Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
120 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Higher-order propagation of chaos in $L^2$ for interacting diffusions (2310.09654v2)

Published 14 Oct 2023 in math.PR and math.AP

Abstract: In this paper, we study diffusions with bounded pairwise interaction. We show for the first time propagation of chaos on arbitrary time horizons in a stronger $L2$-based distance, as opposed to the usual Wasserstein or relative entropy distances. The estimate is based on iterating inequalities derived from the BBGKY hierarchy and does not follow directly from bounds on the full $N$-particle density. This argument gives the optimal rate in $N$, showing the distance between the $j$-particle marginal density and the tensor product of the mean-field limit is $O(N{-1})$. We use cluster expansions to give perturbative higher-order corrections to the mean-field limit. For an arbitrary order $i$, these provide ``low-dimensional'' approximations to the $j$-particle marginal density with error $O(N{-(i+1)})$.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (30)
  1. Increasing propagation of chaos for mean field models. Annales de l’I.H.P. Probabilités et statistiques, 35(1):85–102, 1999.
  2. Statistical dynamics of a hard sphere gas: fluctuating Boltzmann equation and large deviations, August 2020. arXiv:2008.10403 [math.AP].
  3. A new approach to the mean-field limit of Vlasov-Fokker-Planck equations, March 2022. arXiv:2203.15747 [math.AP].
  4. On Mean Field Limit and Quantitative Estimates with a Large Class of Singular Kernels: Application to the Patlak-Keller-Segel Model, June 2019. arXiv:1906.04093 [math.AP].
  5. Fokker-Planck-Kolmogorov Equations. American Mathematical Soc., December 2015.
  6. Nikolai Nikolaevich Bogolyubov. Problems of a Dynamical Theory in Statistical Physics. Thermal Radiation Laboratory, Geophysics Research Directorate, AF Cambridge Research Laboratories, Air Force Research Division (ARDC) U.S. Air Force, 1960.
  7. On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport. In Advances in Neural Information Processing Systems, volume 31. Curran Associates, Inc., 2018.
  8. Propagation of chaos: A review of models, methods and applications. I. Models and methods. Kinetic and Related Models, 15(6):895–1015, November 2022.
  9. Sharp uniform-in-time mean-field convergence for singular periodic Riesz flows, April 2023. arXiv:2304.05315 [math.AP].
  10. An elementary approach to uniform in time propagation of chaos. Proceedings of the American Mathematical Society, 148(12):5387–5398, December 2020.
  11. Mathematical Methods for Hydrodynamic Limits, volume 1501 of Lecture Notes in Mathematics. Springer, Berlin, Heidelberg, 1991.
  12. Mitia Duerinckx. On the Size of Chaos via Glauber Calculus in the Classical Mean-Field Dynamics. Communications in Mathematical Physics, 382(1):613–653, February 2021.
  13. On systems of particles in singular repulsive interaction in dimension one: log and Riesz gas. Journal de l’École polytechnique — Mathématiques, 10:867–916, 2023.
  14. Jean-Francois Jabir. Rate of propagation of chaos for diffusive stochastic particle systems via Girsanov transformation, July 2019. arXiv:1907.09096 [math].
  15. Mean field limit and propagation of chaos for Vlasov systems with bounded forces. Journal of Functional Analysis, 271(12):3588–3627, December 2016.
  16. Quantitative estimates of propagation of chaos for stochastic systems with W−1,∞superscript𝑊1W^{-1,\infty}italic_W start_POSTSUPERSCRIPT - 1 , ∞ end_POSTSUPERSCRIPT kernels. Inventiones mathematicae, 214(1):523–591, October 2018.
  17. Daniel Lacker. On a strong form of propagation of chaos for McKean-Vlasov equations. Electronic Communications in Probability, 23:1–11, January 2018.
  18. Daniel Lacker. Hierarchies, entropy, and quantitative propagation of chaos for mean field diffusions. Probability and Mathematical Physics, 4(2):377–432, May 2023.
  19. On the Law of Large Numbers for the Empirical Measure Process of Generalized Dyson Brownian Motion. Journal of Statistical Physics, 181(4):1277–1305, November 2020.
  20. Genealogies and Increasing Propagation of Chaos For Feynman-Kac and Genetic Models. The Annals of Applied Probability, 11(4):1166–1198, November 2001.
  21. Mathematical Theory of Incompressible Nonviscous Fluids, volume 96 of Applied Mathematical Sciences. Springer, New York, NY, 1994.
  22. Lars Onsager. Statistical hydrodynamics. Il Nuovo Cimento (1943-1954), 6(2):279–287, March 1949.
  23. Benoît Perthame. Transport Equations in Biology. Frontiers in Mathematics. Birkhäuser, Basel, 2007.
  24. Asymptotic expansion of the mean-field approximation. Discrete and Continuous Dynamical Systems, 39(4):1891–1921, March 2019.
  25. On the Size of Chaos in the Mean Field Dynamics. Archive for Rational Mechanics and Analysis, 231(1):285–317, January 2019.
  26. The Boltzmann–Grad limit of a hard sphere system: analysis of the correlation error. Inventiones mathematicae, 207(3):1135–1237, March 2017.
  27. Modulated logarithmic Sobolev inequalities and generation of chaos, July 2023. arXiv:2307.07587 [math-ph].
  28. Trainability and Accuracy of Artificial Neural Networks: An Interacting Particle System Approach. Communications on Pure and Applied Mathematics, 75(9):1889–1935, 2022.
  29. f -Divergence Inequalities. IEEE Transactions on Information Theory, 62(11):5973–6006, November 2016.
  30. A Nonlocal Continuum Model for Biological Aggregation. Bulletin of Mathematical Biology, 68(7):1601–1623, October 2006.
Citations (4)

Summary

We haven't generated a summary for this paper yet.

X Twitter Logo Streamline Icon: https://streamlinehq.com