Variational Integrators and Generating Functions for Stochastic Hamiltonian Systems

In this work, the stochastic version of the variational principle is established, important for stochastic symplectic integration, and for structure-preserving algorithms of stochastic dynamical systems. Based on it, the stochastic variational integrators in formulation of stochastic Lagrangian func...

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Main Author: Wang, Lijin (auth)
Format: Electronic Book Chapter
Language:English
Published: KIT Scientific Publishing 2007
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DOAB: description of the publication
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245 1 0 |a Variational Integrators and Generating Functions for Stochastic Hamiltonian Systems 
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520 |a In this work, the stochastic version of the variational principle is established, important for stochastic symplectic integration, and for structure-preserving algorithms of stochastic dynamical systems. Based on it, the stochastic variational integrators in formulation of stochastic Lagrangian functions are proposed, and some applications to symplectic integrations are given. Three types of generating functions in the cases of one and two noises are discussed for constructing new schemes. 
540 |a Creative Commons  |f https://creativecommons.org/licenses/by-nc-nd/4.0/  |2 cc  |4 https://creativecommons.org/licenses/by-nc-nd/4.0/ 
546 |a English 
653 |a Weißes Rauschen 
653 |a Variationsprinzip 
653 |a Hamilton-Jacobi-Differentialgleichung 
653 |a Stochastische Differentialgleichung 
653 |a Hamilton-Gleichungen 
653 |a Hamiltonsches System 
653 |a Symplektische Abbildung 
653 |a Numerische Mathematik 
653 |a Symplektische Matrix 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/61865  |7 0  |z DOAB: description of the publication