Page 353 - DMTH401_REAL ANALYSIS
P. 353
Unit 29: The Lebesgue Integral of Bounded Functions
Notes
(f) If f g a.e. on A then ò A f A ò g .
(g) If f = g a.e. on A then ò A f = A ò g .
(h) If f 0 a.e. on A and ò f = 0 , then f = 0 a.e. on A.
A
(i) A ò f A ò f .
Proof: We prove only (h); the others are easy and left as an exercise.
(h) For each positive integer n let A = {x Î A : f(x) 1/n }. Then
n
0 = ò f ò f (by (e))
A An
1
ò (by (f))
An
n
1
= m(A ) (by (by definition of the integral)
n
n
0
so m(A ) = 0. Since this holds for all n, we see from f (0, ) Ç A = n 1 A that 0 m(f (0, ) Ç
–1
–1
n = n
–1
A) å n 1 m(A ) = 0. So m(f (0, ) ÇA) = 0. Together with f a.e. on A.
=
n
Theorem: Bounded Convergence Theorem
Suppose m(E) < , and {f } is a sequence of measurable functions defined and uniformly bounded
n
on E by some constant M > 0, i.e.
|f | M for all n on E.
n
If {f } converges to a function f (pointwisely) a.e. on E, then f is also bounded measurable on E,
n
lim f n exists (in ) and is given by
n E ò
(5) lim f = E ò f
E ò
n
n
Proof: Under the given assumptions it is clear that f, being the pointwise limit of {f } a.e. on E, is
n
bounded (by M) and measurable on E. We wish to show lim f exists and (5) holds. The result
E ò
n
n
is trivial if m(E) = 0. So assume m(E) > 0 and let > 0 be given. Then for each natural number i let
E = {x Î, E : |f(x) – f(x)| /2m(E) for some j i}.
i j
Then {E } is a decreasing sequence of sets with m(E ) m(E) < . So
i 1
æ ö
m(E ) m ç E = 0,
i è i 1 i÷ ø
=
the last equality follows from the fact that
æ ö
m ç E m ({x Î E : f (x) / f(x)}) = 0
i÷
è
n
ø
i 1
=
Choose N large enough such that m(E ) < /4M and let A = E . Then |f – f| < /2m(E) everywhere
N N n
on E\A for all n N, and hence whenever n N we have
E ò f - E ò f ò E n ò - f (by linearity and (i))
n
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