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 (X,ℳ) be a measurable space.

A positive measure on (X,ℳ) is a function μ:ℳ→ [0,∞] such that

if A1, A2, …∈ℳ are such that if i,j∈ ℤ>0 and i≠j then Ai∩Aj=∅,
then μ( ⋃ i=1∞ Ai ) = ∑ i=1∞ μ(Ai) .
A complex measure on (X,ℳ) is a function μ:ℳ→ ℂ such that
if A1, A2, …∈ℳ are such that if i,j∈ ℤ>0 and i≠j then Ai∩Aj=∅,
then μ( ⋃ i=1∞ Ai ) = ∑ i=1∞ μ(Ai) .

A measure on (X,ℳ) is a positive measure or a complex measure on (X,ℳ).

Integration with respect to positive measures

Let (X,ℳ) be a measurable space. Let μ be a positive measure on (X,ℳ) and let E∈ℳ. For a function f:X→ [-∞,∞] let

f+ = 12 (|f| +f) and f+ = 12 (|f| -f) .
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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