From large deviations to Wasserstein gradient flows in multiple dimensions

被引:19
|
作者
Erbar, Matthias [1 ]
Maas, Jan [2 ]
Renger, D. R. Michiel [3 ]
机构
[1] Univ Bonn, Bonn, Germany
[2] Inst Sci & Technol Austria IST Austria, Klosterneuburg, Austria
[3] WIAS Berlin, Berlin, Germany
关键词
Large deviations; gradient flows; Wasserstein metric; Gamma-convergence; PRINCIPLE;
D O I
10.1214/ECP.v20-4315
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
We study the large deviation rate functional for the empirical distribution of independent Brownian particles with drift. In one dimension, it has been shown by Adams, Dirr, Peletier and Zimmer that this functional is asymptotically equivalent (in the sense of Gamma-convergence as the time-step goes to zero) to the Jordan-Kinderlehrer-Otto functional arising in the Wasserstein gradient flow structure of the Fokker-Planck equation. In higher dimensions, part of this statement (the lower bound) has been recently proved by Duong, Laschos and Renger, but the upper bound remained open, since their proof of the upper bound relies on regularity properties of optimal transport maps that are restricted to one dimension. In this note we present a new proof of the upper bound, thereby generalising the result of Adams, Dirr, Peletier and Zimmer to arbitrary dimensions.
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页码:1 / 12
页数:12
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