2010
DOI: 10.4064/sm201-1-2
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Geometric, spectral and asymptotic properties of averaged products of projections in Banach spaces

Abstract: Abstract. According to the von Neumann-Halperin and Lapidus theorems, in a Hilbert space the iterates of products or, respectively, of convex combinations of orthoprojections are strongly convergent. We extend these results to the iterates of convex combinations of products of some projections in a complex Banach space. The latter is assumed uniformly convex or uniformly smooth for the orthoprojections, or reflexive for more special projections, in particular, for the hermitian ones. In all cases the proof of … Show more

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Cited by 15 publications
(17 citation statements)
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“…The strong limit T ∞ is a projection of norm one onto the intersection of the ranges of P j . The same result holds [3] if X is uniformly smooth and each projection P j is of norm one. It also holds The first two named authors have been partially supported by ANR Projet Blanc DYNOP.…”
Section: Introductionsupporting
confidence: 57%
“…The strong limit T ∞ is a projection of norm one onto the intersection of the ranges of P j . The same result holds [3] if X is uniformly smooth and each projection P j is of norm one. It also holds The first two named authors have been partially supported by ANR Projet Blanc DYNOP.…”
Section: Introductionsupporting
confidence: 57%
“…The strong limit T ∞ is a projection of norm one onto the intersection of the ranges of P j . The same result is valid [3] if X is uniformly smooth and each projection P j is of norm one. It is also 2010 Mathematics Subject Classification.…”
supporting
confidence: 57%
“…Applications to products of projections of norm one are given. In particular, the dichotomy (QUC)/(ASC) holds, with several versions of (ASC), for the cases covered by the theorems of von Neumann, Halperin, Bruck-Reich, and those of [3].…”
Section: Theorem 12 (Seementioning
confidence: 99%
“…This condition was introduced by I. Halperin in [11]; we refer the reader to [2] and the references therein for more information. In particular, a product of orthogonal projections satisfies (6.1).…”
Section: Examples and Counterexamplesmentioning
confidence: 99%