Coefficient Dynamics and Stable Convergence Ratios in Fourth-Order Linear Recurrence Relations

This research paper investigates the coefficient dynamics and stable convergence limits within a specific family of fourth-order linear recurrence relations under a unitary initialization matrix. It demonstrates the mathematical behavior and trajectory shifts when the structural multiplier varies from 1 to 10. It also outlines the inverse prediction model for fixed ratio outputs and discusses potential software applications in digital filter stability and cryptography.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-31
DOI
https://doi.org/10.5281/zenodo.23831423
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
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article

Coefficient Dynamics and Stable Convergence Ratios in Fourth-Order Linear Recurrence Relations

Nandkishor prajapat
Zenodo (CERN European Organization for Nuclear Research)
Matrix Theory and Algorithms
article

Coefficient Dynamics and Stable Convergence Ratios in Fourth-Order Linear Recurrence Relations

Nandkishor prajapat
article en

Abstract

This research paper investigates the coefficient dynamics and stable convergence limits within a specific family of fourth-order linear recurrence relations under a unitary initialization matrix. It demonstrates the mathematical behavior and trajectory shifts when the structural multiplier varies from 1 to 10. It also outlines the inverse prediction model for fixed ratio outputs and discusses potential software applications in digital filter stability and cryptography.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 13%
Matrix Theory and Algorithms
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Coefficient Dynamics and Stable Convergence Ratios in Fourth-Order Linear Recurrence Relations — Nandkishor prajapat · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS