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Project-declaredLean 4.28.0 · mathlib@8f9d9cff6bd7

Sandwiched Trace Functional conj unitary hermitian

sandwichedTraceFunctional_conj_unitary_hermitian

Project documentation

The trace functional is strictly positive when the kernel condition holds. Under σ.M.ker ≤ ρ.M.ker (i.e. supp(ρ) ⊆ supp(σ)), the sandwich σ^γ ρ σ^γ ≠ 0 because ρ has support inside σ's support. -/ theorem sandwichedTraceFunctional_pos (ρ σ : MState d) (hker : σ.M.ker ≤ ρ.M.ker) : 0 < Q̃_ α(ρ‖σ) := by rw [sandwichedTraceFunctional] apply HermitianMat...

Exact Lean statement

theorem sandwichedTraceFunctional_conj_unitary_hermitian
    (U : Matrix.unitaryGroup d ℂ) (A B : HermitianMat d ℂ) :
    let γ

Formal artifact

Lean source

Canonical source
Full Lean sourceLean 4
theorem sandwichedTraceFunctional_conj_unitary_hermitian    (U : Matrix.unitaryGroup d ℂ) (A B : HermitianMat d ℂ) :    let γ := (1 - α) / (2 * α)    ((A.conj U.val).conj ((B.conj U.val) ^ γ).mat ^ α).trace =      ((A.conj (B ^ γ).mat) ^ α).trace := by  have h_rpow_conj :  (A : HermitianMat d ℂ) (U : Matrix.unitaryGroup d ℂ) (r : ), (HermitianMat.conj U.val A) ^ r = HermitianMat.conj U.val (A ^ r) := by    -- Apply the theorem `HermitianMat.rpow_conj_unitary` to conclude the proof.    apply HermitianMat.rpow_conj_unitary;  have h_conj_conj :  (A B : HermitianMat d ℂ) (U : Matrix.unitaryGroup d ℂ), (HermitianMat.conj U.val A).conj ((HermitianMat.conj U.val B).mat) = HermitianMat.conj U.val (A.conj B.mat) := by    intros A B U    simp [HermitianMat.conj];    have h_unitary :  (U : Matrix.unitaryGroup d ℂ), U.val * U.val.conjTranspose = 1 := by      exact fun U => U.2.2;    simp [  mul_assoc ];    have := h_unitary U; simp_all [ Matrix.mul_assoc, mul_eq_one_comm.mp this ] ;  simp_all [ HermitianMat.conj_apply_mat ]
Project
quantumInfo
License
MIT
Commit
56e83a9288a3
Source
QuantumInfo/Finite/Entropy/DPI.lean:119-134

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Conj Transpose isometry mul isometry le one

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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...

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Source project: quantumInfo

Person-level attribution pending.

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Project-declaredLean 4.28.0

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Plain-language statement

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Source project: quantumInfo

Person-level attribution pending.

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Project-declaredLean 4.28.0

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Plain-language statement

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Source project: quantumInfo

Person-level attribution pending.

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