Paper-Scissors-Stone Model for Interacting Population and its Limit Theorem
Yasunori Okabe, Hajime Mano, Yoshiaki Itoh

TL;DR
This paper introduces a stochastic model of three interacting species resembling a paper-scissors-stone game, deriving differential equations from probabilistic laws and analyzing its stochastic structure.
Contribution
The paper develops a novel stochastic collision model for three species and derives associated differential equations using stochastic calculus, including a weak law and a central limit theorem.
Findings
Weak law of large numbers for the model
Central limit theorem established
Derivation of differential equations from stochastic laws
Abstract
This paper treats a random collision model of three species, which is represented by the random time change of three standard Poisson processes. The prey-predator relation in the random collision model looks like paper-scissors-stone game, and the model is called the paper-scissors model. At first, we investigate the stochastic structure of our model. By using stochastic calculus, the model is decomposed into a semi-martingale, and we prove a weak law of large numbers and a central limit theorem. The main purpose of this paper is to obtain an ordinary differential equation from the weak law and a stochastic differential equation from the central limit theorem.
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Taxonomy
TopicsMathematical and Theoretical Epidemiology and Ecology Models · Mathematical Biology Tumor Growth · Evolutionary Game Theory and Cooperation
