Open main menu
Home
Random
Recent changes
Special pages
Community portal
Preferences
About Wikipedia
Disclaimers
Incubator escapee wiki
Search
User menu
Talk
Dark mode
Contributions
Create account
Log in
Editing
Uniform norm
(section)
Warning:
You are not logged in. Your IP address will be publicly visible if you make any edits. If you
log in
or
create an account
, your edits will be attributed to your username, along with other benefits.
Anti-spam check. Do
not
fill this in!
=== Uniformity of uniform convergence === {{See also|Topologies on spaces of linear maps}} Let <math>X</math> be a set and let <math>(Y,\mathcal E_Y)</math> be a [[uniform space]]. A sequence <math>(f_n)</math> of functions from <math>X</math> to <math>Y</math> is said to converge uniformly to a function <math>f</math> if for each entourage <math>E\in\mathcal E_Y</math> there is a natural number <math>n_0</math> such that, <math>(f_n(x),f(x))</math> belongs to <math>E</math> whenever <math>x\in X</math> and <math>n\ge n_0</math>. Similarly for a net. This is a convergence in a topology on <math>Y^X</math>. In fact, the sets :<math>\{(f,g)\colon\forall x\in X\colon(f(x),g(x))\in E\}</math> where <math>E</math> runs through entourages of <math>Y</math> form a fundamental system of entourages of a uniformity on <math>Y^X</math>, called the '''uniformity of uniform convergence''' on <math>Y^X</math>. The uniform convergence is precisely the convergence under its uniform topology. If <math>(Y,d_Y)</math> is a [[metric space]], then it is by default equipped with the [[metric uniformity]]. The metric uniformity on <math>Y^X</math> with respect to the uniform extended metric is then the uniformity of uniform convergence on <math>Y^X</math>.
Edit summary
(Briefly describe your changes)
By publishing changes, you agree to the
Terms of Use
, and you irrevocably agree to release your contribution under the
CC BY-SA 4.0 License
and the
GFDL
. You agree that a hyperlink or URL is sufficient attribution under the Creative Commons license.
Cancel
Editing help
(opens in new window)