POLYNOMIAL APPROXIMATION ON UNBOUNDED SUBSETSAND THE MOMENT PROBLEM

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Published: 2015-02-18

Page: 94-100


OCTAV OLTEANU *

Department of Mathematics, Informatics, Politehnica University of Bucharest, Romania

*Author to whom correspondence should be addressed.


Abstract

In the first part of this work, one proves a Markov moment problem involving L1 - norm in a strip. To this end, polynomial approximation on unbounded subsets and Hahn - Banach principle are applied. One uses approximation by sums of tensor products of positive polynomials in each separate variable. This way, one solves the difficulty created by the fact that there are positive polynomials, which are not writable as sums of squares in several dimensions. Consequently, we can solve the multidimensional moment problem in terms of
quadratic mappings. We also discuss Markov moment problems in concrete spaces. These last results represent interpolation problems with two constraints. Here the main ingredients of the proofs are constrained extension theorems for linear operators.

Keywords: Approximation, extension of linear operators, constraints, moment problem


How to Cite

OLTEANU, OCTAV. 2015. “POLYNOMIAL APPROXIMATION ON UNBOUNDED SUBSETSAND THE MOMENT PROBLEM”. Journal of Basic and Applied Research International 4 (3):94-100. https://ikprress.org/index.php/JOBARI/article/view/2265.

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