Geometric Law for Multiple Returns until a Hazard
Yuri Kifer, Ariel Rapaport

TL;DR
This paper establishes that the number of multiple recurrences until a hazard in a mixing process or dynamical system converges to a geometric distribution, extending understanding of return times in stochastic and deterministic systems.
Contribution
It introduces a geometric law for multiple returns until a hazard in both stationary processes and dynamical systems, under conditions of similar decay rates of recurrence probabilities.
Findings
Number of multiple recurrences converges to a geometric distribution.
Results apply to both stochastic processes and dynamical systems.
Provides a unified framework for return times until a hazard.
Abstract
For a -mixing stationary process we consider the number of multiple recurrencies to a set for until the moment (which we call a hazard) when another multiple recurrence takes place for the first time where and are nonnegative increasing functions taking on integer values on integers. It turns out that if and decay in with the same speed then converges weakly to a geometrically distributed random variable. We obtain also a similar result in the dynamical systems setup considering a -mixing shift on a sequence space and study the number of multiple recurrencies $\{…
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