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Expected real Gaussian power-rangefinder error

Statement

Under the real-field hypotheses of Expected spectral error of the real Gaussian range finder, let q≥0 be an integer, draw the same Gaussian sketch Ω, and let Q be the basis returned by Reorthogonalized randomized power subspace iteration on A,Ω,q. Equivalently, if B=(AA∗)qA, then Ran⁡(Q)=Ran⁡(BΩ). Then E∥(I−QQ∗)A∥2≤[(1+kp−1)σk+12q+1+ek+pp(∑j>kσj2(2q+1))1/2]1/(2q+1).

Facts & Assumptions

Given: The inherited Countable Choice assumption for the Gaussian law, and a fixed real matrix, the Gaussian range-finder hypotheses, and an integer power count q≥0.

[F1]

The base real Gaussian range finder satisfies the expected spectral-error bound under k≥2, p≥2, k+p≤min⁡(m,n) (Expected spectral error of the real Gaussian range finder).

[F2]

The QR-reorthogonalized procedure spans Ran⁡((AA∗)qAΩ) and its original-matrix error transfers from the powered error (Power-rangefinder error transfer under finite expected powered error).

[F3]
[F4]

The power procedure returns a Borel orthogonal projector, including rank-deficient samples (Measurability of the reorthogonalized power range finder).

Proof

1.1givenF1F3

Apply [F1] to the fixed matrix B=(AA∗)qA, which has the same dimensions as A and uses the same Gaussian sketch dimensions. By [F3], its singular values are σj(B)=σj(A)2q+1, including zero singular values.

2.1step 1.1F2F4algebra∎

By [F4], the output projector is measurable, so the transfer hypothesis is satisfied. By [F2], its range is the sample range for B. Substitute the resulting bound for E∥(I−QQ∗)B∥2 into the transfer inequality [F2]. Taking the nonnegative 1/(2q+1) power gives exactly the displayed expression.

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