Table of Contents
Fetching ...

A Study of Directional Entropy Arising from \(\mathbb{Z} \times \mathbb{Z}_+\) Semigroup Actions

Hasan Akin

TL;DR

This work analyzes directional entropy for $\ Z \times \nZ_+$ semigroup actions generated by a one-dimensional linear cellular automaton and a shift map on $\nZ_m^{\nZ}$. It develops both measure-theoretic (MTDE) and topological (TDE) directional entropy frameworks, deriving rigorous bounds for Bernoulli and Markov measures and obtaining explicit angle-dependent formulas for TDE over rings $\nZ_m$. The results reveal directional anisotropy in entropy, with tractable expressions in terms of local-rule permutivity, ring structure, and direction, and they illustrate these phenomena via concrete examples over primes and prime-power rings. By decomposing general rings into prime-power components and applying weak addition, the paper provides a unified approach to computing MTDE and TDE for $\mathbb{Z}^2$-actions arising from 1D LCAs and shifts, offering concrete benchmarks and guidance for future explorations of directional entropy in more complex CA-driven systems.

Abstract

In this chapter, we investigate directional entropy for semigroup actions generated by one-dimensional linear cellular automata (LCAs) and the shift transformation on the compact metric space $\mathbb{Z}_m^{\mathbb{N}}$. This work provides a systematic study of both \emph{topological directional entropy} (TDE) within Milnor's geometric framework and \emph{measure-theoretic directional entropy} via the Kolmogorov--Sinai formalism.

A Study of Directional Entropy Arising from \(\mathbb{Z} \times \mathbb{Z}_+\) Semigroup Actions

TL;DR

This work analyzes directional entropy for semigroup actions generated by a one-dimensional linear cellular automaton and a shift map on . It develops both measure-theoretic (MTDE) and topological (TDE) directional entropy frameworks, deriving rigorous bounds for Bernoulli and Markov measures and obtaining explicit angle-dependent formulas for TDE over rings . The results reveal directional anisotropy in entropy, with tractable expressions in terms of local-rule permutivity, ring structure, and direction, and they illustrate these phenomena via concrete examples over primes and prime-power rings. By decomposing general rings into prime-power components and applying weak addition, the paper provides a unified approach to computing MTDE and TDE for -actions arising from 1D LCAs and shifts, offering concrete benchmarks and guidance for future explorations of directional entropy in more complex CA-driven systems.

Abstract

In this chapter, we investigate directional entropy for semigroup actions generated by one-dimensional linear cellular automata (LCAs) and the shift transformation on the compact metric space . This work provides a systematic study of both \emph{topological directional entropy} (TDE) within Milnor's geometric framework and \emph{measure-theoretic directional entropy} via the Kolmogorov--Sinai formalism.
Paper Structure (14 sections, 8 theorems, 91 equations, 12 figures)

This paper contains 14 sections, 8 theorems, 91 equations, 12 figures.

Key Result

theorem 1

Sinai1985 Let $p>0, q>0$ have no common factor. Then for any interval $I = I(a,-q/p)$.

Figures (12)

  • Figure 1: The segment $I(a,\omega)$ on the plane joining the points $(a, 0)$ and $(a +\omega^{-l}, 1)$.
  • Figure 2: The graph of the entropy function given in \ref{['exam-MTDE-eq1']}.
  • Figure 3: The graph of the entropy function given in \ref{['exam-MTDE-eq2']}.
  • Figure 4: The graphs of the functions $|z_l|$ and $|z_r|$ associated with the local rule \ref{['exam-MTDE-eq2']}.
  • Figure 5: The graph of function $h_{\vec{v}}(\Phi )$ given in \ref{['MTE-EXAM3a']} in the interval $[0,\pi]$.
  • ...and 7 more figures

Theorems & Definitions (17)

  • definition 1
  • definition 2
  • theorem 1
  • definition 3
  • proposition 1
  • theorem 2
  • theorem 3
  • proof
  • theorem 4
  • proof
  • ...and 7 more