A Petrov-Galerkin spectral method for the inelastic Boltzmann equation using mapped Chebyshev functions
Author(s) -
Jingwei Hu,
Jie Shen,
Yingwei Wang
Publication year - 2020
Publication title -
kinetic and related models
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.987
H-Index - 28
eISSN - 1937-5093
pISSN - 1937-5077
DOI - 10.3934/krm.2020023
Subject(s) - truncation (statistics) , chebyshev filter , boltzmann equation , fourier series , mathematics , fourier transform , spectral method , galerkin method , mathematical analysis , chebyshev polynomials , convergence (economics) , petrov–galerkin method , truncation error , physics , quantum mechanics , finite element method , thermodynamics , statistics , nonlinear system , economics , economic growth
We develop in this paper a Petrov-Galerkin spectral method for the inelastic Boltzmann equation in one dimension. Solutions to such equations typically exhibit heavy tails in the velocity space so that domain truncation or Fourier approximation would suffer from large truncation errors. Our method is based on the mapped Chebyshev functions on unbounded domains, hence requires no domain truncation. Furthermore, the test and trial function spaces are carefully chosen to obtain desired convergence and conservation properties. Through a series of examples, we demonstrate that the proposed method performs better than the Fourier spectral method and yields highly accurate results.
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