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June 7, 2026Mathematical Programming0 citationsOpen Access

Characterization of regularity via variational stability of alternating projection sequences

FBF. BattistoniADA. DaniilidisCBC. A. De Bernardi

Key Points

  • The aim is to characterize the relationship between regularity of convex pairs and the convergence of alternating projection sequences.
  • Analytical exploration of the properties of regular pairs in convex sets
  • Examination of variational perturbations in the context of the alternating projection method
  • Verification of convergence criteria without bounded best approximation sets.
  • Proved the converse of regularity ensures convergence for any variational perturbation.
  • Demonstrated that convergence is maintained even when best approximation sets are not bounded.

Abstract

Abstract The notion of regular pair (A, B) for two nonempty closed convex subsets A and B of a Hilbert space H H was introduced by Borwein and Bauschke in 1993 to ensure convergence (in norm) of the alternating projection method to some point of the best approximation set. In 2022, De Bernardi and Miglierina showed that regularity of the pair (A, B) guarantees, additionally, the convergence for any variational perturbation of the alternating projection method, provided the corresponding best approximation sets are bounded. In this work, we show that the converse assertion is also true. Moreover, this converse assertion holds without requiring the best approximation sets to be bounded.

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Cite This Study

Battistoni et al. (2026) studied this question.

synapsesocial.com/papers/6a250c027def13d035e1bf98https://doi.org/10.1007/s10107-026-02374-w
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