1975
DOI: 10.1007/978-3-642-66037-5
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Embeddings and Extensions in Analysis

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Cited by 193 publications
(121 citation statements)
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“…Since for p ∈ [1, 2] the metric space L p , x − y p/2 2 embeds isometrically into L 2 (see [42]), it follows that L p has Markov type p with constant 1. For p > 2 it was shown in [28] that L p has Markov type 2 with constants O √ p .…”
Section: Edge Markov Type Need Not Imply Enflo Typementioning
confidence: 99%
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“…Since for p ∈ [1, 2] the metric space L p , x − y p/2 2 embeds isometrically into L 2 (see [42]), it follows that L p has Markov type p with constant 1. For p > 2 it was shown in [28] that L p has Markov type 2 with constants O √ p .…”
Section: Edge Markov Type Need Not Imply Enflo Typementioning
confidence: 99%
“…Since the metric space L 1 , x − y 1 embeds isometrically into L 2 (see [42]), a positive solution to Question 7.5 would imply a positive solution to Question 7.3.…”
Section: Second Embedding Ofmentioning
confidence: 99%
“…Let us point out that if Ω satisfies a uniform cone property, as described above, then also 25) at least if the height of Γ is sufficiently small relative to r (appearing in (2.24)). Indeed, the existence of a point y ∈ (x 0 − R(Γ)) ∩ Ω would entail x 0 ∈ y + R(Γ).…”
Section: Definition 22mentioning
confidence: 99%
“…Indeed, Kirszbraun's Theorem asserts that any Lipschitz function defined on a subset of a metric space can be extended to a Lipschitz function on the entire space with the same Lipschitz constant (see, e.g., [25]; for a more elementary result which will, nonetheless, do in the current context see Theorem 5.1 on p. 29 in [23]). This shows that Ω is a strongly Lipschitz domain near x 0 , hence concluding the proof of the theorem.…”
Section: Definition 22mentioning
confidence: 99%
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