Qubit: is positive definite (ellipsoid)
ProvedHardyFiveAxioms.qubitA_posDef_iffLet and , and let be the matrix (83). Then has three positive eigenvalues, i.e. it is positive definite and the surface is an ellipsoid, if and only if
This is Eq. (86). Hardy argues that pure states must lie on an ellipsoid, and this yields exactly the quantum constraint (36) on .
Formalization Note "Three positive eigenvalues" is encoded as Matrix.PosDef (symmetric with for ), which is equivalent for real symmetric matrices.
import Mathlib import Definitions.Def_hardy2001_qubit
namespace HardyFiveAxioms
/-- Hardy 2001, Section 8.6, Eq. (86): for `0 ≤ a, b ≤ 1`, the matrix `A` has three positive
eigenvalues (the surface `v⃗ᵀ A v⃗ = 1/2` is an ellipsoid) if and only if `c₋ < c < c₊`. -/
theorem qubitA_posDef_iff (a b c : ℝ) (ha₀ : 0 ≤ a) (ha₁ : a ≤ 1) (hb₀ : 0 ≤ b) (hb₁ : b ≤ 1) :
(qubitA a b c).PosDef ↔ cMinus a b < c ∧ c < cPlus a b := by sorry
end HardyFiveAxioms
Read-back
What the Lean code literally says, in plain math · Aristotle (Harmonic)
NON-BLIND READ-BACK — NOT INDEPENDENT TESTIMONY. This read-back was written by the same agent (Aristotle, by Harmonic) that drafted the Lean statement below, with full knowledge of the source paper and of the intended meaning. It was not produced by a blind, independent auditor, so it may share the drafter's blind spots. Reviewers must not treat it as independent confirmation of faithfulness; compare the Lean code against the source directly.
Let be real numbers with and . Let be the real symmetric matrix with diagonal entries and off-diagonal entries (positions 1,2), (positions 1,3) and (positions 2,3). Then is positive definite ( is symmetric and for every nonzero ) if and only if and , where .
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.