摘要
斜扩散过程是一类特殊的扩散过程,它所满足的随机微分方程中含有局部时项.由于这类过程具有特殊的路径性质,使得它在物理和生物等领域有着广泛的应用.本文先从斜Brown运动出发,概括总结了斜Brown运动的两种构造方式、离散逼近形式和联合概率分布.在斜Brown运动的基础上,本文给出斜Ornstein-Uhlenbeck (OU)过程和斜分支过程的定义,并展示了它们的诸如转移密度、首达时分布等概率性质.最后介绍了斜扩散过程的一些应用.
The skew diffusion process is a special diffusion process. The stochastic differential equation expression of such a special process contains the symmetric local time. Due to its special property, this model is widely used in physics and biology. Starting from skew Brownian motion, this work summaries its two constructions:discrete approximation and jointly probability distribution. Based on the skew Brownian motion, we provide the definitions for the skew Ornstein-Uhlenbeck(OU) process and skew branching process, and derive their properties:transition density, first hitting time, etc. We also introduce some applications under the skew diffusion processes.
引文
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