Equivalence (measure theory)

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In mathematics, and specifically in measure theory, equivalence is a notion of two measures being qualitatively similar. Specifically, the two measures agree on which events have measure zero.

Definition

Let μ and ν be two measures on the measurable space (X,𝒜), and let 𝒩μ:={A𝒜μ(A)=0} and 𝒩ν:={A𝒜ν(A)=0} be the sets of μ-null sets and ν-null sets, respectively. Then the measure ν is said to be absolutely continuous in reference to μ if and only if 𝒩ν𝒩μ. This is denoted as νμ.

The two measures are called equivalent if and only if μν and νμ,[1] which is denoted as μν. That is, two measures are equivalent if they satisfy 𝒩μ=𝒩ν.

Examples

On the real line

Define the two measures on the real line as μ(A)=A𝟏[0,1](x)dx ν(A)=Ax2𝟏[0,1](x)dx for all Borel sets A. Then μ and ν are equivalent, since all sets outside of [0,1] have μ and ν measure zero, and a set inside [0,1] is a μ-null set or a ν-null set exactly when it is a null set with respect to Lebesgue measure.

Abstract measure space

Look at some measurable space (X,𝒜) and let μ be the counting measure, so μ(A)=|A|, where |A| is the cardinality of the set a. So the counting measure has only one null set, which is the empty set. That is, 𝒩μ={}. So by the second definition, any other measure ν is equivalent to the counting measure if and only if it also has just the empty set as the only ν-null set.

Supporting measures

A measure μ is called a supporting measure of a measure ν if μ is σ-finite and ν is equivalent to μ.[2]

References

  1. Klenke, Achim (2008). Probability Theory. Berlin: Springer. p. 156. doi:10.1007/978-1-84800-048-3. ISBN 978-1-84800-047-6. 
  2. Kallenberg, Olav (2017). Random Measures, Theory and Applications. Switzerland: Springer. p. 21. doi:10.1007/978-3-319-41598-7. ISBN 978-3-319-41596-3.