Simultaneously Satisfying Linear Equations Over $\mathbb{F}_2$: MaxLin2 and Max-$r$-Lin2 Parameterized Above Average
Abstract
In the parameterized problem \textsc{MaxLin2-AA}[], we are given a system with variables consisting of equations of the form , where and each equation has a positive integral weight, and we are to decide whether it is possible to simultaneously satisfy equations of total weight at least , where is the total weight of all equations and is the parameter (if , the possibility is assured). We show that \textsc{MaxLin2-AA}[] has a kernel with at most variables and can be solved in time . This solves an open problem of Mahajan et al. (2006). The problem \textsc{Max--Lin2-AA}[] is the same as \textsc{MaxLin2-AA}[] with two differences: each equation has at most variables and is the second parameter. We prove a theorem on \textsc{Max--Lin2-AA}[] which implies that \textsc{Max--Lin2-AA}[] has a kernel with at most variables improving a number of results including one by Kim and Williams (2010). The theorem also implies a lower bound on the maximum of a function of degree . We show applicability of the lower bound by giving a new proof of the Edwards-Erd{\H o}s bound (each connected graph on vertices and edges has a bipartite subgraph with at least edges) and obtaining a generalization.
Keywords
Cite
@article{arxiv.1104.1135,
title = {Simultaneously Satisfying Linear Equations Over $\mathbb{F}_2$: MaxLin2 and Max-$r$-Lin2 Parameterized Above Average},
author = {R. Crowston and M. Fellows and G. Gutin and M. Jones and F. Rosamond and S. Thomasse and A. Yeo},
journal= {arXiv preprint arXiv:1104.1135},
year = {2011}
}