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Project-declaredLean 4.28.0 · mathlib@8f9d9cff6bd7

Conj Transpose isometry mul isometry le one

conjTranspose_isometry_mul_isometry_le_one

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The operator norm of the conjugate transpose is equal to the operator norm. -/ theorem Matrix.opNorm_conjTranspose_eq_opNorm {m n : Type*} [Fintype m] [Fintype n] [DecidableEq m] [DecidableEq n] (A : Matrix m n 𝕜) : Matrix.opNorm Aᴴ = Matrix.opNorm A := by unfold Matrix.opNorm rw [← ContinuousLinearMap.adjoint.norm_map (toEuclideanLin A).toContinuousLine...

Exact Lean statement

theorem conjTranspose_isometry_mul_isometry_le_one {m n k : Type*}
    [Fintype m] [Fintype n] [Fintype k] [DecidableEq m] [DecidableEq n] [DecidableEq k]
    (A : Matrix k m ℂ) (B : Matrix k n ℂ)
    (hA : A.conjTranspose * A = 1) (hB : B.conjTranspose * B = 1) :
    (A.conjTranspose * B).conjTranspose * (A.conjTranspose * B) ≤ 1

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
theorem conjTranspose_isometry_mul_isometry_le_one {m n k : Type*}    [Fintype m] [Fintype n] [Fintype k] [DecidableEq m] [DecidableEq n] [DecidableEq k]    (A : Matrix k m ℂ) (B : Matrix k n ℂ)    (hA : A.conjTranspose * A = 1) (hB : B.conjTranspose * B = 1) :    (A.conjTranspose * B).conjTranspose * (A.conjTranspose * B)  1 := by  have h_le : (Bᴴ * A) * (Bᴴ * A)ᴴ  1 := by    have h_le : (Bᴴ * A) * (Bᴴ * A)ᴴ  (Bᴴ * B) := by      have h_le : (A * Aᴴ)  1 := by        apply isometry_mul_conjTranspose_le_one A hA;      -- Apply the fact that if $X \leq Y$, then $CXC^* \leq CYC^*$ for any matrix $C$.      have h_conj :  (C : Matrix n k ℂ) (X Y : Matrix k k ℂ), X  Y  C * X * Cᴴ  C * Y * Cᴴ :=        fun C X Y a => Matrix.PosSemidef.mul_mul_conjTranspose_mono C a      simpa [ Matrix.mul_assoc ] using h_conj Bᴴ ( A * Aᴴ ) 1 h_le;    aesop;  simpa [ Matrix.mul_assoc ] using h_le
Project
quantumInfo
License
MIT
Commit
56e83a9288a3
Source
QuantumInfo/Finite/Entropy/SSA.lean:313-327

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