VibeMathedMath problems solved by AI

The Hall-Ho Heat Flow Conjecture for Random Matrices

Hall and Ho conjectured how the zeros of the heat-flow-evolved characteristic polynomial of a random matrix behave in the large-nn limit. General cases are proved; in particular, for a complex Ginibre matrix the empirical measure of those zeros converges almost surely to the semicircle law.

Result
Proved(see note)
Status
Partial result
AI contribution
AI co-developed
Method
Argument
Field
Random matrix theory
Posed by
Brian Hall, Ching-Wei Ho
Year posed
Years open
Solved
2026-07-27
Model
ChatGPT Pro 5.5, ChatGPT 5.6 Sol Ultra
Vendor
OpenAI
Collaborators
Theodoros Assiotis
Verification
Unreviewed
Publication
Preprint
Significance
15 / 100
Disclosed cost
Wikipedia
No dedicated article

What was actually shown

Proves general cases of the conjecture rather than every case.

What the AI did

An unusually direct disclosure: "In the course of the research presented here I have been using AI tools extensively, most significantly ChatGPT Pro 5.5 and ChatGPT 5.6 Sol Ultra for ideation, technical help, editing and checking the proofs and general editing and proofreading of the manuscript, at the level of a co-author. All mistakes are my own responsibility." The phrase "at the level of a co-author" is the author's own.

Verification

A preprint, with no independent review.

Source

arXiv

Discussion