Limit theorems for numbers of multiple returns in nonconventional arrays
Yuri Kifer

TL;DR
This paper establishes limit theorems for the number of multiple returns in nonconventional arrays of a $$-mixing process, revealing Poisson and geometric distribution limits under certain conditions, with applications to dynamical systems.
Contribution
It introduces a novel dependence of the functions $q_{i,N}$ on both $n$ and $N$, and derives new limit theorems for multiple return counts in nonconventional arrays and dynamical systems.
Findings
Poisson distribution limits for counts until N
Geometric distribution limits for counts until first return
Results extend to dynamical systems with $$-mixing shifts
Abstract
For a -mixing process we consider the number of multiple returns to a set for until either a fixed number or until the moment when another multiple return takes place for the first time where and are certain functions of taking on nonnegative integer values when runs from 0 to . The dependence of 's on both and is the main novelty of the paper. Under some restrictions on the functions we obtain Poisson distributions limits of when counting is until as and geometric distributions limits when counting is until as . We obtain also similar results in the dynamical…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Cellular Automata and Applications · Stochastic processes and statistical mechanics
