Measures and Integration
			
Arun Ram 
Department of Mathematics and Statistics 
University of Melbourne 
Parkville, VIC 3010 Australia 
aram@unimelb.edu.au
			
Last updates: 18 March 2011
Measures
Let  be a measurable space.
A positive measure on  is a function
such that
- 
if 
are such that if 
and 
then ,
 
- 
then
.
 
A 
complex measure on 
 is a function
such that
- 
if 
are such that if 
and 
then ,
 
- 
then
.
 
A measure on  is a positive measure or
a complex measure on .
Integration with respect to positive measures
Let  be a measurable space.
Let  be a positive measure on  and let
.  
For a function  let
| 
 |  | 
For a simple measurable function
| 
s=
	∑i=1n
αi
χAi
    
define
    
∫E
sdμ
=
	∑i=1n
αi
μ(
Ai
∩E)
.
 |  | 
For a measurable function 
f:
X→[0,∞]
define
| 
∫E
fdμ
=
sup
{
∫E
sdμ
|
sis simple measurable and 
0≤s≤f
}
 |  | 
For a measurable function 
f:X→
[-∞,∞] such that
∫E
f+dμ
<∞
or
∫E
f-dμ
<∞
define
| 
∫E
fdμ
=
∫E
f+dμ
-
∫E
f-dμ
.
 |  | 
For a measurable function 
f:X→
ℂ let
f=u+iv
where 
u:X→ℝ
and 
v:X→ℝ
are measurable and define
| 
∫E
fdμ
=
∫E
udμ
+i
∫E
vdμ
.
 |  | 
Integration with respect to complex measures
Let (X,ℳ) be a measurable space.
Let μ be a complex measure on X.  Define a positive
measure |μ|:
ℳ→[0,∞]
by
| 
|μ|
(E)
=
sup
{
	∑i=1∞
|μ(Ei)
|
|
E1,
E2,
…∈ℳ
partitionE
}
.
 |  | 
for a measurable function 
f:X→ℂ
define
| 
∫Xf
dμ
=
∫Xfh
d|μ|
,
 |  | 
where 
h:X→ℂ is a measurable
function such that 
| 
if x∈X then 
|h(x)|=1,
    and    
if E∈ℳ then
μ(E)=
∫Xh
d|μ|
.
 |  | 
HW:  Use the Radon-Nikodym theorem to show that the function h exists (see [Ru, Theorem 6.12]).
 
Notes and References
These notes were written for a course in "Measure Theory" at the Masters level at University of Melbourne. 
This presentation follows [Ru, Chapters 1-6].
References
 [Ru]  
W. Rudin,
Real and complex analysis, Third edition, McGraw-Hill, 1987.
MR0924157.
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