Hitting time statistics and extreme value theory
By A. C. Freitas, J. Freitas, Mike Todd. 2008
203 citations recorded by the source corpus.
We consider discrete time dynamical systems and show the link between Hitting Time Statistics (the distribution of the first time points land in asymptotically small sets) and Extreme Value Theory (distribution properties of the partial maximum of stochastic processes). This relation allows to study Hitting Time Statistics with tools from Extreme Value Theory, and vice versa. We apply these results to non-uniformly hyperbolic systems and prove that a multimodal map with an absolutely continuous invariant measure must satisfy the classical extreme value laws (with no extra condition on the speed of mixing, for example). We also give applications of our theory to higher dimensional examples, for which we also obtain classical extreme value laws and exponential hitting time statistics (for balls). We extend these ideas to the subsequent returns to asymptotically small sets, linking the Poisson statistics of both processes.
Subfields: Mathematical Physics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/474d7306637ec5e8a0b24326457489daec1a9caf
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In Mathematical Physics
In Statistical and Nonlinear Physics
Citations in the corpus
- Extreme value theory for non-uniformly expanding dynamical systems (2012, methodology): “Since |f ′ | is not uniformly bounded above, the conclusion does not immediately follow from the results of [4, 10] that we used to prove Theorem 3.”
- Entry and return times distribution (2013, background): “Recently Freitas, Freitas and Todd have established a relation between extremal value laws and entry times distribution first for absolutely continuous measures in [34] and then for general invariant measures in [35].”