Approximate generalized Steiner systems and near-optimal constant weight codes

被引:0
作者
Miao, Liu [1 ]
Chong, Shangguan [1 ,2 ]
机构
[1] Shandong Univ, Res Ctr Math & Interdisciplinary Sci, Qingdao 266237, Peoples R China
[2] Minist Educ, Frontiers Sci Ctr Nonlinear Expectat, Qingdao 266237, Peoples R China
基金
中国国家自然科学基金;
关键词
Constant weight codes; Constant composition codes; Johnson bound; Packings; Matchings in hypergraphs; CONSTRUCTIONS; BOUNDS; SIZE;
D O I
10.1016/j.jcta.2024.105955
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Constant weight codes (CWCs) and constant composition codes (CCCs) are two important classes of codes that have been studied extensively in both combinatorics and coding theory for nearly sixty years. In this paper we show that for all fixed odd distances, there exist near-optimal CWCs and CCCs asymptotically achieving the classic Johnson-type upper bounds. Let A(q)(n, d, w) denote the maximum size of q-ary CWCs of length n with constant weight w and minimum distance d. One of our main results shows that for all fixed q, w and odd d, one has lim(n ->infinity)infinity A(q)(n, d, w)/(n t) = (q-1)(t)/(w t), where t = 2w-d+1/2. This implies the existence of near-optimal generalized Steiner systems originally introduced by Etzion, and can be viewed as a counterpart of a celebrated result of Rodl on the existence of near-optimal Steiner systems. Note that prior to our work, very little is known about A(q)(n, d, w) for q >= 3. A similar result is proved for the maximum size of CCCs. We provide different proofs for our two main results, based on two strengthenings of the well-known Frankl-Rodl-Pippenger theorem on the existence of near-optimal matchings in hypergraphs: the first proof follows by Kahn's linear programming variation of the above theorem, and the second follows by the recent independent work of Delcourt-Postle, and Glock-Joos-Kim-Kuhn-Lichev on the existence of near-optimal matchings avoiding certain forbidden configurations. We also present several intriguing open questions for future research. (c) 2024 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.
引用
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页数:19
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