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Matrix-Test Duality: A Support-Function Characterization for C^*-Convex Families of CP Maps

2025/11/17 by Mohsen Kian, Kian, Mohsen, Mario Krnic
#math.OA #math.FA

paper · pdf · doi:10.48550/arxiv.2511.13101

Abstract

We develop a matrix-test dual framework for C^*-convex families of completely positive maps \CP(\mathscr S,\mathscr T), where \mathscr S is an operator system and \mathscr T is a unital C^*-algebra. Matrix tests (k,f,s) induce evaluation functionals Φ↦ f(Φk(s)) and generate a natural weak topology τ=σ(\mathcal E,\mathcal F) on \mathcal E=span\mathbb C(\CP(\mathscr S,\mathscr T)). Our main result provides a support-function/separation characterization of the τ-closed C^*-convex hull \cconv(\mathcal K) τ of a family \mathcal K⊆ \CP(\mathscr S,\mathscr T) in terms of matrix-test inequalities. A key technical tool is a finite-dimensional folding procedure that compresses finite linear combinations of test functionals into a single higher-level matrix test. As consequences, we obtain a single-test witness for non-membership, support-function criteria for inclusion and equality of τ-closed C^*-convex hulls, and, under 0∈\cconv(\mathcal K) τ, an exact normalized bipolar-type reconstruction statement. We also show that τ is already generated by level-1 tests, although higher matrix levels remain essential in the geometric test inequalities.

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