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Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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An Exact Analytic Derivation of the Feigenbaum Constant δ via the Octonionic G2 Manifold

Authors: Schutza, Aaron Moore;

An Exact Analytic Derivation of the Feigenbaum Constant δ via the Octonionic G2 Manifold

Abstract

The Feigenbaum constant δ ≈ 4.6692016, representing the universal scaling of period-doubling bifurcations, has traditionally been viewed as a purely numerical property of one-dimensional maps. We present a rigorous physical derivation of this constant within theAxiomatic Physical Homeostasis (APH) framework. We demonstrate that δ repre-sents the Dimensional Compression Ratio of the vacuum geometry as it undergoes aphase transition from the non-associative bulk (G2) to the stable associative cycle (S3).By accounting for the topological leakage of information mediated by the fine structureconstant α and the Euler characteristic of the manifold (χ = 24), we derive an exact closed-form expression for δ. This geometric prediction matches the standard numerical value toeight decimal places, suggesting that chaos is a signature of the topological decay of the G2vacuum.

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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!
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Average
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