Computing the $A_{\alpha}-$ eigenvalues of a bug
Oscar Rojo

TL;DR
This paper investigates the eigenvalues of the matrix $A_{\alpha}$ for a specific class of graphs called bugs, providing explicit eigenvalue formulas and methods to compute the spectral radius efficiently.
Contribution
It derives explicit eigenvalue formulas for $A_{\alpha}$ of bug graphs and introduces a method to compute the spectral radius using symmetric tridiagonal matrices.
Findings
Eigenvalue $(n-d+2)\alpha -1$ has multiplicity $n-d-1$ in $A_{\alpha}(B)$.
Other eigenvalues, including the spectral radius, are eigenvalues of a symmetric tridiagonal matrix.
Spectral radius of $A_{\alpha}$ for certain bugs can be computed via smaller symmetric tridiagonal matrices.
Abstract
Let be a simple undirected graph. For , let \begin{equation*} A_{\alpha}\left( G\right) =\alpha D\left( G\right) +(1-\alpha)A\left( G\right) , \end{equation*} where is the adjacency matrix of and is the diagonal matrix of the degrees of . In particular, and where is the signless Laplacian matrix of . A bug is a graph obtained from a complete graph by deleting an edge and attaching paths and to its ends. In \cite{HaSt08}, Hansen and Stevanovi\'{c} proved that, among the graphs of order and diameter , the largest spectral radius of is attained by the bug . In \cite{LiLu14}, Liu and Lu proved the same result for the spectral radius of . Let be the spectral…
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Taxonomy
TopicsCryptography and Residue Arithmetic · Numerical Methods and Algorithms · Polynomial and algebraic computation
