Minimal distance between random orbits
S\'ebastien Gou\"ezel (IRMAR), J\'er\^ome Rousseau (CREC, UFBA),, Manuel Stadlbauer (UFRJ)

TL;DR
This paper investigates the minimal distance between orbit segments in random dynamical systems, revealing complex asymptotic behavior involving two correlation dimensions, contrasting with known results in non-random systems.
Contribution
It extends the understanding of orbit distances to quenched random systems, showing a more intricate asymptotic behavior involving two correlation dimensions.
Findings
Asymptotic behavior involves two correlation dimensions.
Non-smooth asymptotic exponent due to quenched randomness.
Contrasts with simpler annealed or non-random cases.
Abstract
We study the minimal distance between two orbit segments of length n, in a random dynamical system with sufficiently good mixing properties. This problem has already been solved in non-random dynamical system, and on average in random dynamical systems (the so-called annealed version of the problem): it is known that the asymptotic behavior for this question is given by a dimension-like quantity associated to the invariant measure, called its correlation dimension (or R{\'e}nyi entropy). We study the analogous quenched question, and show that the asymptotic behavior is more involved: two correlation dimensions show up, giving rise to a non-smooth behavior of the associated asymptotic exponent.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Quantum chaos and dynamical systems
