{
  "id": "2310.02259",
  "version": "v1",
  "published": "2023-10-03T17:58:53.000Z",
  "updated": "2023-10-03T17:58:53.000Z",
  "title": "Towards An Analytical Framework for Potential Games",
  "authors": [
    "Xin Guo",
    "Yufei Zhang"
  ],
  "categories": [
    "math.OC",
    "cs.GT",
    "math.PR"
  ],
  "abstract": "Potential game is an emerging notion and framework for studying multi-agent games, especially with heterogeneous agents. Up to date, potential games have been extensively studied mostly from the algorithmic aspect in approximating and computing the Nash equilibrium without verifying if the game is a potential game, due to the lack of analytical structure. In this paper, we aim to build an analytical framework for dynamic potential games. We prove that a game is a potential game if and only if each agent's value function can be decomposed as a potential function and a residual term that solely dependent on other agents' actions. This decomposition enables us to identify and analyze a new and important class of potential games called the distributed game. Moreover, by an appropriate notion of functional derivatives, we prove that a game is a potential game if the value function has a symmetric Jacobian. Consequently, for a general class of continuous-time stochastic games, their potential functions can be further characterized from both the probabilistic and the PDE approaches. The consistency of these two characterisations are shown in a class of linear-quadratic games.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-10-03T17:58:53.000Z"
    }
  ],
  "analyses": {
    "subjects": [
      "91A14",
      "91A06",
      "91A15"
    ],
    "keywords": [
      "analytical framework",
      "potential function",
      "agents value function",
      "continuous-time stochastic games",
      "dynamic potential games"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}