Saba Lepsveridze, Aleksandre Saatashvili, Yufei Zhao
{"title":"Uniacute Spherical Codes","authors":"Saba Lepsveridze, Aleksandre Saatashvili, Yufei Zhao","doi":"10.1007/s00493-024-00125-z","DOIUrl":null,"url":null,"abstract":"<p>A spherical <i>L</i>-code, where <span>\\(L \\subseteq [-1,\\infty )\\)</span>, consists of unit vectors in <span>\\(\\mathbb {R}^d\\)</span> whose pairwise inner products are contained in <i>L</i>. Determining the maximum cardinality <span>\\(N_L(d)\\)</span> of an <i>L</i>-code in <span>\\(\\mathbb {R}^d\\)</span> is a fundamental question in discrete geometry and has been extensively investigated for various choices of <i>L</i>. Our understanding in high dimensions is generally quite poor. Equiangular lines, corresponding to <span>\\(L = \\{-\\alpha , \\alpha \\}\\)</span>, is a rare and notable solved case. Bukh studied an extension of equiangular lines and showed that <span>\\(N_L(d) = O_L(d)\\)</span> for <span>\\(L = [-1, -\\beta ] \\cup \\{\\alpha \\}\\)</span> with <span>\\(\\alpha ,\\beta > 0\\)</span> (we call such <i>L</i>-codes “uniacute”), leaving open the question of determining the leading constant factor. Balla, Dräxler, Keevash, and Sudakov proved a “uniform bound” showing <span>\\(\\limsup _{d\\rightarrow \\infty } N_L(d)/d \\le 2p\\)</span> for <span>\\(L = [-1, -\\beta ] \\cup \\{\\alpha \\}\\)</span> and <span>\\(p = \\lfloor \\alpha /\\beta \\rfloor + 1\\)</span>. For which <span>\\((\\alpha ,\\beta )\\)</span> is this uniform bound tight? We completely answer this question. We develop a framework for studying uniacute codes, including a global structure theorem showing that the Gram matrix has an approximate <i>p</i>-block structure. We also formulate a notion of “modular codes,” which we conjecture to be optimal in high dimensions.</p>","PeriodicalId":50666,"journal":{"name":"Combinatorica","volume":"375 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorica","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1007/s00493-024-00125-z","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
A spherical L-code, where \(L \subseteq [-1,\infty )\), consists of unit vectors in \(\mathbb {R}^d\) whose pairwise inner products are contained in L. Determining the maximum cardinality \(N_L(d)\) of an L-code in \(\mathbb {R}^d\) is a fundamental question in discrete geometry and has been extensively investigated for various choices of L. Our understanding in high dimensions is generally quite poor. Equiangular lines, corresponding to \(L = \{-\alpha , \alpha \}\), is a rare and notable solved case. Bukh studied an extension of equiangular lines and showed that \(N_L(d) = O_L(d)\) for \(L = [-1, -\beta ] \cup \{\alpha \}\) with \(\alpha ,\beta > 0\) (we call such L-codes “uniacute”), leaving open the question of determining the leading constant factor. Balla, Dräxler, Keevash, and Sudakov proved a “uniform bound” showing \(\limsup _{d\rightarrow \infty } N_L(d)/d \le 2p\) for \(L = [-1, -\beta ] \cup \{\alpha \}\) and \(p = \lfloor \alpha /\beta \rfloor + 1\). For which \((\alpha ,\beta )\) is this uniform bound tight? We completely answer this question. We develop a framework for studying uniacute codes, including a global structure theorem showing that the Gram matrix has an approximate p-block structure. We also formulate a notion of “modular codes,” which we conjecture to be optimal in high dimensions.
期刊介绍:
COMBINATORICA publishes research papers in English in a variety of areas of combinatorics and the theory of computing, with particular emphasis on general techniques and unifying principles. Typical but not exclusive topics covered by COMBINATORICA are
- Combinatorial structures (graphs, hypergraphs, matroids, designs, permutation groups).
- Combinatorial optimization.
- Combinatorial aspects of geometry and number theory.
- Algorithms in combinatorics and related fields.
- Computational complexity theory.
- Randomization and explicit construction in combinatorics and algorithms.