摘要
本文研究一维几何布朗运动逃逸概率的计算问题.利用Skorokhod对于随机微分方程解的离散逼近方面的研究成果,构造了一列离散马氏链,使其依分布收敛于几何布朗运动,进而利用离散马氏链的逃逸概率得到几何布朗运动逃逸概率的逼近.
This work is devoted to calculate the boundary crossing probability of one-dimensional Geometric Brownian motion. Under the help of the Skorokhod approximation to the solutions of stochastic differential equations,we construct a sequence of Markov chains,which converge in distribution to Geometric Brownian motion,so that the absorption probability of these Markov chains approximates the first passage probability for the given Geometric Brownian motion.
出处
《山西师范大学学报(自然科学版)》
2016年第2期23-28,共6页
Journal of Shanxi Normal University(Natural Science Edition)
基金
山西省自然科学基金项目(2013011002-1)
关键词
逃逸概率
几何布朗运动
Skorokhod逼近
boundary crossing probability
geometric brownian motion
Skorokhod approximation