2022
DOI: 10.1112/blms.12647
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Graphs with high second eigenvalue multiplicity

Abstract: Jiang, Tidor, Yao, Zhang, and Zhao recently showed that connected bounded degree graphs have sublinear second eigenvalue multiplicity (always referring to the adjacency matrix). This result was a key step in the solution to the problem of equiangular lines with fixed angles. It led to the natural question: what is the maximum second eigenvalue multiplicity of a connected bounded degree 𝑛-vertex graph? The best-known upper bound is 𝑂(π‘›βˆ• log log 𝑛). The previously known bestknown lower bound is on the order … Show more

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Cited by 5 publications
(5 citation statements)
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“…We obtain this result via constructing a family of bounded-degree regular graphs with second eigenvalue exactly Ξ» = (1 βˆ’ Ξ±)/(2Ξ±) for various Ξ». The second eigenvalue multiplicity we construct is much smaller than that in [HSZZ22]. However, to our knowledge, this is the first result giving unbounded second eigenvalue multiplicity when the eigenvalue is fixed.…”
Section: Introductionmentioning
confidence: 66%
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“…We obtain this result via constructing a family of bounded-degree regular graphs with second eigenvalue exactly Ξ» = (1 βˆ’ Ξ±)/(2Ξ±) for various Ξ». The second eigenvalue multiplicity we construct is much smaller than that in [HSZZ22]. However, to our knowledge, this is the first result giving unbounded second eigenvalue multiplicity when the eigenvalue is fixed.…”
Section: Introductionmentioning
confidence: 66%
“…McKenzie, Rasmussen, and Srivastava [MRS21] improved the upper bound to n/ log 1/5βˆ’o(1) n in the case of regular graphs, and also provided sublinear upper bounds in the unbounded degree case. On the other side, Haiman, Schildkraut, Zhang, and Zhao [HSZZ22] gave a lower bound (i.e. a construction of bounded-degree graphs with large second eigenvalue multiplicity) of n 1/2βˆ’o(1) .…”
Section: Introductionmentioning
confidence: 99%
“…. Then H t is a disjoint union of the spiders (K In [3], the authors relaxed the notion of eigenvalue multiplicity to counting the number of eigenvalues in subsets of R; this gives us a formulation to talk about eigenvalue multiplicities with regards to subdivision. Given I βŠ‚ R, let m G (I) be the number of eigenvalues of G (counting with multiplicities) that lie in I.…”
Section: Applicationsmentioning
confidence: 99%
“…They used it to solve a long-standing conjecture about equiangular lines. In a follow-up article [3], Haiman et al, came up with a construction which showed that the upper bound on m(Ξ» 2 , G) would be sharp if the notion of multiplicity was relaxed to the 'approximate second eigenvalue multiplicity.' This construction uses Cartesian product of graphs and then a subdivision of a subset of edges to show desired spectral properties.…”
Section: Introductionmentioning
confidence: 99%
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