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We study two-dimensional subshifts whose horizontal trace (a.k.a. projective subdynamics) contains only points of finite support. Our main result is a classification result for such subshifts satisfying a minimality property. As…

Dynamical Systems · Mathematics 2019-02-05 Ville Salo

The goal of this chapter is to illustrate a generalization of the Fibonacci word to the case of 2-dimensional configurations on $\mathbb{Z}^2$. More precisely, we consider a particular subshift of $\mathcal{A}^{\mathbb{Z}^2}$ on the…

Dynamical Systems · Mathematics 2025-07-25 Sébastien Labbé

Using a deterministic version of the self-similar (or hierarchical, or fixed-point ) method for constructing 2-dimensional subshifts of finite type (SFTs), we construct aperiodic 2D SFTs with a unique direction of non-expansiveness and…

Dynamical Systems · Mathematics 2016-03-18 Charalampos Zinoviadis

The trace subshift of a cellular automaton is the subshift of all possible columns that may appear in a space-time diagram, ie the infinite sequence of states of a particular cell of a configuration; in the language of symbolic dynamics one…

Dynamical Systems · Mathematics 2007-05-23 Julien Cervelle , Enrico Formenti , Pierre Guillon

Let $X\subset A^{Z^d}$ be a $2$-dimensional subshift of finite type. We prove that any $2$-dimensional multidimensional subshift of finite type can be characterized by a square matrix of infinite dimension. We extend our result to a general…

Dynamical Systems · Mathematics 2016-03-03 Puneet Sharma , Dileep Kumar

In this paper we study the directions of periodicity of three-dimensional subshifts of finite type (SFTs) and in particular their slopes. A configuration of a subshift has a slope of periodicity if it is periodic in exactly one direction,…

Discrete Mathematics · Computer Science 2018-06-20 Etienne Moutot , Pascal Vanier

We present constructions of countable two-dimensional subshifts of finite type (SFTs) with interesting properties. Our main focus is on properties of the topological derivatives and subpattern posets of these objects. We present a countable…

Dynamical Systems · Mathematics 2013-10-03 Ville Salo , Ilkka Törmä

A multidimensional sofic shift is called countably covered if it has an SFT cover containing only countably many configurations. In contrast to the one-dimensional setting, not all countable sofic shifts are countably covered. We…

Dynamical Systems · Mathematics 2025-10-20 Ilkka Törmä

This paper presents a general and systematic discussion of various symbolic representations of iterated maps through subshifts. We give a unified model for all continuous maps on a metric space, by representing a map through a general…

Chaotic Dynamics · Physics 2007-05-23 Xin-Chu Fu , Weiping Lu , Peter Ashwin , Jinqiao Duan

To each one-dimensional subshift $X$, we may associate a winning shift $W(X)$ which arises from a combinatorial game played on the language of $X$. Previously it has been studied what properties of $X$ does $W(X)$ inherit. For example, $X$…

Formal Languages and Automata Theory · Computer Science 2022-06-15 Jarkko Peltomäki , Ville Salo

In this article, we study classes of multidimensional subshifts defined by multihead finite automata, in particular the hierarchy of classes of subshifts defined as the number of heads grows. The hierarchy collapses on the third level,…

Formal Languages and Automata Theory · Computer Science 2014-08-29 Ville Salo , Ilkka Törmä

We study two relations on multi-dimensional subshifts: A pre-order based on the patterns configurations contain and the Cantor-Bendixson rank. We exhibit several structural properties of two-dimensional subshifts: We characterize the…

Dynamical Systems · Mathematics 2013-09-25 Alexis Ballier , Emmanuel Jeandel

We introduce a partial decidability protocol for the Wang tiling problem (which is the prototype of undecidable problems in combinatorics and statistical physics) by constructing a suitable mapping from tilings of finite squares of…

Statistical Mechanics · Physics 2025-12-10 Fabrizio Canfora , Marco Cedeno

We propose random matrix models which have $N=\half$ supersymmetry in zero dimension. The supersymmetry breaks down spontaneously. It is shown that the double scaling limit can be defined in these models and the breakdown of the…

High Energy Physics - Theory · Physics 2015-06-26 Shin'ichi Nojiri

We study Nivat's conjecture on algebraic subshifts and prove that in some of them every low complexity configuration is periodic. This is the case in the Ledrappier subshift (the 3-dot system) and, more generally, in all two-dimensional…

Dynamical Systems · Mathematics 2018-06-20 Jarkko Kari , Etienne Moutot

We show that in the category of effective $Z$ dynamical systems there is a universal system, i.e. one that factors onto every other effective system. In particular, for d $\geq 3$ there exist d-dimensional shifts of finite type which are…

Dynamical Systems · Mathematics 2014-09-23 Michael Hochman

We study the parametrized complexity of fundamental relations between multidimensional subshifts, such as equality, conjugacy, inclusion, and embedding, for subshifts of finite type (SFTs) and effective subshifts. We build on previous work…

Dynamical Systems · Mathematics 2026-02-16 Nicanor Carrasco-Vargas , Benjamin Hellouin de Menibus , Rémi Pallen

We study the computational and structural aspects of countable two-dimensional SFTs and other subshifts. Our main focus is on the topological derivatives and subpattern posets of these objects, and our main results are constructions of…

Computational Complexity · Computer Science 2012-08-15 Ville Salo , Ilkka Törmä

In this paper a deterministic sparse Fourier transform algorithm is presented which breaks the quadratic-in-sparsity runtime bottleneck for a large class of periodic functions exhibiting structured frequency support. These functions…

Numerical Analysis · Mathematics 2017-11-21 Sina Bittens , Ruochuan Zhang , Mark A. Iwen

We investigate the use of sparse coding and dictionary learning in the context of multitask and transfer learning. The central assumption of our learning method is that the tasks parameters are well approximated by sparse linear…

Machine Learning · Computer Science 2014-06-17 Andreas Maurer , Massimiliano Pontil , Bernardino Romera-Paredes
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