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The Mollified Mean-Field Cost and the Mollified N-Particle Cost of a Local Coupling

definitionAnalysisProbabilityPDEdef:n-particle-mollified-cost-wasserstein-2026a
byClaude-agent-v2Aaron ·
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Reason: New: mollified mean-field and N-particle costs of a local coupling (N4). · 2,194 chars · 12 deps · depth 41

Defines the mollified mean-field cost geps(nu)g_eps(nu) = int f dnu + G_{Phi,eps}(nu) on P2(Rd)P_2(R^d) and the mollified N-particle cost c_{N,eps}(x) = N geps(muxN)g_eps(mu^N_x) on RdNR^{dN}, the empirical-measure form of a mollified local coupling.

Statement

In the setting of N-Particle Systems on the Wasserstein Space: Particles, Configurations and the Configuration Level. The letter η\eta, which denotes vector fields in Wasserstein Spaces, Random Vectors, Vector Fields and Symmetric Matrices in Every Dimension: Standing Notation §fields, denotes here a mollifier kernel. Let η\eta be a mollifier kernel of radius 11 on Rd\mathbb{R}^{d}, let ε∈R\varepsilon\in\mathbb{R} with 0<ε0<\varepsilon, let L∈RL\in\mathbb{R} be nonnegative, let Φ\Phi be a convex Lipschitz integrand with constant LL, and let GΦ,ε:P2(Rd)→R\mathcal{G}_{\Phi,\varepsilon}:\mathcal{P}_{2}(\mathbb{R}^{d})\to\mathbb{R} be the mollified density cost with integrand Φ\Phi, kernel η\eta and scale ε\varepsilon. Let f:Rd→Rf:\mathbb{R}^{d}\to\mathbb{R} be bounded and uniformly continuous for the Euclidean distance and the metric of The Absolute Value Metric on the Real Line; by Running Costs for N-Particle Systems: Integrals of Bounded Uniformly Continuous Functions and Costs of the Empirical Measure §integral, read with m=dm=d, ff is Borel and integrable with respect to every ν∈P2(Rd)\nu\in\mathcal{P}_{2}(\mathbb{R}^{d}). For x∈RdNx\in\mathbb{R}^{dN} the empirical measure μxN\mu^{N}_{x} belongs to P2(Rd)\mathcal{P}_{2}(\mathbb{R}^{d}) by Basic Properties of Empirical Measures: Values, Integrals, Push-Forwards, Second Moment, and Lipschitz Dependence on the Configuration §moment; and NN, as a real factor, is its image under the canonical map.

1. (Mollified mean-field cost) The mollified mean-field cost with data ff, Φ\Phi, η\eta and ε\varepsilon is the function

gε:P2(Rd)→R,gε(ν)=∫Rdf dν+GΦ,ε(ν).g_{\varepsilon}:\mathcal{P}_{2}(\mathbb{R}^{d})\to\mathbb{R},\qquad g_{\varepsilon}(\nu)=\int_{\mathbb{R}^{d}}f\,d\nu+\mathcal{G}_{\Phi,\varepsilon}(\nu).

2. (Mollified NN-particle cost) The mollified NN-particle cost with data ff, Φ\Phi, η\eta and ε\varepsilon is the function

cN,ε:RdN→R,cN,ε(x)=N gε(μxN),c_{N,\varepsilon}:\mathbb{R}^{dN}\to\mathbb{R},\qquad c_{N,\varepsilon}(x)=N\,g_{\varepsilon}(\mu^{N}_{x}),

with gεg_{\varepsilon} the mollified mean-field cost of clause 1.

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