In this paper we develop an $L_2$-theory for stochastic partial differential
equations driven by L\'evy processes.
The coefficients of the equations are random functions depending on time and
space variables, and no smoothness assumption of the coefficients is assumed.
In this paper we present an $L^p$-theory for the stochastic partial
differential equations (SPDEs in abbreciation) driven by L\'e{}vy processes.
Existence and uniqueness of solutions in Sobolev spaces are obtained. The
coefficients of SPDEs under consideration are random functions depending on
time and space variables.
We prove a parabolic version of the Littlewood-Paley inequality for the
fractional Laplacian $(-\Delta)^{\alpha/2}$, where $\alpha\in (0,2)$.