Kac-Rice fixed point analysis for single- and multi-layered complex systems
Mathematical Physics
2018-11-14 v1 Disordered Systems and Neural Networks
Statistical Mechanics
math.MP
Probability
Abstract
We present a null model for single- and multi-layered complex systems constructed using homogeneous and isotropic random Gaussian maps. By means of a Kac-Rice formalism, we show that the mean number of fixed points can be calculated as the expectation of the absolute value of the characteristic polynomial for a product of independent Gaussian (Ginibre) matrices. Furthermore, using techniques from Random Matrix Theory, we show that the high-dimensional limit of our system has a third-order phase transition between a phase with a single fixed point and a phase with exponentially many fixed points. This is result is universal in the sense that it does not depend on finer details of the correlations for the random maps.
Cite
@article{arxiv.1807.05790,
title = {Kac-Rice fixed point analysis for single- and multi-layered complex systems},
author = {J. R. Ipsen and P. J. Forrester},
journal= {arXiv preprint arXiv:1807.05790},
year = {2018}
}
Comments
20 pages, 2 figures