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      Low Mach Number Fluctuating Hydrodynamics of Diffusively Mixing Fluids

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          Abstract

          We formulate low Mach number fluctuating hydrodynamic equations appropriate for modeling diffusive mixing in isothermal mixtures of fluids with different density and transport coefficients. These equations eliminate the fluctuations in pressure associated with the propagation of sound waves by replacing the equation of state with a local thermodynamic constraint. We demonstrate that the low Mach number model preserves the spatio-temporal spectrum of the slower diffusive fluctuations. We develop a strictly conservative finite-volume spatial discretization of the low Mach number fluctuating equations in both two and three dimensions and construct several explicit Runge-Kutta temporal integrators that strictly maintain the equation of state constraint. The resulting spatio-temporal discretization is second-order accurate deterministically and maintains fluctuation-dissipation balance in the linearized stochastic equations. We apply our algorithms to model the development of giant concentration fluctuations in the presence of concentration gradients, and investigate the validity of common simplifications such as neglecting the spatial non-homogeneity of density and transport properties. We perform simulations of diffusive mixing of two fluids of different densities in two dimensions and compare the results of low Mach number continuum simulations to hard-disk molecular dynamics simulations. Excellent agreement is observed between the particle and continuum simulations of giant fluctuations during time-dependent diffusive mixing.

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          Cellular motions and thermal fluctuations: the Brownian ratchet.

          We present here a model for how chemical reactions generate protrusive forces by rectifying Brownian motion. This sort of energy transduction drives a number of intracellular processes, including filopodial protrusion, propulsion of the bacterium Listeria, and protein translocation.
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            Quasi-incompressible Cahn-Hilliard fluids and topological transitions

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              THE FUNDAMENTAL PRINCIPLES OF STATISTICAL PHYSICS

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                Author and article information

                Journal
                2012-12-11
                2014-04-29
                Article
                10.2140/camcos.2014.9.47
                1212.2644
                79d6f249-d620-445c-8c82-f96335b1676a

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Commun. Appl. Math. Comput. Sci. 9 (2014) 47-105
                Submitted to CAMCOS
                math.NA math-ph math.MP physics.flu-dyn

                Mathematical physics,Numerical & Computational mathematics,Mathematical & Computational physics,Thermal physics & Statistical mechanics

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