Geometric boundary characterization by rank loci
Geometric boundary characterization by rank loci
Let be a matrix represented as a slack matrix of nested polytopes . A spectrahedral shadow of size between and is a linear projection of a spectrahedron of size . The rank- locus of consists of points whose lifts include a positive semidefinite matrix of rank . Geometric boundary conjecture. The matrix lies on the boundary if and only if every spectrahedral shadow of size satisfying contains vertices of at rank-one loci and touches facets of at rank- loci. This is presented as the geometric version of the boundary characterization by rank-one factors, and the supplied text gives no resolution.
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Primary source
Kaie Kubjas, Elina Robeva and Richard Z. Robinson, “Positive semidefinite rank and nested spectrahedra”, arXiv:1512.08766 (2017).
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