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Steady states of an Elo-type rating model for players of varying strength

Bertram Düring, Josephine Evans, Marie-Therese Wolfram

Abstract

In this paper we study the long-time behaviour of a kinetic formulation of an Elo-type rating model for a large number of interacting players with variable strength. The model results in a non-linear mean-field Fokker-Planck equation and we show the existence of steady states via a Schauder fixed point argument. Our proof relies on the study of a related linear equation using hypocoercivity techniques.

Steady states of an Elo-type rating model for players of varying strength

Abstract

In this paper we study the long-time behaviour of a kinetic formulation of an Elo-type rating model for a large number of interacting players with variable strength. The model results in a non-linear mean-field Fokker-Planck equation and we show the existence of steady states via a Schauder fixed point argument. Our proof relies on the study of a related linear equation using hypocoercivity techniques.
Paper Structure (14 sections, 22 theorems, 111 equations, 2 figures)

This paper contains 14 sections, 22 theorems, 111 equations, 2 figures.

Key Result

Theorem 3.1

Let Assumption assumptionb be satisfied. Then there exists a steady solution $f_\infty$ to eq:nlmain, which is a probability measure on $\mathbb{R}^2$. Furthermore, $f_\infty$ is a smooth function with a bounded exponential moment.

Figures (2)

  • Figure 1: Steady state player distribution $f_{\infty}$.
  • Figure 2: Decay of the relative energy \ref{['e:energy']} for different weights functions $\phi = \phi(\beta, \gamma)$ defined by \ref{['eq:definephi']} and for $\phi = f_{\infty}^{-1}$.

Theorems & Definitions (42)

  • Theorem 3.1
  • Definition 3.1
  • Definition 3.2
  • Definition 3.3
  • Theorem 3.2: Prokhorov's Theorem
  • Lemma 3.3
  • proof
  • Definition 3.4
  • Definition 3.5
  • Proposition 3.1
  • ...and 32 more