Perturbation-resilient inertial Krasnosel'skii-type hybrid retractions for generalized nonexpansive mappings

Fuente: arXiv
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Autor principal: Uba, Markjoe O.
Formato: Preprint
Publicado: 2026
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author Uba, Markjoe O.
author_facet Uba, Markjoe O.
contents Let $E$ be a uniformly smooth and uniformly convex real Banach space. We study perturbation-resilient inertial Krasnosel'skii-type hybrid retraction schemes for a countable family of generalized nonexpansive mappings satisfying the NST-condition with a family $Γ$. The main result shows that strong convergence is preserved when the exact $ϕ$-Fejér decrease condition is replaced by a summably perturbed version. Under suitable structural assumptions on the generated shrinking sets, we prove that the resulting sequence converges strongly to the sunny generalized nonexpansive retraction $R_{F(Γ)}v_0$. This provides a stability refinement of existing error-free hybrid retraction methods and gives a framework for treating computational inaccuracies such as approximate projections and inexact operator evaluations. We also discuss a Bregman--Fejér interpretation of the method and formulate a Bregman--projection analogue under the additional structural assumptions required in the general Bregman setting.
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institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Perturbation-resilient inertial Krasnosel'skii-type hybrid retractions for generalized nonexpansive mappings
Uba, Markjoe O.
Functional Analysis
47H09, 47H10, 47J25
Let $E$ be a uniformly smooth and uniformly convex real Banach space. We study perturbation-resilient inertial Krasnosel'skii-type hybrid retraction schemes for a countable family of generalized nonexpansive mappings satisfying the NST-condition with a family $Γ$. The main result shows that strong convergence is preserved when the exact $ϕ$-Fejér decrease condition is replaced by a summably perturbed version. Under suitable structural assumptions on the generated shrinking sets, we prove that the resulting sequence converges strongly to the sunny generalized nonexpansive retraction $R_{F(Γ)}v_0$. This provides a stability refinement of existing error-free hybrid retraction methods and gives a framework for treating computational inaccuracies such as approximate projections and inexact operator evaluations. We also discuss a Bregman--Fejér interpretation of the method and formulate a Bregman--projection analogue under the additional structural assumptions required in the general Bregman setting.
title Perturbation-resilient inertial Krasnosel'skii-type hybrid retractions for generalized nonexpansive mappings
topic Functional Analysis
47H09, 47H10, 47J25
url https://arxiv.org/abs/2606.00528