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Approach space

From Wikipedia, the free encyclopedia

Intopology, a branch ofmathematics,approach spaces are a generalization ofmetric spaces, based on point-to-set distances, instead of point-to-point distances. They were introduced by Robert Lowen in 1989, in a series of papers on approach theory between 1988 and 1995.

Definition

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Given a metric space (X,d), or more generally, anextendedpseudoquasimetric (which will be abbreviated∞pq-metric here), one can define an induced mapd:X × P(X) → [0,∞] byd(x,A) =inf{d(x,a) :aA}. With this example in mind, adistance onX is defined to be a mapX × P(X) → [0,∞] satisfying for allx inX andA,BX,

  1. d(x, {x}) = 0,
  2. d(x, Ø) = ∞,
  3. d(x,AB) = min(d(x,A),d(x,B)),
  4. For all 0 ≤ ε ≤ ∞,d(x,A) ≤d(x,A(ε)) + ε,

where we defineA(ε) = {x :d(x,A) ≤ ε}.

(The "empty infimum is positive infinity" convention is like thenullary intersection is everything convention.)

An approach space is defined to be a pair (X,d) whered is a distance function onX. Every approach space has atopology, given by treatingA → A(0) as aKuratowski closure operator.

The appropriate maps between approach spaces are thecontractions. A mapf: (X,d) → (Y,e) is a contraction ife(f(x),f[A]) ≤d(x,A) for allxX andAX.

Examples

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Every ∞pq-metric space (X,d) can bedistanced to (X,d), as described at the beginning of the definition.

Given a setX, thediscrete distance is given byd(x,A) = 0 ifxA andd(x,A) = ∞ ifxA. Theinduced topology is thediscrete topology.

Given a setX, theindiscrete distance is given byd(x,A) = 0 ifA is non-empty, andd(x,A) = ∞ ifA is empty. The induced topology is the indiscrete topology.

Given atopological spaceX, atopological distance is given byd(x,A) = 0 ifxA, andd(x,A) = ∞ otherwise. The induced topology is the original topology. In fact, the only two-valued distances are the topological distances.

LetP = [0, ∞] be theextended non-negativereals. Letd+(x,A) = max(xsupA, 0) forxP andAP. Given any approach space (X,d), the maps (for eachAX)d(.,A) : (X,d) → (P,d+) are contractions.

OnP, lete(x,A) = inf{|xa| :aA} forx < ∞, lete(∞,A) = 0 ifA is unbounded, and lete(∞,A) = ∞ ifA is bounded. Then (P,e) is an approach space. Topologically,P is the one-point compactification of [0, ∞). Note thate extends the ordinary Euclidean distance. This cannot be done with the ordinary Euclidean metric.

Let βN be the Stone–Čech compactification of theintegers. A pointU ∈ βN is an ultrafilter onN. A subsetA ⊆ βN induces a filterF(A) = ∩ {U :UA}. Letb(U,A) = sup{ inf{ |nj| :nX,jE } :XU,EF(A) }. Then (βN,b) is an approach space that extends the ordinary Euclidean distance onN. In contrast, βN is not metrizable.

Equivalent definitions

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Lowen has offered at least seven equivalent formulations. Two of them are below.

Let XPQ(X) denote the set of xpq-metrics onX. A subfamilyG of XPQ(X) is called agauge if

  1. 0 ∈G, where 0 is the zero metric, that is, 0(x,y) = 0 for allx,y,
  2. edG implieseG,
  3. d,eG implies max(d,e) ∈G (the "max" here is thepointwise maximum),
  4. For alld ∈ XPQ(X), if for allxX, ε > 0,N < ∞ there iseG such that min(d(x,y),N) ≤e(x,y) + ε for ally, thendG.

IfG is a gauge onX, thend(x,A) = sup {e(x,a) } :eG} is a distance function onX. Conversely, given a distance functiond onX, the set ofe ∈ XPQ(X) such thated is a gauge onX. The two operations are inverse to each other.

A contractionf: (X,d) → (Y,e) is, in terms of associated gaugesG andH respectively, a map such that for alldH,d(f(.),f(.)) ∈G.

Atower onX is a set of mapsAA[ε] forAX, ε ≥ 0, satisfying for allA,BX and δ, ε ≥ 0

  1. AA[ε],
  2. Ø[ε] = Ø,
  3. (AB)[ε] =A[ε]B[ε],
  4. A[ε][δ]A[ε+δ],
  5. A[ε] = ∩δ>εA[δ].

Given a distanced, the associatedAA(ε) is a tower. Conversely, given a tower, the mapd(x,A) = inf{ε :xA[ε]} is a distance, and these two operations are inverses of each other.

A contractionf:(X,d)→(Y,e) is, in terms of associated towers, a map such that for all ε ≥ 0,f[A[ε]] ⊆f[A][ε].

Categorical properties

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The main interest in approach spaces and their contractions is that they form acategory with good properties, while still being quantitative like metric spaces. One can take arbitraryproducts,coproducts, and quotients, and the results appropriately generalize the corresponding results for topologies. One can even "distancize" such badly non-metrizable spaces like βN, theStone–Čech compactification of the integers.

Certain hyperspaces,measure spaces, andprobabilistic metric spaces turn out to be naturally endowed with a distance. Applications have also been made toapproximation theory.

References

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  • Lowen, Robert (1997).Approach spaces: the missing link in the topology-uniformity-metric triad. Oxford Mathematical Monographs. Oxford:Clarendon Press.ISBN 0-19-850030-0.Zbl 0891.54001.
  • Lowen, Robert (2015).Index Analysis: Approach Theory at Work. Springer.

External links

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Basic concepts
Main results
Maps
Types of
metric spaces
Sets
Examples
Manifolds
Functional analysis
andMeasure theory
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