
doi: 10.1007/bf01278473
A subset \(S\) of a metric space \((X,d)\) is called \(d\)-convex if for every pair of points \(x, y \in S\) all the points between \(x\) and \(y\) belong to \(S\). Let \({\mathfrak C}_ d\) be the family of all \(d\)-convex subsets of \((X,d)\). Then \((X, {\mathfrak C}_ d)\) is a convexity structure (Prop. 1), i.e., \(\emptyset \in {\mathfrak C}_ d\) and \({\mathfrak C}_ d\) is closed under intersection of any subfamily. The paper concerns two kinds of embeddings: isometric and convex (i.e. convexity preserving) embeddings. In particular, it concerns embeddability of (finite) metric spaces into \(\mathbb{R}^ n\) with either Euclidean metric \(d_ e\) or ``max'' metric \(d_ m\), or into the so called Hamming space \((\{0, 1\}^ n,h)\) with \(h(x,y) = \sum | x_ i - y_ i |\). The paper contains many interesting open problems and a number of results.
Axiomatic and generalized convexity, metric space, finite space, convexity structure, \(d\)-convex set, Distance geometry, isometric embedding, Embedding, convex embedding
Axiomatic and generalized convexity, metric space, finite space, convexity structure, \(d\)-convex set, Distance geometry, isometric embedding, Embedding, convex embedding
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
