Extreme values for Benedicks-Carleson quadratic maps

Details Extreme values for Benedicks-Carleson quadratic maps Extreme values for Benedicks-Carleson quadratic maps

2007-06-20

arxiv.org/abs/0706.3071v2

Ergodic Theory Dynam. Systems 28, 2008, no. 4, 1117-1133

Mathematics

Dynamical Systems

18 pages

Scientific paper

We consider the quadratic family of maps given by $f_{a}(x)=1-a x^2$ with $x\in [-1,1]$, where $a$ is a Benedicks-Carleson parameter. For each of these chaotic dynamical systems we study the extreme value distribution of the stationary stochastic processes $X_0,X_1,...$, given by $X_{n}=f_a^n$, for every integer $n\geq0$, where each random variable $X_n$ is distributed according to the unique absolutely continuous, invariant probability of $f_a$. Using techniques developed by Benedicks and Carleson, we show that the limiting distribution of $M_n=\max\{X_0,...,X_{n-1}\}$ is the same as that which would apply if the sequence $X_0,X_1,...$ was independent and identically distributed. This result allows us to conclude that the asymptotic distribution of $M_n$ is of Type III (Weibull).

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