25 years on: a quantitative, computer-assisted, version of Jakobson's Theorem.
Abstract. We formulate and prove a Jakobson-Benedicks-Carleson type theorem on the occurrence of non-uniform hyperbolicity (stochastic dynamics) in families of one-dimensional maps, based on computable starting conditions and providing explicit, computable, lower bounds for the measure of the set of selected parameters.
As an application of our results we obtain a first ever explicit
lower bound for the measure of the set of parameters corresponding to maps
in the quadratic family
which have an absolutely
continuous invariant probability measure.
This is joint work with H. Takahasi (Kyoto University).