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We apply the stochastic variational method to the action of the ideal fluid and showed that the Navier-Stokes equation is derived. In this variational method, the effect of dissipation is realized as the direct consequence of the…

Statistical Mechanics · Physics 2011-11-28 T. Koide

The work described here shows that the known variational principle for the Navier-Stokes equations and the adjoint system can be modified to produce a set of Euler-Lagrange variational equations which have the same order and same solution…

Analysis of PDEs · Mathematics 2017-05-04 Shahrdad G. Sajjadi

We show that the Navier-Stokes as well as a random perturbation of this equation can be derived from a stochastic variational principle where the pressure is introduced as a Lagrange multiplier. Moreover we describe how to obtain…

Analysis of PDEs · Mathematics 2019-03-19 Ana Bela Cruzeiro

Relativistic Navier-Stokes equations express the conservation of the energy-momentum tensor and the particle number current in terms of the local hydrodynamic variables: temperature, fluid velocity, and the chemical potential. We show that…

High Energy Physics - Theory · Physics 2020-06-12 Raphael E. Hoult , Pavel Kovtun

Most researches on fluid dynamics are mostly dedicated to obtain the solutions of Navier-Stokes equation which governs fluid flow with particular boundary conditions and approximations. We propose an alternative approach to deal with fluid…

Fluid Dynamics · Physics 2007-05-23 A. Sulaiman , L. T. Handoko

We show for the first time that the stochastic variational method can naturally derive the Navier-Stokes equation starting from the action of ideal fluid. In the frame work of the stochastic variational method, the dynamical variables are…

Statistical Mechanics · Physics 2012-06-18 T. Koide , T. Kodama

The variational principle for the special and general relativistic hydrodynamics are discussed in view of its application to obtain approximate solutions to these problems. We show that effective Lagrangians can be obtained for suitable…

High Energy Physics - Phenomenology · Physics 2016-08-15 Hans-Thomas Elze , Yogiro Hama , Takeshi Kodama , Martín Makler , Johann Rafelski

Recent theoretical work has developed the Hamilton's-principle analog of Lie-Poisson Hamiltonian systems defined on semidirect products. The main theoretical results are twofold: (1) Euler-Poincar\'e equations (the Lagrangian analog of…

chao-dyn · Physics 2007-05-23 Darryl D. Holm , Jerrold E. Marsden , Tudor S. Ratiu

Variational formulations for viscous flows which lead to the Navier-Stokes equation are examined. Since viscosity leads to dissipation and, therefore, to the irreversible transfer of mechanical energy to heat, thermal degrees of freedom…

Fluid Dynamics · Physics 2023-04-06 Sylvio R. Bistafa

Hamiltonian particle systems may exhibit non-linear hydrodynamic phenomena as the time evolution of the density fields of energy, momentum, and mass. In this Letter, an exact equation describing the time evolution is derived assuming the…

Statistical Mechanics · Physics 2014-03-18 Shin-ichi Sasa

We prove a variational principle for stochastic Lagrangian Navier-Stokes trajectories on manifolds. We study the behaviour of such trajectories concerning stability as well as rotation between particles; the two-dimensional torus case is…

Probability · Mathematics 2010-05-02 Marc Arnaudon , Ana Bela Cruzeiro

In this article we study the fractal Navier-Stokes equations by using stochastic Lagrangian particle path approach in Constantin and Iyer \cite{Co-Iy}. More precisely, a stochastic representation for the fractal Navier-Stokes equations is…

Probability · Mathematics 2015-05-27 Xicheng Zhang

In this paper we derive a representation of the deterministic 3-dimensional Navier-Stokes equations based on stochastic Lagrangian paths. The particle trajectories obey SDEs driven by a uniform Wiener process; the inviscid Weber formula for…

Probability · Mathematics 2010-03-16 Peter Constantin , Gautam Iyer

Prior mathematical work of Constantin and Iyer (2008, 2011) has shown that incompressible Navier-Stokes solutions possess infinitely-many stochastic Lagrangian conservation laws for vorticity, backward in time, which generalize the…

Fluid Dynamics · Physics 2019-12-17 Gregory L. Eyink , Akshat Gupta , Tamer Zaki

This paper derives stochastic partial differential equations (SPDEs) for fluid dynamics from a stochastic variational principle (SVP). The Legendre transform of the Lagrangian formulation of these SPDEs yields their Lie-Poisson Hamiltonian…

Mathematical Physics · Physics 2015-08-19 Darryl D. Holm

Smooth solutions of the incompressible Euler equations are characterized by the property that circulation around material loops is conserved. This is the Kelvin theorem. Likewise, smooth solutions of Navier-Stokes are characterized by a…

Analysis of PDEs · Mathematics 2020-12-09 Theodore D. Drivas , Darryl D Holm

The stochastic variational method is applied to particle systems and continuum mediums. As the brief review of this method, we first discuss the application to particle Lagrangians and derive a diffusion-type equation and the…

Statistical Mechanics · Physics 2013-05-24 T. Koide , T. Kodama

We show that a Galilean invariant version of fluid dynamics can be derived by the methods of statistical dynamics using Maxwell's balance equations. The basic equation is non-local, and might replace Boltzmann's equation if the latter turns…

Mathematical Physics · Physics 2007-05-23 R. F. Streater

In {\em{Holm}, Proc. Roy. Soc. A 471 (2015)} stochastic fluid equations were derived by employing a variational principle with an assumed stochastic Lagrangian particle dynamics. Here we show that the same stochastic Lagrangian dynamics…

Analysis of PDEs · Mathematics 2017-10-25 Colin J Cotter , Georg A Gottwald , Darryl D Holm

This work presents an approach to the Navier-Stokes equations that is phrased in unbiased Eulerian coordinates, yet describes objects that have Lagrangian significance: particle paths, their dispersion and diffusion. The commutator between…

Analysis of PDEs · Mathematics 2009-10-31 P. Constantin
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