claimroutineinferred_dep
Contraction cost gives total running time
Statement (paper)
Applying Theorem with size parameter , root precision , and truncation order , each contraction takes bit operations and polynomial space, where . Including the high-incidence branches and degree arrays, which multiply the running time by at most , summing the contractions in on each branch, applying , and adding the branch residues modulo recovers the number of common zeros, within the claimed time and space bounds.
In plain English
Applying the tensor contraction theorem with , root precision and truncation order makes each contraction cost bit operations in polynomial space. Summing over all branches and degree arrays, then reducing modulo , yields the number of common zeros within the lemma's time and space bounds.
Why it's here
This is the closing step of the proof. The earlier claims reduce the count to a sum of low-degree network contractions with efficiently computable entries, so the contraction theorem applies to each. The extra factor from the high-incidence branches and degree arrays is only , so the total stays within the stated bounds.
Classified routine:
Direct bookkeeping: plugs parameters into the paper's tensor contraction theorem and multiplies by the branch and degree-array counts established in the earlier claims.
Uses
Used by
Nothing in the paper
Sources
PaperOpen
- Section
- §D.3 Arbitrary clause density
- Page
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- Label
—- Line
quantitative-reduction.tex:294
Leannot aligned
Phase 2 aligns this node to a Lean declaration.
Friction
- infoinferred_depoutline: "Apply contraction theorem and total cost" rests on claim-lem-tensor-sparse-query-3
- infoinferred_depoutline: "Apply contraction theorem and total cost" rests on claim-lem-tensor-sparse-query-5