Math 2.0

Geometry Definition

Distance geometry

Builds on GraphEuclidean distance

Definition

Let G=(V,E)G = (V, E) be a finite graph, let δ ⁣:E→[0,∞)\delta \colon E \to [0, \infty) be a weight on its edges, and let k≥1k \ge 1 be an integer. A realization of (G,δ)(G, \delta) in ℝk\R^k is a map p ⁣:V→ℝkp \colon V \to \R^k such that ∥p(u)−p(v)∥=δ(uv)for every edge uv∈E.\norm{p(u) - p(v)} = \delta(uv) \quad \text{for every edge } uv \in E. Here ∥p(u)−p(v)∥\norm{p(u) - p(v)} is the Euclidean distance of the two points. The distance geometry problem asks, for given (G,δ)(G, \delta) and kk, whether a realization in ℝk\R^k exists, and to find one. Distance geometry is the study of such realizations and of the point sets they describe.

Remarks

Example: let GG be a triangle with edge weights 33, 44 and 55, and k=2k = 2. The points (0,0)(0, 0), (3,0)(3, 0) and (3,4)(3, 4) form a realization, since their pairwise distances are 33, 44 and 55.

Non-example: the same triangle with weights 11, 11 and 33 has no realization in any ℝk\R^k, since 3>1+13 > 1 + 1.

When GG is a complete graph, a realization exists in some ℝk\R^k if and only if the squared weights form a Euclidean distance matrix. A realization is never unique: an isometry of ℝk\R^k moves it to another one.

Reading path

To understand this page from the ground up, read these 5 pages in order. The foundations come first.

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Each page uses the pages above it. The colour of the bar on a box shows how strong the evidence is, and the box also gives it as text. The list has the same pages.
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  1. Euclidean space object
  2. Graph definition
  3. Length of a vector concept
  4. Euclidean distance definition
  5. Distance geometry definition

Further reading

  1. Web https://en.wikipedia.org/wiki/Distance_geometry
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Kinddefinition
WritingW0 stub
MSC51K05, 51K99
DefinesDistance geometry
UsesGraph, Euclidean distance

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