Two Dimensional Discrete Dynamics of Integral Value Transformations
Jayanta Kumar Das, Sudhakar Sahoo, Sk. Sarif Hassan, Pabitra Pal, Choudhury

TL;DR
This paper introduces and analyzes two-dimensional integral value transformations (IVTs) over natural numbers, exploring their algebraic dynamics, cycle structures, and dependence on Boolean functions, with implications for higher-dimensional systems.
Contribution
It systematically studies 2D IVTs using Boolean functions, identifies Collatz-like IVTs, and examines their dynamical properties and cycle structures, advancing understanding of their algebraic and dynamical behavior.
Findings
Dynamics depend on Boolean function state transitions
Identified 16 Collatz-like IVTs in 2D
Studied attractors with cycles of various lengths
Abstract
A notion of dimension preservative map, \textit{Integral Value Transformations} (IVTs) is defined over using the set of -adic functions. Thereafter, two dimensional \textit{Integral Value Transformations} (IVTs) is systematically analyzed over using pair of two variable Boolean functions. The dynamics of IVTs over is studied from algebraic perspective. It is seen that the dynamics of the IVTs solely depends on the dynamics (state transition diagram) of the pair of two variable Boolean functions. A set of sixteen \textit{Collatz-like} IVTs are identified in two dimensions. Also, the dynamical system of IVTs having attractor with one, two, three and four cycles are studied. Additionally, some quantitative information of \textit{Integral Value Transformations} (IVTs) in different bases and…
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Taxonomy
TopicsBenford’s Law and Fraud Detection · Computability, Logic, AI Algorithms · advanced mathematical theories
