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Let $\mathbb{F}$ denote $\mathbb{R}$ or $\mathbb{C}$.
> [!definition] Definition. ([[measure with a density]])
> Let $\mu$ be a [[measure|(positive) measure]] on a [[σ-algebra|measurable space]] $(X, \Sigma)$. Then [[Lp-norm|any]] $h \in \mathcal{L}^{1}(\mu)$ determines an $\mathbb{F}$[[signed measure|-]][[complex measure|valued]] [[complex measure|measure]] on $(X, \Sigma)$, denoted $h \, d\mu$, via $(h \, d\mu)(E \in \Sigma):= \int _{E} h \, d\mu .$
We call $h \, d\mu$ the **measure determined by $h$** or **measure with density $h$ (with respect to $\mu$)**. If $\nu$ is a [[measure]] which equals $h \, d\mu$, we conventionally write $d\nu=h\, d\mu$ even though the $d$ are spurious.
>
Note that if $h \in \mathcal{L}^{1}(\mu)$ is nonnegative, then $h \, d\mu$ is a [[finite measure|finite (positive) measure]].
^definition
> [!justification]
> We have to show that $\nu :=h \, d\mu$ indeed defines a [[signed measure]] on $(X, \Sigma)$ when $\mathbb{F}=\mathbb{R}$ and a [[complex measure]] on $(X, \Sigma)$ when $\mathbb{F}=\mathbb{C}$. Suppose $E_{1},E_{2},\dots$ is a disjoint [[sequence]] of sets in $\Sigma$. Then $\nu (\bigsqcup_{k=1}^{\infty} E_{k})= \int \sum_{k=1}^{\infty} (\chi_{E_{k}}(x) h(x) )\, d\mu(x) = \sum_{k=1}^{\infty} \int \chi_{E_{k}}h(x) \, d\mu(x)= \sum_{k=1}^{\infty} \nu(E_{k}), $
where the middle equality uses the [[Dominated Convergence Theorem]] with majorant $|h|$ (valid since $h \in \mathcal{L}^{1}(\mu)$).
^justification
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####
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#### References
> [!backlink]
> ```dataview
> TABLE rows.file.link as "Further Reading"
> FROM [[]]
> FLATTEN file.tags as Tag
> WHERE Tag = "#definition" OR Tag = "#theorem" OR Tag = "#MOC" OR Tag = "#proposition" OR Tag = "#axiom"
> GROUP BY Tag
> ```
> [!frontlink]
> ```dataview
> TABLE rows.file.link as "Further Reading"
> FROM outgoing([[]])
> FLATTEN file.tags as Tag
> WHERE Tag = "#definition" OR Tag = "#theorem" OR Tag = "#MOC" OR Tag = "#proposition" OR Tag = "#axiom"
> GROUP BY Tag
> ```