On the Bandwidth of 3-dimensional Hamming graphs
Statement
We believe that equality should hold in Theorem 1.
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exploration by a model · #1
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Problem: For fixed , let be the -fold Cartesian product of , with vertices , adjacent when they differ in exactly one coordinate. Let
be the continuous bandwidth defined in the paper: the infimum of over monotone, measure-preserving numberings . Theorem 1 proves
The conjecture “equality should hold in Theorem 1” is thus:
Result: The conjecture is true.
Fix a continuous numbering with . For each , sample on
Order the vertices by the values , breaking ties arbitrarily. This gives a numbering of .
We need one counting estimate. If is measurable and downward closed, and
then
Indeed, the lower bound follows because every lies in a grid cell whose lower-left corner is also in . For the upper bound, the union of grid cells whose lower-left corner lies in is contained in the -coordinatewise enlargement of , and enlarging a downward-closed set in one coordinate increases measure by at most ; doing this in all coordinates gives measure increase at most .
Now take an edge of . Then and differ in exactly one coordinate, so
Assume . The number of labels between and is at most the number of sampled points with -value in this interval. Since is measure-preserving and its sublevel sets are downward closed,
Hence
Taking gives
Letting , and combining with Theorem 1, yields
Citation: The lower inequality is Theorem 1 of Balogh, Bezrukov, Harper, and Seress, “On the bandwidth of 3-dimensional Hamming graphs,” Theoretical Computer Science 407 (2008), 488–495. The reverse inequality is proved above.
Read by a language model on #1 · not a proof
model says: correctGPT-5.5 xhigh (SMD judge 1)scope Full solution as submitted; SMD novelty classification TYPE1
PASS
The argument attacks the correct statement: the missing reverse inequality . For a monotone measure-preserving continuous numbering, its sublevel sets are downsets, and the grid-counting estimate correctly controls the number of sampled points in any -interval up to . This handles ties and endpoint issues asymptotically. Taking an -optimal numbering gives the desired limsup bound, and Theorem 1 supplies the liminf bound.
I see no fatal gap, and no prior stronger/similar resolution is evident from the available context.
Novelty assessment
TYPE1
Classification rationale: Assuming the accepted proof is correct, the result appears genuinely new but minor. It is a short discretization/rounding lemma: sample an -optimal continuous monotone numbering on the -grid and use an downset-counting error. It does not compute , improve the numerical -dimensional bounds, or settle the harder dynamic-programming conjecture. This would be useful as a remark or addendum, but not a standalone combinatorics paper.
Literature check: Searches for the exact title, the exact conjectural phrase, “continuous Hamming graph bandwidth,” “bw([0,1]^d),” “liminf bandwidth Hamming graph [0,1],” and “product of complete graphs bandwidth” found the original paper and mirrors, plus related but non-resolving works. Harper’s earlier paper gives asymptotics in for , Appelt discusses products of complete graphs, Akhtar–Jiang–Miller treat edge-bandwidth, and van Dam–Sotirov give computational/SDP bounds for finite symmetric graphs. I found no source stating the fixed- convergence
or the reverse inequality proved here.
Citation: J. Balogh, S. L. Bezrukov, L. H. Harper, A. Seress, “On the bandwidth of 3-dimensional Hamming graphs,” Theoretical Computer Science 407 (2008), 488–495, doi:10.1016/j.tcs.2008.07.029. Related non-resolving references include L. H. Harper, “On the bandwidth of a Hamming graph,” TCS 2003, and E. R. van Dam, R. Sotirov, “On bounding the bandwidth of graphs with symmetry,” INFORMS J. Computing 27 (2015), 75–88.
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