## Abstract

In this article, we present an Lp-theory (p ≥ 2) for the semi-linear stochastic partial differential equations (SPDEs) of type ∂ _{t} ^{α} u = L(ω,t,x)u +f (u)+∂ _{t} ^{β} ∞ ∑ k=1 ∫ _{0} ^{t} (∧^{k} (ω,t,x)u +g^{k}(u))dw _{t} ^{k}, where α ∈ (0, 2), β < α + 1/2 and ∂ _{t} ^{α} and ∂ _{t} ^{β} denote the Caputo derivatives of order α and β, respectively. The processes w _{t} ^{k}, k ∈ N = 1, 2, . . ., are independent one-dimensional Wiener processes, L is either divergence or nondivergence-type second-order operator, and ∧^{k} are linear operators of order up to two. This class of SPDEs can be used to describe random effects on transport of particles in medium with thermal memory or particles subject to sticking and trapping. We prove uniqueness and existence results of strong solutions in appropriate Sobolev spaces, and obtain maximal L_{p}-regularity of the solutions. By converting SPDEs driven by d-dimensional space-time white noise into the equations of above type, we also obtain an L_{p}-theory for SPDEs driven by space-time white noise if the space dimensiond < 4-2(2β ^{-1})α^{-1}. In particular, if β < 1/2 + α/4 then we can handle space-time white noise driven SPDEs with space dimension d = 1,2,3.

Original language | English |
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Pages (from-to) | 2087-2139 |

Number of pages | 53 |

Journal | Annals of Probability |

Volume | 47 |

Issue number | 4 |

DOIs | |

Publication status | Published - 2019 Jan 1 |

## Keywords

- Maximal Lp-regularity
- Multidimensional space-time white noise
- Stochastic partial differential equations
- Time fractional derivatives

## ASJC Scopus subject areas

- Statistics and Probability
- Statistics, Probability and Uncertainty