For a graph G with vertex set V(G) and u, v ∈ V(G), the distance between vertices u and v in G, denoted by d$$(u,v), is the length of a shortest path connecting them and it is ∞ if there is no such a path, and the closeness of vertex u in G is . Given a graph G that is not necessarily connected, for u, v∈V(G), the closeness matrix of G is the matrix whose (u,v)-entry is equal to if u≠v and 0 otherwise, the closeness Laplacian is the matrix whose (u,v)-entry is equal to
and the closeness signless Laplacian is the matrix whose (u,v)-entry is equal to
We establish relations connecting the spectral properties of closeness Laplacian and closeness signless Laplacian and the structural properties of graphs. We give tight upper bounds for all nontrivial closeness Laplacian eigenvalues and characterize the extremal graphs, and determine all trees and unicyclic graphs that maximize the second smallest closeness Laplacian eigenvalue. Also, we give tight upper bounds for the closeness signless Laplacian eigenvalues and determine the trees whose largest closeness signless Laplacian eigenvalues achieve the first two largest values.
Keywords: Closeness Laplacian spectrum, closeness signless Laplacian spectrum, distances in graphs, extremal graphs
@article{RO_2022__56_5_3525_0,
author = {Zheng, Lu and Zhou, Bo},
title = {Spectra of closeness {Laplacian} and closeness signless {Laplacian} of graphs},
journal = {RAIRO. Operations Research},
pages = {3525--3543},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {5},
doi = {10.1051/ro/2022161},
mrnumber = {4498602},
zbl = {1502.05151},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022161/}
}
TY - JOUR AU - Zheng, Lu AU - Zhou, Bo TI - Spectra of closeness Laplacian and closeness signless Laplacian of graphs JO - RAIRO. Operations Research PY - 2022 SP - 3525 EP - 3543 VL - 56 IS - 5 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022161/ DO - 10.1051/ro/2022161 LA - en ID - RO_2022__56_5_3525_0 ER -
%0 Journal Article %A Zheng, Lu %A Zhou, Bo %T Spectra of closeness Laplacian and closeness signless Laplacian of graphs %J RAIRO. Operations Research %D 2022 %P 3525-3543 %V 56 %N 5 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022161/ %R 10.1051/ro/2022161 %G en %F RO_2022__56_5_3525_0
Zheng, Lu; Zhou, Bo. Spectra of closeness Laplacian and closeness signless Laplacian of graphs. RAIRO. Operations Research, Tome 56 (2022) no. 5, pp. 3525-3543. doi: 10.1051/ro/2022161
and , On the spectral closeness and residual spectral closeness of graphs. RAIRO: OR 56 (2022) 2651–2668. | MR | Zbl | Numdam | DOI
, and , A -analogue of the distance matrix of a tree. Linear Algebra Appl. 416 (2006) 799–814. | MR | Zbl | DOI
and , The determinants of -distance matrices of trees and two quantities relating to permutations. Adv. Appl. Math. 39 (2007) 311–321. | MR | Zbl | DOI
, Residual closeness in networks. Phys. A 365 (2006) 556–564. | DOI
, Residual closeness and generalized closeness. Internat. J. Found. Comput. Sci. 22 (2011) 1939–1948. | MR | Zbl | DOI
and , Networks with extremal closeness. Fund. Inform. 167 (2019) 219–234. | MR | Zbl
and , Robustness of regular caterpillars. Internat. J. Found. Comput. Sci. 28 (2017) 835–841. | MR | Zbl | DOI
, On some counting polynomials in chemistry. Discrete Appl. Math. 19 (1988) 239–257. | MR | Zbl | DOI
and , The closeness spectral properties of graphs. Preprint
, , , and , Spectral properties of the exponential distance matrix. Preprint (2019). | arXiv | MR | Zbl
, Cospectral Constructions and Spectral Properties of Variations of the Distance Matrix. Ph.D. thesis, Iowa State University, USA (2021). | MR | DOI
and , Two Laplacians for the distance matrix of a graph. Linear Algebra Appl. 439 (2013) 21–33. | MR | Zbl | DOI
and , Matrix Analysis, 2nd ed.. Cambridge University Press, Cambridge (2013). | MR | Zbl
and , Spectra of Graphs. Springer, New York (2012). | MR | Zbl | DOI
and , Minimum status of trees with a given degree sequence. Acta Inform. (2022) . | DOI | MR | Zbl
and , Network descriptors based on betweenness centrality and transmission and their extremal values. Discrete Appl. Math. 161 (2013) 2678–2686. | MR | Zbl | DOI
, Merging the A- and Q-spectral theories. Appl. Anal. Discrete Math. 11 (2017) 81–107. | MR | Zbl | DOI
Cité par Sources :





