An Optimization-Based Sum-of-Squares Approach to Vizing's Conjecture

被引:3
|
作者
Gaar, Elisabeth [1 ]
Wiegele, Angelika [1 ]
Krenn, Daniel [2 ]
Margulies, Susan [3 ]
机构
[1] Alpen Adria Univ, Klagenfurt, Austria
[2] Uppsala Univ, Uppsala, Sweden
[3] US Naval Acad, Annapolis, MD USA
基金
奥地利科学基金会; 欧盟地平线“2020”;
关键词
Vizing's conjecture; algebraic model; Grobner basis; sum-of-squares problems; semidefinite programming;
D O I
10.1145/3326229.3326239
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Vizing's conjecture (open since 1968) relates the sizes of dominating sets in two graphs to the size of a dominating set in their Cartesian product graph. In this paper, we formulate Vizing's conjecture itself as a Positivstellensatz existence question. In particular, we encode the conjecture as an ideal/polynomial pair such that the polynomial is nonnegative if and only if the conjecture is true. We demonstrate how to use semidefinite optimization techniques to computationally obtain numeric sum-of-squares certificates, and then show how to transform these numeric certificates into symbolic certificates approving nonnegativity of our polynomial. After outlining the theoretical structure of this computer-based proof of Vizing's conjecture, we present computational and theoretical results. In particular, we present exact low-degree sparse sum-of-squares certificates for particular families of graphs.
引用
收藏
页码:155 / 162
页数:8
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