2021
DOI: 10.48550/arxiv.2101.08707
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A submetric characterization of Rolewicz's property ($β$)

Abstract: The main result is a submetric characterization of the class of Banach spaces admitting an equivalent norm with Rolewicz's property (β). As applications we prove that up to renorming, property (β) is stable under coarse Lipschitz embeddings and coarse quotients.

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Cited by 2 publications
(3 citation statements)
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“…While writing this article, we learned from Sheng Zhang [Zha21] that he had discovered independently a metric characterization of the class < (β) > in terms of a submetric test-space in the sense of Ostrovskii [Ost14b]. A similar submetric test-space characterization can be extracted with some care from the work of Dilworth, Kutzarova, and Randrianarivony in [DKR16] and is also a direct consequence of our work (see Corollary 3 in Section 2).…”
Section: Introductionmentioning
confidence: 66%
See 1 more Smart Citation
“…While writing this article, we learned from Sheng Zhang [Zha21] that he had discovered independently a metric characterization of the class < (β) > in terms of a submetric test-space in the sense of Ostrovskii [Ost14b]. A similar submetric test-space characterization can be extracted with some care from the work of Dilworth, Kutzarova, and Randrianarivony in [DKR16] and is also a direct consequence of our work (see Corollary 3 in Section 2).…”
Section: Introductionmentioning
confidence: 66%
“…Corollary 7 below, which is an immediate consequence of the stability of umbel convexity under nonlinear quotients and Corollary 2, was proved for the first time in [DKR16, Theorem 2.0.1] (for uniform quotients) 3 using the delicate "fork argument" and in [Zha21] (for uniform or coarse quotients) using a more elementary self-improvement argument.…”
Section: Stability Under Nonlinear Quotientsmentioning
confidence: 99%
“…The doubling subsets are identical to the ones of Bartal-Gottlieb-Neiman and they are described in Section 2.1. The proof uses a self-improvement argument, which was first employed for metric embedding purposes by Johnson and Schechtman in [JS09], and subsequently in [Klo14], [BZ16], [BCD + 17], [Swi18], and [Zha21]; and is carried over in Section 2.2. Our proof has several advantages.…”
Section: Introductionmentioning
confidence: 99%