{"title":"On the Zarankiewicz Problem for Graphs with Bounded VC-Dimension","authors":"Oliver Janzer, Cosmin Pohoata","doi":"10.1007/s00493-024-00095-2","DOIUrl":null,"url":null,"abstract":"<p>The problem of Zarankiewicz asks for the maximum number of edges in a bipartite graph on <i>n</i> vertices which does not contain the complete bipartite graph <span>\\(K_{k,k}\\)</span> as a subgraph. A classical theorem due to Kővári, Sós, and Turán says that this number of edges is <span>\\(O\\left( n^{2 - 1/k}\\right) \\)</span>. An important variant of this problem is the analogous question in bipartite graphs with VC-dimension at most <i>d</i>, where <i>d</i> is a fixed integer such that <span>\\(k \\ge d \\ge 2\\)</span>. A remarkable result of Fox et al. (J. Eur. Math. Soc. (JEMS) 19:1785–1810, 2017) with multiple applications in incidence geometry shows that, under this additional hypothesis, the number of edges in a bipartite graph on <i>n</i> vertices and with no copy of <span>\\(K_{k,k}\\)</span> as a subgraph must be <span>\\(O\\left( n^{2 - 1/d}\\right) \\)</span>. This theorem is sharp when <span>\\(k=d=2\\)</span>, because by design any <span>\\(K_{2,2}\\)</span>-free graph automatically has VC-dimension at most 2, and there are well-known examples of such graphs with <span>\\(\\Omega \\left( n^{3/2}\\right) \\)</span> edges. However, it turns out this phenomenon no longer carries through for any larger <i>d</i>. We show the following improved result: the maximum number of edges in bipartite graphs with no copies of <span>\\(K_{k,k}\\)</span> and VC-dimension at most <i>d</i> is <span>\\(o(n^{2-1/d})\\)</span>, for every <span>\\(k \\ge d \\ge 3\\)</span>.\n</p>","PeriodicalId":50666,"journal":{"name":"Combinatorica","volume":"34 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2024-05-14","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/s00493-024-00095-2","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
The problem of Zarankiewicz asks for the maximum number of edges in a bipartite graph on n vertices which does not contain the complete bipartite graph \(K_{k,k}\) as a subgraph. A classical theorem due to Kővári, Sós, and Turán says that this number of edges is \(O\left( n^{2 - 1/k}\right) \). An important variant of this problem is the analogous question in bipartite graphs with VC-dimension at most d, where d is a fixed integer such that \(k \ge d \ge 2\). A remarkable result of Fox et al. (J. Eur. Math. Soc. (JEMS) 19:1785–1810, 2017) with multiple applications in incidence geometry shows that, under this additional hypothesis, the number of edges in a bipartite graph on n vertices and with no copy of \(K_{k,k}\) as a subgraph must be \(O\left( n^{2 - 1/d}\right) \). This theorem is sharp when \(k=d=2\), because by design any \(K_{2,2}\)-free graph automatically has VC-dimension at most 2, and there are well-known examples of such graphs with \(\Omega \left( n^{3/2}\right) \) edges. However, it turns out this phenomenon no longer carries through for any larger d. We show the following improved result: the maximum number of edges in bipartite graphs with no copies of \(K_{k,k}\) and VC-dimension at most d is \(o(n^{2-1/d})\), for every \(k \ge d \ge 3\).
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.