The Mollified N-Particle Cost: Regularity, Its Tensor-Averaged Cost, and the Defect against the Local Cost
lemmaAnalysisProbabilityPDElem:mollified-cost-tensor-average-wasserstein-2026aThe mollified mean-field and N-particle costs are bounded and uniformly continuous; the tensor-averaged cost of the N-particle cost is the linear cost plus the tensor average of the mollified density cost at the empirical measure; and its excess over the local cost is bounded by L times the fluctuation bound.
In the setting of N-Particle Systems on the Wasserstein Space: Particles, Configurations and the Configuration Level. The letter , 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 be a mollifier kernel of radius on , let with , let be nonnegative, let be a convex Lipschitz integrand with constant , let be the mollified density cost with integrand , kernel and scale , and let be bounded and uniformly continuous, with a bound . Let be the mollified mean-field cost and the mollified -particle cost with data , , and . Uniform continuity of a real function on refers to the Euclidean distance and on to , with the metric of The Absolute Value Metric on the Real Line on . By claim 1 below and Running Costs for N-Particle Systems: Integrals of Bounded Uniformly Continuous Functions and Costs of the Empirical Measure §integral, read with , is bounded and Borel, so that its tensor-averaged cost is defined. Tensor powers , one-particle marginals , empirical measures and block maps are those of N-Particle Systems on the Wasserstein Space: Particles, Configurations and the Configuration Level §particles. Let be Lebesgue measure on and , where is the zero vector of , the normalising constant of closed balls; let and the density cost be those of The Density Cost of a Convex Lipschitz Integrand, and the second moment of . Natural numbers occurring as real factors are read through the canonical map, powers with natural exponent are those of Natural Number Power of an Element of a Field, is the multiplicative inverse of a real , , and is the nonnegative square root of Probability Measures on Euclidean Space and Random Vectors: Standing Notation §spaces. Then the following hold.
1. (Regularity)¶ for every , and is uniformly continuous on ; for every , and is uniformly continuous on .
2. (The tensor-averaged cost)¶ The functions and on are Borel, the first with absolute value at most and the second with values in . For every ,
and for every ,
3. (Defect against the density cost)¶ Suppose that , let be a positive real number with for every (one exists by Mollifying a Probability Measure on Euclidean Space: Kernel Bounds, the Translation Estimate, the Mollified Density and Its Cost §kernel), let , and let be a real number with . Then
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