Spectral Gap of the Largest Eigenvalue of the Normalized Graph Laplacian

Jürgen Jost , Raffaella Mulas , Florentin Münch

Communications in Mathematics and Statistics ›› 2022, Vol. 10 ›› Issue (3) : 371 -381.

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Communications in Mathematics and Statistics ›› 2022, Vol. 10 ›› Issue (3) : 371 -381. DOI: 10.1007/s40304-020-00222-7
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Spectral Gap of the Largest Eigenvalue of the Normalized Graph Laplacian

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Abstract

We offer a new method for proving that the maxima eigenvalue of the normalized graph Laplacian of a graph with n vertices is at least $\frac{n+1}{n-1}$ provided the graph is not complete and that equality is attained if and only if the complement graph is a single edge or a complete bipartite graph with both parts of size $\frac{n-1}{2}$. With the same method, we also prove a new lower bound to the largest eigenvalue in terms of the minimum vertex degree, provided this is at most $\frac{n-1}{2}$.

Keywords

Spectral graph theory / Normalized Laplacian / Largest eigenvalue / Sharp bounds

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Jürgen Jost, Raffaella Mulas, Florentin Münch. Spectral Gap of the Largest Eigenvalue of the Normalized Graph Laplacian. Communications in Mathematics and Statistics, 2022, 10(3): 371-381 DOI:10.1007/s40304-020-00222-7

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Funding

Max Planck Institute for Mathematics in the Sciences (2)

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