2021
DOI: 10.48550/arxiv.2104.03484
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Advances in Metric Ramsey Theory and its Applications

Yair Bartal

Abstract: Metric Ramsey theory is concerned with finding large well-structured subsets of more complex metric spaces. For finite metric spaces this problem was first studies by Bourgain, Figiel and Milman [21], and studied further in depth by Bartal et. al [10]. In this paper we provide deterministic constructions for this problem via a novel notion of metric Ramsey decomposition. This method yields several more applications, reflecting on some basic results in metric embedding theory.The applications include various re… Show more

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Cited by 4 publications
(7 citation statements)
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“…Clan embeddings were also studied for trees [FL21]. Clan embeddings are somewhat similar to the previously introduced multiembeddings [BM04,Bar21] in that each vertex is mapped to a subset of vertices. However, multiembeddings lack the notion of chief, which is crucial in all our applications.…”
Section: Related Workmentioning
confidence: 97%
“…Clan embeddings were also studied for trees [FL21]. Clan embeddings are somewhat similar to the previously introduced multiembeddings [BM04,Bar21] in that each vertex is mapped to a subset of vertices. However, multiembeddings lack the notion of chief, which is crucial in all our applications.…”
Section: Related Workmentioning
confidence: 97%
“…A key tool we use is Bartal's Ramsey decomposition lemma [3]. Since we will use it in slightly more general form than the original, we rephrase and reprove it here.…”
Section: Bartal's Ramsey Decomposition Lemmamentioning
confidence: 99%
“…The construction of the ultrametric skeleton here follows the construction in [11], which in turn uses Bartal's Ramsey decomposition lemma [3] as a key tool.…”
Section: Introductionmentioning
confidence: 99%
“…The idea of one-to-many embedding of graphs was originated by Bartal and Mendel [BM04], who for k ≥ 1 constructed embedding into ultrametric with O(n 1+ 1 k ) nodes and path distortion O(k⋅log n⋅ log log n) (see Definition 8, and ignore all hop constrains). The path distortion was later improved to O(k ⋅ log n) [FL21a,Bar21]. Recently, Haeupler et al [HHZ21a] studied approximate copy tree embedding which is essentially equivalent to one-to-many tree embeddings.…”
Section: Related Workmentioning
confidence: 99%