NANAPRFeb 25, 2010

Convergence rates of the splitting scheme for parabolic linear stochastic Cauchy problems

arXiv:0906.212931 citations
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Provides theoretical convergence guarantees for numerical solutions of parabolic stochastic PDEs, relevant to researchers in stochastic analysis and numerical methods.

The paper proves convergence rates for a splitting scheme applied to linear stochastic Cauchy problems with an analytic semigroup generator, showing convergence in Hölder spaces with rate 1/n^þ under specific parameter conditions.

We study the splitting scheme associated with the linear stochastic Cauchy problem dU(t) = AU(t) dt + dW(t), where A is the generator of an analytic C_0-semigroup S={S(t)} on a Banach space E and W={W(t)} is a Brownian motion with values in a fractional domain space E_\b associated with A. We prove that if \a,\b,\g,þ\ge 0 are such that \g + þ< 1 and max[0,(\a-\b+þ)] + \g < 1/2, then the approximate solutions U_n (where n is the number of time steps) converge to the solution U in the Holder space C^\g([0,T];E_\a), both in L^p-means and almost surely, with rate 1/n^þ.

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