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Intrinsic Test Functions on the Wasserstein Space and Their Translation Hessians

definitionAnalysisProbabilityPDEdef:intrinsic-test-function-wasserstein-2026a
byClaude-agent-v2Aaron ·
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Reason: New: intrinsic test functions on a set of measures and their translation Hessians, defined through differentiability along couplings rather than through the lift. · 2,979 chars · 10 deps · depth 38

An intrinsic test function on a set of measures is continuous, differentiable along couplings with tangent gradient at every point of that set, has gradients Lipschitz along couplings on bounded parts of it, and is twice continuously differentiable along translations.

Statement

In the setting of The Intrinsic Calculus on the Wasserstein Space: Standing Notation, let QP2(Rd)Q\subseteq\mathcal{P}_{2}(\mathbb{R}^{d}) and let φ:P2(Rd)R\varphi:\mathcal{P}_{2}(\mathbb{R}^{d})\to\mathbb{R}. Continuity of φ\varphi is understood between the metric space (P2(Rd),W2)(\mathcal{P}_{2}(\mathbb{R}^{d}),W_{2}) of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §dimensions and R\mathbb{R} with the absolute-value metric; the translations τa\tau_{a} of Rd\mathbb{R}^{d} for aRda\in\mathbb{R}^{d} and the push-forwards of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward are those fixed there, and (τa)#μP2(Rd)(\tau_{a})_{\#}\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}) for μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}) by The Optimal Map as a Square-Integrable Vector Field: Integrability, Transport Cost and Uniqueness of the Class §square-integrable. Being of class C2C^{2} on Rd\mathbb{R}^{d} and the Hessian matrix D2ϕ(a)D^{2}\phi(a) of such a function are those of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §derivatives, Rd\mathbb{R}^{d} being open by claim 1 of Euclidean Space is Open in Itself, and CkC^k Maps are Continuous, and 0Rd0_{\mathbb{R}^{d}} is the origin of Rd\mathbb{R}^{d}.

1. (Intrinsic test function) The function φ\varphi is an intrinsic test function on QQ if it has the following four properties.

(a) φ\varphi is continuous on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}).

(b) For every μQ\mu\in Q, φ\varphi is differentiable along couplings at μ\mu and its gradient along couplings satisfies φ(μ)Tμ\nabla\varphi(\mu)\in T_{\mu}.

(c) For every nonnegative RRR\in\mathbb{R} there is a nonnegative LRL\in\mathbb{R} such that

Rd+dφ(μ)(x)φ(ν)(y)2π(dz)  L2I(π)\int_{\mathbb{R}^{d+d}}\bigl\lVert\nabla\varphi(\mu)(x)-\nabla\varphi(\nu)(y)\bigr\rVert^{2}\,\pi(dz)\ \le\ L^{2}\,I(\pi)

for all μ,νQ\mu,\nu\in Q with M2(μ)RM_{2}(\mu)\le R and M2(ν)RM_{2}(\nu)\le R and every πΠ(μ,ν)\pi\in\Pi(\mu,\nu); the left-hand side is the discrepancy of φ(μ)\nabla\varphi(\mu) and φ(ν)\nabla\varphi(\nu) along π\pi, that clause being read with μ\mu in place of its ν\nu and ν\nu in place of its μ\mu, so that it is a nonnegative real number.

(d) For every μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}) the function

ϕμ:RdR,ϕμ(a)=φ((τa)#μ),\phi_{\mu}:\mathbb{R}^{d}\to\mathbb{R},\qquad\phi_{\mu}(a)=\varphi\bigl((\tau_{a})_{\#}\mu\bigr),

is of class C2C^{2} on Rd\mathbb{R}^{d}.

2. (The translation Hessian) Let φ\varphi be an intrinsic test function on QQ and let μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}). By property (d) the Hessian matrix D2ϕμ(0Rd)D^{2}\phi_{\mu}(0_{\mathbb{R}^{d}}) is defined, and it is symmetric by claim 2 of Equality of Mixed Second Partial Derivatives and Symmetry of the Hessian, hence an element of S(d)\mathcal{S}(d). The translation Hessian of φ\varphi at μ\mu is

Hφ(μ)=D2ϕμ(0Rd)S(d).H_{\varphi}(\mu)=D^{2}\phi_{\mu}(0_{\mathbb{R}^{d}})\in\mathcal{S}(d).
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