The Mollified Density Cost is Bounded, Lipschitz for the Wasserstein Distance, and Below the Density Cost
lemmaAnalysisProbabilitylem:mollified-density-cost-properties-wasserstein-2026aThe mollified density cost with a convex Lipschitz integrand of constant L takes values in [0,L], is Lipschitz on the Wasserstein space with an explicit constant depending on L, the kernel and eps, and never exceeds the density cost of an absolutely continuous measure.
In the setting of Probability Measures on Euclidean Space and Random Vectors: Standing Notation, let , , , the mollifier kernel of radius , the scale with , the nonnegative real and the convex Lipschitz integrand with constant be as in The Mollified Density Cost of a Probability Measure with Finite Second Moment, and let be the mollified density cost on . Let be the quadratic Wasserstein distance on , a metric by The Quadratic Wasserstein Distance is a Metric on the Wasserstein Space §metric; let be the normalising constant of closed balls; and let and the density cost be those of The Density Cost of a Convex Lipschitz Integrand. Natural numbers occurring as real factors are read through the canonical map into , powers with natural exponent are those of Natural Number Power of an Element of a Field, is the multiplicative inverse of a real , , and the partial derivatives , , are those of Mollifying a Probability Measure on Euclidean Space: Kernel Bounds, the Translation Estimate, the Mollified Density and Its Cost §kernel. Then the following hold.
1. (Bounds)¶ For every , .
2. (Lipschitz continuity)¶ Let be a nonnegative real number with for every and every ; such a exists by Mollifying a Probability Measure on Euclidean Space: Kernel Bounds, the Translation Estimate, the Mollified Density and Its Cost §kernel. Then for all ,
that is, is Lipschitz with constant from the metric space to with the absolute-value metric, and depends only on , , and the kernel (through ).
3. (Comparison with the density cost)¶ For every ,
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