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Real and Complex Analysis (Rudin)

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DIFFERENTIATION 139<br />

PROOF Define<br />

for x E R\ r > 0, <strong>and</strong> put<br />

('1; fXx) = m(~)<br />

r If - f(x) I dm<br />

r J8(%. r)<br />

(Tf)(x) = lim sup (T,. f)(x). (2)<br />

r-O<br />

We have to prove that Tf = 0 a.e. Em].<br />

Pick y > O. Let n be a positive integer. By Theorem 3.14, there exists<br />

g E C(Rk) so that IIf - gill < lin: Put h =f - g.<br />

Since g is continuous, Tg = O. Since<br />

we have<br />

(T,. h)(x) ::; m(1 ) r I h I dm + I h(x) I<br />

Br J8(%.r)<br />

Since T,. f::; T,. g + T,. h, it follows that<br />

Therefore<br />

(1)<br />

(3)<br />

Th::; Mh + Ihl. (4)<br />

Tf::; Mh + Ihl. (5)<br />

{Tf> 2y} c {Mh > y} u {Ihl > y}. (6)<br />

Denote the union on the right of (6) by E(y, n). Since Ilhlll < lin,<br />

Theorem 7.4 <strong>and</strong> the inequality 7.5(1) show that<br />

The left side of (6) is independent of n. Hence<br />

m(E(y, n» ::; W + l)/(yn). (7)<br />

ao<br />

{Tf> 2y} c n E(y, n). (8)<br />

n=l<br />

This intersection has measure 0, by (7), so that {Tf> 2y} is a subset of a set<br />

of measure O. Since Lebesgue measure is complete, {Tf> 2y} is Lebesgue<br />

measurable, <strong>and</strong> has measure O. This holds for every positive y. Hence Tf = 0<br />

a.e. Em].<br />

IIII<br />

Theorem 7.7 yields interesting information, with very little effort, about<br />

topics such as<br />

(a) differentiation of absolutely continuous measures,<br />

(b) differentiation using sets other than balls,<br />

(c) differentiation of indefinite integrals in RI,<br />

(d) metric density of measurable sets.

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