分数阶布朗运动驱动的随机演化方程p均值拟概周期解的存在性和全局吸引性

M. Diop, K. Ezzinbi, M. Mbaye
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引用次数: 41

摘要

本文利用测度理论建立了p均值意义上的伪概周期过程的新概念。利用μ-遍历过程定义了μ-伪概周期过程在p-均值意义上的空间。我们在完备性定理和复合定理等过程的泛函空间上建立了许多有趣的结果。本文的主要目的是利用这些结果和一些随机分析方法,研究一类分数阶布朗运动驱动的抽象随机进化方程的μ-伪概周期温和解的存在性、唯一性和全局吸引性。我们提供了一个例子来说明我们的结果。
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Existence and global attractiveness of a pseudo almost periodic solution in p-th mean sense for stochastic evolution equation driven by a fractional Brownian motion
In this work, we establish a new concept of pseudo almost periodic processes in p-th mean sense using the measure theory. We use the μ-ergodic process to define the spaces of μ-pseudo almost periodic process in the p-th mean sense. We establish many interesting results on the functional space of such processes like completeness and composition theorems. The main objective of this paper is to use those results and some stochastic analysis approaches to study the existence, the uniqueness and the global attractiveness for a μ-pseudo almost periodic mild solution to a class of abstract stochastic evolution equations driven by fractional Brownian motion. We provide an example to illustrate our results.
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来源期刊
CiteScore
1.90
自引率
0.00%
发文量
42
审稿时长
>12 weeks
期刊介绍: Stochastics: An International Journal of Probability and Stochastic Processes is a world-leading journal publishing research concerned with stochastic processes and their applications in the modelling, analysis and optimization of stochastic systems, i.e. processes characterized both by temporal or spatial evolution and by the presence of random effects. Articles are published dealing with all aspects of stochastic systems analysis, characterization problems, stochastic modelling and identification, optimization, filtering and control and with related questions in the theory of stochastic processes. The journal also solicits papers dealing with significant applications of stochastic process theory to problems in engineering systems, the physical and life sciences, economics and other areas. Proposals for special issues in cutting-edge areas are welcome and should be directed to the Editor-in-Chief who will review accordingly. In recent years there has been a growing interaction between current research in probability theory and problems in stochastic systems. The objective of Stochastics is to encourage this trend, promoting an awareness of the latest theoretical developments on the one hand and of mathematical problems arising in applications on the other.
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