Stochastic maximal Lp-regularity for non-autonomous evolution equations with fractional derivative in UMD spaces
Abstract
This paper is concerned with the maximal regularity theory for non-autonomous stochastic evolution equations with a generalized fractional derivative in UMD spaces. The generalized time-fractional derivative provides a unified framework covering both the classical Riemann-Liouville and Caputo fractional derivatives, which accommodates a wider class of anomalous diffusion processes with intermediate memory effects. Based on the singularities of the initial term and the stochastic convolution kernel, a time-weighted space and a regular-singular decomposition are used to obtain the well-posedness, space-time regularity, and stochastic maximal Lp-regularity results. Our results are applied to non-autonomous stochastic diffusion equation and stochastic fractional reaction-diffusion SIR model.
Related
- Weyl Pseudo Almost Periodic Type Solutions to Semilinear Stochastic Evolution Equations Driven by Fractional Brownian Motion
- A Numerical Analysis for Solving the Time-Fractional Cattaneo Model Involving the Riesz Space-Fractional Derivative
- Stabilization of a degenerate beam on an elastic foundation with axial force under fractional derivative-type delayed boundary feedback
- Sharp Holder regularity for autonomous Beltrami equations
- Asymptotic behavior of bounded Mild Solutions to some fractional differential equations involving the ψ-Hilfer derivative
BibTeX
@misc{tao2026stochastic,
title = {{Stochastic maximal $L^p$-regularity for non-autonomous evolution equations with fractional derivative in UMD spaces}},
author = {Lu Lu Tao and Jia Wei He},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.32417},
eprint = {2609.32417},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.32417},
}
RIS
TY - UNPB
TI - Stochastic maximal L^p-regularity for non-autonomous evolution equations with fractional derivative in UMD spaces
AU - Lu Lu Tao
AU - Jia Wei He
PY - 2026
DA - 2026/09/26
PB - arXiv
DO - 10.48550/arxiv.2609.32417
UR - https://arxiv.org/abs/2609.32417
AB - This paper is concerned with the maximal regularity theory for non-autonomous stochastic evolution equations with a generalized fractional derivative in UMD spaces. The generalized time-fractional derivative provides a unified framework covering both the classical Riemann-Liouville and Caputo fractional derivatives, which accommodates a wider class of anomalous diffusion processes with intermediate memory effects. Based on the singularities of the initial term and the stochastic convolution kernel, a time-weighted space and a regular-singular decomposition are used to obtain the well-posedness, space-time regularity, and stochastic maximal L^p-regularity results. Our results are applied to non-autonomous stochastic diffusion equation and stochastic fractional reaction-diffusion SIR model.
ER -