The Matricial Univariate Rational Truncated Moment Problem
Abstract
We solve the matricial univariate rational truncated moment problem on the real line and on a half-line. We give explicit necessary and sufficient conditions for the existence of a positive matrix-valued representing measure and show that every solvable problem admits a finitely atomic representing measure whose total atomic multiplicity equals the rank of the associated moment matrix. The rational problem is reduced to an ordinary matricial moment problem with the additional requirement that the representing measure avoid the real poles of the rational data. The main new ingredient is a simultaneous prescribed-node result: the smallest attainable multiplicities at finitely many prescribed points can be realized by a single minimal representing measure. Our proofs are constructive and use flat extensions, block-column relations, and localizing conditions.
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BibTeX
@misc{zalar2026matricial,
title = {{The Matricial Univariate Rational Truncated Moment Problem}},
author = {Alja\v z Zalar and Igor Zobovi\v c},
howpublished = {arXiv},
year = {2026},
month = aug,
doi = {10.48550/arxiv.2608.28227},
eprint = {2608.28227},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2608.28227},
}
RIS
TY - UNPB
TI - The Matricial Univariate Rational Truncated Moment Problem
AU - Alja\v z Zalar
AU - Igor Zobovi\v c
PY - 2026
DA - 2026/08/28
PB - arXiv
DO - 10.48550/arxiv.2608.28227
UR - https://arxiv.org/abs/2608.28227
AB - We solve the matricial univariate rational truncated moment problem on the real line and on a half-line. We give explicit necessary and sufficient conditions for the existence of a positive matrix-valued representing measure and show that every solvable problem admits a finitely atomic representing measure whose total atomic multiplicity equals the rank of the associated moment matrix. The rational problem is reduced to an ordinary matricial moment problem with the additional requirement that the representing measure avoid the real poles of the rational data. The main new ingredient is a simultaneous prescribed-node result: the smallest attainable multiplicities at finitely many prescribed points can be realized by a single minimal representing measure. Our proofs are constructive and use flat extensions, block-column relations, and localizing conditions.
ER -