Lower Bounds on the Complexity of Mixed-Integer Programs for Stable Set and Knapsack
Jamico Schade, Makrand Sinha, Stefan Weltge
TL;DR
A polyhedral reduction is obtained for the stable set problem on jats:italic-node graphs by a polyhedral reduction and improves the previously known bounds of the jats:inline-formula integer variables.
Abstract
Standard mixed-integer programming formulations for the stable set problem on $n$-node graphs require $n$ integer variables. We prove that this is almost optimal: We give a family of $n$-node graphs for which every polynomial-size MIP formulation requires $Ω(n/\log^2 n)$ integer variables. By a polyhedral reduction we obtain an analogous result for $n$-item knapsack problems. In both cases, this improves the previously known bounds of $Ω(\sqrt{n}/\log n)$ by Cevallos, Weltge & Zenklusen (SODA 2018). To this end, we show that there exists a family of $n$-node graphs whose stable set polytopes satisfy the following: any $(1+\varepsilon/n)$-approximate extended formulation for these polytopes, for some constant $\varepsilon > 0$, has size $2^{Ω(n/\log n)}$. Our proof extends and simplifies the information-theoretic methods due to Göös, Jain & Watson (FOCS 2016, SIAM J. Comput. 2018) who showed the same result for the case of exact extended formulations (i.e. $\varepsilon = 0$).
