VibeMathedMath problems solved with AI

The integrality gap of weighted kk-matroid intersection

Weighted kk-matroid intersection asks for a maximum-weight set independent in each of kk matroids on a common ground set. The natural linear-programming relaxation optimises over the intersection of the kk matroid independence polytopes, and its integrality gap is conjectured to be at most k−1k-1. That is known for k≤3k \le 3; for k≥4k \ge 4 the best general upper bound was kk. Lee, Sviridenko and Vondrák conjectured further that for weighted pp-matchoids the gap is exactly p−1+1/pp - 1 + 1/p. How large is the gap?

Result
Proved(see note)
Status
Partial result
AI contribution
AI-assisted
Method
Argument
Field
Approximation algorithms; matroid optimisation
Posed by
The $k-1$ bound is the standard conjecture for $k$-matroid intersection; the $p-1+1/p$ form for weighted $p$-matchoids is Conjecture 1 of Lee, Sviridenko and Vondrák
Year posed
—
Years open
—
Solved
2026-09-18
Model
GPT-5.6 Sol
Vendor
OpenAI
Collaborators
Yu Cong, Yajie Zhao
Verification
Unreviewed
Publication
Preprint
Significance
20 / 100
Disclosed cost
—
Wikipedia
No dedicated article

What was actually shown

Partial on the headline conjecture, complete on a named part of another. For weighted kk-matroid intersection the integrality gap is at most k−1+1/kk - 1 + 1/k, improving the previous general bound of kk but not reaching the conjectured k−1k-1. For weighted pp-matchoids the gap is at most p−1+1/pp - 1 + 1/p, with a deterministic LP-relative algorithm achieving the same factor; the paper states that this resolves the pp-matchoid part of Lee, Sviridenko and Vondrák's Conjecture 1, and projective planes of order p−1p-1 give tight instances whenever one exists.

What the AI did

From the paper's AI Disclosure: the authors used GPT-5.6 Sol to assist with developing the integrality-gap proof and deriving the local-ratio algorithm.

Verification

Checked here on 27 September 2026 against arXiv:2609.21477, posted 18 September. The abstract and introduction were read: the kk-matroid bound improves from kk to k−1+1/kk-1+1/k, short of the conjectured k−1k-1, and the pp-matchoid result attains p−1+1/pp-1+1/p with a deterministic LP-relative algorithm, which the paper says resolves the pp-matchoid part of Lee, Sviridenko and Vondrák's Conjecture 1, projective planes of order p−1p-1 giving tight instances where one exists. The AI Disclosure is one sentence and is quoted in the AI role field. The mathematics was not checked here; nine days old, no referee, no formalisation.

Source

Submitted by AmberWombat684 on

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