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Preprint . 2025
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2025
License: CC BY
Data sources: Datacite
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Operational Geometry: Taxonomy - A Process-Ecological Framework for Mathematical Structure

Authors: Zelenka, David D.;

Operational Geometry: Taxonomy - A Process-Ecological Framework for Mathematical Structure

Abstract

We present a foundational reimagining of mathematics where operations are ontologically primary and objects emerge as stable attractors of iterative processes. Mathematical constants arise as fixed points of “threading aggregates”--nested op-erational patterns where each iteration threads through previous results until stabilization. The Ωp hierarchy (ϕ, Ω3, Ω5 . . .) represents threading attractors at increasing depths, explaining why these constants appear ubiquitously in physical systems: nature converges to the same operational attractors. Treating mathematics as an evolving ecosystem, we taxonomize operations as verbs, constants as species, and properties as traits, revealing ecological relationships (competition, mutualism, succession) governing mathematical structure. This framework transforms pedagogy from memorization to process understanding, resolves the “unreasonable effectiveness” of mathematics (physics and mathematics share operational substrate), and generates testable predictions. Mathematics becomes the natural history of operational space.

Keywords

FOS: Mathematics, Mathematics

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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
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