Cyclicity, hypercyclicity and randomness in self-similar groups
Jorge Fariña-Asategui
TL;DR
The paper develops a framework connecting self-similar and automata group structures with measure-preserving dynamics on profinite groups endowed with Haar measure. It establishes that fractal self-similar groups yield measure-preserving dynamics, while super strongly fractal groups are ergodic and strongly mixing, enabling the use of ergodic theory to study randomness in these groups. A key result is that Haar-random elements in super strongly fractal profinite groups are hypercyclic with probability one, proven via a Birkhoff-type theorem for free semigroup actions. The work provides concrete findings for classical automata groups (Grigorchuk, Basilica, BSV) and gives contraction-based criteria ensuring cyclicity of non-finitary automorphisms, illustrating deep connections between fractality, dynamical properties, and the self-similar spectrum of these groups.
Abstract
We introduce the concept of cyclicity and hypercyclicity in self-similar groups as an analogue of cyclic and hypercyclic vectors for an operator on a Banach space. We derive a sufficient condition for cyclicity of non-finitary automorphisms in contracting discrete automata groups. In the profinite setting we prove that fractal profinite groups may be regarded as measure-preserving dynamical systems and derive a sufficient condition for the ergodicity and the mixing properties of these dynamical systems. Furthermore, we show that a Haar-random element in a super strongly fractal profinite group is hypercyclic almost surely as an application of Birkhoff's ergodic theorem for free semigroup actions.
