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.
Authors
- Daniel Alpay (ORCID: https://orcid.org/0000-0002-7612-3598)
- Eric Weber (ORCID: https://orcid.org/0000-0002-9153-8089)
- Chad Berner
Institutions
- Iowa State University (US)
- Chapman University (US)
- Missouri University of Science and Technology (US)
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
- Field-Weighted Citation Impact
- 0.00