Evolution of the Distribution of Wealth in an Economic Environment Driven by Local Nash Equilibria

Pierre Degond, Jian Guo Liu, Christian Ringhofer

Research output: Contribution to journalArticlepeer-review

31 Scopus citations


We present and analyze a model for the evolution of the wealth distribution within a heterogeneous economic environment. The model considers a system of rational agents interacting in a game theoretical framework, through fairly general assumptions on the cost function. This evolution drives the dynamic of the agents in both wealth and economic configuration variables. We consider a regime of scale separation where the large scale dynamics is given by a hydrodynamic closure with a Nash equilibrium serving as the local thermodynamic equilibrium. The result is a system of gas dynamics-type equations for the density and average wealth of the agents on large scales. We recover the inverse gamma distribution as an equilibrium in the particular case of quadratic cost functions which has been previously considered in the literature.

Original languageEnglish (US)
Pages (from-to)751-780
Number of pages30
JournalJournal of Statistical Physics
Issue number3
StatePublished - Feb 2014


  • Collision invariant
  • Fokker-Planck equation
  • Geometric Brownian motion
  • Gibbs measure
  • Inverse Gamma distribution
  • Non-quadratic trading interaction
  • Pareto tail

ASJC Scopus subject areas

  • Statistical and Nonlinear Physics
  • Mathematical Physics


Dive into the research topics of 'Evolution of the Distribution of Wealth in an Economic Environment Driven by Local Nash Equilibria'. Together they form a unique fingerprint.

Cite this