English

A max filtering local stability theorem with application to weighted phase retrieval and cryo-EM

Functional Analysis 2025-10-15 v3 Information Theory math.IT

Abstract

Given an inner product space VV and a group GG of linear isometries, max filtering offers a rich class of convex GG-invariant maps. In this paper, we identify sufficient conditions under which these maps are locally bilipschitz on R(G)R(G), the set of orbits with maximal dimension, with respect to the quotient metric on the orbit space V/GV/G. Central to our proof is a desingularization theorem, which applies to open, dense neighborhoods around each orbit in R(G)/GR(G)/G and may be of independent interest. As an application, we provide guarantees for stable weighted phase retrieval. That is, we construct componentwise convex bilipschitz embeddings of weighted complex (resp.\ quaternionic) projective spaces. These spaces arise as quotients of direct sums of nontrivial unitary irreducible complex (resp.\ quaternionic) representations of the group of unit complex numbers S1SO(2)S^1\cong \operatorname{SO}(2) (resp.\ unit quaternions S3SU(2)S^3\cong \operatorname{SU}(2)). We also discuss the relevance of such embeddings to a nearest-neighbor problem in single-particle cryogenic electron microscopy (cryo-EM), a leading technique for resolving the spatial structure of biological molecules.

Keywords

Cite

@article{arxiv.2403.14042,
  title  = {A max filtering local stability theorem with application to weighted phase retrieval and cryo-EM},
  author = {Yousef Qaddura},
  journal= {arXiv preprint arXiv:2403.14042},
  year   = {2025}
}
R2 v1 2026-06-28T15:28:06.299Z