Equilibrium-distribution-function based mesoscopic finite-difference methods for partial differential equations: Modeling and Analysis
Baochang shi, Rui Du, Zhenhua Chai

TL;DR
This paper introduces a unified mesoscopic finite-difference framework based on equilibrium distribution functions for solving macroscopic PDEs, providing stability analysis and connecting to existing lattice Boltzmann models.
Contribution
It develops a general EDF-based mesoscopic finite-difference method that unifies and extends existing lattice Boltzmann and finite-difference approaches for PDEs.
Findings
Unified mesoscopic finite-difference scheme for PDEs.
Derived stability conditions for various schemes.
Shows connection to existing lattice Boltzmann models.
Abstract
In this paper, based on the idea of direct discrete modeling (DDM) with equilibrium distribution functions (EDFs), we develop a general framework of the mesoscopic numerical method (MesoNM) for macroscopic partial differential equations (PDEs), including but not limited to the nonlinear convection-diffusion equation (NCDE) and the Navier-Stokes equations (NSEs). Unlike the mesoscopic lattice Boltzmann method, this kind of MesoNM is an EDF-based mesoscopic finite-difference (MesoFD) method, and by taking the moments of the MesoFD scheme, its macroscopic version, called MMFD method, can be derived directly. Both MesoFD scheme and MMFD schemes are multi-level FD methods, MesoFD scheme being mesoscopic, and MMFD scheme being its macroscopic form which has the form of the central FD scheme. They are unified FD schemes for PDEs and can be in implicit or explicit forms as needed. The…
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