Extreme value laws for fractal intensity functions in dynamical systems: Minkowski analysis
arXiv:1512.07383 · doi:10.1088/1751-8113/49/37/374001
Abstract
Typically, in the dynamical theory of extremal events, the function that gauges the intensity of a phenomenon is assumed to be convex and maximal, or singular, at a single, or at most a finite collection of points in phase--space. In this paper we generalize this situation to fractal landscapes, i.e. intensity functions characterized by an uncountable set of singularities, located on a Cantor set. This reveals the dynamical rôle of classical quantities like the Minkowski dimension and content, whose definition we extend to account for singular continuous invariant measures. We also introduce the concept of extremely rare event, quantified by non--standard Minkowski constants and we study its consequences to extreme value statistics. Limit laws are derived from formal calculations and are verified by numerical experiments.
20 pages, 13 figures
Cited by in corpus (5)
- Extreme Value Laws for dynamical systems with countable extremal sets
- On the computation of the extremal index for time series
- Extreme value distributions of observation recurrences
- Extreme value theory of evolving phenomena in complex dynamical systems: firing cascades in a model of neural network
- A functional limit theorem for a dynamical system with an observable maximised on a Cantor set