Skip to content
DraconiticResearch
Search Sources API
181,713 studies31 sourcesUpdated 45 min ago
PreprintarXiv licencearXiv

Recovery Theory for Projected Power Iterations in Permutation Synchronization

Abstract

We study the projected power method (PPM) for synchronizing n unknown permutations of m objects under a possibly sparse uniform corruption model. Each pair is observed with probability p, and an observed measurement is uncorrupted with probability π0 and is otherwise an independent uniform permutation. Under log m=o(npπ02), we prove exact one-step recovery (with high probability) of each prescribed block for an independent estimate with a fixed positive majority of correct blocks. When np≥ C0log n and m=o(npπ02), we prove that one high-probability event yields a block-error contraction simultaneously for every estimate whose optimally aligned error is at most 0.5−ε. The contraction factor is O(m/(npπ02)) and the error floor is O(e−cnpπ0+e−cnpπ02+log n/n). Consequently, one update maps every possibly data-dependent estimate in this basin to vanishing block error, and all subsequent iterates remain almost exact uniformly over the iteration index. The one-step and trajectory results extend to independent, non-identically distributed, permutation-valued corruptions with mean m−1 11⊤. Under the uniform model, a reference-block spectral initializer has aligned block error Oℙ(m/(npπ02)), yielding an end-to-end almost-exact recovery guarantee. Under a stronger all-block signal condition, PPM reaches exact recovery after finitely many iterations. The theory transfers exactly to partial permutations with common support; for varying supports, we establish deterministic and probabilistic co-visibility margins.

Related

  1. Palm Disintegration and Height-Profile Recovery for Projected Hardy--Szegő Zeros
    Feng Guo
    arXivPreprintarXiv licenceFull textProbabilityarXiv
  2. Singleton-Optimal Rank-Metric CSS Codes : Equality Structure and Exact Projected-Recovery Radii
    Myeongjun Kim, Suseong Lee, Jaeho Jeon +1
    arXivPreprintarXiv licenceFull textGeneral mathematicsarXiv
  3. Projected Yang-Mills Theory and the MacDowell-Mansouri Analogy
    Pedro D. Alvarez
    arXivPreprintCC BY 4.0Full textMathematical physicsHigh-energy & particle physicsarXiv
  4. Visitation measures for non-linear iterations with random perturbations
    Andrey A. Dorogovtsev, Iryna Nishchenko
    arXivPreprintCC BY 4.0Full textProbabilityarXiv
  5. Component-wise accurate fixed point iterations for computing the square root of a singular M-matrix
    Dario Andrea Bini, Bruno Iannazzo, Beatrice Meini +1
    arXivPreprintarXiv licenceFull textNumerical analysis & scientific computingarXiv
BibTeX
@misc{huroyan2026recovery,
  title = {{Recovery Theory for Projected Power Iterations in Permutation Synchronization}},
  author = {Vahan Huroyan and Gilad Lerman},
  howpublished = {arXiv},
  year = {2026},
  month = sep,
  doi = {10.48550/arxiv.2609.09502},
  eprint = {2609.09502},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2609.09502},
}
RIS
TY  - UNPB
TI  - Recovery Theory for Projected Power Iterations in Permutation Synchronization
AU  - Vahan Huroyan
AU  - Gilad Lerman
PY  - 2026
DA  - 2026/09/08
PB  - arXiv
DO  - 10.48550/arxiv.2609.09502
UR  - https://arxiv.org/abs/2609.09502
AB  - We study the projected power method (PPM) for synchronizing n unknown permutations of m objects under a possibly sparse uniform corruption model. Each pair is observed with probability p, and an observed measurement is uncorrupted with probability π_0 and is otherwise an independent uniform permutation. Under log m=o(npπ_0^2), we prove exact one-step recovery (with high probability) of each prescribed block for an independent estimate with a fixed positive majority of correct blocks. When np≥ C_0log n and m=o(npπ_0^2), we prove that one high-probability event yields a block-error contraction simultaneously for every estimate whose optimally aligned error is at most 0.5−ε. The contraction factor is O(m/(npπ_0^2)) and the error floor is O(e^−cnpπ_0+e^−cnpπ_0^2+log n/n). Consequently, one update maps every possibly data-dependent estimate in this basin to vanishing block error, and all subsequent iterates remain almost exact uniformly over the iteration index. The one-step and trajectory results extend to independent, non-identically distributed, permutation-valued corruptions with mean m^−1 11^⊤. Under the uniform model, a reference-block spectral initializer has aligned block error O_ℙ(m/(npπ_0^2)), yielding an end-to-end almost-exact recovery guarantee. Under a stronger all-block signal condition, PPM reaches exact recovery after finitely many iterations. The theory transfers exactly to partial permutations with common support; for varying supports, we establish deterministic and probabilistic co-visibility margins.
ER  -