چکیده (انگلیسی):

In this paper we prove the convergence of stochastic Navier-Stokes equations driven by white noise. A linearized version of the implicit Crank-Nicolson scheme is considered for the approximation of the solutions to the N-S equations. The noise is defined as the distributional derivative of a Wiener process and approximated by using the generalized L2-projection operator. Optimal strong convergence error estimates in the L2 norm are obtained.