Dimension conjecture for Schur squares of HRS codes
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 .
Progress summary
The conjecture remains open: the original paper reports supporting computations and proves important boundary cases, but no proof or counterexample has been publicly verified.
Gu, Zhu, and Zhang’s 2026 preprint conjectures that the Schur-square dimension is whenever and . It is presented as a conjecture based on computational data, not as a theorem.
Known results
- For , , and , the paper proves .
- Under the same hypotheses with , it proves .
- Consequently, when , the conjectured value is established.
April 2026 preprint
The authors explicitly leave the general-parameter dimension analysis as future work. No publicly retrieved source supplies a corroborated proof, counterexample, verification, or refutation of Conjecture 3.5.
Current status (as of August 2026): The conjecture is open; the boundary case under and the stated partial bounds are settled, while the full range remains unproved.
Sources
Sources & referencesView supporting material
Primary source
Haojie Gu, Zhihao Zhu and Jun Zhang, “The dimensions of Schur squares of HRS codes”, arXiv:2604.17864 (2026).
Solutions 1
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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.