Journal of Nonlinear Science

, Volume 29, Issue 3, pp 871–896 | Cite as

Population Games and Discrete Optimal Transport

  • Shui-Nee Chow
  • Wuchen LiEmail author
  • Jun Lu
  • Haomin Zhou


We propose an evolutionary dynamics for population games with discrete strategy sets, inspired by optimal transport theory and mean field games. The proposed dynamics is the Smith dynamics with strategy graph structure, in which payoffs are modified by logarithmic terms. The dynamics can be described as a Fokker–Planck equation on a discrete strategy set. For potential games, the dynamics is a gradient flow system under a Riemannian metric from optimal transport theory. The stability of the dynamics is studied through optimal transport metric tensor, free energy and Fisher information.


Evolutionary game theory Optimal transport Mean field games Fokker–Planck equations 



This paper is based on Wuchen Li’s thesis Li (2016).


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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Georgia Institute of TechnologyAtlantaUSA
  2. 2.University of California Los AngelesLos AngelesUSA

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