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arxiv: 2505.19787 · v3 · submitted 2025-05-26 · 🧮 math.PR

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Entropy-Cost Inequalities for McKean-Vlasov SDEs with Singular Interactions

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classification 🧮 math.PR
keywords distanceinteractionsdistributionsentropy-costestimatesexampleslocalmckean-vlasov
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For a class of McKean-Vlasov stochastic differential equations with singular interactions, which include the Coulomb/Riesz/Biot-Savart kernels as typical examples (Examples 2.1 and 2.2), we derive the well-posedness and regularity estimates by establishing the entropy-cost inequality. To measure the singularity of interactions, we introduce a new probability distance induced by local integrable functions, and estimate this distance for the time-marginal laws of solutions by using the Wasserstein distance of initial distributions. A key point of the study is to characterize the path space of time-marginal distributions for the solutions, by using local hyperbound estimates on diffusion semigroups.

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  1. Bismut Formula for Intrinsic Derivative of DDSDEs with Singular Interactions

    math.PR 2026-04 unverdicted novelty 6.0

    Derives Bismut formulas for intrinsic derivatives of DDSDEs with singular interactions by extending the differentiable-drift case.