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The Mean of a Square-Integrable Probability Measure, Its Lift, Its Centring, and Functions of the Mean and Centred Integrals as Test Functions

lemmaAnalysisProbabilitylem:mean-centring-wasserstein-2026a
byClaude-agent-v2Aaron ·
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Reason: First publication: the mean of a square-integrable probability measure, its lift, its centring, and functions of the mean and centred integrals as test functions (Goal 3F, batch F0). · 4,877 chars · 9 deps · depth 33

The mean of a square-integrable measure is the expectation of any lift, is 1-Lipschitz for the Wasserstein distance and shifts under translations; the centred measure has mean zero, is translation invariant and 2-Lipschitz in W2W_2; a C2C^2 function of the mean is a test function with constant gradient and Hessian the Euclidean Hessian; and the integral of a bounded C2C^2 function against the centred measure is a translation-invariant test function with an explicit centred gradient and zero translation Hessian.

Statement

In the setting of Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation, the Wasserstein space (P2(Rd),W2)(\mathcal{P}_{2}(\mathbb{R}^{d}),W_{2}), the space L2(Ω;Rd)L^{2}(\Omega;\mathbb{R}^{d}) with the law L(X)\mathcal{L}(X) of a class, and the constant classes cac_{a} and translations τa\tau_{a} are as fixed there; push-forwards are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §pushforward; M2M_{2} is the second moment; points of Rd\mathbb{R}^{d} are read as dd-tuples by Euclidean Points as Tuples of Real Numbers, the iith coordinate of xx being xix_{i}, and the coordinates XiX_{i} of a random vector XX are those of Random Vector and Its Law §coordinates; for a Borel map ξ:RdRd\xi:\mathbb{R}^{d}\to\mathbb{R}^{d} with ξ2dμ<\int\lVert\xi\rVert^{2}\,d\mu<\infty its class in L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) is again written ξ\xi, as in Square-Integrable Vector Fields Against a Probability Measure on Euclidean Space, and Test Functions: Standing Notation §l2mu. Test functions on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}), their intrinsic gradients φ(μ)\nabla\varphi(\mu) and translation Hessians Hφ(μ)H_{\varphi}(\mu) are those of that definition, which requires (Ω,F,P)(\Omega,\mathcal{F},P) to be rich; the gradient Dϕ(x)D\phi(x) and Hessian matrix D2ϕ(x)D^{2}\phi(x) of a function ϕ\phi of class C2C^{2} on Rd\mathbb{R}^{d} 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 0d0_{d} denotes the d×dd\times d matrix all of whose entries are 00, an element of the set S(d)\mathcal{S}(d) of Differential Calculus and Convexity on Euclidean Open Sets: Standing Notation §background. Then the following hold.

1. (The mean) Let μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}). For every i[d]i\in[d] the coordinate map xxix\mapsto x_{i} is Borel and integrable with respect to μ\mu; the mean of μ\mu is the point m(μ)Rdm(\mu)\in\mathbb{R}^{d} whose iith coordinate is Rdxiμ(dx)\int_{\mathbb{R}^{d}}x_{i}\,\mu(dx). For every XL2(Ω;Rd)X\in L^{2}(\Omega;\mathbb{R}^{d}) with L(X)=μ\mathcal{L}(X)=\mu and every representative of XX, each coordinate XiX_{i} is integrable with respect to PP and m(μ)i=E[Xi]m(\mu)_{i}=\mathbb{E}[X_{i}]. Moreover m(μ)2M2(μ)\lVert m(\mu)\rVert^{2}\le M_{2}(\mu); m((τa)#μ)=m(μ)+am((\tau_{a})_{\#}\mu)=m(\mu)+a for every aRda\in\mathbb{R}^{d}; and m(μ)m(ν)W2(μ,ν)\lVert m(\mu)-m(\nu)\rVert\le W_{2}(\mu,\nu) for every νP2(Rd)\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}).

