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In [[functional analysis]], it is often convenient to define a [[linear transformation]] on a [[complete space|complete]], [[normed vector space]] <math>X</math> by first defining a linear transformation <math>\mathsf{T}</math> on a [[dense set|dense]] [[subset]] of <math>X</math> and then extending <math>\mathsf{T}</math> to the whole space via the theorem below. The resulting extension remains [[linearity|linear]] and [[bounded operator|bounded]] (thus [[continuous function|continuous]]).
 
This procedure is known as '''continuous linear extension'''.
 
==Theorem==
 
Every bounded linear transformation <math>\mathsf{T}</math> from a normed vector space <math>X</math> to a complete, normed vector space <math>Y</math> can be uniquely extended to a bounded linear transformation <math>\tilde{\mathsf{T}}</math> from the [[complete space#Completion|completion]] of  <math>X</math> to <math>Y</math>. In addition, the [[operator norm]] of <math>\mathsf{T}</math> is <math>c</math> [[iff]] the norm of <math>\tilde{\mathsf{T}}</math> is <math>c</math>.
 
This theorem is sometimes called the B L T theorem, where B L T stands for ''bounded linear transformation''.
 
==Application==
 
Consider, for instance, the definition of the [[Riemann integral]]. A [[step function]] on a [[closure (mathematics)|closed]] [[interval (mathematics)|interval]] <math>[a,b]</math>  is a function of the form: <math>f\equiv r_1 \mathit{1}_{[a,x_1)}+r_2 \mathit{1}_{[x_1,x_2)} + \cdots + r_n \mathit{1}_{[x_{n-1},b]}</math>
where <math>r_1, \ldots, r_n</math> are real numbers, <math>a=x_0<x_1<\ldots <x_{n-1}<x_n=b</math>, and <math>\mathit{1}_S</math> denotes the [[indicator function]] of the set <math>S</math>. The space of all step functions on <math>[a,b]</math>, normed by the <math>L^\infty</math> norm (see [[Lp space]]), is a normed vector space which we denote by <math>\mathcal{S}</math>. Define the integral of a step function by: <math>\mathsf{I} \left(\sum_{i=1}^n r_i \mathit{1}_{ [x_{i-1},x_i)}\right) = \sum_{i=1}^n r_i (x_i-x_{i-1})</math>.
<math>\mathsf{I}</math> as a function is a bounded linear transformation from <math>\mathcal{S}</math> into <math>\mathbb{R}</math>.<ref>Here, <math>\mathbb{R}</math> is also a normed vector space; <math>\mathbb{R}</math> is a vector space because it satisfies all of the [[vector space#Formal_definition|vector space axioms]] and is normed by the [[absolute value|absolute value function]].</ref>
 
Let <math>\mathcal{PC}</math> denote the space of bounded, [[piecewise]] continuous functions on <math>[a,b]</math> that are continuous from the right, along with the <math>L^\infty</math> norm. The space <math>\mathcal{S}</math> is dense in <math>\mathcal{PC}</math>, so we can apply the B.L.T. theorem to extend the linear transformation <math>\mathsf{I}</math> to a bounded linear transformation <math>\tilde{\mathsf{I}}</math> from <math>\mathcal{PC}</math> to <math>\mathbb{R}</math>. This defines the Riemann integral of all functions in <math>\mathcal{PC}</math>; for every <math>f\in \mathcal{PC}</math>, <math>\int_a^b f(x)dx=\tilde{\mathsf{I}}(f)</math>.
 
==The Hahn–Banach theorem==
 
The above theorem can be used to extend a bounded linear transformation <math>T:S\rightarrow Y</math> to a bounded linear transformation from <math>\bar{S}=X</math> to <math>Y</math>, ''if'' <math>S</math> is dense in <math>X</math>. If <math>S</math> is not dense in <math>X</math>, then the [[Hahn–Banach theorem]] may sometimes be used to show that an extension [[existence|exists]]. However, the extension may not be unique.
 
==References==
 
*{{cite book|last=Reed|first=Michael|coauthors=Barry Simon|year=1980|title=Methods of Modern Mathematical Physics, Vol. 1: Functional Analysis|publisher=Academic Press|location=San Diego|isbn=0-12-585050-6}}
 
===Footnotes===
<references/>
 
{{DEFAULTSORT:Continuous Linear Extension}}
[[Category:Functional analysis]]

Revision as of 21:03, 29 November 2012

In functional analysis, it is often convenient to define a linear transformation on a complete, normed vector space X by first defining a linear transformation T on a dense subset of X and then extending T to the whole space via the theorem below. The resulting extension remains linear and bounded (thus continuous).

This procedure is known as continuous linear extension.

Theorem

Every bounded linear transformation T from a normed vector space X to a complete, normed vector space Y can be uniquely extended to a bounded linear transformation T~ from the completion of X to Y. In addition, the operator norm of T is c iff the norm of T~ is c.

This theorem is sometimes called the B L T theorem, where B L T stands for bounded linear transformation.

Application

Consider, for instance, the definition of the Riemann integral. A step function on a closed interval [a,b] is a function of the form: fr11[a,x1)+r21[x1,x2)++rn1[xn1,b] where r1,,rn are real numbers, a=x0<x1<<xn1<xn=b, and 1S denotes the indicator function of the set S. The space of all step functions on [a,b], normed by the L norm (see Lp space), is a normed vector space which we denote by 𝒮. Define the integral of a step function by: I(i=1nri1[xi1,xi))=i=1nri(xixi1). I as a function is a bounded linear transformation from 𝒮 into .[1]

Let 𝒫𝒞 denote the space of bounded, piecewise continuous functions on [a,b] that are continuous from the right, along with the L norm. The space 𝒮 is dense in 𝒫𝒞, so we can apply the B.L.T. theorem to extend the linear transformation I to a bounded linear transformation I~ from 𝒫𝒞 to . This defines the Riemann integral of all functions in 𝒫𝒞; for every f𝒫𝒞, abf(x)dx=I~(f).

The Hahn–Banach theorem

The above theorem can be used to extend a bounded linear transformation T:SY to a bounded linear transformation from S¯=X to Y, if S is dense in X. If S is not dense in X, then the Hahn–Banach theorem may sometimes be used to show that an extension exists. However, the extension may not be unique.

References

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Footnotes

  1. Here, is also a normed vector space; is a vector space because it satisfies all of the vector space axioms and is normed by the absolute value function.