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Some Asymptotic Formulas for a Brownian Motion from The Maximum and Minimum Domains with Regular Varying Boundary
被引:0
作者:
Lu, Dawei
[1
]
机构:
[1] Dalian Univ Technol, Sch Math Sci, Dalian 116023, Peoples R China
基金:
中国国家自然科学基金;
关键词:
Brownian motion;
Exit probabilities;
Gordon's inequality;
Regular function;
1ST EXIT TIME;
D O I:
10.1080/03610926.2012.702364
中图分类号:
O21 [概率论与数理统计];
C8 [统计学];
学科分类号:
020208 ;
070103 ;
0714 ;
摘要:
Consider a Brownian motion starting at an interior point of the maximum or minimum domains with regular varying boundary, namely, D-max = {( x, y(1), y(2)) : parallel to x parallel to < max(i=1,2){f(i)(1 + y(i))}} and D-min = {(x, y(1), y(2)) : parallel to x parallel to < min(i=1,2){f(i) (1 + y(i))}}, in Rd+2, d >= 1, respectively, where parallel to.parallel to is the Euclidean norm in R-d, y(1), y(2) >= -1, and f(i) are regularly varying at infinity. Let tau(Dmax) and tau(Dmin) denote the first times the Brownian motion exits from D-max and D-min. Estimates with exact constants for the asymptotics of log P(tau(Dmax) > t) and log P(tau(Dmin) > t) are given as t -> infinity, depending on the relationship between f(1) and f(2), respectively. The proof methods are based on Gordon's inequality and early works of Li, Lifshits, and Shi in the single general domain case.
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页码:3848 / 3865
页数:18
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