I am trying to understand the following equality involving probability measures in Wikipedia: ‖ μ...
rzfansubs87
Answered
2022-07-10
I am trying to understand the following equality involving probability measures in Wikipedia:
where the total variation norm and the total variation of a measure are defined in the some articles. The article has been flagged for not citing sources or offering a proof. I have found a proof of a similar result for discrete probability distributions (1). But I have not been able to adapt it to continuous probability distributions, which is the result above.
Answer & Explanation
Valeria Wolfe
Expert
2022-07-11Added 11 answers
First we need to show is a (finite) signed measure. I am not sure if that is trivial or requires some clever trick. Then, we let be the measurable set using the Hahn decomposition () of under s.t. is positive on . It is then easy to prove that for all , and . Then you go on to say that