Persistence probability of a random polynomial arising from evolutionary game theory
Van Hao Can, Manh Hong Duong, Viet Hung Pham

TL;DR
This paper derives an asymptotic formula for the probability that a specific random polynomial from evolutionary game theory has no internal equilibria, using Gaussian process approximations.
Contribution
It introduces a novel asymptotic analysis of persistence probabilities for polynomials from evolutionary game models, connecting polynomial behavior with Gaussian processes.
Findings
Derived an asymptotic formula for persistence probability
Linked polynomial properties to Gaussian process approximations
Provided insights into the stability of multi-player evolutionary games
Abstract
In this paper, we obtain an asymptotic formula for the persistence probability in the positive real line of a random polynomial arising from evolutionary game theory. It corresponds to the probability that a multi-player two-strategy random evolutionary game has no internal equilibria. The key ingredient is to approximate the sequence of random polynomials indexed by their degrees by an appropriate centered stationary Gaussian process.
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