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Linear Algebra and its Applications
Article . 2018 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
https://dx.doi.org/10.48550/ar...
Article . 2017
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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On the A-characteristic polynomial of a graph

Authors: Xiaogang Liu; Shunyi Liu;

On the A-characteristic polynomial of a graph

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 $$ A_α(G)=αD(G)+(1-α)A(G) $$ for any real $α\in [0,1]$. The $A_α$-characteristic polynomial of $G$ is defined to be $$ \det(xI_n-A_α(G))=\sum_jc_{αj}(G)x^{n-j}, $$ where $\det(*)$ denotes the determinant of $*$, and $I_n$ is the identity matrix of size $n$. The $A_α$-spectrum of $G$ consists of all roots of the $A_α$-characteristic polynomial of $G$. A graph $G$ is said to be determined by its $A_α$-spectrum if all graphs having the same $A_α$-spectrum as $G$ are isomorphic to $G$. In this paper, we first formulate the first four coefficients $c_{α0}(G)$, $c_{α1}(G)$, $c_{α2}(G)$ and $c_{α3}(G)$ of the $A_α$-characteristic polynomial of $G$. And then, we observe that $A_α$-spectra are much efficient for us to distinguish graphs, by enumerating the $A_α$-characteristic polynomials for all graphs on at most 10 vertices. To verify this observation, we characterize some graphs determined by their $A_α$-spectra.

arXiv admin note: text overlap with arXiv:1709.00792

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Keywords

FOS: Mathematics, Combinatorics (math.CO), 05C50

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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!
29
Top 10%
Top 10%
Top 10%
bronze