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Random replicators with asymmetric couplings

Tobias Galla

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Systems of interacting random replicators are studied using generating functional techniques. While replica analyses of such models are limited to systems with symmetric couplings, dynamical approaches as presented here allow us specifically to address cases with asymmetric interactions where there is no Lyapunov function governing the dynamics. We focus on replicator models with Gaussian couplings of general symmetry between p ≥ 2 species, and discuss how an effective description of the dynamics can be derived in terms of a single-species process. Upon making a fixed point ansatz persistent order parameters in the ergodic stationary states can be extracted from this process, and different types of phase transitions can be identified and related to each other. We discuss the effects of asymmetry in the couplings on the order parameters and the phase behaviour for p = 2 and p = 3. Numerical simulations verify our theory. For the case of cubic interactions, numerical experiments indicate regimes in which only a finite number of species survives, even when the thermodynamic limit is considered.


PACS

05.40.-a Fluctuation phenomena, random processes, noise, and Brownian motion

02.60.Cb Numerical simulation; solution of equations

05.70.Fh Phase transitions: general studies

02.50.Cw Probability theory

02.50.Ey Stochastic processes

MSC

60G15 Gaussian processes

37A60 Dynamical systems in statistical mechanics (See also 82Cxx)

82C26 Dynamic and nonequilibrium phase transitions (general)

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 15 (14 April 2006)

Received 15 August 2005, in final form 30 January 2006

Published 29 March 2006



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