Page 326 - DMTH401_REAL ANALYSIS
P. 326
Real Analysis
Notes By Proposition, each set on the right is measurable, thus so is (f) [a, ]. We’ll analyze more
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algebraic properties of measurable functions in the next section.
We now give some examples of measurable functions.
Example: Let X = with Lebesgue measure. Then any continuous function f : is
n
n
measurable because for any a , by continuity (the inverse of any open set is open),
–1
–1
f [a, ] = f (a, )
(where we used that f does not take the value ) is an open subset of . Since open sets are
n
measurable, it follows that f is measurable.
Thus, for Lebesgue measure, continuity implies measurability. However, the converse is far
from true because there are many more functions that are measurable than continuous. For
instance, Dirichlet’s function D : ,
ì 1 if x ,
D(x) = í
î 0 if x Ï ,
is Lebesgue measurable. Note that D is nowhere continuous. That D is measurable follows from
example below and the fact that D is just the characteristic function of , and is measurable.
Example: For a general measure space X and a set A X, we claim that the characteristic
function : X is measurable if and only if the set A is measurable. Indeed, looking at
A
Figure 27.1, we see that
ì X if a < 0
ï
-
a
1
[a, ] = {x X; (x) > a} = A if 0 £ < 1,
í
A
A
ï Æ if a ³ 1.
î
1
-
It follows that [a, ] S for all a if and only if A S , which proves the claim. In
A
n
particular, there exists a non-Lebesgue measurable function on . In fact, given any non-
measurable set A , the characteristic function : is not measurable.
n
n
A
Figure 27.1: Graph of
A
Of course, since A is non-constructive, so is . You will probably never find a non-measurable
A
function in practice. The following example shows the importance of studying extended
real-valued functions, instead of just real-valued functions.
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