THE AVERAGE ABUNDANCE FUNCTION WITH MUTATION OF THE MULTI-PLAYER SNOWDRIFT EVOLUTIONARY GAME MODEL  

作　　者：Ke XIA Xianjia WAiVG 夏可;王先甲(School of Economics,Zhengzhou University of Aeronautics,Zhengzhou 450000,China;School of Economics and Management,Wuhan University,Wuhan 430072,China)

机构地区：[1]School of Economics,Zhengzhou University of Aeronautics,Zhengzhou 450000,China [2]School of Economics and Management,Wuhan University,Wuhan 430072,China

出　　处：《Acta Mathematica Scientia》2021年第1期127-163,共37页数学物理学报（B辑英文版）

基　　金：supported by the National Natural Science Foundation of China(71871171,72031009)。

摘　　要：This article explores the characteristics of the average abundance function with mutation on the basis of the multi-player snowdrift evolutionary game model by analytical analysis and numerical simulation.The specific field of this research concerns the approximate expressions of the average abundance function with mutation on the basis of different levels of selection intensity and an analysis of the results of numerical simulation on the basis of the intuitive expression of the average abundance function.In addition,the biological background of this research lies in research on the effects of mutation,which is regarded as a biological concept and a disturbance to game behavior on the average abundance function.The mutation will make the evolutionary result get closer to the neutral drift state.It can be deduced that this affection is not only related to mutation,but also related to selection intensity and the gap between payoff and aspiration level.The main research findings contain four aspects.First,we have deduced the concrete expression of the expected payoff function.The asymptotic property and change trend of the expected payoff function has been basically obtained.In addition,the intuitive expression of the average abundance function with mutation has been obtained by taking the detailed balance condition as the point of penetration.It can be deduced that the effect of mutation is to make the average abundance function get close to 1/2.In addition,this affection is related to selection intensity and the gap.Secondly,the first-order Taylor expansion of the average abundance function has been deduced for when selection intensity is sufficiently small.The expression of the average abundance function with mutation can be simplified from a composite function to a linear function because of this Taylor expansion.This finding will play a significant role when analyzing the results of the numerical simulation.Thirdly,we have obtained the approximate expressions of the average abundance function corresponding to

关 键 词：evolutionary game average abundance function MUTATION stochastic process 

分 类 号：O211.6[理学—概率论与数理统计]