Conj Transpose isometry mul isometry le one
conjTranspose_isometry_mul_isometry_le_one
Project documentation
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) ≤ 1Formal artifact
Lean source
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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