Spectra of closeness Laplacian and closeness signless Laplacian of graphs
RAIRO. Operations Research, Tome 56 (2022) no. 5, pp. 3525-3543

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 c G (u)= w 2 -d G (u,w) . Given a graph G that is not necessarily connected, for u, vV(G), the closeness matrix of G is the matrix whose (u,v)-entry is equal to 2 -d G (u,v) if uv and 0 otherwise, the closeness Laplacian is the matrix whose (u,v)-entry is equal to

-2 -d G (u,v) if uv,c G (u) otherwise

and the closeness signless Laplacian is the matrix whose (u,v)-entry is equal to

2 -d G (u,v) & if uv,c G (u) otherwise .

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.

DOI : 10.1051/ro/2022161
Classification : 05C50, 15A42, 15C35
Keywords: Closeness Laplacian spectrum, closeness signless Laplacian spectrum, distances in graphs, extremal graphs
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     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/}
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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

L. Zheng and B. Zhou, On the spectral closeness and residual spectral closeness of graphs. RAIRO: OR 56 (2022) 2651–2668. | MR | Zbl | Numdam | DOI

R. B. Bapat, A. K. Lal and S. Pati, A q -analogue of the distance matrix of a tree. Linear Algebra Appl. 416 (2006) 799–814. | MR | Zbl | DOI

W. Yan and Y.-N. Yeh, The determinants of q -distance matrices of trees and two quantities relating to permutations. Adv. Appl. Math. 39 (2007) 311–321. | MR | Zbl | DOI

C. Dangalchev, Residual closeness in networks. Phys. A 365 (2006) 556–564. | DOI

C. Dangalchev, Residual closeness and generalized closeness. Internat. J. Found. Comput. Sci. 22 (2011) 1939–1948. | MR | Zbl | DOI

D. Rupnik Poklukar and J. Žerovnik, Networks with extremal closeness. Fund. Inform. 167 (2019) 219–234. | MR | Zbl

A. Aytaç and Z. N. Odabaş, Robustness of regular caterpillars. Internat. J. Found. Comput. Sci. 28 (2017) 835–841. | MR | Zbl | DOI

H. Hosoya, On some counting polynomials in chemistry. Discrete Appl. Math. 19 (1988) 239–257. | MR | Zbl | DOI

L. Zheng and B. Zhou, The closeness spectral properties of graphs. Preprint

S. Butler, E. Cooper, A. Li, K. Lorenzen and Z. Schopick, Spectral properties of the exponential distance matrix. Preprint (2019). | arXiv | MR | Zbl

K. J. Lorenzen, Cospectral Constructions and Spectral Properties of Variations of the Distance Matrix. Ph.D. thesis, Iowa State University, USA (2021). | MR | DOI

M. Aouchiche and P. Hansen, Two Laplacians for the distance matrix of a graph. Linear Algebra Appl. 439 (2013) 21–33. | MR | Zbl | DOI

R. A. Horn and C. R. Johnson, Matrix Analysis, 2nd ed.. Cambridge University Press, Cambridge (2013). | MR | Zbl

A. Brouwer and W. Haemers, Spectra of Graphs. Springer, New York (2012). | MR | Zbl | DOI

H. Guo and B. Zhou, Minimum status of trees with a given degree sequence. Acta Inform. (2022) . | DOI | MR | Zbl

D. Vukičević and G. Caporossi, Network descriptors based on betweenness centrality and transmission and their extremal values. Discrete Appl. Math. 161 (2013) 2678–2686. | MR | Zbl | DOI

V. Nikiforov, Merging the A- and Q-spectral theories. Appl. Anal. Discrete Math. 11 (2017) 81–107. | MR | Zbl | DOI

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