An Optimization-Based Sum-of-Squares Approach to Vizing's Conjecture
Abstract
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.
Cite
@article{arxiv.1901.10288,
title = {An Optimization-Based Sum-of-Squares Approach to Vizing's Conjecture},
author = {Elisabeth Gaar and Daniel Krenn and Susan Margulies and Angelika Wiegele},
journal= {arXiv preprint arXiv:1901.10288},
year = {2019}
}