Expect val eq mixable mix
ProbDistribution.expect_val_eq_mixable_mix
Plain-language statement
The expectation value of a random variable over α = Fin 2 is the same as Mixable.mix with probabiliy weight X.distr 0
Exact Lean statement
theorem expect_val_eq_mixable_mix (d : ProbDistribution (Fin 2)) (x₁ x₂ : T) : expect_val ⟨![x₁, x₂], d⟩ = Mixable.mix (d 0) x₁ x₂
Formal artifact
Lean source
theorem expect_val_eq_mixable_mix (d : ProbDistribution (Fin 2)) (x₁ x₂ : T) : expect_val ⟨![x₁, x₂], d⟩ = Mixable.mix (d 0) x₁ x₂ := by apply Mixable.to_U_inj simp only [Mixable.mix, expect_val, DFunLike.coe, Mixable.to_U_of_mkT] calc ∑ i : Fin (Nat.succ 0).succ, (d i : ℝ) • Mixable.to_U (![x₁, x₂] i) = ∑ i, (d i : ℝ) • Mixable.to_U (![x₁, x₂] i) := by simp _ = (d 0 : ℝ) • Mixable.to_U (![x₁, x₂] 0) + (d 1 : ℝ) • Mixable.to_U (![x₁, x₂] 1) := by simp _ = (d 0 : ℝ) • Mixable.to_U x₁ + (1 - d 0).val • Mixable.to_U x₂ := by congr simpa only [Subtype.ext_iff, Prob.coe_one_minus, eq_sub_iff_add_eq, add_comm, fun_eq_val, Fin.sum_univ_two] using d.property- Project
- quantumInfo
- License
- MIT
- Commit
- 56e83a9288a3
- Source
- ClassicalInfo/Distribution.lean:244-255
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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.