Contemporary Mathematics and Applications (ConMathA)
Vol. 8 No. 2 (2026)

The Illusion of Permanence: A Superposition Model of Technology Adoption and Displacement with Closed-Form Conditions for Peak Deception

Farai Nyabadza (University of Johannesburg)



Article Info

Publish Date
01 Sep 2026

Abstract

Technologies that attain high adoption on a given value axis, the dimension of human need they address, frequently exhibit what we term the ‘illusion of permanence’: a local adoption maximum that observers systematically misinterpret as a stable equilibrium. We formalise this phenomenon through the Adoption-Decay Superposition Model (ADSM), in which each technology’s market share is expressed as the product of a logistic growth term and an exponential decay envelope activated by the emergence of a superior competitor. We derive the Illusion Point, the exact moment at which adoption is maximised and the impending decline is least visible. From this we introduce two derived indices; the Illusion Strength Index (ISI) and the Displacement Susceptibility (DS). Formal theorems establish that every technology with a positive decay parameter must eventually relinquish dominance, and that switching costs prolong the illusion without averting it. Four empirical cases, SMS, the ‘Please Call Me’ callback feature, BlackBerry Messenger, and the fax machine, are parametrised and simulated in MATLAB. A Conservation Principle is stated, linking individual technology decline to the bounded capacity of any shared value axis. The model provides a foundation for anticipating displacement, evaluating technological lock-in, and understanding why dominant technologies consistently fail to foresee their own decline.

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Journal Info

Abbrev

CONMATHA

Publisher

Subject

Materials Science & Nanotechnology Mathematics

Description

Contemporary Mathematics and Applications welcome research articles in the area of mathematical analysis, algebra, optimization, mathematical modeling and its applications include but are not limited to the following topics: general mathematics, mathematical physics, numerical analysis, ...