Extremal chromatic bounds for distance Laplacian eigenvalues
Bilal Ahmad Rather

TL;DR
This paper establishes sharp bounds on the eigenvalues of the distance Laplacian matrix of graphs based on their chromatic number, refining previous spectral distribution theorems.
Contribution
It introduces a color-class majorization principle that improves lower bounds on eigenvalues and characterizes extremal graphs for minimum spectral values at fixed chromatic number.
Findings
Proves a majorization principle relating color-class sizes to eigenvalue bounds.
Refines bounds on the number of eigenvalues above a chromatic threshold.
Characterizes extremal graphs minimizing the largest eigenvalue for given chromatic number.
Abstract
For a connected simple graph on vertices with chromatic number , the distance Laplacian matrix is , where is the distance matrix and is the transmission. The eigenvalues of are ordered as . Building on the chromatic lower bound and subsequent developments, we prove a \emph{color-class majorization principle}: if are the color-class sizes in an optimal -coloring with , then the first distance Laplacian eigenvalues satisfy , for . This gives sharp lower bounds on the number of eigenvalues above the chromatic threshold…
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