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Ramsey Property and Block Oscillation Stability on Normalized Sequences in Banach Spaces

Published 7 Sep 2020 in math.FA and math.CO | (2009.03247v1)

Abstract: A well-known application of the Ramsey Theorem in the Banach Space Theory is the proof of the fact that every normalized basic sequence has a subsequence which generates a spreading model (the Brunel-Sucheston Theorem). Based on this application, as an intermediate step, we can talk about the notion of $(k,\varepsilon)-$oscillation stable sequence, which will be described and analyzed more generally in this article. Indeed, we introduce the notion $((\mathcal{B}i){i=1}k,\varepsilon)-$block oscillation stable sequence where $(\mathcal{B}i){i=1}k$ is a finite sequence of barriers and using what we will call blocks of barriers. In particular, we prove that the Ramsey Theorem is equivalent to the statement ``for every finite sequence $(\mathcal{B}i){i=1}k$ of barriers, every $\varepsilon>0$ and every normalized sequence $(x_i){i\in\mathbb{N}}$ there is a subsequence $(x_i){i\in M}$ that is $((\mathcal{B}i\cap\mathcal{P}(M)){i=1}k,\varepsilon)-$block oscillation stable'', where $\mathcal{P}(M)$ is the power set of the infinite set M. Besides, we introduce the $(\mathcal{B}i){i\in\mathbb{N}}-$block asymptotic model of a normalized basic sequence where $(\mathcal{B}i){i\in\mathbb{N}}$ is a sequence of barriers. These models are a generalization of the spreading models and are related to the $((\mathcal{B}i){i=1}k,\varepsilon)-$block oscillation stable sequences. We show that the Brunel-Sucheston is satisfied for the $(\mathcal{B}i){i\in\mathbb{N}}-$block asymptotic models, and we also prove that this result is equivalent to the Ramsey Theorem. The difference between our theorem and the Brunel-Sucheston Theorem is based on the number of different models that are obtained from the same normalized basic sequence through them. This and other observations about $(\mathcal{B}i){i\in\mathbb{N}}-$block asymptotic models are noted in an example at the end of the article.

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