A tight lower bound on the matching number of graphs via Laplacian eigenvalues
Xiaofeng Gu, Muhuo Liu

TL;DR
This paper establishes a precise lower bound on the matching number of graphs based on Laplacian eigenvalues, improving previous bounds and extending results to factor-critical graphs and other spanning structures.
Contribution
It introduces a tight lower bound on the matching number using Laplacian eigenvalues and extends the analysis to factor-critical graphs and various spanning subgraphs.
Findings
Proves a tight lower bound on the matching number based on Laplacian eigenvalues.
Shows that graphs with certain eigenvalue conditions are factor-critical.
Provides bounds for the number of balloons, spanning even subgraphs, and spanning trees with degree constraints.
Abstract
Let and denote the matching number of a non-empty simple graph with vertices and the -th smallest eigenvalue of its Laplacian matrix, respectively. In this paper, we prove a tight lower bound This bound strengthens the result of Brouwer and Haemers who proved that if is even and , then has a perfect matching. A graph is factor-critical if for every vertex , has a perfect matching. We also prove an analogue to the result of Brouwer and Haemers mentioned above by showing that if is odd and , then is factor-critical. We use the separation inequality of Haemers to get a useful lemma, which is the key idea in the proofs. This lemma is of its own interest and has other…
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