Strong probabilistic stability in holomorphic families of endomorphisms of $\mathbb{P}^k(\mathbb{C})$ and polynomial-like maps
Fabrizio Bianchi, Karim Rakhimov

TL;DR
This paper demonstrates that in stable families of endomorphisms of complex projective space, certain invariant measures can be holomorphically tracked across parameters, extending previous stability results to a broader class of measures and polynomial-like maps.
Contribution
It generalizes probabilistic stability results to measures with high entropy and positive Lyapunov exponents, providing new tools for understanding stability in complex dynamics.
Findings
Invariant measures with entropy > (k-1)log d can be holomorphically followed across parameters.
Almost all points in the Julia set can be tracked holomorphically without intersection.
Sufficient conditions for positivity of Lyapunov exponents in polynomial-like maps are established.
Abstract
We prove that, in stable families of endomorphisms of , all invariant measures whose measure-theoretic entropy is strictly larger than at a given parameter can be followed holomorphically with the parameter in all the parameter space. As a consequence, almost all points (with respect to any such measure at any parameter) in the Julia set can be followed holomorphically without intersections. This generalizes previous results by Berteloot, Dupont, and the first author for the measure of maximal entropy, and provides a parallel in this setting to the probabilistic stability of H\'enon maps by Berger-Dujardin-Lyubich. Our proof relies both on techniques from the theory of stability/bifurcation in any dimension and on an explicit lower bound for the Lyapunov exponents for an ergodic measure in terms of its measure-theoretic entropy, due to de Th\'elin…
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Taxonomy
TopicsMathematical Dynamics and Fractals · Quantum chaos and dynamical systems
