Difference between revisions of "Discrete metric and topology"
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* {{M|(X,\mathcal{P}(X))}} where {{M|\mathcal{P} }} denotes [[Power set|power set]] | * {{M|(X,\mathcal{P}(X))}} where {{M|\mathcal{P} }} denotes [[Power set|power set]] | ||
{{Todo|find reference - even though it is obvious as I show above that every subset is open}} | {{Todo|find reference - even though it is obvious as I show above that every subset is open}} | ||
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+ | ==Related theorems== | ||
+ | * [[Every map from a space with the discrete topology is continuous]] | ||
==Notes== | ==Notes== | ||
<references group="Note"/> | <references group="Note"/> |
Revision as of 23:34, 23 July 2015
Contents
[hide]Metric space definition
Let X be a set. The discrete[1] metric, or trivial metric[2] is the metric defined as follows:
- d:X×X→R≥0 with 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
Open balls
The open balls of X with the discrete topology are entirely X or a single point, that is:
- Br(x):={p∈X| d(x,p)<r}={{x}for r≤1Xotherwise
Open sets
The open sets of (X,d_\text{discrete}) consist of every subset of X (the power set of X) - this is how the topology induced by the metric may be denoted (X,\mathcal{P}(X))
Every subset of X is an open set
Discrete topology
The discrete topology on X is the topology that considers every subset to be open. We may write X imbued with the discrete topology as:
- (X,\mathcal{P}(X)) where \mathcal{P} denotes power set
TODO: find reference - even though it is obvious as I show above that every subset is open
Related theorems
Notes
- Jump up ↑ Note the strictly greater than 0 requirement for v
References
- Jump up ↑ Introduction to Topology - Theodore W. Gamelin & Robert Everist Greene
- Jump up ↑ Functional Analysis - George Bachman and Lawrence Narici