Power-law tails in nonstationary stochastic processes with asymmetrically multiplicative interactions

Details Power-law tails in nonstationary stochastic processes with asymmetrically multiplicative interactions Power-law tails in nonstationary stochastic processes with asymmetrically multiplicative interactions

2005-06-30

arxiv.org/abs/cond-mat/0506785v1

PHYSICAL REVIEW E 70, 031106 (2004)

Physics

Condensed Matter

Statistical Mechanics

9 pages, 8 figures

Scientific paper

10.1103/PhysRevE.70.031106

We consider stochastic processes where randomly chosen particles with positive quantities x, y (> 0) interact and exchange the quantities asymmetrically by the rule x' = c{(1-a) x + b y}, y' = d{a x + (1-b) y} (x \ge y), where (0 \le) a, b (\le 1) and c, d (> 0) are interaction parameters. Noninteger power-law tails in the probability distribution function of scaled quantities are analyzed in a similar way as in inelastic Maxwell models. A transcendental equation to determine the growth rate \gamma of the processes and the exponent s of the tails is derived formally from moment equations in Fourier space. In the case c=d or a+b=1 (a \neq 0, 1), the first-order moment equation admits a closed form solution and \gamma and s are calculated analytically from the transcendental equation. It becomes evident that at c=d, exchange rate b of small quantities is irrelevant to power-law tails. In the case c \neq d and a+b \neq 1, a closed form solution of the first-order moment equation cannot be obtained because of asymmetry of interactions. However, the moment equation for a singular term formally forms a closed solution and possibility for the presence of power-law tails is shown. Continuity of the exponent s with respect to parameters a, b, c, d is discussed. Then numerical simulations are carried out and campared with the theory. Good agreement is achieved for both \gamma and s.

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