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Nash equilibria in random games with right fat-tailed distributions

Author

Listed:
  • Ting Pei

    (Huazhong University of Science and Technology)

  • Satoru Takahashi

    (University of Tokyo)

Abstract

We study the distribution of the number of mixed strategy Nash equilibria in two-player games where each player’s payoffs are independently drawn from an identical distribution. When the payoff distributions are sufficiently right fat-tailed, we characterize the Nash equilibria by best reply cycles of pure strategies, and we show that the expected number of Nash equilibria is approximately $$\sqrt{\pi mn/\left( m+n\right) }$$ π m n / m + n in a random $$m\times n$$ m × n asymmetric game and approximately n/2 in a random $$n\times n$$ n × n symmetric game. We also provide new lower bounds for the expected number of Nash equilibria in a random game with any type of payoff distribution.

Suggested Citation

  • Ting Pei & Satoru Takahashi, 2023. "Nash equilibria in random games with right fat-tailed distributions," International Journal of Game Theory, Springer;Game Theory Society, vol. 52(4), pages 1153-1177, December.
  • Handle: RePEc:spr:jogath:v:52:y:2023:i:4:d:10.1007_s00182-023-00863-2
    DOI: 10.1007/s00182-023-00863-2
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    References listed on IDEAS

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