Hamiltonicity of sparse pseudorandom graphs

Abstract We show that every $(n,d,\lambda )$ -graph contains a Hamilton cycle for sufficiently large $n$ , assuming that $d\geq \log ^{6}n$ and $\lambda \leq cd$ , where $c=\frac {1}{70000}$ . This significantly improves a recent result of Glock, Correia, and Sudakov, who obtained a similar result for $d$ that grows polynomially with $n$ . The proof is based on a new result regarding the second largest eigenvalue of the adjacency matrix of a subgraph induced by a random subset of vertices, combined with a recent result on connecting designated pairs of vertices by vertex-disjoint paths in $(n,d,\lambda )$ -graphs. We believe that the former result is of independent interest and will have further applications.

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Publication Details

Journal
Combinatorics Probability Computing
Published
2025-03-25
DOI
https://doi.org/10.1017/s0963548325000070
Primary Topic
Coding theory and cryptography
Type
article
Field-Weighted Citation Impact
0.00

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article

Hamiltonicity of sparse pseudorandom graphs

Roman Vershynin, Jie Han, Dingjia Mao, Asaf Ferber
Combinatorics Probability Computing
Coding theory and cryptography
article

Hamiltonicity of sparse pseudorandom graphs

Roman Vershynin, Jie Han, Dingjia Mao, Asaf Ferber
article en

Abstract

Abstract We show that every $(n,d,\lambda )$ -graph contains a Hamilton cycle for sufficiently large $n$ , assuming that $d\geq \log ^{6}n$ and $\lambda \leq cd$ , where $c=\frac {1}{70000}$ . This significantly improves a recent result of Glock, Correia, and Sudakov, who obtained a similar result for $d$ that grows polynomially with $n$ . The proof is based on a new result regarding the second largest eigenvalue of the adjacency matrix of a subgraph induced by a random subset of vertices, combined with a recent result on connecting designated pairs of vertices by vertex-disjoint paths in $(n,d,\lambda )$ -graphs. We believe that the former result is of independent interest and will have further applications.

Combinatorics Probability ComputingVol. 34(4)
Beijing Institute of Technology (CN), University of California, Irvine (US)
National Science Foundation, National Natural Science Foundation of China
Openalex Percentile: Top 97%
Coding theory and cryptography
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