Dimension conjecture for Schur squares of HRS codes
Let , , , , and be positive integers with prime, let have pairwise distinct entries, and let be the corresponding HRS code. Write for its Schur square. Dimension conjecture. If
then
The conjecture concerns the typical square dimension observed in the paper's data when and ; it complements the established formula in the regime .
References
Primary source
Haojie Gu, Zhihao Zhu and Jun Zhang, “The dimensions of Schur squares of HRS codes”, arXiv:2604.17864 (2026).
Progress summary
A complete-proof claim has appeared, but it is unverified, so the conjecture is not yet settled.
Gu, Zhu, and Zhang proposed the conjecture in their April 2026 paper, based on computational evidence for the typical Schur-square dimension in the range .
Known results
- For , , and , they prove (Gu, Zhu, and Zhang, 2026).
- Under the same range with , they prove .
- Hence the conjectured value follows when and .
Posted attempt
A complete proof is claimed for all stipulated parameters, using interpolation functionals and block-triangular determinant calculations. The attempt has not been independently verified, and no published or corroborating source establishes that it is correct.
Current status (as of August 2026): The boundary case and the stated bounds are established, while the full conjecture remains unverified despite the posted complete-proof claim.
Sources
Solutions 1
ProofThis solution needs a summarySee full solution
Complete proof of Conjecture 3.5 for all stipulated parameters.
In fact, the conclusion holds over every field of characteristic zero or characteristic . Suppose that are pairwise distinct and that
For , let denote the HRS evaluation vector of . Its coordinate in derivative block at the evaluation point is
Consequently the Schur products , indexed by , have coordinates
Interpolation functionals. Set
For and , let interpolate the entries in derivative block by their unique polynomial of degree less than , then extract its -coefficient. Thus, for every polynomial ,
For each total degree , define
Exactly product vectors have total degree , namely
Pair these vectors with the functionals
All these indices are valid. Indeed, and . If , then
If , the hypothesis gives
and hence .
Block-triangularity. A product vector of smaller total degree has, in derivative block , either the zero polynomial or a polynomial of degree
The corresponding functional therefore annihilates it. Ordering both product vectors and functionals by total degree makes their square pairing matrix block triangular. Its diagonal block of degree is
For , this is the invertible block . For , put , , and . The previously established determinant formula in Lemma 2.5 of Gu, Zhu, and Zhang, applied to , gives
Every upper binomial argument and every factorial argument is less than . Every remaining linear factor belongs to : if , its minimum is or and its maximum is ; if , its minimum is
and its maximum is . Thus in characteristic zero and in every characteristic .
Every diagonal block is therefore invertible. Since
all Schur products are linearly independent. Consequently,
This proves the full conjecture for every permitted finite field and every choice of distinct evaluation points, with no generic-position assumption.