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High-Order Symplectic Schemes for Stochastic Hamiltonian Systems

High-Order Symplectic Schemes for Stochastic Hamiltonian Systems
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Year:    2014

Communications in Computational Physics, Vol. 16 (2014), Iss. 1 : pp. 169–200

Abstract

The construction of symplectic numerical schemes for stochastic Hamiltonian systems is studied. An approach based on generating functions method is proposed to generate the stochastic symplectic integration of any desired order. In general, the proposed symplectic schemes are fully implicit, and they become computationally expensive for mean square orders greater than two. However, for stochastic Hamiltonian systems preserving Hamiltonian functions, the high-order symplectic methods have simpler forms than the explicit Taylor expansion schemes. A theoretical analysis of the convergence and numerical simulations are reported for several symplectic integrators. The numerical case studies confirm that the symplectic methods are efficient computational tools for long-term simulations.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/10.4208/cicp.311012.191113a

Communications in Computational Physics, Vol. 16 (2014), Iss. 1 : pp. 169–200

Published online:    2014-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    32

Keywords:   

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