The time fractional stochastic partial differential equations with non-local operator on $\mathbb{R}^{d}$

TL;DR

This paper develops a comprehensive theory for well-posedness and regularity of time-fractional stochastic PDEs with nonlocal spatial operators driven by mixed Wiener--Lévy noises, extending existing models to include both time-space nonlocality and jump processes.

Contribution

It introduces a unified framework for analyzing time-fractional SPDEs with nonlocal operators and jump noise, providing new existence, uniqueness, and regularity results.

Findings

Proved existence and regularity of solutions in $oldsymbol{ ext{phi}}$-Sobolev spaces.

Established local mild solutions for low-regularity cases with pure-jump Lévy noise.

Derived a dimensional constraint for cylindrical Wiener noise case.

Abstract

This paper establishes a comprehensive well-posedness and regularity theory for time-fractional stochastic partial differential equations on $\mathbb{R}^d$ driven by mixed Wiener--L\'evy noises. The equations feature a Caputo time derivative $\partial_t^\alpha$ ($0<\alpha<1$) and a spatial nonlocal operator $\phi(\Delta)$ generated by a subordinate Brownian motion, leading to a doubly nonlocal structure. For the case $p \ge 2$, we prove the existence, uniqueness, and sharp Sobolev regularity of weak solutions in the scale of $\phi$-Sobolev spaces $\mathcal{H}_p^{\phi,\gamma+2}(T)$. Our approach combines harmonic analysis techniques (Fefferman--Stein theorem, Littlewood--Paley theory) with stochastic analysis to handle the combined Wiener and L\'evy noise terms. In the special case of cylindrical Wiener noise, a dimensional constraint $d < 2\kappa_0\bigl(2 - (2\sigma_2 - 2/p)_+/\alpha\bigr)$ is obtained.~For the low-regularity case $1 \le p \le 2$, where maximal function estimates fail, we construct unique local mild solutions in $L_p(\mathbb{R}^d)$ for equations driven by pure-jump L\'evy space-time white noise, using stochastic truncation and fixed-point arguments. The results unify and extend previous theories by simultaneously incorporating time-space nonlocality and jump-type randomness.