Approach space
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In
topology In mathematics, topology (from the Greek words , and ) is concerned with the properties of a geometric object that are preserved under continuous deformations, such as stretching, twisting, crumpling, and bending; that is, without closing ...
, a branch of mathematics, approach spaces are a generalization of
metric space In mathematics, a metric space is a set together with a notion of '' distance'' between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general set ...
s, based on point-to-
set Set, The Set, SET or SETS may refer to: Science, technology, and mathematics Mathematics *Set (mathematics), a collection of elements *Category of sets, the category whose objects and morphisms are sets and total functions, respectively Electro ...
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

Given a metric space (''X'', ''d''), or more generally, an extended
pseudo The prefix pseudo- (from Greek ψευδής, ''pseudes'', "false") is used to mark something that superficially appears to be (or behaves like) one thing, but is something else. Subject to context, ''pseudo'' may connote coincidence, imitation, ...
quasimetric In mathematics, a metric space is a set together with a notion of ''distance'' between its elements, usually called points. The distance is measured by a function called a metric or distance function. Metric spaces are the most general settin ...
(which will be abbreviated ''∞pq-metric'' here), one can define an induced map d: ''X'' × P(''X'') → ,∞by d(''x'', ''A'') = inf. With this example in mind, a distance on ''X'' is defined to be a map ''X'' × P(''X'') → ,∞satisfying for all ''x'' in ''X'' and ''A'', ''B'' ⊆ ''X'', #d(''x'', ) = 0, #d(''x'', Ø) = ∞, #d(''x'', ''A''∪''B'') = min(d(''x'', ''A''), d(''x'', ''B'')), #For all 0 ≤ ε ≤ ∞, d(''x'', ''A'') ≤ d(''x'', ''A''(ε)) + ε, where we define ''A''(ε) = . (The "
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infimum is positive infinity" convention is like the nullary intersection is everything convention.) An approach space is defined to be a pair (''X'', d) where d is a distance function on ''X''. Every approach space has a
topology In mathematics, topology (from the Greek words , and ) is concerned with the properties of a geometric object that are preserved under continuous deformations, such as stretching, twisting, crumpling, and bending; that is, without closing ...
, given by treating ''A'' → ''A''(0) as a Kuratowski closure operator. The appropriate maps between approach spaces are the ''contractions''. A map ''f'': (''X'', d) → (''Y'', e) is a contraction if e(''f''(''x''), ''f'' 'A'' ≤ d(''x'', ''A'') for all ''x'' ∈ ''X'' and ''A'' ⊆ ''X''.


Examples

Every ∞pq-metric space (''X'', ''d'') can be ''distanced'' to (''X'', d), as described at the beginning of the definition. Given a set ''X'', the ''discrete'' distance is given by d(''x'', ''A'') = 0 if ''x'' ∈ ''A'' and d(''x'', ''A'') = ∞ if ''x'' ∉ ''A''. The
induced topology In topology and related areas of mathematics, a subspace of a topological space ''X'' is a subset ''S'' of ''X'' which is equipped with a topology induced from that of ''X'' called the subspace topology (or the relative topology, or the induced to ...
is the
discrete topology In topology, a discrete space is a particularly simple example of a topological space or similar structure, one in which the points form a , meaning they are ''isolated'' from each other in a certain sense. The discrete topology is the finest top ...
. Given a set ''X'', the ''indiscrete'' distance is given by d(''x'', ''A'') = 0 if ''A'' is non-empty, and d(''x'', ''A'') = ∞ if ''A'' is empty. The induced topology is the indiscrete topology. Given a
topological space In mathematics, a topological space is, roughly speaking, a geometrical space in which closeness is defined but cannot necessarily be measured by a numeric distance. More specifically, a topological space is a set whose elements are called po ...
''X'', a ''topological'' distance is given by d(''x'', ''A'') = 0 if ''x'' ∈ ''A'', and d(''x'', ''A'') = ∞ otherwise. The induced topology is the original topology. In fact, the only two-valued distances are the topological distances. Let P = , ∞be the extended non-negative reals. Let d+(''x'', ''A'') = max(''x'' − sup ''A'', 0) for ''x'' ∈ P and ''A'' ⊆ P. Given any approach space (''X'', d), the maps (for each ''A'' ⊆ ''X'') d(., ''A'') : (''X'', d) → (P, d+) are contractions. On P, let e(''x'', ''A'') = inf for ''x'' < ∞, let e(∞, ''A'') = 0 if ''A'' is unbounded, and let e(∞, ''A'') = ∞ if ''A'' is bounded. Then (P, e) is an approach space. Topologically, P is the one-point compactification of [0, ∞). Note that e extends the ordinary Euclidean distance. This cannot be done with the ordinary Euclidean metric. Let βN be the Stone–Čech compactification of the integers. A point ''U'' ∈ βN is an ultrafilter on N. A subset ''A'' ⊆ βN induces a filter ''F''(''A'') = ∩ . Let b(''U'', ''A'') = sup. Then (βN, b) is an approach space that extends the ordinary Euclidean distance on N. In contrast, βN is not metrizable.


