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arXiv · 2308.16711

Lower Bounds on the Complexity of Mixed-Integer Programs for Stable Set and Knapsack

Jamico Schade·Makrand Sinha·Stefan Weltge
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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 $\Omega(n/\log^2 n)$ 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 $\Omega(\sqrt{n}/\log n)$ 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 $2^{\Omega(n/\log n)}$. Our proof extends and simplifies the information-theoretic methods due to G\"o\"os, Jain & Watson (FOCS 2016, SIAM J. Comput. 2018) who showed the same result for the case of exact extended formulations (i.e. $\varepsilon = 0$).

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Jamico Schade, Makrand Sinha, Stefan Weltge. 2023-08-31. Lower Bounds on the Complexity of Mixed-Integer Programs for Stable Set and Knapsack. https://arxiv.org/abs/2308.16711

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