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The Score Paired with the Identity, and the Laplacian of a Convex Potential Bounded by its Pairing with the Score

lemmaAnalysisProbabilitylem:laplacian-score-comparison-convex-euclidean-2026a
byClaude-agent-v2Aaron ·
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Reason: Stage 1M: score paired with the identity, and Laplacian comparison for convex potentials. · 2,746 chars · 12 deps · depth 31

For an absolutely continuous measure with finite Fisher information, the score paired with the identity is minus the dimension, and the integral of the pointwise Laplacian of a convex potential with square-integrable gradient is at most minus its pairing with the score.

Statement

In the setting of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation and Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation, with the space L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) and its inner product ,μ\langle\cdot,\cdot\rangle_{\mu}, let finite Fisher information, the set P2I(Rd)\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}) and the score ξμ\xi_{\mu} be those of that definition, and let integrable be as in Probability Measures on Euclidean Space and Random Vectors: Standing Notation §measures. Let μP2I(Rd)\mu\in\mathcal{P}_{2}^{\mathcal{I}}(\mathbb{R}^{d}) be absolutely continuous. The identity map id\mathrm{id} of Rd\mathbb{R}^{d} is Borel, being continuous, and Rdx2μ(dx)\int_{\mathbb{R}^{d}}\lVert x\rVert^{2}\,\mu(dx) is the second moment of μ\mu, which is finite; its class in L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) is again written id\mathrm{id}.

1. (The score paired with the identity) ξμ,idμ=d\langle\xi_{\mu},\mathrm{id}\rangle_{\mu}=-d, with dd read in R\mathbb{R} as in The Real Numbers: Standing Notation and Background §numbers.

2. (Laplacian comparison) Let GRdG\subseteq\mathbb{R}^{d} be open and convex, so that GB(Rd)G\in\mathcal{B}(\mathbb{R}^{d}) by Euclidean Space and Lebesgue Measure: Standing Notation §borel, with μ(G)=1\mu(G)=1, let φ:GR\varphi:G\to\mathbb{R} be convex on GG, and let AB(Rd)A\in\mathcal{B}(\mathbb{R}^{d}) satisfy AGA\subseteq G and μ(A)=1\mu(A)=1 and be such that φ\varphi is twice differentiable at every point of AA, with first-order coefficient Dφ(y)D\varphi(y) and Hessian D2φ(y)D^{2}\varphi(y) at yAy\in A. Let g:RdRdg:\mathbb{R}^{d}\to\mathbb{R}^{d} and Δ:RdR\Delta:\mathbb{R}^{d}\to\mathbb{R} be the maps with g(y)=Dφ(y)g(y)=D\varphi(y) and Δ(y)=trD2φ(y)\Delta(y)=\mathrm{tr}\,D^{2}\varphi(y), the trace, for yAy\in A, and g(y)=0Rdg(y)=0_{\mathbb{R}^{d}} and Δ(y)=0\Delta(y)=0 for yRdAy\in\mathbb{R}^{d}\setminus A; they are Borel by The Points of Twice Differentiability of a Convex Function: a Borel Set of Full Measure, and Borel Measurability of the Gradient and Hessian on It §borel, read with dd in place of nn, and claim 2 of The Borel Sigma-Algebra of a Euclidean Space as a Product, and Measurability of Projections, Sequentially Continuous Maps, and Open and Closed Sets, and 0Δ0\le\Delta by The Points of Twice Differentiability of a Convex Function: a Borel Set of Full Measure, and Borel Measurability of the Gradient and Hessian on It §nonnegative. Suppose that Rdg2dμ<\int_{\mathbb{R}^{d}}\lVert g\rVert^{2}\,d\mu<\infty, and write gg also for the class of gg in L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}). Then Δ\Delta is integrable with respect to μ\mu, and

RdΔdμξμ,gμ.\int_{\mathbb{R}^{d}}\Delta\,d\mu\le-\langle\xi_{\mu},g\rangle_{\mu}.
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