Abstract
The Lipschitz constant of a game measures the maximal amount of influence that one player has on the payoff of some other player. The worst-case Lipschitz constant of an n-player k-action δ-perturbed game, λ(n, k, δ) , is given an explicit probabilistic description. In the case of k≥ 3 , it is identified with the passage probability of a certain symmetric random walk on Z. In the case of k= 2 and n even, λ(n, 2 , δ) is identified with the probability that two i.i.d. binomial random variables are equal. The remaining case, k= 2 and n odd, is bounded through the adjacent (even) values of n. Our characterization implies a sharp closed-form asymptotic estimate of λ(n, k, δ) as δn/ k→ ∞.
| Original language | English |
|---|---|
| Pages (from-to) | 293-306 |
| Number of pages | 14 |
| Journal | International Journal of Game Theory |
| Volume | 51 |
| Issue number | 2 |
| DOIs | |
| State | Published - Jun 2022 |
Keywords
- Anonymous games
- Approximate Nash equilibrium
- Large games
- Perturbed games
All Science Journal Classification (ASJC) codes
- Statistics and Probability
- Mathematics (miscellaneous)
- Social Sciences (miscellaneous)
- Economics and Econometrics
- Statistics, Probability and Uncertainty
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