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Matrix Duality and a Bipolar Theorem for Completely Positive Maps

Mohsen Kian

TL;DR

The paper develops a matrix bipolar framework for completely positive maps between operator systems by pairing CP maps with matrix tests $(k,f,s)$ and introducing the saturated polar. It proves the main result $( ext{K}^{ riangle})^{ heta_{C^*}} = ar{ ext{cconv}( ext{K})}^{ au}$, linking the $C^*$-convex hull of a map family to a $ au$-closed polar; the topology $ au$ is generated by functionals $p_{k,f,s}(oldsymbol{ lux}) = |f(oldsymbol{ lux}_k(s))|$. This unifies matrix convex, $C^*$-convex, and tracial dualities, recovering Effros–Winkler in the matrix setting and Helton–Klep–McCullough in the tracial setting, with the finite-dimensional case aligning via the Jamiołkowski correspondence. The results provide a complete dual characterization of $C^*$-convex subsets of $ ext{CP}(\mathscr{S},oldsymbol{\,oldsymbol{ ext{T}}})$ and extend classical bipolar theory to a morphism-level, noncommutative context.

Abstract

We establish a matrix bipolar theorem for families of completely positive maps between operator systems. Given operator systems $\mathscr{S}$ and $\mathscr{T}$, we introduce a canonical pairing between CP maps $Φ:\mathscr{S}\to \mathscr{T}$ and \emph{matrix tests} $(k,f,s)$, where $k\in\mathbb{N}$, $f$ is a state on $M_k(\mathscr{T})$, and $s\in M_k(\mathscr{S})$. This pairing induces a duality between subsets of $\CP(\mathscr{S},\mathscr{T})$ and collections of matrix tests through a \emph{saturated polar} construction that preserves $C^*$--convexity. Our main theorem identifies the double polar $(\mathcal K^{\circ_{C^*}})^{\circ_{C^*}}$ with the $τ$--closed $C^*$--convex hull of $\mathcal K$, where $τ$ is the locally convex topology generated by the test functionals. The result extends the classical matrix bipolar theorem of Effros--Winkler for matrix-convex sets (the case $\mathscr{T}=\mathbb{C}$) and the tracial bipolar theorem of Helton--Klep--McCullough (for tracial $\mathscr{T}$), while providing the first complete dual characterization of $C^*$--convex subsets of $\CP(\mathscr{S},\mathscr{T})$. In finite dimensions, the theorem corresponds, via the Jamiołkowski isomorphism, to the matrix bipolar theorem for cones of positive semidefinite matrices.

Matrix Duality and a Bipolar Theorem for Completely Positive Maps

TL;DR

The paper develops a matrix bipolar framework for completely positive maps between operator systems by pairing CP maps with matrix tests and introducing the saturated polar. It proves the main result , linking the -convex hull of a map family to a -closed polar; the topology is generated by functionals . This unifies matrix convex, -convex, and tracial dualities, recovering Effros–Winkler in the matrix setting and Helton–Klep–McCullough in the tracial setting, with the finite-dimensional case aligning via the Jamiołkowski correspondence. The results provide a complete dual characterization of -convex subsets of and extend classical bipolar theory to a morphism-level, noncommutative context.

Abstract

We establish a matrix bipolar theorem for families of completely positive maps between operator systems. Given operator systems and , we introduce a canonical pairing between CP maps and \emph{matrix tests} , where , is a state on , and . This pairing induces a duality between subsets of and collections of matrix tests through a \emph{saturated polar} construction that preserves --convexity. Our main theorem identifies the double polar with the --closed --convex hull of , where is the locally convex topology generated by the test functionals. The result extends the classical matrix bipolar theorem of Effros--Winkler for matrix-convex sets (the case ) and the tracial bipolar theorem of Helton--Klep--McCullough (for tracial ), while providing the first complete dual characterization of --convex subsets of . In finite dimensions, the theorem corresponds, via the Jamiołkowski isomorphism, to the matrix bipolar theorem for cones of positive semidefinite matrices.

Paper Structure

This paper contains 12 sections, 16 theorems, 60 equations.

Key Result

Lemma 3.1

Let $(k,f,s)$ be a matrix test and $\Phi,\Psi\in\mathrm{CP}(\mathscr{S},\mathscr{T})$. Then:

Theorems & Definitions (36)

  • Definition 2.1
  • Definition 2.2
  • Remark 2.3
  • Lemma 3.1
  • proof
  • Lemma 3.2
  • proof
  • Lemma 3.3
  • proof
  • Remark 3.4
  • ...and 26 more