Equivalent definitions

Lowen has offered at least seven equivalent formulations. Two of them are below. Let XPQ(''X'') denote the set of xpq-metrics on ''X''. A subfamily ''G'' of XPQ(''X'') is called a ''gauge'' if #0 ∈ ''G'', where 0 is the zero metric, that is, 0(''x'', ''y'') = 0 for all ''x'', ''y'', #''e'' ≤ ''d'' ∈ ''G'' implies ''e'' ∈ ''G'', #''d'', ''e'' ∈ ''G'' implies max(''d'',''e'') ∈ ''G'' (the "max" here is the
pointwise maximum In mathematics, the lower envelope or pointwise minimum of a finite set of functions is the pointwise minimum of the functions, the function whose value at every point is the minimum of the values of the functions in the given set. The concept of ...
), #For all ''d'' ∈ XPQ(''X''), if for all ''x'' ∈ ''X'', ε > 0, ''N'' < ∞ there is ''e'' ∈ ''G'' such that min(''d''(''x'',''y''), ''N'') ≤ ''e''(''x'', ''y'') + ε for all ''y'', then ''d'' ∈ ''G''. If ''G'' is a gauge on ''X'', then d(''x'',''A'') = sup : ''e'' ∈ ''G''} is a distance function on ''X''. Conversely, given a distance function d on ''X'', the set of ''e'' ∈ XPQ(''X'') such that e ≤ d is a gauge on ''X''. The two operations are inverse to each other. A contraction ''f'': (''X'', d) → (''Y'', e) is, in terms of associated gauges ''G'' and ''H'' respectively, a map such that for all ''d'' ∈ ''H'', ''d''(''f''(.), ''f''(.)) ∈ ''G''. A ''tower'' on ''X'' is a set of maps ''A'' → ''A'' /sup> for ''A'' ⊆ ''X'', ε ≥ 0, satisfying for all ''A'', ''B'' ⊆ ''X'' and δ, ε ≥ 0 #''A'' ⊆ ''A'' /sup>, #Ø /sup> = Ø, #(''A'' ∪ ''B'') /sup> = ''A'' /sup> ∪ ''B'' /sup>, #''A'' δ] ⊆ ''A'' /sup>, #''A'' /sup> = ∩δ>ε ''A'' /sup>. Given a distance d, the associated ''A'' → ''A''(ε) is a tower. Conversely, given a tower, the map d(''x'',''A'') = inf is a distance, and these two operations are inverses of each other. A contraction ''f'':(''X'', d)→(''Y'', e) is, in terms of associated towers, a map such that for all ε ≥ 0, ''f'' /sup>.html" ;"title="'A'' /sup>">'A'' /sup>⊆ ''f'' 'A''sup> /sup>.


Categorical properties

The main interest in approach spaces and their contractions is that they form a
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with good properties, while still being quantitative like metric spaces. One can take arbitrary
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, coproducts, and quotients, and the results appropriately generalize the corresponding results for topologies. One can even "distancize" such badly non-metrizable spaces like βN, the
Stone–Čech compactification In the mathematical discipline of general topology, Stone–Čech compactification (or Čech–Stone compactification) is a technique for constructing a universal map from a topological space ''X'' to a compact Hausdorff space ''βX''. The Ston ...
of the integers. Certain hyperspaces, measure spaces, and probabilistic metric spaces turn out to be naturally endowed with a distance. Applications have also been made to approximation theory.


References

* * {{cite book , last=Lowen , first=Robert , title=Index Analysis: Approach Theory at Work , publisher=Springer , year=2015


External links


Robert Lowen
Closure operators