Pullback measure attractors for nonautonomous stochastic lattice reversible Selkov systems

This paper is dedicated to studying pullback measure attractors for nonautonomous stochastic lattice reversible Selkov systems driven by nonlinear noise. We first give the existence and uniqueness of solutions for this nonautonomous stochastic lattice reversible Selkov system. Next, we demonstrate the existence and uniqueness of pullback measure attractors for such a nonautonomous dynamical system generated by the solution operator. Finally, we prove the upper semicontinuity of pullback measure attractors with respect to the intensity of noise. In particular, the tail-estimate technique is employed to show the pullback asymptotic compactness of the family of solution distributions.