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Dynamical systems can be analyzed via their Frobenius-Perron transfer operator and its estimation from data is an active field of research. Recently entropic transfer operators have been introduced to estimate the operator of deterministic…

Dynamical Systems · Mathematics 2026-01-26 Hancheng Bi , Clément Sarrazin , Bernhard Schmitzer , Thilo D. Stier

We introduce complex cones and associated projective gauges, generalizing a real Birkhoff cone and its Hilbert metric to complex vector spaces. We deduce a variety of spectral gap theorems in complex Banach spaces. We prove a dominated…

Dynamical Systems · Mathematics 2011-02-22 Hans Henrik Rugh

We investigate spectral properties of a 1-dimensional piecewise linear intermittent map, which has not only a marginal fixed point but also a singular structure suppressing injections of the orbits into neighborhoods of the marginal fixed…

Chaotic Dynamics · Physics 2009-11-13 Tomoshige Miyaguchi , Yoji Aizawa

We consider transformations preserving a contracting foliation, such that the associated quotient map satisfies a Lasota-Yorke inequality. We prove that the associated transfer operator, acting on suitable normed spaces, has a spectral gap…

Dynamical Systems · Mathematics 2025-04-23 Stefano Galatolo , Rafael Lucena

We introduce the notion of Benjamini-Schramm convergence for quantum graphs. This notion of convergence, intended to play the role of the already existing notion for discrete graphs, means that the restriction of the quantum graph to a…

Spectral Theory · Mathematics 2020-08-14 Nalini Anantharaman , Maxime Ingremeau , Mostafa Sabri , Brian Winn

The aim of this paper is to investigate the spectral theory of unimodular random graphs and graphings representing them. We prove that Bernoulli graphings are relatively Ramanujan with respect to their skeleton Markov chain. That is, the…

Probability · Mathematics 2025-10-17 Héctor Jardón-Sánchez , László Márton Tóth

Many signals evolve in time as a stochastic process, randomly switching between states over discretely sampled time points. Here we make an explicit link between the underlying stochastic process of a signal that can take on a bounded…

Machine Learning · Statistics 2026-05-11 Stefan Klus , Jason J. Bramburger

We examine a wide class of stochastic approximation algorithms for solving (stochastic) nonlinear problems on Riemannian manifolds. Such algorithms arise naturally in the study of Riemannian optimization, game theory and optimal transport,…

Optimization and Control · Mathematics 2022-12-29 Mohammad Reza Karimi , Ya-Ping Hsieh , Panayotis Mertikopoulos , Andreas Krause

In the present paper the Renormalization Group (RG) method is adopted as a tool for a constructive analysis of the properties of the Frobenius-Perron Operator. The renormalization group reduction of a generic symplectic map in the case,…

Chaotic Dynamics · Physics 2007-05-23 Stephan I. Tzenov

Unlike most publications devoted to the application of the self-consistent method of the nonlinear Vlasov-Poisson system to the study of beam-beam interaction, in this article an alternative strategy using the elegant approach of the…

Accelerator Physics · Physics 2025-11-27 Stephan I. Tzenov

We study the spectral gap behavior of an operator obtained by summing a random permutation $M$ and a deterministic bistochastic matrix $Q$. We are interested in the asymptotic in terms of dimension. In the case where $(M,Q)$ are…

Probability · Mathematics 2026-02-05 Sarah Timhadjelt

We consider certain non-integer base $\beta$-expansions of Parry's type and we study various properties of the transfer (Perron-Frobenius) operator $\mathcal{P}:L^p([0,1])\mapsto L^p([0,1])$ with $p\geq 1$ and its associated composition…

Spectral Theory · Mathematics 2026-05-19 Horia D. Cornean , Ira W. Herbst , Giovanna Marcelli

We introduce the notion of order-preserving multi-homogeneous mapping which allows to study Perron-Frobenius type theorems and nonnegative tensors in unified fashion. We prove a weak and strong Perron-Frobenius theorem for these maps and…

Spectral Theory · Mathematics 2017-02-13 Antoine Gautier , Francesco Tudisco , Matthias Hein

We study the spectrum of transfer operators associated to various dynamical systems. Our aim is to obtain precise information on the discrete spectrum. To this end we propose a unitary approach. We consider various settings where new…

Dynamical Systems · Mathematics 2021-12-15 Oliver Butterley , Niloofar Kiamari , Carlangelo Liverani

The generalized spectral theory is an effective approach to analyze a linear operator on a Hilbert space $\mathcal{H}$ with a continuous spectrum. The generalized spectrum is computed via analytic continuations of the resolvent operators…

Dynamical Systems · Mathematics 2021-06-24 Hayato Chiba , Masahiro Ikeda , Isao Ishikawa

Sparse graphs with bounded average degree form a rich class of discrete structures where local geometry strongly influences global behavior. The Benjamini-Schramm (BS) convergence offers a natural framework to describe their asymptotic…

Probability · Mathematics 2025-10-14 Charles Bordenave

For smooth random dynamical systems we consider the quenched linear and higher-order response of equivariant physical measures to perturbations of the random dynamics. We show that the spectral perturbation theory of Gou\"ezel, Keller, and…

Dynamical Systems · Mathematics 2021-05-25 Harry Crimmins , Yushi Nakano

Maps on a parameter space for expressing distribution functions are exactly derived from the Perron-Frobenius equations for a generalized Boole transform family. Here the generalized Boole transform family is a one-parameter family of maps…

Mathematical Physics · Physics 2018-04-18 Shin-itiro Goto , Ken Umeno

In this paper, we deal with a notion of Banach space-valued mappings defined on a set consisting of finite graphs with uniformly bounded vertex degree. These functions will be endowed with certain boundedness and additivity criteria. We…

Combinatorics · Mathematics 2015-01-14 Felix Pogorzelski

We study the approximation of functions which are invariant with respect to certain permutations of the input indices using flow maps of dynamical systems. Such invariant functions includes the much studied translation-invariant ones…

Machine Learning · Computer Science 2022-08-19 Qianxiao Li , Ting Lin , Zuowei Shen