Necessary conditions for linear convergence of iterated expansive, set-valued mappings

We present necessary conditions for monotonicity of fixed point iterations of mappings that may violate the usual nonexpansive property. Notions of linear-type monotonicity of fixed point sequences—weaker than Fejér monotonicity—are shown to imply metric subregularity . This, together with the almos...

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Published inMathematical programming Vol. 180; no. 1-2; pp. 1 - 31
Main Authors Luke, D. Russell, Teboulle, Marc, Thao, Nguyen H.
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020
Springer Nature B.V
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ISSN0025-5610
1436-4646
1436-4646
DOI10.1007/s10107-018-1343-8

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Summary:We present necessary conditions for monotonicity of fixed point iterations of mappings that may violate the usual nonexpansive property. Notions of linear-type monotonicity of fixed point sequences—weaker than Fejér monotonicity—are shown to imply metric subregularity . This, together with the almost averaging property recently introduced by Luke et al. (Math Oper Res, 2018 . https://doi.org/10.1287/moor.2017.0898 ), guarantees linear convergence of the sequence to a fixed point. We specialize these results to the alternating projections iteration where the metric subregularity property takes on a distinct geometric characterization of sets at points of intersection called subtransversality . Subtransversality is shown to be necessary for linear convergence of alternating projections for consistent feasibility.
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ISSN:0025-5610
1436-4646
1436-4646
DOI:10.1007/s10107-018-1343-8