Polynomial-query testing of binary rank
For a matrix , define its binary rank by . Given query access to the entries of and parameters and , does there exist an adaptive or non-adaptive property tester with query complexity polynomial in and , independent of and , that distinguishes with constant success probability between: (i) ; and (ii) every matrix with differs from in more than an fraction of its entries?
References
Primary source
Additional references
Progress summary
A September 2026 unrefereed preprint claims to resolve the binary-rank testing question with a polynomial-query tester, but independent verification has not been found.
The problem asks whether binary rank can be tested with query complexity polynomial in the dimension and inverse error tolerance; it was posed by Parnas, Ron, and Shraibman. Earlier results did not settle this question.
Known results
- One-sided non-adaptive testing used queries.
- One-sided adaptive testing used queries.
- For fixed , later work improved -binary-rank bounds to approximately adaptively and non-adaptively, still exponential in .
September 2026 claimed resolution
The preprint Testing the Binary Rank with Polynomial Query Complexity claims a tester using queries, together with recovery of an approximate binary decomposition. If correct, this answers the open query-complexity question, but the preprint is unrefereed and no independent verification was found.
Current status (as of September 2026): A polynomial-query tester is claimed in an unrefereed preprint, but the result remains unverified.
Solutions 0
No solutions have been posted yet.