Strong convergence of an iterative method for non-expansive mappings
✍ Scribed by Yisheng Song; Rudong Chen
- Publisher
- John Wiley and Sons
- Year
- 2008
- Tongue
- English
- Weight
- 142 KB
- Volume
- 281
- Category
- Article
- ISSN
- 0025-584X
No coin nor oath required. For personal study only.
✦ Synopsis
Abstract
Let E be a real reflexive Banach space having a weakly continuous duality mapping J~φ~ with a gauge function φ, and let K be a nonempty closed convex subset of E. Suppose that T is a non‐expansive mapping from K into itself such that F (T) ≠ ∅︁. For an arbitrary initial value x~0~ ∈ K and fixed anchor u ∈ K, define iteratively a sequence {x~n~ } as follows:
x~n +1~ = α~n~ u + β~n~ x~n~ + γ~n~ Tx~n~ , n ≥ 0,
where {α~n~ }, {β~n~ }, {γ~n~ } ⊂ (0, 1) satisfies α~n~ +β~n~ + γ~n~ = 1, (C 1) lim~n →∞~ α~n~ = 0, (C 2) ∑^∞^~n =1~ α~n~ = ∞ and (B) 0 < lim inf~n →∞~ β~n~ ≤ lim sup~n →∞~ β~n~ < 1. We prove that {x~n~ } converges strongly to Pu as n → ∞, where P is the unique sunny non‐expansive retraction of K onto F (T). We also prove that the same conclusions still hold in a uniformly convex Banach space with a uniformly Gâteaux differentiable norm or in a uniformly smooth Banach space. Our results extend and improve the corresponding ones by C. E. Chidume and C. O. Chidume [Iterative approximation of fixed points of non‐expansive mappings, J. Math. Anal. Appl. 318, 288–295 (2006)], and develop and complement Theorem 1 of T. H. Kim and H. K. Xu [Strong convergence of modified Mann iterations, Nonlinear Anal. 61, 51–60 (2005)]. (© 2008 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)
📜 SIMILAR VOLUMES
An aggregation/disaggregation iterative algorithm for computing stationary probability vectors of stochastic matrices is analysed. Two convergence results are presented. First, it is shown that fast, global convergence can be achieved provided that a sufficiently high number of relaxations is perfor