Non-Commutative Partial Matrix Convexity

dc.creatorHay, Damon M.
dc.creatorHelton, J. William
dc.creatorLim, Adrian
dc.creatorMcCullough, Scott
dc.date2008-04-03
dc.date.accessioned2026-07-07T09:30:24Z
dc.date.available2026-07-07T09:30:24Z
dc.descriptionLet $p$ be a polynomial in the non-commuting variables $(a,x)=(a_1,...,a_{g_a},x_1,...,x_{g_x})$. If $p$ is convex in the variables $x$, then $p$ has degree two in $x$ and moreover, $p$ has the form $p = L + Λ^T Λ,$ where $L$ has degree at most one in $x$ and $Λ$ is a (column) vector which is linear in $x,$ so that $Λ^TΛ$ is a both sum of squares and homogeneous of degree two. Of course the converse is true also. Further results involving various convexity hypotheses on the $x$ and $a$ variables separately are presented.
dc.description24 pages
dc.identifierhttps://arxiv.org/abs/0804.0633
dc.identifierhttp://arxiv.org/abs/0804.0633
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/158114
dc.subjectFunctional Analysis
dc.subjectOptimization and Control
dc.titleNon-Commutative Partial Matrix Convexity
dc.typetext

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