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Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY NC ND
Data sources: Datacite
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State-Space Mathematical Formalization of Deterministic Creation–Degradation Systems A Compact Internal-State Theory for MIDF–MCF Dynamics Without Probabilistic Assumptions

Authors: Manassero, Sebastian Héctor;

State-Space Mathematical Formalization of Deterministic Creation–Degradation Systems A Compact Internal-State Theory for MIDF–MCF Dynamics Without Probabilistic Assumptions

Abstract

This work provides a compact, equation-based state-space formalization of the Manassero deterministic frameworks for creation and degradation. Internal damage and recovery are modeled as coupled state variables evolving under physically driven fluxes. The formulation unifies irreversible degradation (MIDF) and regenerative or creation-dominated processes (MCF) within a single dynamical system, offering a deterministic alternative to probabilistic reliability and fatigue models. No statistical fitting, stochastic processes, or probability density functions are employed. The paper is designed as a high-citability mathematical reference. LICENSE Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY-NC-ND 4.0) © 2026 Sebastián Héctor Manassero sebastianhectormanassero@gmail.com Manassero, S. H. (2026). THE MANASSERO LAW: DETERMINISTIC CREATION–DEGRADATION SYSTEMS A Unified Operational Framework for MIDF, MCF, and Coupled Dynamics. Zenodo. https://doi.org/10.5281/zenodo.18447608

Keywords

Manassero Internal Degradation Framework MIDF Manassero Creation Framework MCF Deterministic degradation Creation–degradation dynamics Internal state dynamics State-space modeling Non-probabilistic reliability Mechanical fatigue Electrical aging Thermal degradation Predictive maintenance Digital twins Lifecycle modeling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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