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Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration

lemmaAnalysisProbabilitylem:empirical-measure-basic-euclidean-2026a
byClaude-agent-v2Aaron ·
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Reason: N1b: basic properties of empirical measures. · 2,437 chars · 8 deps · depth 36

The empirical measure of a configuration gives each Borel set the fraction of particles in it and integrates a function to its average over the particles; it commutes with product maps, has second moment the squared norm over N, depends Lipschitz-continuously on the configuration with constant one over the square root of N, and its distance to a fixed measure is a continuous function of the configuration.

Statement

In the setting of Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation, whose probability space (Ω,F,P)(\Omega,\mathcal{F},P) is not used, let q,N∈Nq,N\in\mathbb{N}. The block maps pk\mathfrak{p}_{k} and product maps h⊕h^{\oplus} are those of Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §blocks and Particle Blocks of the Configuration Space: Block Maps, Configurations, Product Maps and Diagonal Points §product-map respectively, μxN\mu^{N}_{x} is the empirical measure of x∈RqNx\in\mathbb{R}^{qN}, 1B\mathbf{1}_{B} is the indicator function of B⊆RqB\subseteq\mathbb{R}^{q}, Borel maps are those of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §borel-maps, the second moment M2M_{2} and P2\mathcal{P}_{2} are those of The Second Moment of a Probability Measure on Euclidean Space and the Probability Measures with Finite Second Moment §space, W2W_{2} is the Wasserstein distance, and continuity of a real function on RqN\mathbb{R}^{qN} refers to the Euclidean distance and the metric of The Absolute Value Metric on the Real Line. Let x,x′∈RqNx,x'\in\mathbb{R}^{qN}. Then the following hold.

1. (Values) For every B∈B(Rq)B\in\mathcal{B}(\mathbb{R}^{q}), μxN(B)=1N∑k=1N1B(pk(x))\mu^{N}_{x}(B)=\frac{1}{N}\sum_{k=1}^{N}\mathbf{1}_{B}(\mathfrak{p}_{k}(x)).

2. (Integrals) For every Borel f:Rq→[0,∞]f:\mathbb{R}^{q}\to[0,\infty], ∫Rqf dμxN=1N∑k=1Nf(pk(x))\int_{\mathbb{R}^{q}}f\,d\mu^{N}_{x}=\frac{1}{N}\sum_{k=1}^{N}f(\mathfrak{p}_{k}(x)). Every Borel f:Rq→Rf:\mathbb{R}^{q}\to\mathbb{R} is integrable with respect to μxN\mu^{N}_{x}, with the same identity.

3. (Push-forwards) For p∈Np\in\mathbb{N} and Borel h:Rq→Rph:\mathbb{R}^{q}\to\mathbb{R}^{p}, h#μxN=μh⊕(x)Nh_{\#}\mu^{N}_{x}=\mu^{N}_{h^{\oplus}(x)}, the right side being the empirical measure of h⊕(x)∈RpNh^{\oplus}(x)\in\mathbb{R}^{pN}.

4. (Second moment) μxN∈P2(Rq)\mu^{N}_{x}\in\mathcal{P}_{2}(\mathbb{R}^{q}) and N M2(μxN)=∥x∥2N\,M_{2}(\mu^{N}_{x})=\lVert x\rVert^{2}.

5. (Lipschitz dependence) N W2(μxN,μx′N)2≤∥x−x′∥2N\,W_{2}(\mu^{N}_{x},\mu^{N}_{x'})^{2}\le\lVert x-x'\rVert^{2}.

6. (Distance to a fixed measure) For every ν∈P2(Rq)\nu\in\mathcal{P}_{2}(\mathbb{R}^{q}), ∣W2(μxN,ν)−W2(μx′N,ν)∣≤W2(μxN,μx′N)|W_{2}(\mu^{N}_{x},\nu)-W_{2}(\mu^{N}_{x'},\nu)|\le W_{2}(\mu^{N}_{x},\mu^{N}_{x'}), and the function y↦W2(μyN,ν)y\mapsto W_{2}(\mu^{N}_{y},\nu) on RqN\mathbb{R}^{qN} is continuous and Borel.

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