Publication: A technique for studying strong and weak local errors of splitting stochastic integrators
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2016-11-10
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Society for Industrial and Applied Mathematics (SIAM)
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Abstract
We present a technique, based on so-called word series, to write down in a systematic way expansions of the strong and weak local errors of splitting algorithms for the integration of Stratonovich stochastic differential equations. Those expansions immediately lead to the corresponding order conditions. Word series are similar to, but simpler than, the B-series used to analyze Runge-Kutta and other one-step integrators. The suggested approach makes it unnecessary to use the Baker-Campbell-Hausdorff formula. As an application, we compare two splitting algorithms recently considered by Leimkuhler and Matthews to integrate the Langevin equations. The word series method clearly bears out reasons for the advantages of one algorithm over the other.
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Stochastic differential equations, Splitting algorithms, Langevin equations, Word series, Numerical-integration, Formal series, Order conditions, B-series, Invariants, Algebra
Bibliographic citation
Alamo, A. & Sanz-Serna, J. M. (2016). A Technique for Studying Strong and Weak Local Errors of Splitting Stochastic Integrators. SIAM Journal on Numerical Analysis, 54(6), 3239–3257.