Invariant Sample Measures for Non-autonomous Stochastic Non-local Discrete p-Laplacian Equations with Time Varying Delay and Multiplicative Noises

IF 1.7 2区 数学 Q2 MATHEMATICS, APPLIED Applied Mathematics and Optimization Pub Date : 2025-04-05 DOI:10.1007/s00245-025-10254-6
Wenqiang Zhao, Xia Liu
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Abstract

In this article, a class of non-local stochastic lattice models with fractional powers of the discrete p-Laplacian, incorporating time-varying-distributed delay as well as multiplicative noises at each node, are propounded. First, by utilizing an existence theorem of solutions for infinite ordinary differential equations, we prove the well-posedness of the stochastic equations, whose solution operator admits an NRDS. Besides, the tempered random attractor is constructed for this NRDS. Finally, with the identical conditions, we prove that the solution is jointly continuous in initial time and initial data, and eventually, a family of invariant sample Borel probability measures supported in the random attractors are established in a Banach space (not a Hilbert space) for the corresponding NRDS.

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具有时变延迟和乘法噪声的非自治随机非局部离散 p-Laplacian 方程的不变抽样量纲
本文提出了一类具有离散p-拉普拉斯函数分数阶幂的非局部随机格模型,该模型考虑了时变分布延迟和每个节点处的乘性噪声。首先,利用无穷常微分方程解的存在性定理,证明了解算子允许NRDS的随机方程的适定性。此外,还构造了该NRDS的调质随机吸引子。最后,在相同的条件下,我们证明了该解在初始时间和初始数据上是联合连续的,并最终在Banach空间(不是Hilbert空间)上建立了相应NRDS的随机吸引子支持的不变样本Borel概率测度族。
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来源期刊
CiteScore
3.30
自引率
5.60%
发文量
103
审稿时长
>12 weeks
期刊介绍: The Applied Mathematics and Optimization Journal covers a broad range of mathematical methods in particular those that bridge with optimization and have some connection with applications. Core topics include calculus of variations, partial differential equations, stochastic control, optimization of deterministic or stochastic systems in discrete or continuous time, homogenization, control theory, mean field games, dynamic games and optimal transport. Algorithmic, data analytic, machine learning and numerical methods which support the modeling and analysis of optimization problems are encouraged. Of great interest are papers which show some novel idea in either the theory or model which include some connection with potential applications in science and engineering.
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