2016
DOI: 10.1007/s10587-016-0301-y
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Spectral radius and Hamiltonicity of graphs with large minimum degree

Abstract: This paper presents sufficient conditions for Hamiltonian paths and cycles in graphs. Letting λ (G) denote the spectral radius of the adjacency matrix of a graph G, the main results of the paper are:(1) Let k ≥ 1, n ≥ k 3 /2 + k + 4, and let G be a graph of order n, with minimum degree(2) Let k ≥ 1, n ≥ k 3 /2 + k 2 /2 + k + 5, and let G be a graph of order n, with minimum degreethen G has a Hamiltonian path, unlessIn addition, it is shown that in the above statements, the bounds on n are tight within an addit… Show more

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Cited by 40 publications
(32 citation statements)
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“…We note for any admissible k and n, graphs L k (n) and M k (n) are not Hamiltonian. Strengthening a result by Li and Ning [8], Nikiforov [10] proved the following theorem.…”
Section: Introductionmentioning
confidence: 70%
See 2 more Smart Citations
“…We note for any admissible k and n, graphs L k (n) and M k (n) are not Hamiltonian. Strengthening a result by Li and Ning [8], Nikiforov [10] proved the following theorem.…”
Section: Introductionmentioning
confidence: 70%
“…The main work is to prove a lower bond on the difference between the largest entry and the smallest entry (of a particular subset of vertices) of the principal eigenvector of a family of graphs. We mention here that the idea in the proof of Lemma 2 can be used to give an alternative proof for Theorem 6 in [10]. We next construct a graph that is a variant of M k (n).…”
Section: Concluding Remarks and Examplesmentioning
confidence: 99%
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“…Recently, by imposing the minimum degree of a graph as a new parameter, Li and Ning [14,15] extended some the results in [9,18,23]. Now, their results were improved by Nikiforov [22], Chen et al [5], Ge et al [10] and Li et al [17], in some sense.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Li and Ning [10] gave the spectral analogue of Moon-Moser's theorem [13]. For more results, readers are referred to [1,3,9,11,12,14,16].…”
Section: Introductionmentioning
confidence: 99%