Classifying weak phase retrieval
Functional Analysis
2023-01-25 v2
Abstract
We will give several surprising equivalences and consequences of weak phase retrieval. These results give a complete understanding of the difference between weak phase retrieval and phase retrieval. We also answer two longstanding open problems on weak phase retrieval: (1) We show that the families of weak phase retrievable frames in are not dense in the family of -element sets of vectors in for all ; (2) We show that any frame containing one or more canonical basis vectors in cannot do weak phase retrieval. We provide numerous examples to show that the obtained results are best possible.
Keywords
Cite
@article{arxiv.2301.03520,
title = {Classifying weak phase retrieval},
author = {P. G. Casazza and F. Akrami},
journal= {arXiv preprint arXiv:2301.03520},
year = {2023}
}
Comments
arXiv admin note: substantial text overlap with arXiv:2110.06868