Equivariant semidefinite lifts and sum-of-squares hierarchies
Hamza Fawzi, James Saunderson, Pablo A. Parrilo

TL;DR
This paper develops a representation-theoretic framework to analyze symmetric positive semidefinite lifts of polytopes, proving exponential lower bounds for certain well-known polytopes, advancing understanding of their complexity.
Contribution
It introduces a new framework for studying equivariant psd lifts of orbitopes, revealing their sum-of-squares structure and establishing exponential lower bounds.
Findings
Equivariant psd lifts of orbitopes are of sum-of-squares type.
Invariant subspaces involved have dimension smaller than d^3.
Exponential lower bounds are proved for parity and cut polytopes.
Abstract
A central question in optimization is to maximize (or minimize) a linear function over a given polytope P. To solve such a problem in practice one needs a concise description of the polytope P. In this paper we are interested in representations of P using the positive semidefinite cone: a positive semidefinite lift (psd lift) of a polytope P is a representation of P as the projection of an affine slice of the positive semidefinite cone . Such a representation allows linear optimization problems over P to be written as semidefinite programs of size d. Such representations can be beneficial in practice when d is much smaller than the number of facets of the polytope P. In this paper we are concerned with so-called equivariant psd lifts (also known as symmetric psd lifts) which respect the symmetries of the polytope P. We present a representation-theoretic framework to…
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Taxonomy
TopicsRobotic Mechanisms and Dynamics · Advanced Optimization Algorithms Research · Advanced Measurement and Metrology Techniques
