Signed measure

2020 Mathematics Subject Classification: Primary: 28A33 [MSN][ZBL]

generalized measure, real valued measure

$\newcommand{\abs}[1]{\left|#1\right|}$ An real-valued $\sigma$-additive function defined on a certain $\sigma$-algebra $\mathcal{B}$ of subsets of a set $X$. More generally one can consider vector-valued measures, i.e. $\sigma$-additive functions $\mu$ on $\mathcal{B}$ taking values on a Banach space $B$. The total variation measure of $\mu$ is defined on $B\in\mathcal{B}$ as: \[ \abs{\mu}(B) :=\sup\left\{ \sum \abs{\mu(B_i)}_B: \text{$\{B_i\}\subset\mathcal{B}$ is a countable partition of $B$}\right\} \] where $\abs{\cdot}_B$ denotes the norm of $B$. In the real-valued case the above definition simplifies as \[ \abs{\mu}(B) = \sup_{A\in \mathcal{B}, A\subset B} \left(\abs{\mu (A)} + \abs{\mu (X\setminus B)}\right). \] $\abs{\mu}$ is a measure and $\mu$ is said to have finite total variation if $\abs{\mu} (X) <\infty$. If $V$ is finite-dimensional the [[Radon-Nikodym theorem]] implies the existence of a measurable $f\in L^1 (\abs{\mu}, V)$ such that \[ \mu (B) = \int_B f d\abs{\mu}\qquad \mbox{for all $B\in\mathcal{B}$.} \] In the case of real-valued measures this implies that each such $\mu$ can be written as the difference of two nonnegative measures $\mu^+$ and $\mu^-$ which are mutually singular (i.e. such that there are sets $B^+, B^-\in\mathcal{B}$ with $\mu^+ (X\setminus B^+)= \mu^- (X\setminus B^-) =\mu^+ (B^-)=\mu^- (B^+)=0$). This last statement is sometimes referred to as Hahn decomposition theorem. By the [[Riesz representation theorem]] the space of signed measures with finite total variation on the Borel $\sigma$-algebra of a locally compact Hausdorff space is the dual of the space of continuous functions (cp. also with Convergence of measures).

References

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