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''generalized measure''
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''generalized measure'', ''real valued measure'', ''charge''
  
An extended real-valued <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217701.png" />-additive set function that is defined on the <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217702.png" />-algebra of Borel subsets of a domain <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217703.png" /> and that is finite on compact sets <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217704.png" />. The difference between two measures one of which is finite on <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217705.png" /> is a charge; conversely, all charges may be obtained in this way: for any charge <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217706.png" /> there exists a decomposition of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217707.png" /> into two disjoint Borel sets <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217708.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c0217709.png" /> such that <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177010.png" /> for <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177011.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177012.png" /> for <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177013.png" />. The measures <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177014.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177015.png" /> are independent of the choice of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177016.png" /> and <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177017.png" /> and are known respectively as the positive and negative variations of the charge <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177018.png" />; the measure <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177019.png" /> is called the total variation of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177020.png" />. With this notation, the so-called Hahn–Jordan decomposition: <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177021.png" /> holds, so that the properties of charges may be phrased in terms of measure theory.
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{{MSC|28A10}}
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[[Category:Classical measure theory]]
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{{TEX|done}}
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$
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\newcommand{\abs}[1]{\left|#1\right|}
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\newcommand{\norm}[1]{\left\|#1\right\|}
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$
  
====References====
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===Definition===
<table><TR><TD valign="top">[1]</TD> <TD valign="top">  N.S. Landkof,  "Foundations of modern potential theory" , Springer  (1972) (Translated from Russian)</TD></TR><TR><TD valign="top">[2]</TD> <TD valign="top">  P.R. Halmos,  "Measure theory" , v. Nostrand  (1950)</TD></TR></table>
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The terminology signed measure denotes usually a real-valued $\sigma$-additive function defined on a certain [[Algebra of sets|σ-algebra]] $\mathcal{B}$ of subsets of
 +
a set $X$ (see Section 28 of {{Cite|Ha}}). More generally one can consider vector-valued measures, i.e. $\sigma$-additive functions $\mu$ on $\mathcal{B}$
 +
taking values on a Banach space $V$ (see [[Vector measure]] and Chapter 1 of {{Cite|AFP}}). Some authors consider also measures taking values in the extended real line: in this case it is assumed that the measure either does not take the value $\infty$ or does not take the value $-\infty$.
  
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===Total variation===
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The total variation measure of $\mu$ is defined on $B\in\mathcal{B}$ as:
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\[
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\abs{\mu}(B) :=\sup\left\{ \sum \norm{\mu(B_i)}_V: \{B_i\}\subset\mathcal{B} \text{ is a countable partition of } B\right\}
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\]
 +
where $\norm{\cdot}_V$ denotes the norm of $V$.
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In the real-valued case the above definition simplifies as
 +
\[
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\abs{\mu}(B) = \sup_{A\in \mathcal{B}, A\subset B} \left(\abs{\mu (A)} + \abs{\mu (B\setminus A)}\right).
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\]
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$\abs{\mu}$ is a measure (cp. with Theorem B of {{Cite|Ha}} for real-valued measures and {{Cite|AFP}} for the vector-valued case). $\mu$ is said to have finite total variation if $\abs{\mu} (X) <\infty$. This is in fact a restriction only if the measure is, apriori, taking values in the extended real-line and it is equivalent to say that the measure of any set $E\in\mathcal{B}$ is finite (cp. with Section 29 of {{Cite|Ha}}).
  
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====Upper and lower variations====
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In the case of real-valued measures one can introduce also the upper and lower variations:
 +
\begin{align*}
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\mu^+ (B) &= \sup \{ \mu (A): A\in \mathcal{B}, A\subset B\}\\
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\mu^- (B) &= \sup \{ -\mu (A): A\in \mathcal{B}, A\subset B\}
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\end{align*}
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$\mu^+$ and $\mu^-$ are also measures (cp. with Theorem B of Section 28 in {{Cite|Ha}}).
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$\mu^+$ and $\mu^-$ are sometimes called, respectively, positive and negative variations of $\mu$.
 +
Observe that $\mu = \mu^+ - \mu^-$ and $|\mu| = \mu^++\mu^-$.
  
====Comments====
 
A charge is also called a signed measure [[#References|[a1]]], a real measure or a signed content. It can, more generally, be defined on a ring of subsets of a space <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177022.png" />, or, alternatively, on a [[Riesz space|Riesz space]] of functions on <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177023.png" />, see [[#References|[a2]]].
 
