ENTROPIC REGULARIZATION OF NONGRADIENT SYSTEMS

被引:1
作者
Adams, Daniel [1 ]
Manh Hong Duong [2 ]
dos Reis, Goncalo [3 ,4 ]
机构
[1] Univ Edinburgh, Sch Math, Maxwell Inst Math Sci, Edinburgh EH9 3FD, Midlothian, Scotland
[2] Univ Birmingham, Sch Math, Birmingham B15 2TT, W Midlands, England
[3] Univ Edinburgh, Sch Math, Kings Bldg, Edinburgh EH9 3JW, Midlothian, Scotland
[4] Univ Nova Lisboa, FCT, Ctr Matemat & Aplicacoes CMA, Lisbon, Portugal
基金
英国工程与自然科学研究理事会;
关键词
Wasserstein gradient flows; entropic regularization; optimal transport; nongradient PDEs; variational formulation; steepest descent methods; FOKKER-PLANCK EQUATIONS; GRADIENT FLOWS; OPTIMAL TRANSPORT; LARGE-DEVIATIONS; VARIATIONAL FORMULATION; SCALING ALGORITHMS; FULLY DISCRETE; DIFFUSION; SCHEME; APPROXIMATION;
D O I
10.1137/21M1414668
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The theory of Wasserstein gradient flows in the space of probability measures has made enormous progress over the last 20 years. It constitutes a unified and powerful framework in the study of dissipative partial differential equations (PDEs) providing the means to prove well-posedness, regularity, stability, and quantitative convergence to the equilibrium. The recently developed entropic regularization technique paves the way for fast and efficient numerical methods for solving these gradient flows. However, many PDEs of interest do not have a gradient flow structure and, a priori, the theory is not applicable. In this paper, we develop a time-discrete entropy regularized variational scheme for a general class of such nongradient PDEs. We prove the convergence of the scheme and illustrate the breadth of the proposed framework with concrete examples including the nonlinear kinetic Fokker-Planck (Kramers) equation and a nonlinear degenerate diffusion of Kolmogorov type. Numerical simulations are also provided.
引用
收藏
页码:4495 / 4535
页数:41
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