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Coarse structure

Concept in geometry and topology

In the mathematical fields of geometry and topology, a coarse structure on a set X is a collection of subsets of the cartesian product X × X with certain properties which allow the large-scale structure of metric spaces and topological spaces to be defined.

The concern of traditional geometry and topology is with the small-scale structure of the space: properties such as the continuity of a function depend on whether the inverse images of small open sets, or neighborhoods, are themselves open. Large-scale properties of a space, such as boundedness, or the degrees of freedom of the space, do not depend on such features. Coarse geometry and coarse topology provide tools for measuring the large-scale properties of a space, and just as a metric or a topology contains information on the small-scale structure of a space, a coarse structure contains information on its large-scale properties.

Properly, a coarse structure is not the large-scale analog of a topological structure, but of a uniform structure.

01Definition

A coarse structure on a set X is a collection \mathbf {E} of subsets of X\times X (therefore falling under the more general categorization of binary relations on X) called controlled sets, and so that \mathbf {E} possesses the identity relation, is closed under taking subsets, inverses, and finite unions, and is closed under composition of relations. Explicitly:

  1. Identity/diagonal:
    The diagonal \Delta =\{(x,x):x\in X\} is a member of \mathbf {E}, the identity relation.
  2. Closed under taking subsets:
    If E\in \mathbf {E} and F\subseteq E, then F\in \mathbf {E} .
  3. Closed under taking inverses:
    If E\in \mathbf {E} then the inverse (or transpose) E^{-1}=\{(y,x):(x,y)\in E\} is a member of \mathbf {E}, the inverse relation.
  4. Closed under taking unions:
    If E,F\in \mathbf {E} then their union E\cup F is a member of\mathbf {E} .
  5. Closed under composition:
    If E,F\in \mathbf {E} then their product E\circ F=\{(x,y):{\text{ there exists }}z\in X{\text{ such that }}(x,z)\in E{\text{ and }}(z,y)\in F\} is a member of \mathbf {E}, the composition of relations.

A set X endowed with a coarse structure \mathbf {E} is a coarse space.

Let E\in \mathbf {E} a controlled set. For a subset K of X, the set E[K] is defined as \{x\in X:(x,k)\in E{\text{ for some }}k\in K\}. We define the section of E by x to be the set E[\{x\}], also denoted E_{x}. The symbol E^{y} denotes the set E^{-1}[\{y\}]. These are forms of projections.

A subset B of X is said to be a bounded set if B\times B is a controlled set.

Intuition

The controlled sets are "small" sets, or "negligible sets": a set A such that A\times A is controlled is negligible, while a function f:X\to X such that its graph is controlled is "close" to the identity. In the bounded coarse structure, these sets are the bounded sets, and the functions are the ones that are a finite distance from the identity in the uniform metric.

02Coarse maps

Given a set S and a coarse structure X, we say that the maps f:S\to X and g:S\to X are close if \{(f(s),g(s)):s\in S\} is a controlled set.

For coarse structures X and Y, we say that f:X\to Y is a coarse map if for each bounded set B of Y the set f^{-1}(B) is bounded in X and for each controlled set E of X the set (f\times f)(E) is controlled in Y. X and Y are said to be coarsely equivalent if there exists coarse maps f:X\to Y and g:Y\to X such that f\circ g is close to \operatorname {id} _{Y} and g\circ f is close to \operatorname {id} _{X}.

03Examples

  • The bounded coarse structure on a metric space (X,d) is the collection \mathbf {E} of all subsets E of X\times X such that \sup _{(x,y)\in E}d(x,y) is finite. With this structure, the integer lattice \mathbb {Z} ^{n} is coarsely equivalent to n-dimensional Euclidean space.
  • A space X where X\times X is controlled is called a bounded space. Such a space is coarsely equivalent to a point. A metric space with the bounded coarse structure is bounded (as a coarse space) if and only if it is bounded (as a metric space).
  • The trivial coarse structure only consists of the diagonal and its subsets. In this structure, a map is a coarse equivalence if and only if it is a bijection (of sets).
  • The C_{0} coarse structure on a metric space (X,d) is the collection of all subsets E of X\times X such that for all \varepsilon >0 there is a compact set K of E such that d(x,y)<\varepsilon for all (x,y)\in E\setminus K\times K. Alternatively, the collection of all subsets E of X\times X such that {\overline {\{(x,y)\in E:d(x,y)\geq \varepsilon \}}} is compact.
  • The discrete coarse structure on a set X consists of the diagonal \Delta together with subsets E of X\times X which contain only a finite number of points (x,y) off the diagonal.
  • If X is a topological space then the indiscrete coarse structure on X consists of all proper subsets of X\times X, meaning all subsets E such that E[K] and E^{-1}[K] are relatively compact whenever K is relatively compact.

04Bounded sets

Let {\mathcal {B}}=\{B\subseteq X:B\times B\in \mathbf {E} \} be the collection of all bounded sets of a coarse space X. Say that a coarse structure \mathbf {E} on X is coarsely connected if \{(x,y)\}\in \mathbf {E} for all (x,y)\in X\times X. Then {\mathcal {B}} is a bornology on X if and only if \mathbf {E} is coarsely connected. For example, if X has at least two points and \mathbf {E} is the trivial coarse structure, then {\mathcal {B}} is not a bornology. Bounded, discrete and indiscrete coarse structures are coarsely connected.

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Sources and credits

This article is adapted from the Wikipedia article Coarse structure, written by its contributors and licensed under CC BY-SA 4.0. Fathomly has changed the layout, removed citation markers, navigation and maintenance notices, and adjusted punctuation. This adapted version is shared under the same license. For references, see the original article.

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