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Tubular dimension: Leaf-Wise Asymptotic Local Product Structure, and Entropy and Volume Growth

Snir Ben Ovadia

Abstract

We introduce the notion of tubular dimension, and give a formula for it. As an application we show that every invariant measure of a $C^{1+γ}$ diffeomorphism of a closed Riemannian manifold admits an asymptotic local product structure for conditional measures on intermediate foliations of unstable leaves. As a second application, we prove a bound on the gap between any two consecutive conditional entropies, in the form of volume growth. As a third application, for certain $C^\infty$ maps we compute all conditional entropies for the measure of maximal entropy; And in particular as a consequence, in a follow-up paper we compute the Hausdorff dimension of the equilibrium measure of holomorphic endomorphisms of $\mathbb{C}\mathbb{P}^k$, $k\geq 1$, giving a solution to the Binder-DeMarco conjecture, and answering a question of Fornæss and Sibony.

Tubular dimension: Leaf-Wise Asymptotic Local Product Structure, and Entropy and Volume Growth

Abstract

We introduce the notion of tubular dimension, and give a formula for it. As an application we show that every invariant measure of a diffeomorphism of a closed Riemannian manifold admits an asymptotic local product structure for conditional measures on intermediate foliations of unstable leaves. As a second application, we prove a bound on the gap between any two consecutive conditional entropies, in the form of volume growth. As a third application, for certain maps we compute all conditional entropies for the measure of maximal entropy; And in particular as a consequence, in a follow-up paper we compute the Hausdorff dimension of the equilibrium measure of holomorphic endomorphisms of , , giving a solution to the Binder-DeMarco conjecture, and answering a question of Fornæss and Sibony.
Paper Structure (12 sections, 14 theorems, 67 equations, 1 figure)

This paper contains 12 sections, 14 theorems, 67 equations, 1 figure.

Key Result

Theorem 2.3

Let $\mu$ be an ergodic $f$-invariant probability measure which admits $u\geq 1$ distinct positive Lyapunov exponents. Then for all $1\leq i\leq u$,

Figures (1)

  • Figure :

Theorems & Definitions (34)

  • Definition 2.1: Pesin blocks
  • Definition 2.2: Conditional entropy and dimension LedrappierYoungII
  • Theorem 2.3: LedrappierYoungILedrappierYoungII
  • Definition 2.4: Transverse structure
  • Definition 2.5: Pucks, intermediate entropy, and scaling parameters
  • Lemma 3.1: Puck covers
  • proof
  • Lemma 3.2: Puck differentiation
  • proof
  • Theorem 3.3
  • ...and 24 more