, Volume 80, Issue 11, pp 3078–3131 | Cite as

Metastability of Logit Dynamics for Coordination Games

  • Vincenzo Auletta
  • Diodato FerraioliEmail author
  • Francesco Pasquale
  • Giuseppe Persiano


Logit dynamics (Blume in Games Econ Behav 5:387–424, 1993) are randomized best response dynamics for strategic games: at every time step a player is selected uniformly at random and she chooses a new strategy according to a probability distribution biased toward strategies promising higher payoffs. This process defines an ergodic Markov chain, over the set of strategy profiles of the game, whose unique stationary distribution is the long-term equilibrium concept for the game. However, when the mixing time of the chain is large (e.g., exponential in the number of players), the stationary distribution loses its appeal as equilibrium concept, and the transient phase of the Markov chain becomes important. It can happen that the chain is “metastable”, i.e., on a time-scale shorter than the mixing time, it stays close to some probability distribution over the state space, while in a time-scale multiple of the mixing time it jumps from one distribution to another. In this paper we give a quantitative definition of “metastable probability distributions” for a Markov chain and we study the metastability of the logit dynamics for some classes of coordination games. We first consider a pure n-player coordination game that highlights the distinctive features of our metastability notion based on distributions. Then, we study coordination games on the clique without a risk-dominant strategy (which are equivalent to the well-known Glauber dynamics for the Curie–Weiss model) and coordination games on a ring (both with and without risk-dominant strategy).



We wish to thank Paolo Penna for useful ideas, hints, and discussions. We also thank the anonymous referees for their comments and suggestions.


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Authors and Affiliations

  1. 1.Università di SalernoFiscianoItaly
  2. 2.Università di Roma “Tor Vergata”RomeItaly

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