lemmaroutineinferred_dep
Greedy appended rows give exact count
Lemma·
lem:greedy-hashes·§6.2 Choosing additional equations by counting common zerosStatement (paper)
With and from Lemma , a
deterministic procedure appends rows of list length and
obtains a matrix with . It uses at most
common-zero counts. Every candidate system has at most equations,
each involving at most monomials of degree at most .
In plain English
Starting from the sparse parity-check matrix of Lemma 6.1, a deterministic procedure appends rows with list length to get a matrix with , using at most common-zero counts. Every candidate system has at most equations, each with at most monomials of degree at most .
Why it's here
Lemma 6.1 gives sparse checks that rule out all small violation sets, and this lemma adds a few more equations, chosen greedily by counting common zeros, so that the count matches exactly. It also bounds the number of counting queries and the size and degree of the resulting equation systems, which the main theorem and the interpolation and leaf-count bounds need for their running-time analysis.
Classified routine:
A greedy method-of-conditional-expectations style choice of hash rows: each row is picked by counting common zeros so that the number of surviving bad violation sets shrinks. It builds directly on the sparse checks of Lemma 6.1 and follows the standard derandomized isolation/hashing argument.
Uses
Used by
Sources
PaperOpen
- Section
- §6.2 Choosing additional equations by counting common zeros
- Page
- —
- Label
lem:greedy-hashes- Line
main_full_version.tex:3446
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depcritique: Lemma 6.2 opens "With and from Lemma " (line 3447). Its proof uses the weight bound |supp v(x)| ≥ m/P from that lemma (line 3470). The DAG has no edge.