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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Detaylı Bibliyografya
Yazar: Wang, Lijin
Materyal Türü: Online
Dil:İngilizce
Baskı/Yayın Bilgisi: KIT Scientific Publishing 2021
Konular:
Online Erişim:34605
Etiketler: Etiketle
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Diğer Bilgiler
Özet: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.