2012
DOI: 10.1515/crelle-2012-0065
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Property A and the operator norm localization property for discrete metric spaces

Abstract: Abstract. We study property A defined by G. Yu and the operator norm localization property defined by X. Chen, R. Tessera, X. Wang, and G. Yu. These are coarse geometric properties for metric spaces, which have applications to operator K-theory. It is proved that the two properties are equivalent for discrete metric spaces with bounded geometry.

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Cited by 60 publications
(47 citation statements)
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“…So, Ψ is a compact preserving strongly continuous linear map, hence, by Proposition 3.3, Ψ is coarse-like. Since X has property A, X has the operator norm localization [21,Theorem 4.1], so [4,Lemma 7.2] gives r > 0 such that for all A ⊆ X and all B ⊆ Y with…”
Section: Embeddings Onto Hereditary Subalgebrasmentioning
confidence: 99%
“…So, Ψ is a compact preserving strongly continuous linear map, hence, by Proposition 3.3, Ψ is coarse-like. Since X has property A, X has the operator norm localization [21,Theorem 4.1], so [4,Lemma 7.2] gives r > 0 such that for all A ⊆ X and all B ⊆ Y with…”
Section: Embeddings Onto Hereditary Subalgebrasmentioning
confidence: 99%
“…This localizability of the operator norm is no longer a property of a particular operator but rather of the space X. There is recent work by X. Chen, R. Tessera, X. Wang, G. Yu and H. Sako (see [32] and references therein) on metric spaces M with a certain measure such that X = l 2 (M ) has the operator norm localization property (ONL). Sako proves in [32] that in case of a discrete metric space M with sup m∈M |{n ∈ M : d(m, n) ≤ R}| < ∞ for all radii R > 0 (which clearly holds in our case, M = Z N ), property (ONL) is equivalent to the so-called Property A that was introduced by G. Yu and is connected with amenability.…”
Section: P-essential Norm Of Band-dominated Operatorsmentioning
confidence: 99%
“…Proposition 7.6 fails for any space X that does not have the metric sparsification property. By [19] (see also [3]), this is equivalent to not having the operator norm localisation property, and so [18,Lemma 4.2] provides us with r ą 0, κ ă 1, a sequence of disjoint finite subsets X n of X, a sequence of positive, norm one operators A n P Lpℓ 2 X n q with propagation at most r and an increasing sequence of positive reals s n tending to infinity, such that for any v P ℓ 2 X n of norm one, with support of diameter at most s n , one has }A n v} ď κ. Furthermore, it is argued in [18, Proof of Theorem 1.3] that there are eigenvectors of A n with eigenvalue 1.…”
Section: Consequently We Getmentioning
confidence: 99%
“…The gist of the property is that one can choose big sets (in a given measure) that split into well separated uniformly bounded sets. It does not seem to be obvious that the metric sparsification property is equivalent to property A: this follows on combining results from [3] and [19].…”
Section: Metric Sparsification and Uniform Boundednessmentioning
confidence: 99%
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