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Semi-martingale driven variational principles

O. D. Street, D. Crisan

2021Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences32 citationsDOIOpen Access PDF

Abstract

Spearheaded by the recent efforts to derive stochastic geophysical fluid dynamics models, we present a general framework for introducing stochasticity into variational principles through the concept of a semi-martingale driven variational principle and constraining the component variables to be compatible with the driving semi-martingale. Within this framework and the corresponding choice of constraints, the Euler–Poincaré equation can be easily deduced. We show that the deterministic theory is a special case of this class of stochastic variational principles. Moreover, this is a natural framework that enables us to correctly characterize the pressure term in incompressible stochastic fluid models. Other general constraints can also be incorporated as long as they are compatible with the driving semi-martingale.

Topics & Concepts

Variational principleLuke's variational principleClass (philosophy)Term (time)CompressibilityApplied mathematicsComponent (thermodynamics)MathematicsStatistical physicsStochastic processMathematical optimizationHamilton's principleCalculus of variationsVariational analysisVariational methodNatural (archaeology)Classical mechanicsStochastic modellingComputer scienceCalculus (dental)Stochastic calculusGeophysical fluid dynamicsMathematical economicsIncompressible flowContinuous-time stochastic processNavier-Stokes equation solutionsStochastic processes and financial applicationsFluid Dynamics and Turbulent Flows
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