The assembled projections #
The PVM assembled from the isometry data: p_i = w_i* w_i, which is the
paper's p_i = u* t_i u for t_i = e_{ii} ⊗ q_i read block by block.
Equations
- Orthogonalization.assembledPVM w i = star (w i) * w i
Instances For
From (W1) and (W2): q_i w_i = w_i. Indeed
q_i w_i = ∑ j, (w_i w_j*) w_j = w_i ∑ j, w_j* w_j = w_i.
Each p_i = w_i* w_i is a star projection: self-adjointness is
star_mul/star_star, and idempotence follows from (W2) and
IsometryData.q_mul_w, since
(w_i* w_i)(w_i* w_i) = w_i* (w_i w_i*) w_i = w_i* q_i w_i = w_i* w_i.
The assembled projections sum to 1: this is (W1).
The paper's identity |x| p_i |x| = q_i a_i (with |x| = √(∑ j, q_j a_j)):
s p_i s = (w_i s)* (w_i s) = (q_i √a_i)* (q_i √a_i) = √a_i q_i √a_i = q_i a_i,
using (W3), self-adjointness of s and of √a_i, idempotence of q_i, and the
fact that q_i commutes with √a_i.
Operator identities and inequalities for the three terms #
Monotonicity of the compression by a projection commuting with the
difference: if u ≤ v, r is a projection and r commutes with v - u, then
r u ≤ r v, because r (v - u) is a product of commuting positive operators.
(r x)* (r x) = r x² for a projection r commuting with a self-adjoint x.
This is the first term of the paper's decomposition, with r = 1 - q_i.
(p (s - 1))* (p (s - 1)) = (1 - s) p (1 - s) for a projection p and a
self-adjoint s. This is the third term of the paper's decomposition.
((s - 1) x)* ((s - 1) x) = x* (1 - s)² x for a self-adjoint s; the
conjugating element of the second term of the paper's decomposition.
With s p s = z and p idempotent: s p (1 - s²) p s = z - z². This is
the paper's |x| p_i (1 - |x|²) p_i |x| = |x| p_i |x| - (|x| p_i |x|)².
q x - (q x)² = q (x - x²) for a projection q commuting with x.
The φ-step #
If the operator ∑ i, b_i* b_i is dominated by x, then the squared
seminorm ‖(b_i)‖_φ² is dominated by φ x (real parts): the real part of a
positive functional is monotone.
The three-term estimate #
The core of step F3. The paper's estimate, with the square root
|x| = √(∑ j, q_j a_j) abstracted into an operator s subject only to the
properties the argument uses: 0 ≤ s ≤ 1, s² = ∑ j, q_j a_j and
s p_i s = q_i a_i.
The proof decomposes a_i - p_i = b_i + d_i + c_i with
b_i = (1 - q_i) a_i, d_i = p_i s - p_i, c_i = q_i a_i - p_i s
and bounds ‖b‖_φ² ≤ ε, ‖d‖_φ² ≤ ε, ‖c‖_φ² < ε; three applications of the
triangle inequality (phiNormSq_add_add_lt) then give the constant 9.
Step F3 of the proof of Theorem 1.2 in the finite case. Given the
isometry data (w_i) of Lemma 3.2 for a POVM (a_i) and the commuting
projections (q_i) of Lemma 3.1, the assembled PVM p_i = w_i* w_i satisfies
φ (∑ i, |a_i - p_i|²) < 9 ε whenever φ (∑ i, a_i²) > 1 - ε and
φ (∑ i, q_i a_i) ≥ 1 - ε.