We analyze the stability of the logit evolutionary dynamics in population games, possibly with multiple heterogeneous populations. For general population games, we prove that, on the one hand, strict Nash equilibria are asymptotically stable under the logit dynamics for low enough noise levels, on the other hand, a globally exponentially stable logit equilibrium exists for sufficiently large noise levels. This suggests the emergence of bifurcations in population games admitting multiple strict Nash equilibria, as observed in numerous examples. We then characterize a novel class of monotone separable population games for which globally asymptotically stable logit equilibria are proved to exist for every noise level. The considered class of monotone separable games finds applications, e.g., in routing games on series compositions of networks with parallel routes when there are multiple populations of users that differ in the reward function.

On the Stability of the Logit Dynamics in Population Games / Cianfanelli, L.; Como, G.. - In: IEEE TRANSACTIONS ON AUTOMATIC CONTROL. - ISSN 0018-9286. - (2025), pp. 1-16. [10.1109/TAC.2025.3553096]

On the Stability of the Logit Dynamics in Population Games

Cianfanelli L.;Como G.
2025

Abstract

We analyze the stability of the logit evolutionary dynamics in population games, possibly with multiple heterogeneous populations. For general population games, we prove that, on the one hand, strict Nash equilibria are asymptotically stable under the logit dynamics for low enough noise levels, on the other hand, a globally exponentially stable logit equilibrium exists for sufficiently large noise levels. This suggests the emergence of bifurcations in population games admitting multiple strict Nash equilibria, as observed in numerous examples. We then characterize a novel class of monotone separable population games for which globally asymptotically stable logit equilibria are proved to exist for every noise level. The considered class of monotone separable games finds applications, e.g., in routing games on series compositions of networks with parallel routes when there are multiple populations of users that differ in the reward function.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2999451