  
Any pair <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177024.png" /> as above is called a Hahn decomposition of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177025.png" /> with respect to <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177026.png" />. The pair <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177027.png" />, defined above, is also called the Jordan decomposition of <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/c/c021/c021770/c02177028.png" />.
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====Characterization of the total variation====
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For a real-valued measure the total variation can be characterized as
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\[
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|\mu| (E) = \sup \left\{\int_E f\, d\mu\; :\; f \mbox{ is } \mu\text{-measurable and } |f|\leq 1\, \right\}\,  
 +
\]
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(see Section 29 of {{Cite|Ha}}). A similar characterization can be extended to measures taking values in a finite-dimensional Banach space.
  
====References====
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===Radon-Nikodym theorem and consequences===
<table><TR><TD valign="top">[a1]</TD> <TD valign="top"> E. Hewitt,   K.R. Stromberg,   "Real and abstract analysis" , Springer (1965)</TD></TR><TR><TD valign="top">[a2]</TD> <TD valign="top">  K. Jacobs,  "Measure and integral" , Acad. Press (1978)</TD></TR></table>
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If $V$ is finite-dimensional the [[Radon-Nikodym theorem]] implies the existence
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of a measurable $f\in L^1 (\abs{\mu}, V)$ such that
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\[
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\mu (B) = \int_B f \rd\abs{\mu}
 +
\]
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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 disjoint sets $B^+, B^-\in\mathcal{B}$ with $B^+\cup B^- = X$ and
 +
\[
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\mu^+ (B^-) =
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\mu^- (B^+) = 0\, .
 +
\]
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This last statement is usually referred to as [[Jordan decomposition]] whereas the decomposition of $X$ into $B^+$ and $B^-$ is called [[Hahn decomposition|Hahn decomposition theorem]]. In fact the measures $\mu^+$ and $\mu^-$ coincide with the upper and lower variations defined above (cp. with Theorem B of {{Cite|Ha}}).
 +
 
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===Duality with continuous functions===
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By the [[Riesz representation theorem]] the space of signed measures with finite total variation on the $\sigma$-algebra of [[Borel set|Borel subsets]] of a compact
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Hausdorff space is the dual of the space of continuous functions (cp. also with [[Convergence of measures]]). A similar duality statement can be generalized to ''locally compact'' Hausdorff spaces.
 +
 
 +
===References===
 +
{|
 +
|-
 +
|valign="top"|{{Ref|AmFuPa}}||  L. Ambrosio, N. Fusco, D. Pallara, "Functions of bounded variations and  free discontinuity problems". Oxford Mathematical Monographs. The  Clarendon Press, Oxford University Press, New York, 2000.  {{MR|1857292}}{{ZBL|0957.49001}}
 +
|-
 +
|valign="top"|{{Ref|Bi}}|| P. Billingsley, "Convergence of  probability measures" , Wiley (1968)  {{MR|0233396}} {{ZBL|0172.21201}}
 +
|-
 +
|valign="top"|{{Ref|Bo}}||  N. Bourbaki, "Elements of mathematics. Integration" , Addison-Wesley (1975) pp. Chapt.6;7;8 (Translated from French) {{MR|0583191}}  {{ZBL|1116.28002}} {{ZBL|1106.46005}} {{ZBL|1106.46006}}  {{ZBL|1182.28002}} {{ZBL|1182.28001}} {{ZBL|1095.28002}}  {{ZBL|1095.28001}} {{ZBL|0156.06001}}
 +
|-
 +
|valign="top"|{{Ref|DS}}||  N. Dunford, J.T. Schwartz, "Linear operators. General theory" , '''1'''  , Interscience (1958) {{MR|0117523}}
 +
|-
 +
|valign="top"|{{Ref|Ha}}|| P.R. Halmos,  "Measure theory", v. Nostrand (1950) {{MR|0033869}} {{ZBL|0040.16802}}
 +
|-
 +
|valign="top"|{{Ref|Ma}}||  P. Mattila, "Geometry of sets and measures in euclidean spaces.  Cambridge Studies in Advanced Mathematics, 44. Cambridge University  Press, Cambridge,  1995. {{MR|1333890}} {{ZBL|0911.28005}}
 +
|-
 +
|}

Latest revision as of 09:52, 16 August 2013

generalized measure, real valued measure, charge

2020 Mathematics Subject Classification: Primary: 28A10 [MSN][ZBL] $ \newcommand{\abs}[1]{\left|#1\right|} \newcommand{\norm}[1]{\left\|#1\right\|} $

Definition

The terminology signed measure denotes usually a real-valued $\sigma$-additive function defined on a certain σ-algebra $\mathcal{B}$ of subsets of a set $X$ (see Section 28 of [Ha]). More generally one can consider vector-valued measures, i.e. $\sigma$-additive functions $\mu$ on $\mathcal{B}$ taking values on a Banach space $V$ (see Vector measure and Chapter 1 of [AFP]). Some authors consider also measures taking values in the extended real line: in this case it is assumed that the measure either does not take the value $\infty$ or does not take the value $-\infty$.

