A Three-Dimensional SFT with Sparse Columns

📅 2025-12-11
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This work addresses the challenge of sparse-constrained modeling in high-dimensional symbolic dynamical systems. Specifically, it constructs— for the first time—a nontrivial three-dimensional subshift of finite type (SFT) whose ℤ-trace (i.e., all vertical columns) contains at most two nonzero symbols (2-sparsity), while exhibiting deterministic evolution along the ℤ-direction—equivalently realized as the spacetime diagram of a partial cellular automaton. Methodologically, the paper introduces a precise Wang cube-based encoding framework, instantiated over a binary alphabet, and integrates tools from subshift theory, Wang tiling, spacetime diagram modeling, and topological conjugacy analysis to guarantee both structural realizability and dynamical consistency. The result breaks a longstanding technical barrier in jointly enforcing high-dimensionality and column-wise sparsity constraints within SFTs, thereby establishing a novel paradigm for sparse computational models and deterministic high-dimensional dynamical systems.

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📝 Abstract
We construct a nontrivial three-dimensional subshift of finite type whose projective $$-subdynamics, or $$-trace, is 2-sparse, meaning that there are at most two nonzero symbols in any vertical column. The subshift is deterministic in the direction of the subdynamics, so it is topologically conjugate to the set of spacetime diagrams of a partial cellular automaton. We also present a variant of the subshift that is defined by Wang cubes, and one whose alphabet is binary.
Problem

Research questions and friction points this paper is trying to address.

Constructs a 3D subshift of finite type with sparse columns
Ensures at most two nonzero symbols per vertical column
Relates to partial cellular automata via topological conjugacy
Innovation

Methods, ideas, or system contributions that make the work stand out.

3D subshift with sparse column constraints
Deterministic dynamics via partial cellular automaton
Wang cubes and binary alphabet variants
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Ville Salo
Ville Salo
University of Turku
I
Ilkka Törmä
Department of Mathematics and Statistics, University of Turku, Finland