A Monte Carlo Null-Model Test of an Outer-Soddy Completion of the Koide Lepton Triple

Read the full article

Discuss this preprint

Start a discussion What are Sciety discussions?

Listed in

This article is not in any list yet, why not save it to one of your lists.
Log in to save this article

Abstract

The Koide relation \( Q = (\sum m_\ell)/(\sum \sqrt{m_\ell})^2 = 2/3 \) for the charged leptons has held to one part in \( 10^5 \) for over forty years without an accepted derivation and is widely regarded as numerology. This paper takes the relation as a clue rather than an endpoint. Treating lepton mass square roots as Descartes-circle curvatures, the outer root of the Descartes quadratic equals the closed form \( \mathcal{F} = e_1 - \sqrt{p_2} \) when Koide holds exactly (Proposition 1); equivalently, \( \mathcal{F}^2 = \alpha_K^2\,\mu_\star \) with \( \alpha_K^2 = 5/2 - \sqrt{6} \) and \( \mu_\star = \sum_\ell m_\ell \) the lepton-sum scale. The three-input symmetric-polynomial identity thus collapses to one dimensionless Koide-determined constant times the lepton-sum scale. Kocik [1] first observed a Descartes-like reading of Koide; our mutually-tangent variant is mathematically distinct but follows the same geometric spirit. The four-curvature completion carries a testable consequence absent from the bare three-mass relation: evaluating the squared fourth curvature numerically, \( \mathcal{F}^2 = 95.113 \) MeV, and comparing against the strange-quark \( \bar{MS} \) mass at \( \mu_\star \) within current lattice precision yields a residual of \( +0.04 \) MeV against \( \pm 0.69 \) MeV, about \( +0.06\sigma \). The lepton-side quantity is fixed to better than \( 0.01\% \); future lattice improvements will sharpen or refute the present numerical agreement. To our knowledge this paper implements the first Monte Carlo null test of the Koide relation under a random-spectrum prior; a Koide-conditioned null-model calibration across four prior shapes pre-registered for the analysis gives hit fractions at the sub-percent level — model-conditional frequencies, not \( p \)-values. Scale, input, prior, and filter sensitivities, together with the error budget, are reported; full Monte Carlo protocols, numerical output, and pre-registration are in a companion methods note [2].

Article activity feed