The Kaczmarz Algorithm in Hilbert <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e27" altimg="si3.svg"> <mml:msup> <mml:mrow> <mml:mi>C</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>∗</mml:mo> </mml:mrow> </mml:msup> </mml:

The Kaczmarz algorithm in Hilbert spaces is a classical iterative method for stably recovering vectors from inner product data. In this paper, we extend the algorithm to the setting of Hilbert C ∗ -modules and establish analogues of its effectiveness in both finite-dimensional and stationary cases. Consequently, we demonstrate that continuous families of elements in a Hilbert space can be uniformly recovered using the Kaczmarz algorithm. Additionally, we develop a normalized Cauchy transform for continuous families of measures and use it to provide sufficient conditions under which standard frames in Hilbert C ( X ) -modules can be generated by the Kaczmarz algorithm and realized as orbits of bounded operators.

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Publication Details

Journal
Expositiones Mathematicae
Published
2025-11-25
DOI
https://doi.org/10.1016/j.exmath.2025.125738
Primary Topic
Sparse and Compressive Sensing Techniques
Type
article
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article

The Kaczmarz Algorithm in Hilbert <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e27" altimg="si3.svg"> <mml:msup> <mml:mrow> <mml:mi>C</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>∗</mml:mo> </mml:mrow> </mml:msup> </mml:

Daniel Alpay, Eric Weber, Chad Berner
Expositiones Mathematicae
Sparse and Compressive Sensing Techniques
article

The Kaczmarz Algorithm in Hilbert <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e27" altimg="si3.svg"> <mml:msup> <mml:mrow> <mml:mi>C</mml:mi> </mml:mrow> <mml:mrow> <mml:mo>∗</mml:mo> </mml:mrow> </mml:msup> </mml:

Daniel Alpay, Eric Weber, Chad Berner
article en

Abstract

The Kaczmarz algorithm in Hilbert spaces is a classical iterative method for stably recovering vectors from inner product data. In this paper, we extend the algorithm to the setting of Hilbert C ∗ -modules and establish analogues of its effectiveness in both finite-dimensional and stationary cases. Consequently, we demonstrate that continuous families of elements in a Hilbert space can be uniformly recovered using the Kaczmarz algorithm. Additionally, we develop a normalized Cauchy transform for continuous families of measures and use it to provide sufficient conditions under which standard frames in Hilbert C ( X ) -modules can be generated by the Kaczmarz algorithm and realized as orbits of bounded operators.

Expositiones MathematicaeVol. 44(2)
Iowa State University (US), Chapman University (US), Missouri University of Science and Technology (US)
Openalex Percentile: Top 63%
Sparse and Compressive Sensing Techniques
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