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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