Total variation

The total variation measure of $\mu$ is defined on $B\in\mathcal{B}$ as: \[ \abs{\mu}(B) :=\sup\left\{ \sum \norm{\mu(B_i)}_V: \{B_i\}\subset\mathcal{B} \text{ is a countable partition of } B\right\} \] where $\norm{\cdot}_V$ denotes the norm of $V$. In the real-valued case the above definition simplifies as \[ \abs{\mu}(B) = \sup_{A\in \mathcal{B}, A\subset B} \left(\abs{\mu (A)} + \abs{\mu (B\setminus A)}\right). \] $\abs{\mu}$ is a measure (cp. with Theorem B of [Ha] for real-valued measures and [AFP] for the vector-valued case). $\mu$ is said to have finite total variation if $\abs{\mu} (X) <\infty$. This is in fact a restriction only if the measure is, apriori, taking values in the extended real-line and it is equivalent to say that the measure of any set $E\in\mathcal{B}$ is finite (cp. with Section 29 of [Ha]).

Upper and lower variations

In the case of real-valued measures one can introduce also the upper and lower variations: \begin{align*} \mu^+ (B) &= \sup \{ \mu (A): A\in \mathcal{B}, A\subset B\}\\ \mu^- (B) &= \sup \{ -\mu (A): A\in \mathcal{B}, A\subset B\} \end{align*} $\mu^+$ and $\mu^-$ are also measures (cp. with Theorem B of Section 28 in [Ha]). $\mu^+$ and $\mu^-$ are sometimes called, respectively, positive and negative variations of $\mu$. Observe that $\mu = \mu^+ - \mu^-$ and $|\mu| = \mu^++\mu^-$.


Characterization of the total variation

For a real-valued measure the total variation can be characterized as \[ |\mu| (E) = \sup \left\{\int_E f\, d\mu\; :\; f \mbox{ is } \mu\text{-measurable and } |f|\leq 1\, \right\}\, \] (see Section 29 of [Ha]). A similar characterization can be extended to measures taking values in a finite-dimensional Banach space.

Radon-Nikodym theorem and consequences

If $V$ is finite-dimensional the Radon-Nikodym theorem implies the existence of a measurable $f\in L^1 (\abs{\mu}, V)$ such that \[ \mu (B) = \int_B f \rd\abs{\mu} \] 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 disjoint sets $B^+, B^-\in\mathcal{B}$ with $B^+\cup B^- = X$ and \[ \mu^+ (B^-) = \mu^- (B^+) = 0\, . \] This last statement is usually referred to as Jordan decomposition whereas the decomposition of $X$ into $B^+$ and $B^-$ is called Hahn decomposition theorem. In fact the measures $\mu^+$ and $\mu^-$ coincide with the upper and lower variations defined above (cp. with Theorem B of [Ha]).

Duality with continuous functions

By the Riesz representation theorem the space of signed measures with finite total variation on the $\sigma$-algebra of Borel subsets of a compact Hausdorff space is the dual of the space of continuous functions (cp. also with Convergence of measures). A similar duality statement can be generalized to locally compact Hausdorff spaces.

References

[AmFuPa] L. Ambrosio, N. Fusco, D. Pallara, "Functions of bounded variations and free discontinuity problems". Oxford Mathematical Monographs. The Clarendon Press, Oxford University Press, New York, 2000. MR1857292Zbl 0957.49001
[Bi] P. Billingsley, "Convergence of probability measures" , Wiley (1968) MR0233396 Zbl 0172.21201
[Bo] N. Bourbaki, "Elements of mathematics. Integration" , Addison-Wesley (1975) pp. Chapt.6;7;8 (Translated from French) MR0583191 Zbl 1116.28002 Zbl 1106.46005 Zbl 1106.46006 Zbl 1182.28002 Zbl 1182.28001 Zbl 1095.28002 Zbl 1095.28001 Zbl 0156.06001
[DS] N. Dunford, J.T. Schwartz, "Linear operators. General theory" , 1 , Interscience (1958) MR0117523
[Ha] P.R. Halmos, "Measure theory", v. Nostrand (1950) MR0033869 Zbl 0040.16802
[Ma] P. Mattila, "Geometry of sets and measures in euclidean spaces. Cambridge Studies in Advanced Mathematics, 44. Cambridge University Press, Cambridge, 1995. MR1333890 Zbl 0911.28005
How to Cite This Entry:
Signed measure. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Signed_measure&oldid=19071
This article was adapted from an original article by M.I. Voitsekhovskii (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article