Vector states #
The vector functional x ↦ ⟪ξ, x ξ⟫.
Equations
Instances For
⟪ξ, (b* b) ξ⟫ = ‖b ξ‖².
⟪ξ, (∑ a_i²) ξ⟫ = ∑ ‖a_i ξ‖² for self-adjoint a_i.
⟪ξ, (∑ |a_i − p_i|²) ξ⟫ = ∑ ‖a_i ξ − p_i ξ‖².
The vector state x ↦ ⟪ξ, x ξ⟫ of a unit vector ξ, as a normal state of any von
Neumann algebra M (it is positive and normal on all of B(H)).
Equations
- Orthogonalization.Corollaries.vecState M ξ hξ = { toLinearMap := Orthogonalization.Corollaries.vecFunctional ξ, map_one' := ⋯, nonneg' := ⋯, normal' := ⋯ }
Instances For
Restriction of a normal state to a smaller von Neumann algebra #
A normal state of M is a normal state of every von Neumann subalgebra N ≤ M
(same functional; DIFFERENCES.md D1).
Equations
- Orthogonalization.Corollaries.restrictState φ hNM = { toLinearMap := φ.toLinearMap, map_one' := ⋯, nonneg' := ⋯, normal' := ⋯ }
Instances For
The seminorm of a normal state #
‖x‖_φ² ≥ 0 for x ∈ M.
Cauchy–Schwarz (real form) for a functional positive on M: for x, y ∈ M,
Re φ(x* y) + Re φ(y* x) ≤ 2 ‖x‖_φ ‖y‖_φ.
Triangle inequality (squared form) for the seminorm of tuples, for a state positive
on M only: if all b_i, c_i ∈ M, then
∑ ‖b_i + c_i‖_φ² ≤ (√(∑ ‖b_i‖_φ²) + √(∑ ‖c_i‖_φ²))².
The triangle inequality in the form used for Theorem 1.4:
∑ ‖b_i + c_i‖_φ² ≤ (√(∑ ‖b_i‖_φ²) + √(∑ ‖c_i‖_φ²))² for b_i, c_i ∈ M.
PVMs: orthogonality and the compressed POVM a_i = ∑_j q_j p_i q_j #
The projections of a PVM are pairwise orthogonal: q_j q_k = 0 for j ≠ k.
The compressed POVM a_i = ∑_j q_j p_i q_j of Section 5 of the paper.
Equations
- Orthogonalization.Corollaries.compress p q i = ∑ j : κ, q j * p i * q j
Instances For
a_i commutes with every q_k.
∑_j |p_i q_j − q_j p_i|² = a_i + p_i − a_i p_i − p_i a_i.
|p_i − a_i|² = p_i − p_i a_i − a_i p_i + a_i².
The operator identity behind the display of Section 5:
∑_{i,j} |p_i q_j − q_j p_i|² = ∑_i |p_i − a_i|² + (1 − ∑_i a_i²).
Theorem 1.1 (thm:orthonormalization_Hilbert) in finite dimension, with the
commutant clause: the instance of the signed statement povm_orthogonalization_hilbert
with [FiniteDimensional ℂ H] added. Proof: Theorem 1.2 in the von Neumann algebra
W*(a_i) with the vector state x ↦ ⟪ξ, x ξ⟫; the projections lie in W*(a_i), so they
commute with every b commuting with the a_i (bicommutant).
Theorem 1.4 (thm:pvm_almost_commute) in finite dimension: the instance of the
signed statement pvm_almost_commute with [FiniteDimensional ℂ H] added. Proof
(Section 5 of the paper): with a_i = ∑_j q_j p_i q_j,
∑_{i,j} ‖p_i q_j − q_j p_i‖_φ² = ∑_i ‖p_i − a_i‖_φ² + (1 − φ(∑ a_i²)); Theorem 1.2 in
W*(a_i) (whose elements commute with the q_j) gives a PVM p' with
∑ ‖a_i − p'_i‖_φ² < 9 (ε − ∑ ‖p_i − a_i‖_φ²), and the triangle inequality together with
(√D + √E)² ≤ 10 (D + E/9) concludes.