Thermodynamic Formalism for Random Interval Maps with Holes
Abstract: We develop a quenched thermodynamic formalism for open random dynamical systems generated by finitely branched, piecewise-monotone mappings of the interval. The openness refers to the presence of holes in the interval, which terminate trajectories once they enter; the holes may also be random. Our random driving is generated by an invertible, ergodic, measure-preserving transformation $\sigma$ on a probability space $(\Omega,\mathscr{F},m)$. For each $\omega\in\Omega$ we associate a piecewise-monotone, surjective map $T_\omega:I\to I$, and a hole $H_\omega\subset I$; the map $T_\omega$, the random potential $\varphi_\omega$, and the hole $H_\omega$ generate the corresponding open transfer operator $\mathcal{L}\omega$. For a contracting potential, under a condition on the open random dynamics in the spirit of Liverani--Maume-Deschamps, we prove there exists a unique random probability measure $\nu\omega$ supported on the survivor set ${X}{\omega,\infty}$ satisfying $\nu{\sigma(\omega)}(\mathcal{L}\omega f)=\lambda\omega\nu_\omega(f)$. We also prove the existence of a unique random family of functions $q_\omega$ that satisfy $\mathcal{L}\omega q\omega=\lambda_\omega q_{\sigma(\omega)}$. These yield an ergodic random invariant measure $\mu=\nu q$ supported on the global survivor set, while $q$ combined with the random closed conformal measure yields a unique random absolutely continuous conditional invariant measure (RACCIM) $\eta$ supported on $I$. We prove quasi-compactness of the transfer operator cocycle and exponential decay of correlations for $\mu$. Finally, the escape rates of the random closed conformal measure and the RACCIM $\eta$ coincide, and are given in terms of the expected pressure, as is the Hausdorff dimension of the surviving set $X_{\omega,\infty}$. We provide examples of our general theory, including random $\beta$-transformations and random Lasota-Yorke maps.
Paper Prompts
Sign up for free to create and run prompts on this paper using GPT-5.
Top Community Prompts
Collections
Sign up for free to add this paper to one or more collections.