Ye_Hexi.pdf (591.64 kB)
Complex Dynamics: Schwarzian Derivatives and Measures of Maximal Entropy
thesis
posted on 2013-10-24, 00:00 authored by Hexi YeWe investigate the Schwarzian derivatives of a polynomial and its iterates, where the polyno-
mial is defined over the field of complex numbers. The escape-rate function of the polynomial play
an important role in the study of polynomial dynamics. The study of the sequence of Schwarzian
derivatives leads to a connection with the escape-rate function.
The polynomial basin of infinity admits a natural metric,which keeps a lot of polynomial dynam-
ics information. The quadratic differential of the Schwarzian derivative determines a Riemannian
metric on the complement of f^n’s critical points. As n tends to infinite, this sequence of metric spaces has an
ultralimit, which is a complete geodesic space with non-positive curvature. And by the properties
inherited from the the dynamics of the polynomial, we can naturally embed the basin of infinity
isometrically to the ultralimit.
We also investigate rational functions with identical measure of maximal entropy. For a given ra-
tional function f : CP1→CP1 with degree d ≥ 2, there is a unique probability measure μf associated
with it, which achieves maximal entropy logd among all the f -invariant probability measures. From
the work of Beardon, Levin, Baker-Eremenko, Schmidt-Steinmetz, etc (1980s-90s), the set of polyno-
mials with identical measure of maximal entropy has been characterized. We construct examples of
non-exceptional rational functions with common measure of maximal entropy, and they won’t share
an iterate up to precomposition by any M¨obius transformation. Following from Levin-Przytycki’s
result (1997), we characterize the general sets of rational functions with identical measures of
maximal entropy. Finally, we sum up some known results related to the set of preperiodic points
and maximal entropy measure, and then provide some necessary and sufficient conditions for two
rational functions sharing an iterate.
History
Advisor
DeMarco, LauraDepartment
Mathematics, Statistics, and Computer ScienceDegree Grantor
University of Illinois at ChicagoDegree Level
- Doctoral
Committee Member
Furman, Alexander Dumas, David McGathey, Natalie Wang, XiaoguangSubmitted date
2013-08Language
- en
Issue date
2013-10-24Usage metrics
Categories
No categories selectedLicence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC