数学
随机微分方程
几何布朗运动
布朗运动
独特性
分数布朗运动
扩散过程
数学分析
布朗漂移
统计
知识管理
创新扩散
计算机科学
作者
Yongkun Li,Zhicong Bai
摘要
In this paper, we are concerned with a stochastic semilinear differential equations driven by both Brownian motion and fractional Brownian motion. Firstly, we establish an inequality for the distance between finite‐dimensional distributions of a random process at two different moments. Then, using the properties of stochastic integrals, fixed point theorems, and based on this inequality, we establish the existence and uniqueness of Besicovich almost automorphic solutions in finite‐dimensional distributions for this type of semilinear equation. Finally, we provide an example to demonstrate the effectiveness of our results. Our results are new to stochastic differential equations driven by Brownian motion or stochastic differential equations driven by fractional Brownian motion.
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