On the Invariant Density of the Random Beta-Transformation
Tom Kempton

TL;DR
This paper constructs a natural extension of the random beta-transformation to derive its invariant measure density and analyze the branching rate of beta-expansions, addressing previous open questions.
Contribution
It provides a formula for the invariant measure density of the random beta-transformation and evaluates estimates on the branching rate of beta-expansions.
Findings
Derived a formula for the density of the invariant measure
Constructed a Lebesgue measure preserving natural extension
Evaluated estimates on the branching rate of beta-expansions
Abstract
We construct a Lebesgue measure preserving natural extension of the random beta-transformation. This allows us to give a formula for the density of the absolutely continuous invariant probability measure, answering a question of Dajani and de Vries, and also to evaluate some estimates on the typical branching rate of the set of beta-expansions of a real number.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMathematical Dynamics and Fractals · Stochastic processes and statistical mechanics · Cellular Automata and Applications
