Graphs that are cospectral for the distance Laplacian

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2020-06-08
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Brimkov, Boris
Duna, Ken
Hogben, Leslie
Lorenzen, Kate
Reinhart, Carolyn
Song, Sung-Yell
Yarrow, Mark
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Hogben, Leslie
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Mathematics
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Abstract

The distance matrix D(G) of a graph G is the matrix containing the pairwise distances between vertices, and the distance Laplacian matrix is DL(G)=T(G)−D(G), where T(G) is the diagonal matrix of row sums of D(G). We establish several general methods for producing DL-cospectral graphs that can be used to construct infinite families. We provide examples showing that various properties are not preserved by DL-cospectrality, including examples of DL-cospectral strongly regular and circulant graphs. We establish that the absolute values of coefficients of the distance Laplacian characteristic polynomial are decreasing, i.e., |δL1|≥⋯≥|δLn| where δLk is the coefficient of xk.

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This article is published as Brimkov, Boris, Ken Duna, Leslie Hogben, Kate Lorenzen, Carolyn Reinhart, Sung-Yell Song, and Mark Yarrow. "Graphs that are cospectral for the distance Laplacian." The Electronic Journal of Linear Algebra 36, no. 36 (2020): 334-351. DOI: 10.13001/ela.2020.4941. Posted with permission.

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Wed Jan 01 00:00:00 UTC 2020
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