lemmaroutineinferred_dep
Matrix test implies surrogate acceptance bound
Passing the test gives rank-one invariance probability ≥
supplies good pairs to the good-advice lemma
Lemma·
lem:matrix-spectral·§5.3 Comparing the two matrix perturbationsStatement (paper)
If the table family passes Equation with probability at
least , then
where is uniform in and the other matrix and vector samples are
uniform in their respective spaces. Consequently at least of
the pairs have the inner probability at least .
In plain English
If the table family passes the matrix test with probability at least , then averaging over , the probability over that is at least , where is uniform in . Consequently, at least a fraction of pairs have this inner probability at least .
Why it's here
This turns passing the matrix test into a quantitative statement that a rank-one perturbation of the matrix rarely changes the table's output. The bound uses the threshold from the latent gadget lemma, which is independent of . The final averaging step gives a large set of good pairs , which the good-row-advice lemma and its lower bound on good advice mass then use.
Classified routine:
The bound is a direct consequence of the matrix-test acceptance probability combined with the detecting-noise property from the latent gadget lemma (threshold ). The final step is a standard Markov-type averaging argument over pairs .
Uses
Used by
Sources
PaperOpen
- Section
- §5.3 Comparing the two matrix perturbations
- Page
- —
- Label
lem:matrix-spectral- Line
sections/04-matrix.tex:244
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depthe proof refers to "the ordinary shortcode equality tests" at fixed (U,T), which are the tests of the inverse shortcode theorem