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approximation for the solutions of stochastic differential equations. iii. jointly weak convergence
Abstract:We give sufficient conditions for a family Z, e > 0 of continuous finite variation processes to converge weakly to a diffusion process Z. Then we consider the integral equation dXE(t) = (l)(Xe(t))dZE{t) and the stochastic equation dX{i) = (j)(X{t))dZ{t) and denote by X(t,x,w respectively X{t,x,(jo), the solution starting at x. We prove that PoX~l, e>0 converge weakly to Pol
Keywords:Stochastic differential equations  martingale problem  numeric characteristics  jointly weak approximation
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