Geometric Characteristics in Phaseless Operator and Structured Matrix Recovery
<|reference_start|>Geometric Characteristics in Phaseless Operator and Structured Matrix Recovery: In this paper, we first propose a unified approach for analyzing the stability of the phaseless operator for both amplitude and intensity measurement on an arbitrary geometric set, thus characterizing the robust performance of phase retrieval via the empirical minimization method. We introduce the random embedding of concave lifting operators in tangent space to characterize the unified analysis of any geometric set. Similarly, we investigate the structured matrix recovery problem through the robust injectivity of a linear rank one measurement operator on an arbitrary matrix set. The core of our analysis is to establish a unified empirical chaos process characterization for various matrix sets. Talagrand's $\gamma_{\alpha}$-functionals are introduced to characterize the connection between the geometric constraints and the number of measurements needed to guarantee stability or robust injectivity. Finally, we construct adversarial noise to demonstrate the sharpness of the recovery bounds in the above two scenarios.<|reference_end|>
@article{huang2024geometric,
    title={Geometric Characteristics in Phaseless Operator and Structured Matrix
  Recovery},
    author={Gao Huang and Song Li},
    journal={arXiv preprint arXiv:2404.17946},
    year={2024},
    archivePrefix={arXiv},
    eprint={2404.17946},
    primaryClass={cs.IT math.IT}
}