A Convex Quadratic Characterization of the Lovász Theta Number
A Convex Quadratic Characterization of the Lovász Theta Number
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DOI:
10.1137/s0895480104429181
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发表时间:
2005-06
期刊:
影响因子:
--
通讯作者:
C. Luz;A. Schrijver
中科院分区:
文献类型:
--
作者:
C. Luz;A. Schrijver
In previous works an upper bound on the stability number $\alpha(G)$ of a graph G based on convex quadratic programming was introduced and several of its properties were established. The aim for this investigation is to relate theoretically this bound (usually represented by $\upsilon(G)$) with the well-known Lovasz $\vartheta(G)$ number. First, a new set of convex quadratic bounds on $\alpha(G)$ that generalize and improve the bound $\upsilon(G)$ is proposed. Then it is proved that $\vartheta(G)$ is never worse than any bound belonging to this set of new bounds. The main result of this note states that one of these new bounds equals $\vartheta(G)$, a fact that leads to a new characterization of the Lovasz theta number.