Measurable entire functions II
Adi Gl\"ucksam, Benjamin Weiss

TL;DR
This paper demonstrates the existence of invariant probability measures supported on dense orbits of entire functions, extending to several complex variables, using a modified classical construction.
Contribution
It provides a positive answer to the existence of invariant measures supported on dense orbits of entire functions and extends the construction to several complex variables.
Findings
Existence of invariant probability measures supported on dense orbits.
Construction of ergodic measures on entire functions of several variables.
Extension of classical methods to new settings.
Abstract
Let denote the space of entire functions with the topology of uniform convergence on compact sets. The action of by translations on is defined by . Let denote the set of entire functions whose orbit under is dense. Birkhoff showed, in [B], that is not empty. One of the problems in the collection by T-C Dinh and N. Sibony [DS] asks whether there exists an invariant probability measure on whose support is contained in . We will show how an old construction of the second author can be modified to provide a positive answer to their question. Furthermore, we modify the construction to produce a wealth of ergodic measures on the space of entire functions of several complex variables.
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
TopicsMeromorphic and Entire Functions
