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On bags and bugs

Authors: Pierre Hansen; Dragan Stevanovic;

On bags and bugs

Abstract

A \textit{bag} \(Bag_{p,q}\) and a \textit{bug} \(Bug_{p,q_1,q_2}\) are graphs obtained from a complete graph \(K_p\) by replacing an edge \(uv\) with a path \(P_q\) joining \(u,v\) and by disjoint paths \(P_{q_1}\) attached at \(u\) and \(P_{q_2}\) attached at \(v\). The largest eigenvalue of the adjacency matrix of a graph is its \textit{index}. The authors consider two extremal problems of a type proposed in [\textit{R. A. Brualdi, E. S. Solheid}, ``On the spectral radius of complementary acyclic matrices of zeros and ones.'' SIAM J. Algebraic Discrete Methods 7, 265--272 (1986; Zbl 0591.05051)]. Theorems 4 and 5 characterize, respectively in terms of bags and bugs, graphs on \(n\) vertices of maximum index having respectively a prescribed diameter, and a prescribed radius, proving structural conjectures obtained using the AutoGraphiX (AGX) software system (cf., [\textit{M. Aouchiche, J. M. Bonnefoy, A. Fidahoussen, G. Caporossi, P. Hansen, L. Hiesse, J. Lacheré, A. Monhait}, Variable neighborhood search for extremal graphs. XIV: The AutoGraphiX 2 system. Liberti, Leo et al., Global optimization. From theory to implementation. (New York), NY: Springer. Nonconvex Optimization and Its Applications 84, 281-310 (2006; Zbl 1100.90052)]).

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Keywords

index, Extremal problems in graph theory, Distance in graphs, Graphs and linear algebra (matrices, eigenvalues, etc.), Bags, extremal graphs, Applied Mathematics, Extremal graphs, graph, Graph, bug, Index, Radius, Diameter, Graph theory (including graph drawing) in computer science, Discrete Mathematics and Combinatorics, Bugs, bag, diameter, radius

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
34
Top 10%
Top 10%
Top 10%
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