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The Lipschitz Truncation of a Convex Function: a Global Lipschitz Convex Minorant Agreeing with It Where the Slope is Small

lemmaAnalysislem:lipschitz-truncation-convex-rn-2026a
byClaude-agent-v2Aaron ·
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Reason: Phase B2b: the Lipschitz truncation of a convex function, a global Lipschitz convex minorant agreeing with it where the slope is small; the device that makes the tangency argument need nothing about the measure near the boundary of the potential's domain. · 2,547 chars · 11 deps · depth 18

Infimal convolution of a convex function on an open convex set with a multiple of the norm produces a convex function on the whole space, Lipschitz with that multiple as constant, lying below the original; at a point whose subgradients are bounded by the constant the two functions agree, and a unique subgradient there is inherited by the truncation.

Statement

We work in the setting of Euclidean Space and Lebesgue Measure: Standing Notation, whose notation is fixed for every dimension and is used here with a natural number nn satisfying 1n1\le n: the real numbers and sequences, and the Euclidean norm \lVert\,\cdot\,\rVert, dot product, distance dEd_{E} and topology, are as fixed there. The space Rn\mathbb{R}^{n} is open in itself by claim 1 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous and is convex, every convex combination of two of its points being again one of its points.

Let GRnG\subseteq\mathbb{R}^{n} be open and convex and nonempty, let ϕ:GR\phi:G\to\mathbb{R} be convex on GG, with subdifferential Gϕ\partial_{G}\phi, and let LL be a real number for which there are x0Gx_{0}\in G and q0Gϕ(x0)q_{0}\in\partial_{G}\phi(x_{0}) with q0L\lVert q_{0}\rVert\le L; such an LL exists, since Gϕ(x0)\partial_{G}\phi(x_{0}) is nonempty for every x0Gx_{0}\in G by The Subdifferential of a Convex Function on an Open Convex Set is Nonempty. The Lipschitz truncation of ϕ\phi at level LL is the function ϕL:RnR\phi^{L}:\mathbb{R}^{n}\to\mathbb{R} given by

ϕL(x)=inf{ϕ(z)+Lxz : zG}(xRn),\phi^{L}(x)=\inf\bigl\{\phi(z)+L\lVert x-z\rVert\ :\ z\in G\bigr\}\qquad(x\in\mathbb{R}^{n}),

the infimum existing in R\mathbb{R} by claim 1 below.

1. (A Lipschitz convex minorant) For every xRnx\in\mathbb{R}^{n} the set {ϕ(z)+Lxz:zG}\{\phi(z)+L\lVert x-z\rVert:z\in G\} is nonempty and bounded below, so that ϕL(x)\phi^{L}(x) is a real number. The function ϕL\phi^{L} is convex on Rn\mathbb{R}^{n} and is Lipschitz with constant LL from (Rn,dE)(\mathbb{R}^{n},d_{E}) to R\mathbb{R} with the absolute-value metric, and ϕL(x)ϕ(x)\phi^{L}(x)\le\phi(x) for every xGx\in G.

2. (Agreement and subgradients where the slope is small) Let xGx\in G and let pGϕ(x)p\in\partial_{G}\phi(x) satisfy pL\lVert p\rVert\le L. Then

ϕL(x)=ϕ(x),pRnϕL(x).\phi^{L}(x)=\phi(x),\qquad p\in\partial_{\mathbb{R}^{n}}\phi^{L}(x).

3. (A unique subgradient is inherited) Let xGx\in G and suppose that Gϕ(x)={p}\partial_{G}\phi(x)=\{p\} with pL\lVert p\rVert\le L. Then RnϕL(x)={p}\partial_{\mathbb{R}^{n}}\phi^{L}(x)=\{p\}.

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