Memory loss property for products of random matrices in the $(\max,+)$ algebra
Probability
2007-05-23 v3 Optimization and Control
Abstract
Products of random matrices in the algebra are used as a model for a class of discrete event dynamical systems. J. Mairesse proved that such a system couples in finite times with a unique stationary regime if and only if it has a memory loss property. We prove that the memory loss property is generic in the following sense : if it is not fulfilled, the support of the measure is included in a finite union of affine hyperplanes and in the discrete case the atoms of the measure are linearly related.
Keywords
Cite
@article{arxiv.math/0405452,
title = {Memory loss property for products of random matrices in the $(\max,+)$ algebra},
author = {Glenn Merlet},
journal= {arXiv preprint arXiv:math/0405452},
year = {2007}
}
Comments
The article has been completely rewritten, in order to state more explicit results and allow the matrices' entries to be infinite. Moreover the results are illustrated on a simple production system