Positive Functionals and Hessenberg Matrices
J.-B Lasserre (LAAS-MAC, IMT), Mihai Putinar

TL;DR
This paper explores conditions under which positive functionals on bivariate polynomials can be represented by positive measures, using matrix analysis techniques involving Hessenberg matrices and harmonic polynomials.
Contribution
It introduces new criteria involving harmonic polynomials and defect indicators to characterize when positive functionals admit measure representations, with constructive cubature formulas.
Findings
Criteria involving harmonic polynomials for measure representation
Use of Hessenberg matrices in constructing cubature formulas
Conditions for positive functionals to be represented by positive measures
Abstract
Not every positive functional defined on bi-variate polynomials of a prescribed degree bound is represented by the integration against a positive measure. We isolate a couple of conditions filling this gap, either by restricting the class of polynomials to harmonic ones, or imposing the vanishing of a defect indicator. Both criteria offer constructive cubature formulas and they are obtained via well known matrix analysis techniques involving either the dilation of a contractive matrix to a unitary one or the specific structure of the Hessenberg matrix associated to the multiplier by the underlying complex variable.
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Taxonomy
TopicsMatrix Theory and Algorithms · Holomorphic and Operator Theory · Mathematical functions and polynomials
