Central limit theorem for Burgers equation

Suppose the potential of the initial field of the Cauchy problem for the Burgers equation is a homogeneous mean-square continuous Gaussian random field. We show that the correlation function of this field is summable absolutely or its square is summable. Then in the limit $t\to\infty$ the field of solutions of the original equation tends in its distribution to a Gaussian random vector field.