Nonlinear Sciences – Cellular Automata and Lattice Gases
Scientific paper
1996-07-14
Nonlinear Sciences
Cellular Automata and Lattice Gases
9 pages, LaTeX, to appear in J. Stat. Phys
Scientific paper
10.1007/BF02181282
The Lorentz lattice gas is studied from the perspective of computational complexity theory. It is shown that using massive parallelism, particle trajectories can be simulated in a time that scales logarithmically in the length of the trajectory. This result characterizes the ``logical depth" of the Lorentz lattice gas and allows us to compare it to other models in statistical physics.
Machta Jon
Moriarty K.
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