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We introduce subshifts of quasi-finite type as a generalization of the well-known subshifts of finite type. This generalization is much less rigid and therefore contains the symbolic dynamics of many non-uniform systems, e.g., piecewise…

Dynamical Systems · Mathematics 2009-11-10 Jerome Buzzi

Let $\Theta=\{\theta_n\}, \Lambda=\{\lambda_n\}$ be two sequences of independent and identically distributed uniform random variables on $[0,1]$. The random vector-valued Weierstrass function is given by \[ f_{\Theta,\Lambda}(t)= \left(…

Classical Analysis and ODEs · Mathematics 2026-04-16 Jun Jason Luo , Zi-Rui Zhang

For a hyperbolic map f on a saddle type fractal Lambda with self-intersections, the number of f- preimages of a point x in Lambda may depend on x. This makes estimates of the stable dimensions more difficult than for diffeomorphisms or for…

Dynamical Systems · Mathematics 2013-01-10 Eugen Mihailescu , Bernd Stratmann

Statistical entropies of a general relativistic ideal gas obeying Maxwell-Boltzmann, Bose-Einstein and Fermi-Dirac statistics are calculated in a general axisymmetry space-time of arbitrary dimension. This general formation can be used to…

General Relativity and Quantum Cosmology · Physics 2007-05-23 S. Q. Wu , X. Cai

In this paper, we will introduce and study the lower moving digit mean $\underline{M}(x)$ and the upper moving digit mean $\overline{M}(x)$ of $x\in[0,1]$ in $p$-adic expansion, where $p\geq2$ is an integer. Moreover, the Hausdorff…

Number Theory · Mathematics 2018-09-24 Haibo Chen

The description of a closed quantum system is extended with the identification of an underlying substructure enabling an expanded formulation of dynamics in the Heisenberg picture. Between measurements a ``state point" moves in an…

Quantum Physics · Physics 2026-01-21 Anthony John Bracken

Time averaging over the trajectory of a wavepacket up to time T defines a statistical operator (density matrix). The corresponding (Von Neumann) entropy is proven to asymptotically increase with time like D.log T, with D the Hausdorff…

Mathematical Physics · Physics 2007-05-23 Italo Guarneri

We prove an analogue of a theorem of A. Pollington and S. Velani ('05), furnishing an upper bound on the Hausdorff dimension of certain subsets of the set of very well intrinsically approximable points on a quadratic hypersurface. The proof…

Number Theory · Mathematics 2017-09-18 Lior Fishman , Keith Merrill , David Simmons

Michael Barnsley introduced a family of fractals sets which are repellers of piecewise affine systems. The study of these fractals was motivated by certain problems that arose in fractal image compression but the results we obtained can be…

Dynamical Systems · Mathematics 2019-01-15 Balázs Bárány , Michał\ Rams , Károly Simon

In this paper, we study the Hausdorff dimension of self-similar measures and sets on the real line, where the generating iterated function system consists of some maps that share the same fixed point. In particular, we will show that out of…

Dynamical Systems · Mathematics 2025-07-09 Balázs Bárány , Manuj Verma

In this paper, we investigate the Hausdorff measure of shrinking target sets in $\beta$-dynamical systems. These sets are dynamically defined in analogy to the classical theory of weighted and multiplicative approximation. While the…

Dynamical Systems · Mathematics 2024-11-26 Yubin He

We describe the variation of the Minkowski, packing and Hausdorff dimensions of a set moving under a holomorphic motion, as well as the variation of its area. Our method provides a new, unified approach to various celebrated theorems about…

Complex Variables · Mathematics 2023-04-10 Aidan Fuhrer , Thomas Ransford , Malik Younsi

Wasserstein distortion is a one-parameter family of distortion measures that was recently proposed to unify fidelity and realism constraints. After establishing continuity results for Wasserstein in the extreme cases of pure fidelity and…

Information Theory · Computer Science 2024-01-31 Yang Qiu , Aaron B. Wagner

This paper presents an introduction to phase transitions and critical phenomena on the one hand, and nonequilibrium patterns on the other, using the Ginzburg-Landau theory as a unified language. In the first part, mean-field theory is…

Statistical Mechanics · Physics 2015-02-19 P. C. Hohenberg , A. P. Krekhov

As a model to provide a hands-on, elementary understanding of chaotic dynamics in dimension three, we introduce a $C^2$-open set of diffeomorphisms of $\mathbb R^3$ having two horseshoes with different dimensions of instability. We prove…

Dynamical Systems · Mathematics 2023-02-14 Yoshitaka Saiki , Hiroki Takahasi , James A. Yorke

The Jarn\'ik-Besicovitch theorem is a fundamental result in metric number theory which gives the Hausdorff dimension for limsup sets. We investigate a related problem of estimating the Hausdorff dimension of a liminf set. Let $h>0, \tau\geq…

Number Theory · Mathematics 2023-05-19 Mumtaz Hussain , Junjie Shi

Hausdorff dimension results are a classical topic in the study of path properties of random fields. This article presents an alternative approach to Hausdorff dimension results for the sample functions of a large class of self-affine random…

Probability · Mathematics 2021-06-15 Peter Kern , Ercan Sönmez

We systematically investigate examples of non-hyperbolic dynamical systems having irregular sets of full topological entropy and full Hausdorff dimension. The examples include some partially hyperbolic systems and geometric Lorenz flows. We…

Dynamical Systems · Mathematics 2022-02-16 Pablo G. Barrientos , Yushi Nakano , Artem Raibekas , Mario Roldan

We find formulas for the macroscopic Minkowski and Hausdorff dimensions of the range of an arbitrary transient walk in Z^d. This endeavor solves a problem of Barlow and Taylor (1991).

Probability · Mathematics 2014-11-03 Nicos Georgiou , Davar Khoshnevisan , Kunwoo Kim , Alex D. Ramos

Subspace representation is a fundamental technique in various fields of machine learning. Analyzing a geometrical relationship among multiple subspaces is essential for understanding subspace series' temporal and/or spatial dynamics. This…

Machine Learning · Computer Science 2024-09-16 Kazuhiro Fukui , Pedro H. V. Valois , Lincon Souza , Takumi Kobayashi