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Pseudometric space

From Wikipedia, the free encyclopedia
Generalization of metric spaces in mathematics

Inmathematics, apseudometric space is ageneralization of ametric space in which the distance between two distinct points can be zero. Pseudometric spaces were introduced byĐuro Kurepa[1][2] in 1934. In the same way as everynormed space is ametric space, everyseminormed space is a pseudometric space. Because of this analogy, the termsemimetric space (which has a different meaning intopology) is sometimes used as a synonym, especially infunctional analysis.

When a topology is generated using a family of pseudometrics, the space is called agauge space.

Definition

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A pseudometric space(X,d){\displaystyle (X,d)} is a setX{\displaystyle X} together with a non-negativereal-valued functiond:X×XR0,{\displaystyle d:X\times X\longrightarrow \mathbb {R} _{\geq 0},} called apseudometric, such that for everyx,y,zX,{\displaystyle x,y,z\in X,}

  1. d(x,x)=0.{\displaystyle d(x,x)=0.}
  2. Symmetry:d(x,y)=d(y,x){\displaystyle d(x,y)=d(y,x)}
  3. Subadditivity/Triangle inequality:d(x,z)d(x,y)+d(y,z){\displaystyle d(x,z)\leq d(x,y)+d(y,z)}

Unlike a metric space, points in a pseudometric space need not bedistinguishable; that is, one may haved(x,y)=0{\displaystyle d(x,y)=0} for distinct valuesxy.{\displaystyle x\neq y.}

Examples

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Any metric space is a pseudometric space. Pseudometrics arise naturally infunctional analysis. Consider the spaceF(X){\displaystyle {\mathcal {F}}(X)} of real-valued functionsf:XR{\displaystyle f:X\to \mathbb {R} } together with a special pointx0X.{\displaystyle x_{0}\in X.} This point then induces a pseudometric on the space of functions, given byd(f,g)=|f(x0)g(x0)|{\displaystyle d(f,g)=\left|f(x_{0})-g(x_{0})\right|} forf,gF(X){\displaystyle f,g\in {\mathcal {F}}(X)}

Aseminormp{\displaystyle p} induces the pseudometricd(x,y)=p(xy){\displaystyle d(x,y)=p(x-y)}. This is aconvex function of anaffine function ofx{\displaystyle x} (in particular, atranslation), and therefore convex inx{\displaystyle x}. (Likewise fory{\displaystyle y}.)

Conversely, a homogeneous, translation-invariant pseudometric induces a seminorm.

Pseudometrics also arise in the theory ofhyperboliccomplex manifolds: seeKobayashi metric.

Everymeasure space(Ω,A,μ){\displaystyle (\Omega ,{\mathcal {A}},\mu )} can be viewed as a complete pseudometric space by definingd(A,B):=μ(AB){\displaystyle d(A,B):=\mu (A\vartriangle B)} for allA,BA,{\displaystyle A,B\in {\mathcal {A}},} where the triangle denotessymmetric difference.

Iff:X1X2{\displaystyle f:X_{1}\to X_{2}} is a function andd2 is a pseudometric onX2, thend1(x,y):=d2(f(x),f(y)){\displaystyle d_{1}(x,y):=d_{2}(f(x),f(y))} gives a pseudometric onX1. Ifd2 is a metric andf isinjective, thend1 is a metric.

Topology

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Thepseudometric topology is thetopology generated by theopen ballsBr(p)={xX:d(p,x)<r},{\displaystyle B_{r}(p)=\{x\in X:d(p,x)<r\},}which form abasis for the topology.[3] A topological space is said to be apseudometrizable space[4] if the space can be given a pseudometric such that the pseudometric topology coincides with the given topology on the space.

The difference between pseudometrics and metrics is entirely topological. That is, a pseudometric is a metric if and only if the topology it generates isT0 (that is, distinct points aretopologically distinguishable).

The definitions ofCauchy sequences andmetric completion for metric spaces carry over to pseudometric spaces unchanged.[5]

Metric identification

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The vanishing of the pseudometric induces anequivalence relation, called themetric identification, that converts the pseudometric space into a full-fledgedmetric space. This is done by definingxy{\displaystyle x\sim y} ifd(x,y)=0{\displaystyle d(x,y)=0}. LetX=X/{\displaystyle X^{*}=X/{\sim }} be thequotient space ofX{\displaystyle X} by this equivalence relation and defined:(X/)×(X/)R0d([x],[y])=d(x,y){\displaystyle {\begin{aligned}d^{*}:(X/\sim )&\times (X/\sim )\longrightarrow \mathbb {R} _{\geq 0}\\d^{*}([x],[y])&=d(x,y)\end{aligned}}}This is well defined because for anyx[x]{\displaystyle x'\in [x]} we have thatd(x,x)=0{\displaystyle d(x,x')=0} and sod(x,y)d(x,x)+d(x,y)=d(x,y){\displaystyle d(x',y)\leq d(x,x')+d(x,y)=d(x,y)} and vice versa. Thend{\displaystyle d^{*}} is a metric onX{\displaystyle X^{*}} and(X,d){\displaystyle (X^{*},d^{*})} is a well-defined metric space, called themetric space induced by the pseudometric space(X,d){\displaystyle (X,d)}.[6][7]

The metric identification preserves the induced topologies. That is, a subsetAX{\displaystyle A\subseteq X} is open (or closed) in(X,d){\displaystyle (X,d)} if and only ifπ(A)=[A]{\displaystyle \pi (A)=[A]} is open (or closed) in(X,d){\displaystyle \left(X^{*},d^{*}\right)} andA{\displaystyle A} issaturated. The topological identification is theKolmogorov quotient.

An example of this construction is thecompletion of a metric space by itsCauchy sequences.

See also

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Notes

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  1. ^Kurepa, Đuro (1934). "Tableaux ramifiés d'ensembles, espaces pseudodistaciés".C. R. Acad. Sci. Paris. 198 (1934):1563–1565.
  2. ^Collatz, Lothar (1966).Functional Analysis and Numerical Mathematics. New York, San Francisco, London:Academic Press. p. 51.
  3. ^"Pseudometric topology".PlanetMath.
  4. ^Willard, p. 23
  5. ^Cain, George (Summer 2000)."Chapter 7: Complete pseudometric spaces"(PDF).Archived(PDF) from the original on 7 October 2020. Retrieved7 October 2020.
  6. ^Howes, Norman R. (1995).Modern Analysis and Topology. New York, NY: Springer. p. 27.ISBN 0-387-97986-7. Retrieved10 September 2012.Let(X,d){\displaystyle (X,d)} be a pseudo-metric space and define an equivalence relation{\displaystyle \sim } inX{\displaystyle X} byxy{\displaystyle x\sim y} ifd(x,y)=0{\displaystyle d(x,y)=0}. LetY{\displaystyle Y} be the quotient spaceX/{\displaystyle X/\sim } andp:XY{\displaystyle p:X\to Y} the canonical projection that maps each point ofX{\displaystyle X} onto the equivalence class that contains it. Define the metricρ{\displaystyle \rho } inY{\displaystyle Y} byρ(a,b)=d(p1(a),p1(b)){\displaystyle \rho (a,b)=d(p^{-1}(a),p^{-1}(b))} for each paira,bY{\displaystyle a,b\in Y}. It is easily shown thatρ{\displaystyle \rho } is indeed a metric andρ{\displaystyle \rho } defines the quotient topology onY{\displaystyle Y}.
  7. ^Simon, Barry (2015).A comprehensive course in analysis. Providence, Rhode Island: American Mathematical Society.ISBN 978-1470410995.

References

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