English

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 {xi}i=1m\{x_{i}\}_{i=1}^{m} in Rn\mathbb{R}^n are not dense in the family of mm-element sets of vectors in Rn\mathbb{R}^n for all m2n2m\ge 2n-2; (2) We show that any frame {xi}i=12n2\{x_i\}_{i=1}^{2n-2} containing one or more canonical basis vectors in Rn\mathbb{R}^n 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

R2 v1 2026-06-28T08:07:48.871Z