Random evolutionary games and random polynomials

Fuente: arXiv
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Autores principales: Duong, Manh Hong, Han, The Anh
Formato: Preprint
Publicado: 2023
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author Duong, Manh Hong
Han, The Anh
author_facet Duong, Manh Hong
Han, The Anh
contents In this paper, we discover that the class of random polynomials arising from the equilibrium analysis of random asymmetric evolutionary games is \textit{exactly} the Kostlan-Shub-Smale system of random polynomials, revealing an intriguing connection between evolutionary game theory and the theory of random polynomials. Through this connection, we analytically characterize the statistics of the number of internal equilibria of random asymmetric evolutionary games, namely its mean value, probability distribution, central limit theorem and universality phenomena. Biologically, these quantities enable prediction of the levels of social and biological diversity as well as the overall complexity in a dynamical system. By comparing symmetric and asymmetric random games, we establish that symmetry in group interactions increases the expected number of internal equilibria. Our research establishes new theoretical understanding of asymmetric evolutionary games and highlights the significance of symmetry and asymmetry in group interactions.
format Preprint
id arxiv_https___arxiv_org_abs_2304_13831
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Random evolutionary games and random polynomials
Duong, Manh Hong
Han, The Anh
Probability
Populations and Evolution
Methodology
In this paper, we discover that the class of random polynomials arising from the equilibrium analysis of random asymmetric evolutionary games is \textit{exactly} the Kostlan-Shub-Smale system of random polynomials, revealing an intriguing connection between evolutionary game theory and the theory of random polynomials. Through this connection, we analytically characterize the statistics of the number of internal equilibria of random asymmetric evolutionary games, namely its mean value, probability distribution, central limit theorem and universality phenomena. Biologically, these quantities enable prediction of the levels of social and biological diversity as well as the overall complexity in a dynamical system. By comparing symmetric and asymmetric random games, we establish that symmetry in group interactions increases the expected number of internal equilibria. Our research establishes new theoretical understanding of asymmetric evolutionary games and highlights the significance of symmetry and asymmetry in group interactions.
title Random evolutionary games and random polynomials
topic Probability
Populations and Evolution
Methodology
url https://arxiv.org/abs/2304.13831