Larger nearly orthogonal sets over finite fields

IF 0.7 3区 数学 Q2 MATHEMATICS Discrete Mathematics Pub Date : 2024-12-19 DOI:10.1016/j.disc.2024.114373
Ishay Haviv , Sam Mattheus , Aleksa Milojević , Yuval Wigderson
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Abstract

For a field F and integers d and k, a set AFd is called k-nearly orthogonal if its members are non-self-orthogonal and every k+1 vectors of A include an orthogonal pair. We prove that for every prime p there exists some δ=δ(p)>0, such that for every field F of characteristic p and for all integers k2 and dk, there exists a k-nearly orthogonal set of at least dδk/logk vectors of Fd. The size of the set is optimal up to the logk term in the exponent. We further prove two extensions of this result. In the first, we provide a large set A of non-self-orthogonal vectors of Fd such that for every two subsets of A of size k+1 each, some vector of one of the subsets is orthogonal to some vector of the other. In the second extension, every k+1 vectors of the produced set A include +1 pairwise orthogonal vectors for an arbitrary fixed integer 1k. The proofs involve probabilistic and spectral arguments and the hypergraph container method.
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来源期刊
Discrete Mathematics
Discrete Mathematics 数学-数学
CiteScore
1.50
自引率
12.50%
发文量
424
审稿时长
6 months
期刊介绍: Discrete Mathematics provides a common forum for significant research in many areas of discrete mathematics and combinatorics. Among the fields covered by Discrete Mathematics are graph and hypergraph theory, enumeration, coding theory, block designs, the combinatorics of partially ordered sets, extremal set theory, matroid theory, algebraic combinatorics, discrete geometry, matrices, and discrete probability theory. Items in the journal include research articles (Contributions or Notes, depending on length) and survey/expository articles (Perspectives). Efforts are made to process the submission of Notes (short articles) quickly. The Perspectives section features expository articles accessible to a broad audience that cast new light or present unifying points of view on well-known or insufficiently-known topics.
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