Combinatorics and Finite Fields 2019
DOI: 10.1515/9783110642094-002
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2. q-analogs of group divisible designs

Abstract: A well known class of objects in combinatorial design theory are group divisible designs. Here, we introduce the q-analogs of group divisible designs. It turns out that there are interesting connections to scattered subspaces, q-Steiner systems, packing designs and q r -divisible projective sets.We give necessary conditions for the existence of q-analogs of group divisible designs, construct an infinite series of examples, and provide further existence results with the help of a computer search.One example is … Show more

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Cited by 6 publications
(14 citation statements)
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“…We remark that A 2 (6, 3, 2; 4) ≥ 360, which was obtained in the context of q-GDDs [14], was also obtained in [24]. The upper bound for A 2 (6, 4, 2; 2), based on integer linear programming, need a more detailed explanation, which is marked by a ⋆ in the corresponding table.…”
Section: Conclusion and Problems For Future Researchmentioning
confidence: 61%
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“…We remark that A 2 (6, 3, 2; 4) ≥ 360, which was obtained in the context of q-GDDs [14], was also obtained in [24]. The upper bound for A 2 (6, 4, 2; 2), based on integer linear programming, need a more detailed explanation, which is marked by a ⋆ in the corresponding table.…”
Section: Conclusion and Problems For Future Researchmentioning
confidence: 61%
“…For designs the known necessary existence criteria also have their q-analog counterparts. Interestingly enough, for group divisible designs there is an additional necessary existence criterion for q > 1, see [14]. Also the Johnson bound for constant-dimension codes, see Proposition 2 for λ = 1, was improved [57].…”
Section: Upper Bounds Based On Q R -Divisible Codesmentioning
confidence: 99%
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“…A t-(v, k, λ) q packing design is a set of k-dimensional subspaces of F v q such that every t-dimensional subspace is covered at most λ times. The 2-(6, 3, 2) 2 packing design of cardinality 180 with an automorphism group of order 9 from [11] was quickly rediscovered using the presented algorithmic approach. The packing design is indeed optimal, which can be shown using a Johnson-type argument.…”
Section: Discussionmentioning
confidence: 99%