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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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The 366–592–958 Triangle Nodes: Optimal Seed for Lucas Sequence Convergence to the Golden Ratio

Authors: el Issaoui, Bilal;

The 366–592–958 Triangle Nodes: Optimal Seed for Lucas Sequence Convergence to the Golden Ratio

Abstract

This paper identifies and formally proves the optimal starting pair for Lucas sequence convergence to the Golden Ratio φ = (1+√5)/2 within the 19-9 linear Diophantine system (N = 19A + 9B). The three attractor values 366, 592, and 958 satisfy 366 + 592 = 958 and form a closed triangle. The seed ratio 592/366 ≈ 1.61749 deviates from φ by only 5.48 × 10⁻⁴ — yielding a stable advantage of 8–9 iterations over the standard Fibonacci sequence (1,1) at every precision level from 10⁻³ to 10⁻¹². The advantage is analytically derived as log_{φ²}(2958) ≈ 8.4 steps and confirmed computationally through 19 verified steps reaching 10⁻¹¹ precision. When applied to Newton-Raphson iteration, the same seed saves 4 iterations at every scale. All results are reproducible via included Python source code.

Keywords

Golden Ratio, phi, Lucas sequence, Fibonacci sequence, Newton-Raphson, optimal seed, convergence rate, 19-9 system, linear Diophantine equation, attractor triangle, 366-592-958, digital root, rational approximation, high-precision computation, iterative methods

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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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