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,) be a measurable space.

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

if A1, A2, are such that if i,j >0 and ij then AiAj=,
then μ( i=1 Ai ) = i=1 μ(Ai) .
A complex measure on (X,) is a function μ: such that
if A1, A2, are such that if i,j >0 and ij then AiAj=,
then μ( i=1 Ai ) = i=1 μ(Ai) .

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

Integration with respect to positive measures

Let (X,) be a measurable space. Let μ be a positive measure on (X,) and let E. 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 0sf }
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 let f=u+iv where u:X and v:X are measurable and define
E fdμ = E udμ +i E vdμ .

Integration with respect to complex measures

Let (X,) be a measurable space. Let μ be a complex measure on X. Define a positive measure |μ|: [0,] by

|μ| (E) = sup { i=1 |μ(Ei) | | E1, E2, partitionE } .
for a measurable function f:X define
Xf dμ = Xfh d|μ| ,
where h:X is a measurable function such that
if xX then |h(x)|=1,     and     if E 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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