A gradient flow approach of propagation of chaos

Samir Salem

doi:10.3934/dcds.2020243

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2020, Volume 40, Issue 10: 5729-5754. Doi: 10.3934/dcds.2020243

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A gradient flow approach of propagation of chaos

Samir Salem^,

Institut de Mathématiques de Toulouse, UMR 5219, 118 Route de Narbonne, 31400, Toulouse, France

^* Corresponding author
^* Corresponding author

Received: May 31, 2019

Revised: January 31, 2020

Published: June 2020

The author is supported by the Labex CIMI

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Abstract

We provide an estimation of the dissipation of the Wasserstein 2 distance between the law of some interacting $ N $-particle system, and the $ N $ times tensorized product of the solution to the corresponding limit nonlinear conservation law. It then enables to recover classical propagation of chaos results [20] in the case of Lipschitz coefficients, uniform in time propagation of chaos in [17] in the case of strictly convex coefficients. And some recent results [7] as the case of particle in a double well potential.

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Mathematics Subject Classification: 35Q84, 37A50, 49Q25.

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References

[1]	L. Ambrosio, N. Gigli and G. Savaré, Gradient Flows in Metric Spaces and in the Space of Probability Measures, Lectures Math. ETH Zürich, Birkhäuser Verlag, Basel, 2008.
[2]	F. Bolley, I. Gentil and A. Guillin, Convergence to equilibrium in Wasserstein distance for Fokker–Planck equations, J. Funct. Anal., 263 (2012), 2430-2457. doi: 10.1016/j.jfa.2012.07.007.
[3]	F. Bolley, I. Gentil and A. Guillin, Uniform convergence to equilibrium for granular media, Arch. Rational Mech. Anal., 208 (2013), 429-445. doi: 10.1007/s00205-012-0599-z.
[4]	E. A. Carlen, Superadditivity of Fisher's Information and Logarithmic Sobolev Inequalities, J. Funct. Anal., 101 (1991), 194-211. doi: 10.1016/0022-1236(91)90155-X.
[5]	D. Cordero-Erausquin and A. Figalli, Regularity of monotone maps between unbounded domains, Discrete & Contin. Dyn. Syst., 39 (2019), 7101-7112. doi: 10.3934/dcds.2019297.
[6]	R. L. Dobrušin, Vlasov equations, Anal. i Prilozhen., 13 (1979), 48-58.
[7]	A. Durmus, A. Eberle, A. Guillin and R. Zimmer, An elementary approach to uniform in time propagation of chaos., preprint, arXiv: 1805.11387.
[8]	A. Eberle, Reflection couplings and contraction rates for diffusions, Probab. Theory Relat. Fields, 166 (2016), 851-886. doi: 10.1007/s00440-015-0673-1.
[9]	N. Fournier and A. Guillin, On the rate of convergence in Wasserstein distance of the empirical measure, Probab. Theory Related Fields, 162 (2015), 707-738. doi: 10.1007/s00440-014-0583-7.
[10]	N. Fournier, M. Hauray and S. Mischler, Propagation of chaos for the 2D viscous vortex model, J. Eur. Math. Soc., 16 (2014), 1423-1466. doi: 10.4171/JEMS/465.
[11]	F. Golse, C. Mouhot and T. Paul, On the mean field and classical limits of quantum mechanics, Commun. Math. Phys., 343 (2016), 165-205. doi: 10.1007/s00220-015-2485-7.
[12]	M. Hauray and S. Mischler., On Kac's chaos and related problems, J. Funct. Anal., 266 (2014), 6055-6157. doi: 10.1016/j.jfa.2014.02.030.
[13]	S. Herrmann and J. Tugaut, Non-uniqueness of stationary measures for self-stabilizing processes, Stochastic Process. Appl., 120 (2010), 1215-1246. doi: 10.1016/j.spa.2010.03.009.
[14]	T. Holding, Propagation of chaos for Hölder continuous interaction kernels via Glivenko-Cantelli, Preprint, arXiv: 1608.02877, (2016).
[15]	P.-E. Jabin and Z. Wang, Mean field limit and propagation of chaos for Vlasov systems with bounded forces, J. Funct. Anal., 271 (2016), 3588-3627. doi: 10.1016/j.jfa.2016.09.014.
[16]	P.-E. Jabin and Z. Wang, Quantitative estimate of propagation of chaos for stochastic systems with $W^{-1,\infty}$ kernels, Invent. Math., 214 (2018), 523-591. doi: 10.1007/s00222-018-0808-y.
[17]	F. Malrieu, Logarithmic Sobolev inequalities for some nonlinear PDE's, Stochastic Process. Appl., 95 (2001), 109-132. doi: 10.1016/S0304-4149(01)00095-3.
[18]	H.-P. McKean Jr., A class of Markov processes associated with nonlinear parabolic equations, Proc. Nat. Acad. Sci. U.S.A., 56 (1966), 1907-1911. doi: 10.1073/pnas.56.6.1907.
[19]	S. Salem, Propagation of chaos for some 2 dimensional fractional Keller Segel equations in diffusion dominated and fair competition cases, preprint, arXiv: 1712.06677.
[20]	A.-S. Sznitman, Topics in propagation of chaos, In École d'Été de Probabilités de Saint-Flour XIX–-1989, volume 1464, chapter Lecture Notes in Math., pages 165–251. Springer, Berlin, 1991. doi: 10.1007/BFb0085169.
[21]	C. Villani, Of Triangles, Gases, Prices and Men, Huawei-IHES Workshop on Mathematical Science, Tuesday May 5th 2015.
[22]	C. Villani, Optimal Transport, Old and New, Grundlehren Math. Wiss., vol. 338, Springer, Berlin, 2009. doi: 10.1007/978-3-540-71050-9.