Sandwiched Trace Functional jointly convex
sandwichedTraceFunctional_jointly_convex
Plain-language statement
The trace functional Q̃_α is jointly convex for α > 1. This is Proposition 3 of the paper, originally from Frank–Lieb. The proof uses the variational formula: Q̃_α(ρ‖σ) = sup_{H ≥ 0} f_α(H, ρ, σ) where f_α(H, ρ, σ) = α · Tr[ρ H] - (α-1) · Tr[(σ^{-γ} H σ^{-γ})^{α/(α-1)}] is jointly convex in (ρ, σ) for fixed H (since the first term is linear an...
Exact Lean statement
theorem sandwichedTraceFunctional_jointly_convex (hα : 1 < α) {ι : Type*} [Fintype ι]
(w : ι → ℝ) (hw_nonneg : ∀ i, 0 ≤ w i) (hw_sum : ∑ i, w i = 1)
(ρs σs : ι → MState d) (ρ_mix σ_mix : MState d)
(hρ_mix : ρ_mix.M = ∑ i, w i • (ρs i).M)
(hσ_mix : σ_mix.M = ∑ i, w i • (σs i).M)
(hker : ∀ i, (σs i).M.ker ≤ (ρs i).M.ker) :
Q̃_ α(ρ_mix‖σ_mix) ≤ ∑ i, w i * Q̃_ α(ρs i‖σs i)Formal artifact
Lean source
theorem sandwichedTraceFunctional_jointly_convex (hα : 1 < α) {ι : Type*} [Fintype ι] (w : ι → ℝ) (hw_nonneg : ∀ i, 0 ≤ w i) (hw_sum : ∑ i, w i = 1) (ρs σs : ι → MState d) (ρ_mix σ_mix : MState d) (hρ_mix : ρ_mix.M = ∑ i, w i • (ρs i).M) (hσ_mix : σ_mix.M = ∑ i, w i • (σs i).M) (hker : ∀ i, (σs i).M.ker ≤ (ρs i).M.ker) : Q̃_ α(ρ_mix‖σ_mix) ≤ ∑ i, w i * Q̃_ α(ρs i‖σs i) := by have hker' : σ_mix.M.ker ≤ ρ_mix.M.ker := by rw [hρ_mix, hσ_mix] exact HermitianMat.ker_weighted_sum_le w hw_nonneg _ _ (fun i => (ρs i).nonneg) (fun i => (σs i).nonneg) hker rw [traceFunctional_eq_iSup_f_alpha hα ρ_mix σ_mix hker'] calc ⨆ H : {H : HermitianMat d ℂ // 0 ≤ H}, f_alpha α H.1 ρ_mix σ_mix ≤ ∑ i, w i * (⨆ H : {H : HermitianMat d ℂ // 0 ≤ H}, f_alpha α H.1 (ρs i) (σs i)) := iSup_f_alpha_jointly_convex hα w hw_nonneg hw_sum ρs σs ρ_mix σ_mix hρ_mix hσ_mix hker _ = ∑ i, w i * Q̃_ α(ρs i‖σs i) := by congr 1; ext i rw [traceFunctional_eq_iSup_f_alpha hα (ρs i) (σs i) (hker i)]- Project
- quantumInfo
- License
- MIT
- Commit
- 56e83a9288a3
- Source
- QuantumInfo/Finite/Entropy/DPI.lean:792-808
Reuse this declaration
Bring the exact result into your workflow
The import identifies the source module. Your project still needs the pinned package dependency shown on this page.
What this badge means
This completion status comes from the project or community source. It has not yet been represented here as an independent rebuild and axiom audit.
Continue in this project
Related declarations
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...
Source project: quantumInfo
Person-level attribution pending.
Convex roof of pure
convex_roof_of_pure
Plain-language statement
The convex roof extension of g : KetUpToPhase d → ℝ≥0 applied to a pure state ψ is g (KetUpToPhase.mk ψ).
Source project: quantumInfo
Person-level attribution pending.
Id achieves Rate log dim
CPTPMap.id_achievesRate_log_dim
Plain-language statement
The identity channel on D dimensional space achieves a rate of log2(D).
Source project: quantumInfo
Person-level attribution pending.