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Gambler’s ruin with random stopping
Stochastic Models ( IF 0.7 ) Pub Date : 2023-08-03 , DOI: 10.1080/15326349.2023.2241066
Gregory J. Morrow 1
Affiliation  

Abstract

Let {Xj,j0} denote a Markov process on [N1,N+1]{c}. Suppose P(Xj+1=m+1|Xj=m)=ph,P(Xj+1=m1|Xj=m)=(1p)h, all j1 and |m|N, where p=12+bN and h=1cN for cN=12a2/N2. Define P(Xj+1=c|Xj=m)=cN,j0,|m|N. {Xj} terminates at the first j such that Xj{N1,N+1,c}. Let L=max{j0:Xj=0}. On Ω°={Xj terminates at c}, denote by R° and L°, respectively, as the numbers of runs and steps from L until termination. Denote Δ°=L°2R°. Then limNE{eitNΔ°|Ω°}=Ca,bc2+t2(coshc2+t2-cosh(2b))(a2+t2)sinhc2+t2, where c2=a2+4b2.



中文翻译:

赌徒因随机停止而破产

摘要

{Xj,j0}表示马尔可夫过程[--1,+1]{C}。认为Xj+1=+1|Xj==pH,Xj+1=-1|Xj==1-pH, 阿勒斯j1其他| | N, 在哪里p=12+其他H=1-C为了C=12A2/2。定义Xj+1=C|Xj==C,j0,||{Xj}终止于第一个j使得Xjε{--1,+1,C}。让L=最大限度{j0:Xj=0}。在Ω°={Xj 终止于 C},表示为°其他L°分别为运行次数和步数L直至终止。表示Δ°=L°-2°。然后有限的无穷大{etΔ°|Ω°}=CA,C2+t2科什C2+t2-科什2A2+t2C2+t2, 在哪里C2=A2+42

更新日期:2023-08-03
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