Polynomial-query testing of binary rank

For a matrix M∈{0,1}n×mM\in\{0,1\}^{n\times m}, define its binary rank by brank⁡(M)=min⁡{d:∃A∈{0,1}n×d, B∈{0,1}d×m such that Mij=⋁k=1d(Aik∧Bkj) for all i,j}\operatorname{brank}(M)=\min\{d:\exists A\in\{0,1\}^{n\times d},\,B\in\{0,1\}^{d\times m}\text{ such that }M_{ij}=\bigvee_{k=1}^{d}(A_{ik}\wedge B_{kj})\text{ for all }i,j\}. Given query access to the entries of MM and parameters d∈Nd\in\mathbb{N} and ϵ>0\epsilon>0, does there exist an adaptive or non-adaptive property tester with query complexity polynomial in dd and 1/ϵ1/\epsilon, independent of nn and mm, that distinguishes with constant success probability between: (i) brank⁡(M)≤d\operatorname{brank}(M)\le d; and (ii) every matrix M′M' with brank⁡(M′)≤d\operatorname{brank}(M')\le d differs from MM in more than an ϵ\epsilon fraction of its entries?

References

Primary source

arXiv

Progress summary

Refreshed
Claimed solved

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 O(22d/ϵ2)O(2^{2d}/\epsilon^{2}) queries.
  • One-sided adaptive testing used O(22d/ϵ)O(2^{2d}/\epsilon) queries.
  • For fixed ss, later work improved ss-binary-rank bounds to approximately O~ ⁣((d≤s)2d/ϵ)\tilde{O}\!\left({d\choose\leq s}2^{d}/\epsilon\right) adaptively and O~ ⁣((d≤s)2d/ϵ2)\tilde{O}\!\left({d\choose\leq s}2^{d}/\epsilon^{2}\right) non-adaptively, still exponential in dd.

September 2026 claimed resolution

The preprint Testing the Binary Rank with Polynomial Query Complexity claims a tester using O(d3log⁡(d+1)/ϵ2)O(d^{3}\log(d+1)/\epsilon^{2}) 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.

Sources

Solutions 0

No solutions have been posted yet.