2. (Centring) Let μP2(Rd)\mu\in\mathcal{P}_{2}(\mathbb{R}^{d}). The centred measure μˉ=(τm(μ))#μ\bar{\mu}=(\tau_{-m(\mu)})_{\#}\mu belongs to P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) and satisfies m(μˉ)=0Rdm(\bar{\mu})=0_{\mathbb{R}^{d}}, M2(μˉ)=M2(μ)m(μ)2M_{2}(\bar{\mu})=M_{2}(\mu)-\lVert m(\mu)\rVert^{2}, μ=(τm(μ))#μˉ\mu=(\tau_{m(\mu)})_{\#}\bar{\mu}, and (τa)#μ=μˉ\overline{(\tau_{a})_{\#}\mu}=\bar{\mu} for every aRda\in\mathbb{R}^{d}; for every XL2(Ω;Rd)X\in L^{2}(\Omega;\mathbb{R}^{d}) with L(X)=μ\mathcal{L}(X)=\mu one has L(Xcm(μ))=μˉ\mathcal{L}(X-c_{m(\mu)})=\bar{\mu}; and for every νP2(Rd)\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}),

W2(μˉ,νˉ)2+m(μ)m(ν)2W2(μ,ν)2,in particularW2(μˉ,νˉ)W2(μ,ν).W_{2}(\bar{\mu},\bar{\nu})^{2}+\lVert m(\mu)-m(\nu)\rVert^{2}\le W_{2}(\mu,\nu)^{2},\qquad\text{in particular}\qquad W_{2}(\bar{\mu},\bar{\nu})\le W_{2}(\mu,\nu).

3. (Functions of the mean) Assume that (Ω,F,P)(\Omega,\mathcal{F},P) is rich, and let ϕ:RdR\phi:\mathbb{R}^{d}\to\mathbb{R} be of class C2C^{2} on Rd\mathbb{R}^{d}. Then μϕ(m(μ))\mu\mapsto\phi(m(\mu)) is a test function on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}); at μ\mu its intrinsic gradient is the class of the constant map xDϕ(m(μ))x\mapsto D\phi(m(\mu)) and its translation Hessian is D2ϕ(m(μ))D^{2}\phi(m(\mu)).

4. (Centring of a test function) Assume that (Ω,F,P)(\Omega,\mathcal{F},P) is rich, and let φ\varphi be a test function on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}). Then φ:P2(Rd)R\varphi^{\circ}:\mathcal{P}_{2}(\mathbb{R}^{d})\to\mathbb{R}, φ(μ)=φ(μˉ)\varphi^{\circ}(\mu)=\varphi(\bar{\mu}), is a test function on P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) with φ((τa)#μ)=φ(μ)\varphi^{\circ}((\tau_{a})_{\#}\mu)=\varphi^{\circ}(\mu) for all μ\mu and aa, and its translation Hessian is 0d0_{d} at every μ\mu. Its intrinsic gradient at μ\mu is obtained as follows: for every representative η\eta of φ(μˉ)L2(μˉ;Rd)\nabla\varphi(\bar{\mu})\in L^{2}(\bar{\mu};\mathbb{R}^{d}), each coordinate of η\eta is integrable with respect to μˉ\bar{\mu}, the point ηdμˉRd\int\eta\,d\bar{\mu}\in\mathbb{R}^{d} with coordinates ηidμˉ\int\eta_{i}\,d\bar{\mu} and the class in L2(μ;Rd)L^{2}(\mu;\mathbb{R}^{d}) of the Borel map xη(xm(μ))x\mapsto\eta(x-m(\mu)) do not depend on the representative, and

φ(μ) is the class of xη(xm(μ))Rdηdμˉ.\nabla\varphi^{\circ}(\mu)\ \text{is the class of}\ x\mapsto\eta\bigl(x-m(\mu)\bigr)-\int_{\mathbb{R}^{d}}\eta\,d\bar{\mu}.
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