Anomalous time-scaling of extreme events in infinite systems and Birkhoff sums of infinite observables
Galatolo, S; Holland, M; Persson, T; et al.Zhang, Y
Date: 14 October 2020
Article
Journal
Discrete and Continuous Dynamical Systems Series A
Publisher
American Institute of Mathematical Sciences (AIMS)
Publisher DOI
Abstract
We establish quantitative results for the statistical behaviour of
infinite systems. We consider two kinds of infinite system:
i) a conservative dynamical system (f, X, µ) preserving a σ-finite measure µ
such that µ(X) = ∞;
ii) the case where µ is a probability measure but we consider the statistical behaviour of an observable φ: ...
We establish quantitative results for the statistical behaviour of
infinite systems. We consider two kinds of infinite system:
i) a conservative dynamical system (f, X, µ) preserving a σ-finite measure µ
such that µ(X) = ∞;
ii) the case where µ is a probability measure but we consider the statistical behaviour of an observable φ: X → [0, ∞) which is non-integrable:
R
φ dµ = ∞.
In the first part of this work we study the behaviour of Birkhoff sums of
systems of the kind ii). For certain weakly chaotic systems, we show that these
sums can be strongly oscillating. However, if the system has superpolynomial
decay of correlations or has a Markov structure, then we show this oscillation
cannot happen. In this case we prove a general relation between the behavior of
φ, the local dimension of µ, and the scaling rate of the growth of Birkhoff sums
of φ as time tends to infinity. We then establish several important consequences
which apply to infinite systems of the kind i). This includes showing anomalous
scalings in extreme event limit laws, or entrance time statistics. We apply our
findings to non-uniformly hyperbolic systems preserving an infinite measure,
establishing anomalous scalings for the power law behavior of entrance times
(also known as logarithm laws), dynamical Borel–Cantelli lemmas, almost sure
growth rates of extremes, and dynamical run length functions.
Mathematics and Statistics
Faculty of Environment, Science and Economy
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