Ergodic theory for monotone Reich–Suzuki type nonexpansive operators

Abstract A recent study on nonexpansive monotone operators on partially ordered Banach spaces revealed that the sequence of Cesàro means converges to a fixed point, but also plays an instrumental role in the convergence analysis of the Picard successive approximations. Throughout this paper we provide a new iterative construction of Krasnoselskii type, as alternative to the ergodic iteration, that also supports the analysis of the Picard iterative sequence. Moreover, this study considers a wider class of monotone nonexpansive mappings, namely Reich–Suzuki type nonexpansive operators. Finally, a numerical simulation is provided by polynomiographic methods, so as to confirm the intuitive conclusions about the higher efficiency of the Picard iteration and the Krasnoselskii iteration compared to the ergodic procedure.

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Publication Details

Journal
Journal of Fixed Point Theory and Applications
Published
2025-02-12
DOI
https://doi.org/10.1007/s11784-025-01167-6
Citations
1
Primary Topic
Optimization and Variational Analysis
Type
article
Field-Weighted Citation Impact
1.50
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article

Ergodic theory for monotone Reich–Suzuki type nonexpansive operators

Mihai Postolache, Andreea Bejenaru
1 citations
Journal of Fixed Point Theory and Applications
Optimization and Variational Analysis
1.50
article

Ergodic theory for monotone Reich–Suzuki type nonexpansive operators

Mihai Postolache, Andreea Bejenaru
article en
1 citations

Abstract

Abstract A recent study on nonexpansive monotone operators on partially ordered Banach spaces revealed that the sequence of Cesàro means converges to a fixed point, but also plays an instrumental role in the convergence analysis of the Picard successive approximations. Throughout this paper we provide a new iterative construction of Krasnoselskii type, as alternative to the ergodic iteration, that also supports the analysis of the Picard iterative sequence. Moreover, this study considers a wider class of monotone nonexpansive mappings, namely Reich–Suzuki type nonexpansive operators. Finally, a numerical simulation is provided by polynomiographic methods, so as to confirm the intuitive conclusions about the higher efficiency of the Picard iteration and the Krasnoselskii iteration compared to the ergodic procedure.

Journal of Fixed Point Theory and ApplicationsVol. 27(1)
North Minzu University (CN), Institute of Mathematical Statistics (US), Romanian Academy (RO), Universitatea Națională de Știință și Tehnologie Politehnica București (RO)
Openalex Percentile: Top 20%
Optimization and Variational Analysis
1.50
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