No Arabic abstract
Let $G$ be a graph with $n$ vertices, and let $A(G)$ and $D(G)$ denote respectively the adjacency matrix and the degree matrix of $G$. Define $$ A_{alpha}(G)=alpha D(G)+(1-alpha)A(G) $$ for any real $alphain [0,1]$. The $A_{alpha}$-characteristic polynomial of $G$ is defined to be $$ det(xI_n-A_{alpha}(G))=sum_jc_{alpha j}(G)x^{n-j}, $$ where $det(*)$ denotes the determinant of $*$, and $I_n$ is the identity matrix of size $n$. The $A_{alpha}$-spectrum of $G$ consists of all roots of the $A_{alpha}$-characteristic polynomial of $G$. A graph $G$ is said to be determined by its $A_{alpha}$-spectrum if all graphs having the same $A_{alpha}$-spectrum as $G$ are isomorphic to $G$. In this paper, we first formulate the first four coefficients $c_{alpha 0}(G)$, $c_{alpha 1}(G)$, $c_{alpha 2}(G)$ and $c_{alpha 3}(G)$ of the $A_{alpha}$-characteristic polynomial of $G$. And then, we observe that $A_{alpha}$-spectra are much efficient for us to distinguish graphs, by enumerating the $A_{alpha}$-characteristic polynomials for all graphs on at most 10 vertices. To verify this observation, we characterize some graphs determined by their $A_{alpha}$-spectra.
Let $G$ be a graph with adjacency matrix $A(G)$ and let $D(G)$ be the diagonal matrix of the degrees of $G$. For every real $alphainleft[ 0,1right],$ define the matrix $A_{alpha}left(Gright) $ as [ A_{alpha}left(Gright) =alpha Dleft(Gright) +(1-alpha)Aleft(Gright) ] where $0leqalphaleq1$. This paper gives several results about the $A_{alpha}$-matrices of trees. In particular, it is shown that if $T_{Delta}$ is a tree of maximal degree $Delta,$ then the spectral radius of $A_{alpha}(T_{Delta})$ satisfies the tight inequality [ rho(A_{alpha}(T_{Delta}))<alphaDelta+2(1-alpha)sqrt{Delta-1}. ] This bound extends previous bounds of Godsil, Lovasz, and Stevanovic. The proof is based on some new results about the $A_{alpha}$-matrices of Bethe trees and generalized Bethe trees. In addition, several bounds on the spectral radius of $A_{alpha}$ of general graphs are proved, implying tight bounds for paths and Bethe trees.
We define a correlated random walk (CRW) induced from the time evolution matrix (the Grover matrix) of the Grover walk on a graph $G$, and present a formula for the characteristic polynomial of the transition probability matrix of this CRW by using a determinant expression for the generalized weighted zeta function of $G$. As applications, we give the spectrum of the transition probability matrices for the CRWs induced from the Grover matrices of regular graphs and semiregular bipartite graphs. Furthermore, we consider another type of the CRW on a graph.
In this note, we show how to obtain a characteristic power series of graphons -- infinite limits of dense graphs -- as the limit of normalized reciprocal characteristic polynomials. This leads to a new characterization of graph quasi-randomness and another perspective on spectral theory for graphons, a complete description of the function in terms of the spectrum of the graphon as a self-adjoint kernel operator. Interestingly, while we apply a standard regularization to classical determinants, it is unclear how necessary this is.
In this paper, we give a reduced formula of the characteristic polynomial of $k$-uniform hypergraphs with a pendant edge. And the explicit characteristic polynomial and all distinct eigenvalues of $k$-uniform hyperpath are given.
Let $Gamma$ be a $Q$-polynomial distance-regular graph of diameter $dgeq 3$. Fix a vertex $gamma$ of $Gamma$ and consider the subgraph induced on the union of the last two subconstituents of $Gamma$ with respect to $gamma$. We prove that this subgraph is connected.