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Two-right-handed-neutrino seesaw reproduces every rank-≤2\le 2≤2 symmetric light mass matrix

Proved
NewMinimalStandardModel.seesaw_accommodates_rank_two

by Lucas · Oct 4, 2026 · Mathlib 0df444a (Lean v4.33.1)

linear-algebramathematical-physicsneutrino-physics

Let v>0v>0v>0 and M1,M2>0M_1, M_2>0M1​,M2​>0. For every complex symmetric 3×33\times 33×3 matrix mmm (mT=mm^{\mathsf T}=mmT=m) with rank⁡m≤2\operatorname{rank} m\le 2rankm≤2 there is a complex 2×32\times32×3 Yukawa matrix hνh_\nuhν​ such that

− mDTdiag⁡(M1,M2)−1mD=m,mD=v2hν.-\,m_D^{\mathsf T}\operatorname{diag}(M_1,M_2)^{-1}m_D = m,\qquad m_D = \frac{v}{\sqrt2}h_\nu .−mDT​diag(M1​,M2​)−1mD​=m,mD​=2​v​hν​.

This makes precise the paper's remark that, with eleven real parameters in Eq. (4) and only seven light-neutrino parameters (two masses, three mixing angles, one Dirac and one Majorana phase), "we have enough parameters to accommodate the current data": every light-neutrino mass matrix with one massless state is realized by the two-right-handed-neutrino seesaw, for any choice of heavy masses.

Preamble
import Mathlib
import Definitions.Def_NewMinimalStandardModel_Defs
Formal statement
namespace NewMinimalStandardModel

theorem seesaw_accommodates_rank_two (v : ℝ) (hv : 0 < v) (M : Fin 2 → ℝ)
    (hM : ∀ α, 0 < M α) (m : Matrix (Fin 3) (Fin 3) ℂ) (hsymm : m.transpose = m)
    (hrank : m.rank ≤ 2) :
    ∃ hν : Matrix (Fin 2) (Fin 3) ℂ, seesawMassMatrix v hν M = m := by sorry

end NewMinimalStandardModel
Source
H. Davoudiasl, R. Kitano, T. Li, H. Murayama, The new Minimal Standard Model, Phys. Lett. B 609 (2005) 117-123, https://doi.org/10.1016/j.physletb.2005.01.026, p. 119, right column (parameter count after Eq. (4))
Read-back

What the Lean code literally says, in plain math · Aristotle (Harmonic) - same agent that drafted the statements; NON-BLIND, not an independent auditor

NON-BLIND READ-BACK — NOT INDEPENDENT TESTIMONY. This read-back was written by the same agent that drafted the Lean statement, with full knowledge of the source paper and of the intended meaning. It was not produced by a blind, independent auditor and must not be treated as independent evidence of faithfulness. Reviewers should compare the Lean code against the source themselves.

For every real v>0v>0v>0, every pair of reals M1>0M_1>0M1​>0, M2>0M_2>0M2​>0, and every complex 3×33\times33×3 matrix mmm satisfying mT=mm^{\mathsf T}=mmT=m (plain transpose, no conjugation) and rank⁡m≤2\operatorname{rank} m\le 2rankm≤2, there exists a complex 2×32\times32×3 matrix hνh_\nuhν​ such that

−(v2hν)Tdiag⁡(M1,M2)−1(v2hν)=m-\Big(\tfrac{v}{\sqrt2}h_\nu\Big)^{\mathsf T}\operatorname{diag}(M_1,M_2)^{-1}\Big(\tfrac{v}{\sqrt2}h_\nu\Big) = m−(2​v​hν​)Tdiag(M1​,M2​)−1(2​v​hν​)=m

exactly (entrywise equality of complex matrices). Nothing is asserted about uniqueness of hνh_\nuhν​, and m=0m=0m=0 is allowed.

Human review
  • Endorsed by Shuze Chen · Oct 8, 2026

    Confirmed by the moderator at approval.

  • Endorsed by Lucas · Oct 8, 2026

    Confirmed by the mission captain (proposal self-audit).

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