Page 325 - DMTH401_REAL ANALYSIS
P. 325
Unit 27: Measurable Functions and Littlewood’s Second Principle
Notes
Notes As a reminder, for any A , f (A):= {x X; f(x) A}, so for instance f (a, ] = {x X;
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–1
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f(x) (a, ) } = {x X; f(x) > a}, or f (a, ) = {f > a} if you wish to be a probabilist.
and S is a -algebra, if both right-hand sets are in S , then so is the left-hand set. Hence, in order
to define the integral of f we just need f [a, ] S for each a . We are thus led to the
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following definition:
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A function f: X is measurable if f [a, ] S for each a .
We emphasize that the definition of measurability is not “artificial” but is required by Lebesgue’s
definition of the integral. If X is the sample space of some experiment, a measurable function is
called a random variable; thus,
In probability, random variable = measurable function.
We note that intervals of the sort (a, ] are not special, and sometimes it is convenient to use
other types of intervals.
Proposition: For a function f: X , the following are equivalent:
1. f is measurable.
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2. f [–, a] S for each a .
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3. f [a, ] S for each a .
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4. f [–, a] S for each a .
Proof: Since preimages preserve complements, we have
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c
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c
(f [a, ]) = f ([a, ] ) = f [–, a].
Since -algebras are closed under complements, we have (1) (2). Similarly, the sets in (3) and
(4) are complements, so we have (3) (4). Thus, we just to prove (1) (3). Assuming (1) and
writing
é 1 ù 1 é 1 ù
[a, ] = a - , f [a, ] = f - a - , ,
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n 1 ë ê n ú û n 1 ê ë n ú û
=
=
ù
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shows that f [a, ] S since each f –1 é a - 1 , S and S is closed under countable intersections.
ê ë n ú û
Thus, (1) (3). Similarly,
é 1 ù 1 é 1 ù
[a, ] = a + , f (a, ] = f - a + , ,
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n 1 ë ê n ú û n 1 ê ë n ú û
=
=
shows that (3) (1).
As a consequence of this proposition, we can prove that measurable functions are closed under
scalar multiplication. Indeed, let f : X be measurable and let ; we’ll show that f is
also measurable. Assume that 0 (the = 0 case is easy) and observe that for any a ,
ì a }
{ ï x; f(x) > if > 0,
ï
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( f) [a, ] = {x; f(x) > a} = í
ï { x; f(x) < a } if < 0
ï
î
1 a
ì - é ù
ï f ê , ú if > 0,
ï ë û
= í
ï f - 1 é - , < a ù if < 0.
ï ê ë û ú
î
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