Decomposition of Distribution Function of Finite Signed Borel Measure
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Theorem
Let $\mu$ be a finite signed Borel measure on $\R$.
Let $\tuple {\mu^+, \mu^-}$ be the Jordan decomposition of $\mu$.
Then:
- $F_\mu = F_{\mu^+} - F_{\mu^-}$
where:
- $F_\mu$ is the distribution function of $\mu$
- $F_{\mu^+}$ and $F_{\mu^-}$ are the distribution functions of $\mu^+$ and $\mu^-$ respectively.
Proof
For each $x \in \R$ we have:
\(\ds \map {F_\mu} x\) | \(=\) | \(\ds \map \mu {\hointl {-\infty} x}\) | Definition of Distribution Function of Finite Signed Borel Measure | |||||||||||
\(\ds \) | \(=\) | \(\ds \map {\mu^+} {\hointl {-\infty} x} - \map {\mu^-} {\hointl {-\infty} x}\) | Definition of Jordan Decomposition | |||||||||||
\(\ds \) | \(=\) | \(\ds \map {F_{\mu^+} } x - \map {F_{\mu^-} } x\) | Definition of Distribution Function of Finite Borel Measure |
$\blacksquare$