Random non-hyperbolic exponential maps
Abstract
We consider random iteration of exponential entire functions, i.e. of the form , . Assuming that is in a bounded closed interval with , we deal with random iteration of the maps governed by an invertible measurable map preserving a probability ergodic measure on , where is a measurable space. The link from to exponential maps is then given by an arbitrary measurable function . We in fact work on the cylinder space , where is the natural equivalence relation: if and only if is an integral multiple of . We prove that then for every there exists a unique random conformal measure for the random conformal dynamical system on . We further prove that this measure is supported on the, appropriately defined, radial Julia set. Next, we show that there exists a unique random probability invariant measure absolutely continuous with respect to . In fact is equivalent with . Then we turn to geometry. We define an expected topological pressure and show that its only zero coincides with the Hausdorff dimension of --almost every fiber radial Julia set , . We show that and that the omega--limit set of Lebesgue almost every point in is contained in the real line . Finally, we entirely transfer our results to the original random dynamical system on . As our preliminary result, we show that all fiber Julia sets coincide with the entire complex plane .
Cite
@article{arxiv.1805.08050,
title = {Random non-hyperbolic exponential maps},
author = {Mariusz Urbański and Anna Zdunik},
journal= {arXiv preprint arXiv:1805.08050},
year = {2018}
}