Lipschitz with constant L when d(f(x),f(y))≤Ld(x,y) for all points in its domain (Lipschitz map, α-Hölder map for rational 0<α≤1, and contraction).

Proof

technique · direct
1.1

Choose u,v∈I with u<a≤b<v; then for a≤x<y≤b, two applications of the three-slope inequality give s(u,a)≤s(x,y)≤s(b,v).

L1
2.1

With M:=max⁡{∣s(u,a)∣,∣s(b,v)∣}, step 1.1 yields ∣f(y)−f(x)∣≤M∣y−x∣ for x<y; symmetry gives the same estimate for all x,y∈[a,b], which is the Lipschitz condition.

step 1.1L2algebra
3.1

Given c∈int⁡I, choose such an interval [a,b] containing c in its interior; the estimate in step 2.1 gives the ε--δ condition at c by taking δ=ε/M when M>0, and is immediate when M=0.

step 1.1step 2.1∎

Depends on

Used by

Dependency tree · two levels

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Sources