0% found this document useful (0 votes)
11 views8 pages

Lecture 1 FA Compact

Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
11 views8 pages

Lecture 1 FA Compact

Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 8

1

Functional Analysis

Binod Chandra Tripathy


Department of Mathematics
Tripura University
Agartala- 799022, Tripura

Book to be followed
Functional Analysis by Balmohan V. Limaye
New Age International Ltd.
Compact Operators on Normed Linear Spaces

Definition. Let X and Y be linear spaces over the field


of scalars K. Then the function F:X→Y is said to be
linear if
F(k1x1+k2x2) = k1F(x1) + k2F(x2),
for x1, x2 X and k1, k2K.
Example. Let X = R, the set of real numbers, which is a
real vector space. That is the field of scalars is R.
Consider the function f: RR be defined by
2

f(x) = 2x, for xR.


Then we have,
f(k1x1+k2x2) = 2(k1x1+k2x2)
= 2k1x1+ 2k2x2
= k1(2x1) + k2(2x2)
= k1f(x1) + k2f(x2)
Hence, f is a linear function on R.
Problem. Verify whether the function f: RR defined
by
f(x) = 2x+7, for xR
is linear or not.

Result. A linear map F:X→Y, where X and Y are


normal linear spaces is said to be continuous if and only
if F(U) is bounded in Y, where U is the unit ball in X.
Definition. A subset B of a linear space is said to be
compact, if every open cover has a finite subsocver.
Definition. A linear map F from a normed linear space
X into the normed linear space Y is said to be compact if
the closure of F(U) is compact subset of Y.
3

Note. A Compact linear map is also known as


completely continuous linear map.
Remark. A compact subset of Y in a normed linear
space is bounded, so a compact linear map is
continuous.
Definition. A subset E of a metric space X is said to be
totally bounded if for a given >0, there exists x1, x2, . .
., xn such that.
EU(x1, )U(x2, ). . . U(xn, ),
where U(xk, ) is an open ball at xk of radices , for k =
1, 2, . . . , n.
In view of the above definition, we have the following
results.
Result. Totally boundedness is a hereditary property.
That is if A B and B is totally bounded, then A is
totally bounded.
Result. In a metric space X, a subset and E is compact if
and only if every sequence has a convergent
subsequence if and only if X is complete and totally
bounded.
4

Remark. A compact subset Y of a normed linear space


X is bounded, so a compact linear map is continuous.
The converse is not necessarily true. This follows from
the following example.
Example. Let X be an infinite dimensional linear space.
Consider the identify map I.
Clearly, I is linear and bounded, so is continuous.
Consider the unit ball U and its closure i.e.
U ={xX: ||x||≤1}.
Consider the open cover V of U as follows:
V={B(ek,1), B(-ek,1), k =1, 2, . . . }{},
where  is the zero element of X.
Thus the open cover V cannot be reduced to a finite
sub-cover for U. Hence I is not compact.
5

Notation. The following notations will be used


throughout. Let X and Y be two linear spaces, then
L(X,Y) = Linear maps from X to Y.
BL(X,Y) = compact maps from X to Y.
BL(X) = Bounded linear maps from X to X.
C(X,Y) = Compact maps from X to Y.
6

Theorem. Let X and Y be normed linear spaces, and


F:X→Y be linear map. Then F is a compact map if and
only if for every bounded sequence (xn) in X, (F(xn)) has
a subsequence which converges on Y.
Proof. Let F be compact and (xn) be a bounded
sequence in X. Let, >0 be such that
||xn|| <, for every nN.
 ||xn||-1 <1, for every nN.
 ||-1xn|| <1, for every nN, since ||.|| is linear and
continuous.
Thus, (-1xn)U.
  xn   ________
  F     F (U )
   

  xn   ________
We have  F    a bounded sequence in Y, since F (U )
   
is bounded, by hypothesis F is compact. Thus by
  xn  
Weierstrass completeness principle  F    has a
   
convergent subsequence.
7

  xn j    xn  
 F   F    .
Let     be the convergent subsequence of
   
  

This implies,  F xn
1
  
j is convergent.

Which implies, F xn j    is convergent.


Thus, we have (F(xn)) has a subsequence which
converges on Y.

Conversely, suppose that for every bounded sequence


(xn) in X, (F(xn)) has a convergent subsequence in Y, to
show that F is compact.
Now construct a sequence (yn) in Y such that
||yn - F(xn)|| < n-1, for all nN, . . . . . . . (1)
where (xn) is a bounded sequence in U.
We have, (F(xn)) has a convergent subsequence in Y.
   be the subsequence such that, lim F ( x
Let F xn j j 
nj )
exists in Y.

Let, lim F ( xn j )  y .
j 

By (1), we have lim yn j  y  Y.


j 
8

________
Hence we have (yn) a sequence in F (U ) , which has a
convergent subsequence.
________
Hence by a known result, F (U ) is compact, which
shows that F is compact.
Theorem. Let X be a metric space. The following
conditions are equivalent.
(i) X is compact.
(ii) Every sequence in X has a convergent subsequence.
(iii) X is complete and totally bounded.
We can generate a metric from the norm on the space.

You might also like