Difference between revisions of "Metric space"
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A [[Normed space|normed space]] is a special case of a metric space, to see the relationships between metric spaces and others see: [[Subtypes of topological spaces]] | A [[Normed space|normed space]] is a special case of a metric space, to see the relationships between metric spaces and others see: [[Subtypes of topological spaces]] | ||
==Definition of a metric space== | ==Definition of a metric space== | ||
− | A metric space is a set <math>X</math> coupled with a "distance function"<ref name="Topology">Introduction to Topology - Bert Mendelson</ref>: | + | A metric space is a set <math>X</math> coupled with a "distance function"<ref name="Topology">Introduction to Topology - Bert Mendelson</ref>{{rITTGG}}: |
* <math>d:X\times X\rightarrow\mathbb{R}</math> or sometimes | * <math>d:X\times X\rightarrow\mathbb{R}</math> or sometimes | ||
* <math>d:X\times X\rightarrow\mathbb{R}_+</math><ref name="Analysis">Analysis - Part 1: Elements - Krzysztof Maurin</ref>, Note that here I prefer the notation <math>d:X\times X\rightarrow\mathbb{R}_{\ge 0}</math> | * <math>d:X\times X\rightarrow\mathbb{R}_+</math><ref name="Analysis">Analysis - Part 1: Elements - Krzysztof Maurin</ref>, Note that here I prefer the notation <math>d:X\times X\rightarrow\mathbb{R}_{\ge 0}</math> | ||
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{{:Discrete metric and topology/Metric space definition}} | {{:Discrete metric and topology/Metric space definition}} | ||
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==See also== | ==See also== |
Latest revision as of 06:07, 27 November 2015
A normed space is a special case of a metric space, to see the relationships between metric spaces and others see: Subtypes of topological spaces
Contents
[hide]Definition of a metric space
A metric space is a set X
- d:X×X→Ror sometimes
- d:X×X→R+[3], Note that here I prefer the notation d:X×X→R≥0
With the properties that for x,y,z∈X
- d(x,y)≥0(This is implicit with the d:X×X→R≥0 definition)
- d(x,y)=0⟺x=y
- d(x,y)=d(y,x)- Symmetry
- d(x,z)≤d(x,y)+d(y,z)- the Triangle inequality
We will denote a metric space as (X,d)
Examples of metrics
Euclidian Metric
The Euclidian metric on Rn
dEuclidian(x,y)=√n∑i=1((xi−yi)2)
Proof that this is a metric
Discrete Metric
Let X be a set. The discrete[2] metric, or trivial metric[4] is the metric defined as follows:
- d:X×X→R≥0with d:(x,y)↦{0if x=y1otherwise
However any strictly positive value will do for the x≠y case. For example we could define d as:
- d:(x,y)↦{0if x=yvotherwise
- Where v is some arbitrary member of R>0[Note 1] - traditionally (as mentioned) v=1 is used.
- Where v is some arbitrary member of R>0[Note 1] - traditionally (as mentioned) v=1 is used.
Note: however in proofs we shall always use the case v=1 for simplicity
Notes
Property | Comment |
---|---|
induced topology | discrete topology - which is the topology (X,P(X)) (where P denotes power set) |
Open ball | Br(x):={p∈X| d(p,x)<r}={{x}if r≤1Xotherwise |
Open sets | Every subset of X is open. Proof outline: as for a subset A⊆X we can show ∀x∈A∃r[Br(x)⊆A] by choosing say, that is A contains an open ball centred at each point in A. |
Connected | The topology generated by (X,ddiscrete) is not connected if X has more than one point. Proof outline:
|
See also
Notes
- Jump up ↑ Note the strictly greater than 0 requirement for v
References
- Jump up ↑ Introduction to Topology - Bert Mendelson
- ↑ Jump up to: 2.0 2.1 Introduction to Topology - Theodore W. Gamelin & Robert Everist Greene
- Jump up ↑ Analysis - Part 1: Elements - Krzysztof Maurin
- Jump up ↑ Functional Analysis - George Bachman and Lawrence Narici