Book contents
- Frontmatter
- Contents
- Preface
- 1 Nonequilibrium statistical mechanics
- 2 The Boltzmann equation
- 3 Liouville's equation
- 4 Boltzmann's ergodic hypothesis
- 5 Gibbs' picture: mixing systems
- 6 The Green–Kubo formulae
- 7 The baker's transformation
- 8 Lyapunov exponents, baker's map, and toral automorphisms
- 9 Kolmogorov–Sinai entropy
- 10 The Probenius–Perron equation
- 11 Open systems and escape rates
- 12 Transport coefficients and chaos
- 13 Sinai–Ruelle–Bowen (SRB) and Gibbs measures
- 14 Fractal forms in Green–Kubo relations
- 15 Unstable periodic orbits
- 16 Lorentz lattice gases
- 17 Dynamical foundations of the Boltzmann equation
- 18 The Boltzmann equation returns
- 19 What's next?
- Bibliography
- Index
16 - Lorentz lattice gases
Published online by Cambridge University Press: 25 January 2010
- Frontmatter
- Contents
- Preface
- 1 Nonequilibrium statistical mechanics
- 2 The Boltzmann equation
- 3 Liouville's equation
- 4 Boltzmann's ergodic hypothesis
- 5 Gibbs' picture: mixing systems
- 6 The Green–Kubo formulae
- 7 The baker's transformation
- 8 Lyapunov exponents, baker's map, and toral automorphisms
- 9 Kolmogorov–Sinai entropy
- 10 The Probenius–Perron equation
- 11 Open systems and escape rates
- 12 Transport coefficients and chaos
- 13 Sinai–Ruelle–Bowen (SRB) and Gibbs measures
- 14 Fractal forms in Green–Kubo relations
- 15 Unstable periodic orbits
- 16 Lorentz lattice gases
- 17 Dynamical foundations of the Boltzmann equation
- 18 The Boltzmann equation returns
- 19 What's next?
- Bibliography
- Index
Summary
In this chapter, we will discuss briefly some simple models of fluid systems that are designed to exhibit many of the nonequilibrium properties of a real fluid, and to be very suitable for precise computer studies of fluid flows since only binary arithmetic is used to simulate these models. The models were devised by Prisch, Hasslacher, and Pomeau, among others, and are generally called cellular automata lattice gases. The corresponding one-dimensional Lorentz gas, studied in great detail by Ernst and co-workers, may be viewed as a ‘modern-day’ Kac ring model. The interest of these models for us consists in the fact that it is rather straightforward to compute both the transport as well as the chaotic properties of these systems, and the thermodynamic formalism is especially useful here. After introducing the general class of cellular automata lattice gases (CALGs) we will turn our attention to the special case of the one-dimensional Lorentz lattice gas (LLG) to outline how its dynamical quantities can be calculated.
Cellular automata lattice gases
Consider a two-dimensional hexagonal or square lattice with bonds connecting the nearest-neighbor lattice sites. A CALG is constructed by (i) putting indistinguishable particles on this lattice with velocities that are aligned along the bond directions, (ii) considering that the time is discretized, and (iii) stating that in one time step a particle goes from one site to the next in the direction of its velocity. The number of possible velocities for any particle is then equal to the coordination number, b, of the lattice, although models with rest particles (zero velocity), or with other velocities, are often considered.
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- Information
- An Introduction to Chaos in Nonequilibrium Statistical Mechanics , pp. 217 - 226Publisher: Cambridge University PressPrint publication year: 1999