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Classifying Hyperbolic Ergodic Stationary Measures on Compact Complex Surfaces with Large Automorphism Groups

Megan Roda

Abstract

Let $X$ be a compact complex surface. Consider a finitely supported probability measure $μ$ on $\text{Aut}(X)$ such that $Γ_μ = \langle \text{Supp}(μ)\rangle<\text{Aut}(X)$ is non-elementary. We do not assume that $Γ_μ$ contains any parabolic elements. In this paper, we study and classify hyperbolic, ergodic $μ$-stationary probability measures.

Classifying Hyperbolic Ergodic Stationary Measures on Compact Complex Surfaces with Large Automorphism Groups

Abstract

Let be a compact complex surface. Consider a finitely supported probability measure on such that is non-elementary. We do not assume that contains any parabolic elements. In this paper, we study and classify hyperbolic, ergodic -stationary probability measures.

Paper Structure

This paper contains 65 sections, 112 theorems, 424 equations, 1 figure.

Key Result

Theorem 1.1.1

Let $X$ be a compact complex surface, $\mu$ a finitely supported probability measure on the group of biholomorphisms $\text{Aut}(X)$ such that $\Gamma_{\mu}= \langle \text{Supp}(\mu) \rangle$ is non-elementary, and $\nu$ a hyperbolic ergodic $\mu$-stationary probability measure on $X$. Assume there

Figures (1)

  • Figure 1: This figure shows the basic configuration of the points used in the proof of Proposition \ref{['U-']}. The magnitude of time that we flow between the points is labelled as well.

Theorems & Definitions (244)

  • Theorem 1.1.1
  • Lemma 2.1.1: Proposition 1.2, K, LQ
  • Remark 2.1.2
  • Remark 2.1.3
  • Remark 2.2.1
  • Definition 1: LQ, Section IV.2
  • Proposition 2.4.1: LQ, Proposition 2.1, CD, Section 7.6
  • Definition 2: Random compatible family of subgroups
  • Remark 2.5.1
  • Definition 3: Random QNI
  • ...and 234 more