TY - JOUR
T1 - On the sum of distance signless Laplacian eigenvalues of graphs
AU - Khan, Saleem
AU - Pirzada, S.
AU - Das, Kinkar Chandra
N1 - Publisher Copyright:
© The Indian National Science Academy 2025.
PY - 2025
Y1 - 2025
N2 - For a connected graph Γ with order n, size m and diameter d, the distance signless Laplacian matrix DQ(Γ) is defined as DQ(Γ)=Tr(Γ)+D(Γ), where Tr(Γ) is the diagonal matrix of vertex transmissions and D(Γ) is the distance matrix of Γ. The eigenvalues of DQ(Γ) are the distance signless Laplacian eigenvalues of Γ and are denoted by ∂1≥∂2≥⋯≥∂n. The largest eigenvalue ∂1 is called the distance signless Laplacian spectral radius. Let Mk(Γ)=∑i=1k∂i and Nk(Γ)=∑i=0k-1∂n-i be the sum of k-largest and the sum of k-smallest distance signless Laplacian eigenvalues of Γ, respectively. In this paper, we obtain the upper bounds for Mk(Γ)=∑i=1k∂i and determine the extremal cases. Also, we obtain the upper bounds for ∂1 and determine the extremal graphs. As a consequence, we obtain the lower bounds for Nk(Γ)=∑i=0k-1∂n-i and for smallest eigenvalue ∂n and determine the extremal graphs. Moreover, we obtain the upper bounds for the sum of the squares of the vertex transmissions and sum of the squares of the distances of the vertices and show that the bounds are best possible in each case. As an application, we obtain the upper bounds for the distance signless Laplacian energy of graphs and determine the extremal cases.
AB - For a connected graph Γ with order n, size m and diameter d, the distance signless Laplacian matrix DQ(Γ) is defined as DQ(Γ)=Tr(Γ)+D(Γ), where Tr(Γ) is the diagonal matrix of vertex transmissions and D(Γ) is the distance matrix of Γ. The eigenvalues of DQ(Γ) are the distance signless Laplacian eigenvalues of Γ and are denoted by ∂1≥∂2≥⋯≥∂n. The largest eigenvalue ∂1 is called the distance signless Laplacian spectral radius. Let Mk(Γ)=∑i=1k∂i and Nk(Γ)=∑i=0k-1∂n-i be the sum of k-largest and the sum of k-smallest distance signless Laplacian eigenvalues of Γ, respectively. In this paper, we obtain the upper bounds for Mk(Γ)=∑i=1k∂i and determine the extremal cases. Also, we obtain the upper bounds for ∂1 and determine the extremal graphs. As a consequence, we obtain the lower bounds for Nk(Γ)=∑i=0k-1∂n-i and for smallest eigenvalue ∂n and determine the extremal graphs. Moreover, we obtain the upper bounds for the sum of the squares of the vertex transmissions and sum of the squares of the distances of the vertices and show that the bounds are best possible in each case. As an application, we obtain the upper bounds for the distance signless Laplacian energy of graphs and determine the extremal cases.
KW - Diameter
KW - Distance matrix
KW - Distance signless Laplacian eigenvalues
KW - Distance signless Laplacian matrix
KW - Wiener index
UR - https://www.scopus.com/pages/publications/85217234838
U2 - 10.1007/s13226-025-00750-4
DO - 10.1007/s13226-025-00750-4
M3 - Article
AN - SCOPUS:85217234838
SN - 0019-5588
JO - Indian Journal of Pure and Applied Mathematics
JF - Indian Journal of Pure and Applied Mathematics
ER -