The alternating and adjacency polynomials, and ... - Semantic Scholar

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set V = VT, 1 V/ = n, and edge set E = ET. For any vertex ej E ... if 6(ei) = 6 for all 16 i Gn. The distance between two vertices ei and ej will be denoted by 8(el,qi).
DISCRETE APPLIED MATHEMATICS ELSEVIER

Discrete Applied Mathematics

87 ( 1998) 77-97

The alternating and adjacency polynomials, and their relation with the spectra and diameters of graphs* M.A. Fiol*,

E. Garriga

Depurtament de Matemriticu Aplicudu i Telemirticu. Jordi Gironu l-3, Mbdul C3, Cumpus Nerd, Universitut Politthica de Cutulunyu, 08034-Burcrlonu. Spain Received

5 August

1997; received

in revised form 16 February

1998; accepted

6 April 1998

Abstract Let r be a graph on n vertices, adjacency matrix A, and distinct eigenvalues 1> i.1 > i,z > . > Ad. For every k = 0,1,. . , d - 1, the k-alternating polynomial Pk is defined to be the polynomial of degree k and norm llPklloo=maxlQlad {IPk(&)l} = 1 that attains maximum value at i. These polynomials, which may be thought of as the discrete version of the Chebychev ones, were recently used by the authors to bound the diameter D(T) of r in terms of its eigenvalues. Namely, it was shown that Pk(j>)> llvl12 - 1 +D(T) . . . > Ad be the d + 1 distinct eigenvalues of a b-regular graph P, with order n and diameter D. Thus, Alon and Milman [l] and Mohar [28] gave results in terms of the two first eigenvalues LOand 11. Then, several results using the first eigenvalue 20 and either the second largest eigenvalue in absolute value, 1, = max{lt, --Ad}, or both 11 and & have been given by Lubotzky et al. [27], and Chung [4] D
‘-‘I- 1)

cash-‘(lo/&) where e = [(g e’ [16] (in the problems). This 1, >2Jm), Results (l)-(3) and set IIPllm =

(4)

1)/2J( 2 1) is the so-called “injectivity radius” [29] or “parameter latter paper this parameter was used in the context of connectivity result improves, for “large enough” graphs (more precisely, when the result (2) of Sarnak [31], and Chung et al. [5]. admit the following unified presentation. Let P be a real polynomial mw~iQd{lP(A)l).

P(~~)>lIPlldn

-

Then,

1)*@06dgrP,

(5)

whereas the result in (4) stems from the implication

P(~o)>llPllm Izo~~o r lje_, - 1) *D(T)

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