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Real and Complex Analysis (Rudin)

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EXAMPLES OF BANACH SPACE TECHNIQUES 99<br />

If one of these sets, say V N , fails to be dense in X, then there exist an<br />

Xo E X <strong>and</strong> an r > 0 such that Ilxll s; r implies Xo + x ¢ V N ; this means that<br />

q>(xo + x) s; N, or<br />

IIA",(xo + x)11 s; N (5)<br />

for alIa E A <strong>and</strong> all x with Ilxll s; r. Since x = (xo + x) - xo, we then have<br />

IIA",xll s; IIA",(xo + x)11 + IIA",xoll s; 2N, (6)<br />

<strong>and</strong> it follows that (1) holds with M = 2N/r.<br />

The other possibility is that every V. is dense in X. In that case, n v. is a<br />

dense G 6 in X, by Baire's theorem; <strong>and</strong> since q>(x) = 00 for every x E n v.,<br />

the proof is complete. / / / /<br />

5.9 The Open Mapping Theorem Let U <strong>and</strong> V be the open unit balls of the<br />

Banach spaces X <strong>and</strong> Y. To every bounded linear transformation A of X onto<br />

Y there corresponds a () > 0 so that<br />

A(U) => {)V. (1)<br />

Note the word" onto" in the hypothesis. The symbol () V st<strong>and</strong>s for the set<br />

y: y E V}, i.e., the set of all y E Y with Ilyll < ().<br />

It follows from (1) <strong>and</strong> the linearity of A that the image of every open ball in<br />

. with center at xo, say, contains an open ball in Y with center at Axo. Hence<br />

e image of every open set is open. This explains the name of the theorem.<br />

Here is another way of stating (1): To every y with Ilyll < () there corresponds<br />

x with Ilxll < 1 so that Ax = y.<br />

PROOF Given y E Y, there exists an x E X such that Ax = y; if Ilxll < k, it<br />

follows that y E A(kU). Hence Y is the union of the sets A(kU), for<br />

k = 1, 2, 3, " " Since Y is complete, the Baire theorem implies that there is a<br />

nonempty open set W in the closure of some A(kU). This means that every<br />

point of W is the limit of a sequence {AXi}, where Xi E kU; from now on, k<br />

<strong>and</strong> Ware fixed.<br />

Choose Yo E W, <strong>and</strong> choose '1 > 0 so that Yo + YEW if Ilyll < '1. For<br />

any such y there are sequences {x;}, {xn in kU such that<br />

Axi- Yo + y (i- 00). (2)<br />

Setting Xi = xi - x;, we have Ilxili < 2k <strong>and</strong> AXi- y. Since this holds for<br />

every y with Ilyll < '1, the linearity of A shows that the following is true, if<br />

() = '1/2k:<br />

To each y E Y <strong>and</strong> to each E > 0 there corresponds an x E X such that<br />

Ilxll s;{)-lilyll <strong>and</strong> Ily-Axil

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