
doi: 10.1002/rsa.10106
AbstractThe soliton physics for the propagation of waves is represented by a stochastic model in which the particles of the wave can jump ahead according to some probability distribution. We demonstrate the presence of a steady state (stationary distribution) for the wavelength. It is shown that the stationary distribution is a convolution of geometric random variables. Approximations to the stationary distribution are investigated for a large number of particles. The model is rich and includes Gaussian cases as limit distribution for the wavelength (when suitably normalized). A sufficient Lindeberg‐like condition identifies a class of solitons with normal behavior. Our general model includes, among many other reasonable alternatives, an exponential aging soliton, of which the uniform soliton is one special subcase (with Gumbel's stationary distribution). With the proper interpretation, our model also includes the deterministic model proposed in Takahashi and Satsuma [A soliton cellular automaton, J Phys Soc Japan 59 (1990), 3514–3519]. © 2003 Wiley Periodicals, Inc. Random Struct. Alg., 2004
Soliton equations, Combinatorial probability, random structure, Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics, Characterization and structure theory of statistical distributions, limit distribution, wave propagation, Soliton theory, asymptotic behavior of solutions of infinite-dimensional Hamiltonian systems, Applications of statistics to physics, soliton
Soliton equations, Combinatorial probability, random structure, Stochastic methods (Fokker-Planck, Langevin, etc.) applied to problems in time-dependent statistical mechanics, Characterization and structure theory of statistical distributions, limit distribution, wave propagation, Soliton theory, asymptotic behavior of solutions of infinite-dimensional Hamiltonian systems, Applications of statistics to physics, soliton
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