Equivalence (measure theory)
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
[edit ]Let {\displaystyle \mu } and {\displaystyle \nu } be two measures on the measurable space {\displaystyle (X,{\mathcal {A}}),} and let {\displaystyle {\mathcal {N}}_{\mu }:=\{A\in {\mathcal {A}}\mid \mu (A)=0\}} and {\displaystyle {\mathcal {N}}_{\nu }:=\{A\in {\mathcal {A}}\mid \nu (A)=0\}} be the sets of {\displaystyle \mu }-null sets and {\displaystyle \nu }-null sets, respectively. Then the measure {\displaystyle \nu } is said to be absolutely continuous in reference to {\displaystyle \mu } if and only if {\displaystyle {\mathcal {N}}_{\nu }\supseteq {\mathcal {N}}_{\mu }.} This is denoted as {\displaystyle \nu \ll \mu .}
The two measures are called equivalent if and only if {\displaystyle \mu \ll \nu } and {\displaystyle \nu \ll \mu ,}[1] which is denoted as {\displaystyle \mu \sim \nu .} That is, two measures are equivalent if they satisfy {\displaystyle {\mathcal {N}}_{\mu }={\mathcal {N}}_{\nu }.}
Examples
[edit ]On the real line
[edit ]Define the two measures on the real line as {\displaystyle \mu (A)=\int _{A}\mathbf {1} _{[0,1]}(x)\mathrm {d} x} {\displaystyle \nu (A)=\int _{A}x^{2}\mathbf {1} _{[0,1]}(x)\mathrm {d} x} for all Borel sets {\displaystyle A.} Then {\displaystyle \mu } and {\displaystyle \nu } are equivalent, since all sets outside of {\displaystyle [0,1]} have {\displaystyle \mu } and {\displaystyle \nu } measure zero, and a set inside {\displaystyle [0,1]} is a {\displaystyle \mu }-null set or a {\displaystyle \nu }-null set exactly when it is a null set with respect to Lebesgue measure.
Abstract measure space
[edit ]Look at some measurable space {\displaystyle (X,{\mathcal {A}})} and let {\displaystyle \mu } be the counting measure, so {\displaystyle \mu (A)=|A|,} where {\displaystyle |A|} is the cardinality of the set a. So the counting measure has only one null set, which is the empty set. That is, {\displaystyle {\mathcal {N}}_{\mu }=\{\varnothing \}.} So by the second definition, any other measure {\displaystyle \nu } is equivalent to the counting measure if and only if it also has just the empty set as the only {\displaystyle \nu }-null set.
Supporting measures
[edit ]A measure {\displaystyle \mu } is called a supporting measure of a measure {\displaystyle \nu } if {\displaystyle \mu } is {\displaystyle \sigma }-finite and {\displaystyle \nu } is equivalent to {\displaystyle \mu .}[2]
References
[edit ]- ^ Klenke, Achim (2008). Probability Theory. Berlin: Springer. p. 156. doi:10.1007/978-1-84800-048-3. ISBN 978-1-84800-047-6.
- ^ 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.