Strong Convergence of Alternating Projections
Ítalo Dowell Lira Melo (),
João Xavier Cruz Neto () and
José Márcio Machado Brito ()
Additional contact information
Ítalo Dowell Lira Melo: Universidade Federal do Piauí
João Xavier Cruz Neto: Universidade Federal do Piauí
José Márcio Machado Brito: Universidade Federal do Piauí
Journal of Optimization Theory and Applications, 2022, vol. 194, issue 1, No 14, 306-324
Abstract:
Abstract In this paper, we provide a necessary and sufficient condition under which the method of alternating projections on Hadamard spaces converges strongly. This result is new even in the context of Hilbert spaces. In particular, we found the circumstance under which the iteration of a point by projections converges strongly and we answer partially the main question that motivated Bruck’s paper (J Math Anal Appl 88:319–322, 1982). We apply this condition to generalize Prager’s theorem for Hadamard manifolds and generalize Sakai’s theorem for a larger class of the sequences with full measure with respect to Bernoulli measure. In particular, we answer to a long-standing open problem concerning the convergence of the successive projection method (Aleyner and Reich in J Convex Anal 16:633–640, 2009). Furthermore, we study the method of alternating projections for a nested decreasing sequence of convex sets on Hadamard manifolds, and we obtain an alternative proof of the convergence of the proximal point method.
Keywords: Bernoulli measure; Hadamard space; Convex feasibility problem; Alternating projections; Quasi-normal sequence; Strong convergence; 28D05; 46N10; 47H09 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10957-022-02028-9 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:194:y:2022:i:1:d:10.1007_s10957-022-02028-9
Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2
DOI: 10.1007/s10957-022-02028-9
Access Statistics for this article
Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull
More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().