Summary
The purpose of this paper is to raise the profile of the Lattice Boltzmann method (LBM) as a computational method for solving fluid flow problems. We put forward the point of view that the method need not be seen as a discretisation of the Boltzmann equation, and also propose an alternative route from microscopic to macroscopic dynamics, traditionally taken via the Chapman-Enskog procedure. In that process the microscopic description is decomposed into processes at different time scales, parametrised with the Knudsen number. In our exposition we use the time step as a parameter for expanding the solution. This makes the treatment here more amenable to numerical analysts. We explain a method by which one may ameliorate the inevitable instabilities arising when trying to solve a convection- dominated problem, entropic filtering.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
G. Borg: A condition for the existence of orbitally stable solutions of dynamical systems. Kungl. Tekn. H¨ogsk. Handl. 153, 1960.
C. Chicone: Ordinary Differential Equations with Applications. Springer, 1999.
G.E. Fasshauer: Solving partial differential equations by collocation with radial basis functions. In Surface Fitting and Multiresolution Methods, A.L.M´ehaut´e, C. Rabut, and L. L. Schumaker (eds.), Vanderbilt University Press, 1997, 131–138.
A. Filippov: Differential Equations with Discontinuous Righthand Sides. Kluwer, 1988.
C. Franke and R. Schaback: Convergence order estimates of meshless collocation methods using radial basis functions. Adv. Comput. Math. 8, 1998, 381–399.
P. Giesl: The basin of attraction of periodic orbits in nonsmooth differential equations. ZAMM Z. Angew. Math. Mech. 85, 2005, 89–104.
P. Giesl: Necessary condition for the basin of attraction of a periodic orbit in non-smooth periodic systems. Discrete Contin. Dyn. Syst. 18, 2007, 355–373.
P. Giesl: Construction of Global Lyapunov Functions using Radial Basis Functions. Lecture Notes in Mathematics 1904, Springer-Verlag, Heidelberg, 2007.
P. Giesl: On the determination of the basin of attraction of discrete dynamical systems. J. Difference Equ. Appl. 13, 2007, 523–546.
P. Giesl and H.Wendland: Meshless collocation: error estimates with application to dynamical systems. SIAM J. Numer. Anal. 45, 2007, 1723–1741.
P. Giesl and H. Wendland: Approximating the basin of attraction of timeperiodic ODEs by meshless collocation. Discrete Contin. Dyn. Syst. 25, 2009, 1249–1274.
P. Giesl and H. Wendland: Approximating the basin of attraction of timeperiodic ODEs by meshless collocation of a Cauchy problem. Discrete Contin. Dyn. Syst. Supplement, 2009, 259–268.
Ph. Hartman: Ordinary Differential Equations. Wiley, New York, 1964.
B. Michaeli: Lyapunov-Exponenten bei nichtglatten dynamischen Systemen. PhD Thesis, University of K¨oln, 1999 (in German).
F.J. Narcowich and J.D. Ward: Generalized Hermite interpolation via matrixvalued conditionally positive definite functions. Math. Comput. 63, 1994, 661–687.
H. Wendland: Piecewise polynomial, positive definite and compactly supported radial functions of minimal degree. Adv. Comput. Math. 4, 1995, 389–396.
H. Wendland: Error estimates for interpolation by compactly supported radial basis functions of minimal degree. J. Approx. Theory 93, 1998, 258–272.
H. Wendland: Scattered Data Approximation. Cambridge Monographs on Applied and Computational Mathematics, Cambridge University Press, Cambridge, UK, 2005.
Z. Wu: Hermite-Birkhoff interpolation of scattered data by radial basis functions,Approximation Theory Appl. 8, 1992, 1–10
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Levesley, J., Gorban, A.N., Packwood, D. (2011). A Numerical Analyst’s View of the Lattice Boltzmann Method. In: Georgoulis, E., Iske, A., Levesley, J. (eds) Approximation Algorithms for Complex Systems. Springer Proceedings in Mathematics, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16876-5_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-16876-5_6
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-16875-8
Online ISBN: 978-3-642-16876-5
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)