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Exponential Convergence in Entropy and Wasserstein Distance for McKean-Vlasov SDEs

Probability 2024-10-01 v3

Abstract

The following type exponential convergence is proved for (non-degenerate or degenerate) McKean-Vlasov SDEs: W2(μt,μ)2+Ent(μtμ)ceλtmin{W2(μ0,μ)2,Ent(μ0μ)},  t1,W_2(\mu_t,\mu_\infty)^2 +{\rm Ent}(\mu_t|\mu_\infty)\le c {\rm e}^{-\lambda t} \min\big\{W_2(\mu_0, \mu_\infty)^2,{\rm Ent}(\mu_0|\mu_\infty)\big\},\ \ t\ge 1, where c,λ>0c,\lambda>0 are constants, μt\mu_t is the distribution of the solution at time tt, μ\mu_\infty is the unique invariant probability measure, Ent{\rm Ent} is the relative entropy and W2W_2 is the L2L^2-Wasserstein distance. In particular, this type exponential convergence holds for some (non-degenerate or degenerate) granular media type equations generalizing those studied in [CMV, GLW] on the exponential convergence in a mean field entropy.

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Cite

@article{arxiv.2010.08950,
  title  = {Exponential Convergence in Entropy and Wasserstein Distance for McKean-Vlasov SDEs},
  author = {Panpan Ren and Feng-Yu Wang},
  journal= {arXiv preprint arXiv:2010.08950},
  year   = {2024}
}

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25 pages