[Paper Review] On measures of maximal and full dimension for polynomial automorphisms of $\C^2$
This paper establishes the existence of a measure of maximal dimension for hyperbolic polynomial automorphisms of ℂ² using thermodynamic formalism, showing such measures are equilibrium states for a one-parameter family of potentials. It further proves that for non-volume preserving maps, a measure of full dimension must be the measure of maximal entropy, and that the dynamical dimension d(g) is continuous and plurisubharmonic in parameter families.
For a hyperbolic polynomial automorphism of $\C^2$, we show the existence of a measure of maximal dimension, and identify the conditions under which a measure of full dimension exists.
Motivation & Objective
- To establish the existence of a measure of maximal dimension for hyperbolic polynomial automorphisms of ℂ².
- To determine conditions under which a measure of full dimension exists.
- To analyze the dependence of the dynamical dimension d(g) on the parameters of the mapping.
- To clarify the relationship between measures of full dimension and measures of maximal entropy in non-volume preserving systems.
Proposed method
- Utilizes thermodynamic formalism by constructing a one-parameter family of potentials associated with the dynamics.
- Identifies measures of maximal dimension as equilibrium measures for these potentials.
- Applies Young’s formula relating metric entropy and Hausdorff dimension to link ergodic properties with dimension theory.
- Employs real analyticity and uniqueness theorems to show finitely many maxima in the pressure function, ensuring existence of maximal dimension measures.
- Uses conjugacy families and harmonic functions to prove continuity and plurisubharmonicity of d(g) in holomorphic parameter families.
- Applies results from [VW] and [Wo1] on real analytic pressure functions and conjugacies to establish regularity of d(g).
Experimental results
Research questions
- RQ1Does a hyperbolic polynomial automorphism of ℂ² always admit a measure of maximal dimension?
- RQ2Under what conditions does a measure of full dimension exist for such maps?
- RQ3Is the measure of full dimension unique when it exists?
- RQ4Can a measure of full dimension exist for non-volume preserving maps, and if so, what characterizes it?
- RQ5How does the dynamical dimension d(g) vary with parameters in a holomorphic family of maps?
Key findings
- A measure of maximal dimension exists for every hyperbolic polynomial automorphism of ℂ², and the set of such measures is finite.
- For non-volume preserving maps, a measure of full dimension must be the measure of maximal entropy, indicating rarity of such measures.
- There exists at most one measure of full dimension, as shown in Corollary 3.6.
- The dynamical dimension d(g) is strictly less than dim_H J for a dense open subset of the hyperbolic parameter space.
- The function λ ↦ d(g_λ) is continuous and plurisubharmonic in holomorphic families of hyperbolic polynomial automorphisms.
- Every measure of maximal dimension is Bernoulli, due to topological mixing and equilibrium state properties.
Better researchstarts right now
From reading papers to final review, dramatically reduce your research time.
No credit card · Free plan available
This review was created by AI and reviewed by human editors.