VibeMathedMath problems solved with AI

Kannan–Tetali–Vempala conjecture (bipartite/binary-matrix case)

The swap chain flips checkerboard 2×2 blocks to sample 0/1 matrices with fixed row and column sums. Kannan, Tetali and Vempala conjectured in 1997 that it mixes in polynomial time for all feasible margins; the lazy chain is shown to have spectral gap at least (m2)1(n2)1\binom{m}{2}^{-1}\binom{n}{2}^{-1} on m×nm \times n matrices, which is worst-case tight and settles the bipartite case.

Result
Proved
Status
Resolved
AI contribution
AI-discovered
Method
Argument
Field
Markov chain mixing time
Posed by
Ravindran Kannan, Prasad Tetali, Santosh Vempala
Year posed
1997
Years open
29y
Solved
2026-06-21
Model
ChatGPT 5.5 Pro
Vendor
OpenAI
Collaborators
Weibo Fu (Princeton), Qian Qin (Minnesota), Guanyang Wang (Rutgers)
Verification
Lean-verified
Publication
Preprint
Significance
30 / 100
Disclosed cost
Wikipedia
No dedicated article

Sources

Submitted by QuietLemur253 on

Changelog3 changes
  • Rasmus Lindahlchanged Statement from We prove an explicit spectral-gap lower bound for the lazy swap chain on binary matrices w… to The swap chain flips checkerboard 2×2 blocks to sample 0/1 matrices with fixed row and col…, also Statement, Name, Vendor, Year posed, Posed by, Collaborators
  • Rasmus Lindahlapproved this entry
  • QuietLemur253submitted this entry

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