The Mathematical Procedure of Coarse Graining: From Grad's Ten-Moment Equations to Hydrodynamics

We employ systematic coarse graining techniques to derive hydrodynamic equations from Grad’s ten‐moment equations. The coarse graining procedure is designed such that it manifestly preserves the thermodynamic structure of the equations. The relevant thermodynamic structure and the coarse graining recipes suggested by statistical mechanics are described in detail and are illustrated by the example of hydrodynamics. A number of mathematical challenges associated with structure‐preserving coarse graining of evolution equations for thermodynamic systems as a generalization of Hamiltonian dynamic systems are presented. Coarse graining is a key step that should always be considered before attempting to solve an equation.

[1]  Allan N. Kaufman,et al.  DISSIPATIVE HAMILTONIAN SYSTEMS: A UNIFYING PRINCIPLE , 1984 .

[2]  Edward Nelson Dynamical Theories of Brownian Motion , 1967 .

[3]  J. Marsden,et al.  Discrete mechanics and variational integrators , 2001, Acta Numerica.

[4]  Alexander N Gorban,et al.  Ehrenfest's argument extended to a formalism of nonequilibrium thermodynamics. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[5]  H. Brenner Navier–Stokes revisited , 2005 .

[6]  P. Español Coarse graining from coarse-grained descriptions , 2002, Philosophical Transactions of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[7]  Philip J. Morrison,et al.  A paradigm for jointed Hamiltonian and dissipative systems , 1986 .

[8]  Miroslav Grmela,et al.  Bracket formulation of dissipative fluid mechanics equations , 1984 .

[9]  H. Ch. Öttinger,et al.  Beyond Equilibrium Thermodynamics , 2005 .

[10]  Howard Brenner,et al.  Kinematics of volume transport , 2005 .

[11]  Irene Dorfman,et al.  Dirac Structures and Integrability of Nonlinear Evolution Equations , 1993 .

[12]  H. C. Ottinger Nonequilibrium thermodynamics for open systems. , 2006, Physical review. E, Statistical, nonlinear, and soft matter physics.

[13]  H. Grad Principles of the Kinetic Theory of Gases , 1958 .

[14]  Patrick Ilg,et al.  Corrections and Enhancements of Quasi-Equilibrium States , 2001 .

[15]  Miroslav Grmela,et al.  Dynamics and thermodynamics of complex fluids. II. Illustrations of a general formalism , 1997 .

[16]  Miroslav Grmela,et al.  Dynamics and thermodynamics of complex fluids. I. Development of a general formalism , 1997 .

[17]  Philip J. Morrison,et al.  Bracket formulation for irreversible classical fields , 1984 .

[18]  J. Zabczyk,et al.  Stochastic Equations in Infinite Dimensions , 2008 .

[19]  W. Kyner,et al.  Lectures on Hamiltonian systems . Rigorous and formal stability of orbits about an oblate planet , 1968 .

[20]  J. Marsden,et al.  Introduction to mechanics and symmetry , 1994 .

[21]  J. M. Sanz-Serna,et al.  Numerical Hamiltonian Problems , 1994 .

[22]  H. Brenner Is the tracer velocity of a fluid continuum equal to its mass velocity? , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[23]  Hans Christian Öttinger,et al.  General projection operator formalism for the dynamics and thermodynamics of complex fluids , 1998 .

[24]  H. Grabert,et al.  Projection Operator Techniques in Nonequilibrium Statistical Mechanics , 1982 .

[25]  H. Struchtrup Macroscopic transport equations for rarefied gas flows , 2005 .

[26]  James D. Meiss,et al.  Stochastic dynamical systems , 1994 .

[27]  H. C. Öttinger A Stochastic Process Behind Boltzmann’s Kinetic Equation and Issues of Coarse Graining , 2006 .

[28]  C. David Levermore,et al.  The Gaussian Moment Closure for Gas Dynamics , 1998, SIAM J. Appl. Math..