Hostname: page-component-586b7cd67f-t7fkt Total loading time: 0 Render date: 2024-11-27T23:09:40.716Z Has data issue: false hasContentIssue false

Wasserstein gradient flows from large deviations ofmany-particle limits

Published online by Cambridge University Press:  13 August 2013

Manh Hong Duong
Affiliation:
Department of Mathematical sciences, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom
Vaios Laschos
Affiliation:
Department of Mathematical sciences, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom
Michiel Renger
Affiliation:
ICMS and Dep. of Math. and Comp. Sciences, TU Eindhoven, Den Dolech 2, 5612 AZ Eindhoven, the Netherlands. [email protected]
Get access

Abstract

We study the Fokker–Planck equation as the many-particle limit of a stochastic particlesystem on one hand and as a Wasserstein gradient flow on the other. We write thepath-space rate functional, which characterises the large deviations from the expectedtrajectories, in such a way that the free energy appears explicitly. Next we use thisformulation via the contraction principle to prove that the discrete time rate functionalis asymptotically equivalent in the Gamma-convergence sense to the functional derived fromthe Wasserstein gradient discretization scheme.

Type
Research Article
Copyright
© EDP Sciences, SMAI, 2013

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Adams, S., Dirr, N., Peletier, M.A. and Zimmer, J., From a large-deviations principle to the Wasserstein gradient flow: a new micro-macro passage. Commun. Math. Phys. 307 (2011) 791815. Google Scholar
S. Adams, N. Dirr, M.A. Peletier and J. Zimmer, Large deviations and gradient flows. Philosophical Transactions of the Royal Society A. To appear (2013).
L. Ambrosio, N. Gigli and G. Savaré, Gradient flows in metric spaces and in the space of probability measures. In Lect. Math., ETH Zürich. Birkhauser, Basel, 2nd edition (2008).
Benamou, J.D. and Brenier, Y., A computational fluid mechanics solution to the Monge-Kantorovich mass transfer problem. Numer. Math. 84 (2000) 375393. Google Scholar
A. Braides, Gamma convergence for beginners. Oxford University Press, Oxford (2002).
Dawson, D.A. and Gärtner, J., Large deviations from the McKean-Vlasov limit for weakly interacting diffusions. Stochastics 20 (1987) 247308. Google Scholar
N. Dirr, V. Laschos and J. Zimmer, Upscaling from particle models to entropic gradient flows (submitted) (2010).
R.M. Dudley, Real analysis and probability. Wadsworth and Brooks/Cole, Pacific Grove, CA, USA (1989).
A. Dembo and O. Zeitouni, Large deviations techniques and applications, in Stoch. Model. Appl. Probab., vol. 38. Springer, New York, NY, USA, 2nd edition (1987).
J. Feng and T.G. Kurtz, Large deviations for stochastic processes, in Mathematical surveys and monographs of vol. 131. AMS, Providence, RI, USA (2006).
Feng, J. and Nguyen, T., Hamilton-Jacobi equations in space of measures associated with a system of convervations laws. J. Math. Pures Appl. 97 (2011) 318390. Google Scholar
Jordan, R., Kinderlehrer, D. and Otto, F., The variational formulation of the Fokker-Planck equation. SIAM J. Math. Anal. 29 (1998) 117. Google Scholar
C. Léonard, A large deviation approach to optimal transport. arxiv:org/abs/0710.1461v1 (2007).
Otto, F., The geometry of dissipative evolution equations: the porous medium equation. Commun. Partial Differ. Equ. 26 (2001) 101174. Google Scholar
M.A.Peletier, M. Renger and M. Veneroni, Variational formulation of the Fokker-Planck equation with decay: a particle approach. arxiv:org/abs/1108.3181 (2012).
W. Rudin, Functional Analysis. McGraw-Hill, New York, NY, USA (1973).
C. Villani, Topics in optimal transportation, Graduate Studies in Mathematics, vol. 58. AMS, Providence (2003).
C. Villani, Optimal transport, Grundlehren der Mathematischen Wissenschaften, vol. 338. Springer-Verlag, Berlin (2009).