On rates of convergence of stochastic relaxation for Gaussian and non-Gaussian distributions

We obtain rates of convergence of stochastic relaxation (heat bath algorithm) for continuous densities which have the form of bounded perturbations of Gaussian densities. The rates are calculated in the spaces of square integrable functions with respect to these desities in which the operator generated by the stochastic relaxation process has the form of a product of projections.