An equilibrium-preserving discretization for the nonlinear Rosenbluth-Fokker-Planck operator in arbitrary multi-dimensional geometry

The Fokker–Planck collision operator is an advection-diffusion operator which describe dynamical systems such as weakly coupled plasmas [1,2], photonics in high temperature environment [3,4], biological [5], and even social systems [6]. For plasmas in the continuum, the Fokker–Planck collision operator supports such important physical properties as conservation of number, momentum, and energy, as well as positivity. It also obeys the Boltzmann’s H-theorem [7–11], i.e., the operator increases the system entropy while simultaneously driving the distribution function towards a Maxwellian. In the discrete, when these properties are not ensured, numerical simulations can either fail catastrophically or suffer from significant numerical pollution [12,13]. There is strong emphasis in the literature on developing numerical techniques to solve the Fokker–Planck equation while preserving these properties [12–24]. In this short note, we focus on the analytical equilibrium preserving property, meaning that the Fokker–Planck collision operator vanishes when acting on an analytical Maxwellian distribution function. The equilibrium preservation property is especially important, for example, when one is attempting to capture subtle transport physics. Since transport arises from small O ( ) corrections to the equilibrium [25] (where is a small expansion parameter), numerical truncation error present in the equilibrium solution may dominate, overwhelming transport dynamics. Chang and Cooper [15] first proposed a discrete equilibrium preservation scheme for the Fokker–Planck operator in a 1D isotropic linear system. Larsen et al. [14] developed an equilibrium preserving scheme for Compton scattering in 1D by using the analytical expression for the transport coefficients. Buet and Le Thanh [19,20] developed a mass and energy conserving, positivity and equilibrium preserving scheme in the Landau (integral) formulation for a 1D isotropic Fokker–Planck operator by leveraging the natural (integral) structure of the Fokker–Planck collision operator. All of the approaches above

[1]  Daniil Svyatskiy,et al.  Minimal stencil finite volume scheme with the discrete maximum principle , 2012 .

[2]  Y. Berezin,et al.  Conservative finite-difference schemes for the Fokker-Planck equations not violating the law of an increasing entropy , 1987 .

[3]  Y. Zel’dovich,et al.  STIMULATED COMPTON INTERACTION BETWEEN MAXWELLIAN ELECTRONS AND SPECTRALLY NARROW RADIATION. , 1972 .

[4]  Edward W. Larsen,et al.  Discretization methods for one-dimensional Fokker-Planck operators , 1985 .

[5]  Shi Jin,et al.  A class of asymptotic-preserving schemes for kinetic equations and related problems with stiff sources , 2009, J. Comput. Phys..

[6]  Pierre Degond,et al.  An entropy scheme for the Fokker-Planck collision operator of plasma kinetic theory , 1994 .

[7]  N. V. Peskov,et al.  On the existence of a generalized solution of Landau's equation☆ , 1977 .

[8]  P. Gaskell,et al.  Curvature‐compensated convective transport: SMART, A new boundedness‐ preserving transport algorithm , 1988 .

[9]  M. Pekker,et al.  Conservative difference schemes for the Fokker-Planck equation , 1984 .

[10]  C. S. Chang,et al.  Erratum: “A Fokker-Planck-Landau collision equation solver on two-dimensional velocity grid and its application to particle-in-cell simulation” [Phys. Plasmas 21, 032503 (2014)] , 2014 .

[11]  A. B. Langdon,et al.  Conservative differencing of the electron Fokker-Planck transport equation , 1981 .

[12]  D. A. Knoll,et al.  An Implicit Energy-Conservative 2 D Fokker – Planck Algorithm I . Difference Scheme , 1999 .

[13]  T. Goudon On boltzmann equations and fokker—planck asymptotics: Influence of grazing collisions , 1997 .

[14]  J. S. Chang,et al.  A practical difference scheme for Fokker-Planck equations☆ , 1970 .

[15]  C. S. Chang,et al.  A Fokker-Planck-Landau collision equation solver on two-dimensional velocity grid and its application to particle-in-cell simulation , 2014 .

[16]  Lorenzo Pareschi,et al.  A Numerical Method for the Accurate Solution of the Fokker–Planck–Landau Equation in the Nonhomogeneous Case , 2002 .

[17]  Luis Chacón,et al.  An adaptive, conservative 0D-2V multispecies Rosenbluth-Fokker-Planck solver for arbitrarily disparate mass and temperature regimes , 2016, J. Comput. Phys..

[18]  Laurent Desvillettes,et al.  On asymptotics of the Boltzmann equation when the collisions become grazing , 1992 .

[19]  Luis Chacón,et al.  A mass, momentum, and energy conserving, fully implicit, scalable algorithm for the multi-dimensional, multi-species Rosenbluth-Fokker-Planck equation , 2015, J. Comput. Phys..

[20]  S. I. Braginskii Transport Processes in a Plasma , 1965 .

[21]  E. M. Epperlein,et al.  Implicit and conservative difference scheme for the Fokker-Planck equation , 1994 .

[22]  D. A. Knoll,et al.  An Implicit Energy-Conservative 2D Fokker—Planck Algorithm , 2000 .

[23]  Pierre Degond,et al.  THE FOKKER-PLANCK ASYMPTOTICS OF THE BOLTZMANN COLLISION OPERATOR IN THE COULOMB CASE , 1992 .

[24]  A. A. Arsen’ev,et al.  ON THE CONNECTION BETWEEN A SOLUTION OF THE BOLTZMANN EQUATION AND A SOLUTION OF THE LANDAU-FOKKER-PLANCK EQUATION , 1991 .

[25]  Jian‐Guo Liu,et al.  Continuum dynamics of the intention field under weakly cohesive social interactions , 2016, 1607.06372.

[26]  Yiwen Ma,et al.  Mandible Swing Approach for Excision of Tumors from Parapharyngeal Space , 2008 .

[27]  Christophe Buet,et al.  Positive, conservative, equilibrium state preserving and implicit difference schemes for the isotropic Fokker-Planck-Landau equation , 2007 .

[28]  Christophe Buet,et al.  About positive, energy conservative and equilibrium state preserving schemes for the isotropic Fokker-Planck-Landau equation , 2006 .

[29]  William M. MacDonald,et al.  Fokker-Planck Equation for an Inverse-Square Force , 1957 .

[30]  Pierre-Henri Chavanis,et al.  Nonlinear mean field Fokker-Planck equations. Application to the chemotaxis of biological populations , 2007, 0709.1829.