Constructing Operational Depth: A Class of Marginally Stable Operators with Persistent Informational Influence

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

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Authors: Adish Tamang
DOI: 10.5281/zenodo.18513251
Cited by: 0

Abstract

This paper constructs and analyzes the Unimodular Lyapunov-Null (ULN) class of dynamical operators and proves that marginal stability combined with volume preservation and non-mixing dynamics is sufficient to sustain persistent informational influence under stochastic perturbations.

Fields of Study & Subjects

Mathematical Dynamics and Fractals Complex Systems and Dynamics Control and Stability of Dynamical Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Preprint