A note on the positive semidefinitness of $A_\alpha (G)$
Vladimir Nikiforov, Oscar Rojo

TL;DR
This paper investigates the conditions under which the matrix $A_eta(G)$, a convex combination of the degree matrix and adjacency matrix of a graph, is positive semidefinite, providing explicit formulas and characterizations.
Contribution
It derives a formula for $eta_0(G)$ for regular graphs, characterizes bipartite graphs via $eta_0(G)$, and relates $eta_0(G)$ to the chromatic number.
Findings
$eta_0(G)$ equals $-rac{ ext{smallest eigenvalue of }A(G)}{d - ext{smallest eigenvalue}}$ for $d$-regular graphs.
$G$ has a bipartite component if and only if $eta_0(G)=1/2$.
For $r$-colorable graphs, $eta_0(G) ext{ is at least }1/r$.
Abstract
Let be a graph with adjacency matrix and let be the diagonal matrix of the degrees of . For every real , write for the matrix \[ A_{\alpha}\left( G\right) =\alpha D\left( G\right) +(1-\alpha)A\left( G\right) . \] Let be the smallest for which is positive semidefinite. It is known that . The main results of this paper are: (1) if is -regular then \[ \alpha_{0}=\frac{-\lambda_{\min}(A(G))}{d-\lambda_{\min}(A(G))}, \] where is the smallest eigenvalue of ; (2) contains a bipartite component if and only if ; (3) if is -colorable, then .
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Taxonomy
TopicsGraph theory and applications · Matrix Theory and Algorithms · graph theory and CDMA systems
