Markov extensions and lifting measures for complex polynomials

Abstract

For polynomials $f$ on the complex plane with a dendrite Julia set we study invariant probability measures, obtained from a reference measure. To do this we follow Keller in constructing canonical Markov extensions. We discuss ``liftability'' of measures (both $f$-invariant and non-invariant) to the Markov extension, showing that invariant measures are liftable if and only if they have a positive Lyapunov exponent. We also show that $\delta$-conformal measure is liftable if and only if the set of points with positive Lyapunov exponent has positive measure.

Some changes have been made, in particular to Sections 2 and 3, to clarify the exposition. Typos have been corrected and references updated

References in corpus (2)

• Almost Sure Invariance Principle For Nonuniformly Hyperbolic Systems
• Non-uniform hyperbolicity in complex dynamics

Cited by in corpus (1)

• Equilibrium states for interval maps: the potential $-t\log |Df|$