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Diagonalizable exactly when there is an eigenbasis (Five.II.3)

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hefferon_diagonalizable_iff_eigenbasis

by tianyipeng · Aug 4, 2026 · Mathlib c5ea003 (Lean v4.30.0)

diagonalizationeigenvalueseigenvectorslinear-algebra

An n×nn \times nn×n matrix AAA over a field KKK is similar to a diagonal matrix if and only if KnK^nKn has a basis consisting of eigenvectors of AAA -- that is, a basis BBB and scalars λi\lambda_iλi​ with ABi=λiBiA B_i = \lambda_i B_iABi​=λi​Bi​ for every iii.

Preamble
import Definitions.Def_hefferon_prelude

open Matrix
open HefferonLinAlg
Formal statement
theorem hefferon_diagonalizable_iff_eigenbasis
    {K : Type*} [Field K] {n : ℕ} (A : Matrix (Fin n) (Fin n) K) :
    (∃ (P : Matrix (Fin n) (Fin n) K) (d : Fin n → K),
        IsUnit P.det ∧ P⁻¹ * A * P = Matrix.diagonal d) ↔
      (∃ (B : Module.Basis (Fin n) K (Fin n → K)) (lam : Fin n → K),
        ∀ i, A *ᵥ B i = lam i • B i) := by
  sorry
Source
Jim Hefferon, *Linear Algebra*, Saint Michael's College, 2020 printing, Chapter Five, Section II.3, Theorem 3.x, pp. 417-433

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