I Inf Is Convex
OptimalHypothesisRate.iInf_IsConvex
Plain-language statement
The space of strategies T in OptimalHypothesisRate is convex.
Exact Lean statement
theorem iInf_IsConvex (ρ : MState d) (ε : Prob) : Convex ℝ { m | ρ.exp_val (1 - m) ≤ ε ∧ 0 ≤ m ∧ m ≤ 1 }Formal artifact
Lean source
theorem iInf_IsConvex (ρ : MState d) (ε : Prob) : Convex ℝ { m | ρ.exp_val (1 - m) ≤ ε ∧ 0 ≤ m ∧ m ≤ 1 } := by --We *could* get this from a more general fact that any linear subspace is convex, --and the intersection of convex spaces is convex, and this is an intersection of --three convex spaces. That would be more broken-down and lemmaified. rintro x ⟨hx₁, hx₂, hx₃⟩ y ⟨hy₁, hy₂, hy₃⟩ a b ha hb hab rw [← eq_sub_iff_add_eq'] at hab subst b refine And.intro ?_ (And.intro ?_ ?_) · simp only [MState.exp_val, inner_sub_right, HermitianMat.inner_one, MState.tr, tsub_le_iff_right, inner_add_right, inner_smul_right] at hx₁ hy₁ ⊢ linear_combination a * hx₁ + (1 - a) * hy₁ · apply HermitianMat.convex_cone <;> assumption · rw [← sub_nonneg] at hx₃ hy₃ ⊢ convert HermitianMat.convex_cone hx₃ hy₃ ha hb using 1 simp only [sub_smul, one_smul, smul_sub] abel- Project
- quantumInfo
- License
- MIT
- Commit
- 56e83a9288a3
- Source
- QuantumInfo/Finite/ResourceTheory/HypothesisTesting.lean:72-87
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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.