Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2005-08-06
J. Phys. A: Math. Gen. 39 (2006) 3853-3869
Physics
Condensed Matter
Disordered Systems and Neural Networks
revised version, removed some mathematical parts, discussion of negatively correlated couplings added, figures added
Scientific paper
10.1088/0305-4470/39/15/001
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 specifically to address cases with asymmetric interactions where there is no Lyapunov function governing the dynamics. We here 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.
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