Graphon Games with Multiple Equilibria: Analysis and Computation

A graphon game can be seen either as a limit of a sequence of network games when the number of players tends to infinity or as a stochastic model for sampling network games. Under suitable assumptions, we show that every convergent sequence of Nash equilibria of network games sampled from a graphon game converges to an equilibrium of the graphon game with probability 1, and every equilibrium of a graphon game is a limit of a sequence of [Formula: see text]-Nash equilibria of network games sampled from the graphon game with probability 1. Further, we provide methods for computing the equilibria of two broad classes of graphon games modeling commonly observed interaction structures: graphon games with (i) a low-rank graphon and a polynomial best-response function and (ii) a stochastic block model graphon and finite strategy sets. Funding: This material is based upon work supported by the National Science Foundation under Award No. ECCS-2340289.

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Publication Details

Journal
Mathematics of Operations Research
Published
2026-01-28
DOI
https://doi.org/10.1287/moor.2024.0566
Primary Topic
Game Theory and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Graphon Games with Multiple Equilibria: Analysis and Computation

Francesca Parise, Kiran Maruti Rokade
Mathematics of Operations Research
Game Theory and Applications
article

Graphon Games with Multiple Equilibria: Analysis and Computation

Francesca Parise, Kiran Maruti Rokade
article en

Abstract

A graphon game can be seen either as a limit of a sequence of network games when the number of players tends to infinity or as a stochastic model for sampling network games. Under suitable assumptions, we show that every convergent sequence of Nash equilibria of network games sampled from a graphon game converges to an equilibrium of the graphon game with probability 1, and every equilibrium of a graphon game is a limit of a sequence of [Formula: see text]-Nash equilibria of network games sampled from the graphon game with probability 1. Further, we provide methods for computing the equilibria of two broad classes of graphon games modeling commonly observed interaction structures: graphon games with (i) a low-rank graphon and a polynomial best-response function and (ii) a stochastic block model graphon and finite strategy sets. Funding: This material is based upon work supported by the National Science Foundation under Award No. ECCS-2340289.

Mathematics of Operations Research
Cornell University (US)
Openalex Percentile: Top 77%
Game Theory and Applications
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