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This paper is devoted to the study of the topological pressure dimension for almost additive sequences, which is an extension of topological entropy dimension. We investigate fundamental properties of the topological pressure dimension for…

Dynamical Systems · Mathematics 2014-04-28 Lei Liu , Huajun Gong , Xiaoyao Zhou

In this paper I study properties of the generators $\triangle_\gamma$ of non-local Dirichlet forms $\mathcal{E}^\mu_\gamma$ on ultrametric spaces which are the path space of simple stationary Bratteli diagrams. The measures used to define…

Dynamical Systems · Mathematics 2026-05-15 Rodrigo Treviño

Given a Gibbs point process $\P^{\Psi}$ on $\R^d$ having a weak enough potential $\Psi$, we consider the random measures $\mu_\la := \sum_{x \in \P^{\Psi} \cap Q_\la} \xi(x, \P^{\Psi} \cap Q_\la) \delta_{x/\la^{1/d}}$, where $Q_{\la} :=…

Probability · Mathematics 2008-02-06 T. Schreiber , J. E. Yukich

We characterise the convergence of the Gibbs sampler which samples from the joint posterior distribution of parameters and missing data in hierarchical linear models with arbitrary symmetric error distributions. We show that the convergence…

Methodology · Statistics 2007-10-24 Omiros Papaspiliopoulos , Gareth Roberts

Let \(\mathcal{A}\) be a finite-dimensional real (or complex) C*-algebra, \(\Omega_{A}\) an aperiodic subshift of finite type, and \(\mathcal{C}(\Omega_{A}; \mathcal{A})\) the set of continuous functions from \(\Omega_{A}\) to…

Operator Algebras · Mathematics 2025-09-03 W. M. M. Braucks , A. O. Lopes

We show that the measure of maximal entropy for the hereditary closure of a $\mathscr{B}$-free subshift has the Gibbs property if and only if the Mirsky measure of the subshift is purely atomic. This answers an open question asked by…

Dynamical Systems · Mathematics 2024-03-18 Joanna Kułaga-Przymus , Michał Lemańczyk

We consider random multimodal $C^3$ maps with negative Schwarzian derivative, defined on a finite union of closed intervals in $[0,1]$, onto the interval $[0,1]$ with the base space $\Omega$ and a base invertible ergodic map…

Dynamical Systems · Mathematics 2021-07-16 Jason Atnip , Mariusz Urbański

Gibbs type priors have been shown to be natural generalizations of Dirichlet process (DP) priors used for intricate applications of Bayesian nonparametric methods. This includes applications to mixture models and to species sampling models…

Statistics Theory · Mathematics 2023-08-29 Lancelot F. James

A lattice system of interacting temperature loops, which is used in the Euclidean approach to describe equilibrium thermodynamic properties of an infinite system of interacting quantum particles performing anharmonic oscillations (quantum…

Mathematical Physics · Physics 2007-05-23 Yuri Kozitsky , Tatiana Pasurek

Countable Markov shifts, denoted by $\Sigma_A$ for a 0-1 infinite matrix $A$, are central objects in symbolic dynamics and ergodic theory. R. Exel and M. Laca introduced the corresponding operator algebras, a generalization of the…

Mathematical Physics · Physics 2021-01-08 Thiago Raszeja

We study the problem of estimating the maximal Lyapunov exponent of dominated cocycles. In particular we are concerned with cocycles over Gibbs states on shifts of finite type for which both the function defining the cocycle and the…

Dynamical Systems · Mathematics 2021-05-13 Mark Piraino

In this paper we present a new point of view on the mathematical foundations of statistical physics of infinite volume systems. This viewpoint is based on the newly introduced notions of transition energy function, transition energy field…

Probability · Mathematics 2019-09-13 S Dachian , B Nahapetian

Let $(X_{A},\sigma_{A})$ be a shift of finite type and $\text{Aut}(\sigma_{A})$ its corresponding automorphism group. Associated to $\phi \in \text{Aut}(\sigma_{A})$ are certain Lyapunov exponents $\alpha^{-}(\phi), \alpha^{+}(\phi)$ which…

Dynamical Systems · Mathematics 2018-03-13 Scott Schmieding

We consider one-parameter families of smooth uniformly contractive iterated function systems $\{f^\lambda_j\}$ on the real line. Given a family of parameter dependent measures $\{\mu_{\lambda}\}$ on the symbolic space, we study geometric…

Dynamical Systems · Mathematics 2022-02-04 Balázs Bárány , Károly Simon , Boris Solomyak , Adam Śpiewak

For any fixed alphabet A, the maximum topological entropy of a Z^d subshift with alphabet A is obviously log |A|. We study the class of nearest neighbor Z^d shifts of finite type which have topological entropy very close to this maximum,…

Dynamical Systems · Mathematics 2014-02-26 Ronnie Pavlov

We study geodesic flows over compact rank 1 manifolds and prove that sufficiently regular potential functions have unique equilibrium states if the singular set does not carry full pressure. In dimension 2, this proves uniqueness for scalar…

Dynamical Systems · Mathematics 2018-08-30 Keith Burns , Vaughn Climenhaga , Todd Fisher , Daniel J. Thompson

In the late seventies, Sullivan showed that for a convex cocompact subgroup $\Gamma$ of $\operatorname{SO}^\circ(n,1)$ with critical exponent $\delta>0$, any $\Gamma$-conformal measure on $\partial \mathbb{H}^n$ of dimension $\delta$ is…

Dynamical Systems · Mathematics 2022-01-31 Sam Edwards , Minju Lee , Hee Oh

In this paper, we study the properties of the scaled packing topological pressures for topological dynamical system $(X,G)$, where $G$ is a countable discrete infinite amenable group. We show that the scaled packing topological pressures…

Dynamical Systems · Mathematics 2024-07-19 Zubiao Xiao , Hongwei Jia , Zhengyu Yin

We provide another approach to Friedland's result that the topological entropy $h$ of a symmetric nearest-neighbor subshift is computable. Instead of the previous algebraic technique, our approach is mostly combinatorial and involves only…

Dynamical Systems · Mathematics 2026-05-19 Vuong Bui

This article is written for pedagogical purposes aiming at practitioners trying to estimate the finite support of continuous probability distributions, i.e., the minimum and the maximum of a distribution defined on a finite domain.…

Machine Learning · Computer Science 2023-03-23 Masataro Asai
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