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In 1984 Boshernitzan proved an upper bound on the number of ergodic measures for a minimal subshift of linear block growth and asked if it could be lowered without further assumptions on the shift. We answer this question, showing that…

Dynamical Systems · Mathematics 2015-05-12 Van Cyr , Bryna Kra

To a subshift over a finite alphabet, one can naturally associate an infinite family of finite graphs, called its Rauzy graphs. We show that for a subshift of subexponential complexity the Rauzy graphs converge to the line $\mathbf{Z}$ in…

Dynamical Systems · Mathematics 2024-06-28 Paul-Henry Leemann , Tatiana Nagnibeda , Alexandra Skripchenko , Georgii Veprev

In this paper we develop a general ergodic approach which reveals the underpinnings of the effect of arithmetic operations involving normal and deterministic numbers. This allows us to recast in new light and amplify the result of Rauzy,…

Dynamical Systems · Mathematics 2025-06-17 Vitaly Bergelson , Tomasz Downarowicz

If $\mathcal{A}$ is a finite set (alphabet), the shift dynamical system consists of the space $\mathcal{A}^{\mathbb{N}}$ of sequences with entries in $\mathcal{A}$, along with the left shift operator $S$. Closed $S$-invariant subsets are…

Dynamical Systems · Mathematics 2020-03-05 Michael Damron , Jon Fickenscher

A subshift with linear block complexity has at most countably many ergodic measures, and we continue of the study of the relation between such complexity and the invariant measures. By constructing minimal subshifts whose block complexity…

Dynamical Systems · Mathematics 2019-02-26 Van Cyr , Bryna Kra

We prove a pointwise ergodic theorem for quasi-probability-measure-preserving (quasi-pmp) locally countable measurable graphs, equivalently, Schreier graphs of quasi-pmp actions of countable groups. For ergodic graphs, the theorem gives an…

Dynamical Systems · Mathematics 2023-08-29 Anush Tserunyan

In this paper we found an upper bound for the minimal quantifier depth of the first part of a monadic second-order sentence without asymptotic probability described by Jerzy Tyszkiewicz, which express the extension grid axiom in the…

Combinatorics · Mathematics 2018-02-15 Mickel González Sánchez , Maksim Evgenievich Zhukovskii

Ergodic optimization aims to describe dynamically invariant probability measures that maximize the integral of a given function. For a wide class of intrinsically ergodic subshifts over a finite alphabet, we show that the space of…

Dynamical Systems · Mathematics 2026-04-15 Mao Shinoda , Hiroki Takahasi , Kenichiro Yamamoto

We propose a new point of view on multidimensional continued fraction algorithms inspired by Rauzy induction. The generic behaviour of such an algorithm is described here as a random walk on a graph that we call simplicial system. These…

Dynamical Systems · Mathematics 2020-11-17 Charles Fougeron

We give a lower bound on the growth of a subshift based on a simple condition on the set of forbidden patterns defining that subshift. Aubrun et Al. showed a similar result based on the Lov\'asz Local Lemma for subshift over any countable…

Dynamical Systems · Mathematics 2024-06-06 Matthieu Rosenfeld

Random walk on changing graphs is considered. For sequences of finite graphs increasing monotonically towards a limiting infinite graph, we establish transition probability upper bounds. It yields sufficient transience criteria for simple…

Probability · Mathematics 2018-10-09 Ruojun Huang

At the beggining of the 80's, H.Masur and W.Veech started the study of generic properties of interval exchange transformations proving that almost every such transformation is uniquely ergodic. About the same time, S.Novikov's school and…

Dynamical Systems · Mathematics 2020-12-01 Ivan Dynnikov , Pascal Hubert , Alexandra Skripchenko

Boshernitzan found a decay condition on the measure of cylinder sets that implies unique ergodicity for minimal subshifts. Interest in the properties of subshifts satisfying this condition has grown recently, due to a connection with the…

Dynamical Systems · Mathematics 2020-06-04 Van Cyr , Bryna Kra

In 1976, Rauzy studied two complexity functions, $\underline{\beta}$ and $\overline{\beta}$, for infinite sequences over a finite alphabet. The function $\underline{\beta}$ achieves its maximum precisely for Borel normal sequences, while…

Information Theory · Computer Science 2025-06-09 Verónica Becher , Olivier Carton , Santiago Figueira

We bound the number of distinct minimal subsystems of a given transitive subshift of linear complexity, continuing work of Ormes and Pavlov [7]. We also bound the number of generic measures such a subshift can support based on its…

Dynamical Systems · Mathematics 2021-07-01 Andrew Dykstra , Nicholas Ormes , Ronnie Pavlov

Rank 1 inhomogeneous random graphs are a natural generalization of Erd\H{o}s R\'enyi random graphs. In this generalization each node is given a weight. Then the probability that an edge is present depends on the product of the weights of…

Probability · Mathematics 2021-07-28 Othmane Safsafi

Given a factor code $\pi$ from a shift of finite type $X$ onto a sofic shift $Y$, an ergodic measure $\nu$ on $Y$, and a function $V$ on $X$ with summable variation, we prove an invariant upper bound on the number of ergodic measures on $X$…

Dynamical Systems · Mathematics 2014-11-19 Jisang Yoo

We consider the Erd\H{o}s-R\'enyi evolution of random graphs, where a new uniformly distributed edge is added to the graph in every step. For every fixed $d\ge 1$, we show that with high probability, the graph becomes rigid in $\mathbb R^d$…

Combinatorics · Mathematics 2022-09-14 Alan Lew , Eran Nevo , Yuval Peled , Orit E. Raz

Thanks to works by M. Kontsevich and A. Zorich followed by C. Boissy, we have a classification of all Rauzy Classes of any given genus. It follows from these works that Rauzy Classes are closed under the operation of inverting the…

Dynamical Systems · Mathematics 2013-05-17 Jon Fickenscher

This paper extends the standard chaining technique to prove excess risk upper bounds for empirical risk minimization with random design settings even if the magnitude of the noise and the estimates is unbounded. The bound applies to many…

Machine Learning · Statistics 2016-09-08 Gábor Balázs , András György , Csaba Szepesvári
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