The MSJS Paradigm: A Universal Finite-State Abstraction for Discrete Dynamical Systems and Cryptographic Applications

I present a fundamental paradigm shift in the analysis of discrete dynamical systems, formalized through the MSJS (Modular Special Jump System) framework.I demonstrate that the apparent complexity of iterative maps, exemplified by theCollatz conjecture, is an artifact of scale, not structure. By rigorously decouplingthe ”pattern” (the finite-state core) from the ”magnitude” (the scaling factor), Iprove that the dynamics are governed entirely by a closed, finite-state transducer.This leads to a universal criterion: any discrete system whose lower-order evolution is independent of its higher-order terms is inherently reducible to a finiteautomaton. Consequently, the problem of infinite convergence is transformed intoa finite combinatorial verification. I extend this principle beyond number theory,establishing a novel framework for Algorithmic Design and Cryptographic One-WayFunctions, leveraging the inherent asymmetry between forward computational easeand backward state reconstruction.This is a preprint version. The proof is presented in full and is open for peer reviewand discussion

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-07-16
DOI
https://doi.org/10.5281/zenodo.21399513
Primary Topic
Polynomial and algebraic computation
Type
article
Field-Weighted Citation Impact
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article

The MSJS Paradigm: A Universal Finite-State Abstraction for Discrete Dynamical Systems and Cryptographic Applications

mahmoud sabri jaber (sobeh)
Zenodo (CERN European Organization for Nuclear Research)
Polynomial and algebraic computation
article

The MSJS Paradigm: A Universal Finite-State Abstraction for Discrete Dynamical Systems and Cryptographic Applications

mahmoud sabri jaber (sobeh)
article en

Abstract

I present a fundamental paradigm shift in the analysis of discrete dynamical systems, formalized through the MSJS (Modular Special Jump System) framework.I demonstrate that the apparent complexity of iterative maps, exemplified by theCollatz conjecture, is an artifact of scale, not structure. By rigorously decouplingthe ”pattern” (the finite-state core) from the ”magnitude” (the scaling factor), Iprove that the dynamics are governed entirely by a closed, finite-state transducer.This leads to a universal criterion: any discrete system whose lower-order evolution is independent of its higher-order terms is inherently reducible to a finiteautomaton. Consequently, the problem of infinite convergence is transformed intoa finite combinatorial verification. I extend this principle beyond number theory,establishing a novel framework for Algorithmic Design and Cryptographic One-WayFunctions, leveraging the inherent asymmetry between forward computational easeand backward state reconstruction.This is a preprint version. The proof is presented in full and is open for peer reviewand discussion

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Polynomial and algebraic computation
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The MSJS Paradigm: A Universal Finite-State Abstraction for Discrete Dynamical Systems and Cryptographic Applications — mahmoud sabri jaber (sobeh) · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS