Hitting properties of generalized fractional kinetic equation with time-fractional noise

IF 1.4 3区 数学 Q2 MATHEMATICS, APPLIED
Derui Sheng, Tau Zhou
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引用次数: 1

Abstract

This paper investigates the hitting properties of a system of generalized fractional kinetic equations driven by Gaussian noise that is fractional in time and either white or colored in space. The considered model encompasses various examples such as the stochastic heat equation and the stochastic biharmonic heat equation. Under relatively general conditions, we derive the mean square modulus of continuity and explore certain second order properties of the solution. These are then utilized to deduce lower and upper bounds for probabilities that the path process hits bounded Borel sets in terms of the \(\mathfrak {g}_q\)-capacity and \(g_q\)-Hausdorff measure, respectively, which reveal the critical dimension for hitting points. Furthermore, by introducing the harmonizable representation of the solution and utilizing it to construct a family of approximating random fields which have certain smoothness properties, we prove that all points are polar in the critical dimension. This provides a compelling evidence supporting the conjecture raised in Hinojosa-Calleja and Sanz-Solé (Stoch Part Differ Equ Anal Comput 10(3):735–756, 2022. https://doi.org/10.1007/s40072-021-00234-6).

带有时间分数噪声的广义分数动力学方程的命中特性
本文研究了由高斯噪声驱动的广义分数动力学方程系统的击打特性,高斯噪声在时间上是分数的,在空间上是白色或彩色的。所考虑的模型包括各种实例,如随机热方程和随机双谐波热方程。在相对一般的条件下,我们推导出了连续性的均方模量,并探讨了解的某些二阶性质。然后,我们利用这些性质分别以 \(\mathfrak {g}_q\)-capacity 和 \(g_q\)-Hausdorff 度量推导出路径过程命中有界 Borel 集的概率下限和上限,从而揭示了命中点的临界维度。此外,通过引入解的可调和表示,并利用它来构造具有一定平稳性的近似随机场族,我们证明了所有点在临界维度上都是极性的。这为支持 Hinojosa-Calleja 和 Sanz-Solé 提出的猜想提供了有力证据(Stoch Part Differ Equ Anal Comput 10(3):735-756, 2022. https://doi.org/10.1007/s40072-021-00234-6)。
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来源期刊
CiteScore
2.70
自引率
13.30%
发文量
54
期刊介绍: Stochastics and Partial Differential Equations: Analysis and Computations publishes the highest quality articles presenting significantly new and important developments in the SPDE theory and applications. SPDE is an active interdisciplinary area at the crossroads of stochastic anaylsis, partial differential equations and scientific computing. Statistical physics, fluid dynamics, financial modeling, nonlinear filtering, super-processes, continuum physics and, recently, uncertainty quantification are important contributors to and major users of the theory and practice of SPDEs. The journal is promoting synergetic activities between the SPDE theory, applications, and related large scale computations. The journal also welcomes high quality articles in fields strongly connected to SPDE such as stochastic differential equations in infinite-dimensional state spaces or probabilistic approaches to solving deterministic PDEs.
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