Maximum Semidefinite and Linear Extension Complexity of Families of Polytopes
Gennadiy Averkov, Volker Kaibel, Stefan Weltge

TL;DR
This paper establishes geometric bounds on the maximum semidefinite and linear extension complexity of polytopes, linking it to the family size and pairwise Hausdorff distance, with implications for 0/1-polytopes and polygons.
Contribution
It introduces a geometric approach to bound extension complexity, avoiding complex factorizations, and provides improved bounds for 0/1-polytopes and polygons.
Findings
Bounds on extension complexity related to family size and Hausdorff distance
Linear extension complexity of d-dimensional 0/1-polytopes is O(2^d / d)
Geometric proof based on maximum volume inscribed ellipsoids
Abstract
We relate the maximum semidefinite and linear extension complexity of a family of polytopes to the cardinality of this family and the minimum pairwise Hausdorff distance of its members. This result directly implies a known lower bound on the maximum semidefinite extension complexity of 0/1-polytopes. We further show how our result can be used to improve on the corresponding bounds known for polygons with integer vertices. Our geometric proof builds upon nothing else than a simple well-known property of maximum volume inscribed ellipsoids of convex bodies. In particular, it does not rely on factorizations over the semidefinite cone and thus avoids involved procedures of balancing them as required, e.g., in [Briet, Dadush & Pokutta 2015]. We hope that revealing the geometry behind the phenomenon opens doors for further results. Moreover, we show that the linear extension complexity of…
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