Asymptotic Problems for Stochastic Processes and Related Differential Equations. (Paperback)

It is well known that solutions of classical initial-boundary problems for second order parabolic equations depend continuously on the coefficients if the coefficients converge to their limits in a strong enough topology. In case of one spatial variable, we consider the question of the weakest possible topology providing convergence of the solutions. Convergence of solutions of PDE's is equivalent to weak convergence of corresponding diffusion processes. In general, continuous Markov processes corresponding to the generalized second order differential operators introduced by W. Feller can appear as limiting processes. In other words, the infinitesimal generator of limiting processes need not be a classical second order elliptic differential operator but instead can be a generalized in the sense of W. Feller 7]. Following Freidlin and Wentzell's paper 14], where processes in open intervals were considered, we study the necessary and sufficient conditions for the weak convergence of one dimensional Markov processes in closed intervals. We provide conditions that guarantee the convergence of solutions of initial-boundary value problems for parabolic equations. Furthermore, necessary and sufficient conditions of weak convergence can be easily verified. In a number of articles, it was proved that the solution of reaction diffusion equations with a certain nonlinearity term is close for large t to a running wave solution. However, in general, one cannot always give a simple formula for the asymptotic speed as was done in the Kolmogorov, Petrovskii and Piskunov (KPP) case in R1. We apply our results to wave front propagation in narrow, of width epsilon