Difference between revisions of "Regular set function"
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− | + | {{MSC|28A}} | |
− | + | [[Category:Classical measure theory]] | |
− | + | {{TEX|done}} | |
− | + | In general this terminology is used for [[Set function|set functions]], i.e. maps defined on a class \mathcal{C} of subsets of a set X and taking values in the extended real line (or, more generally, a normed vector space), with respect to which general sets in the domain of definition \mathcal{C} enjoy some suitable ''approximation properties'' with a relevant subclass of sets \mathcal{A}\subset \mathcal{C}. Such approximation properties imply usually that for a generic set C\in \mathcal{A} there is a set A\in \mathcal{A} such that |\mu (C\triangle A)| is small. Often the set X is a topological space and the class \mathcal{A} is related to the topology of X. | |
− | + | The precise meaning of the term depends, however, on the nature of the set function and on the author. The following are notable examples: | |
− | |||
+ | * If X is a locally compact topological space and \mu a [[Set function|set function]] \mu: \mathcal{C} \to [0, \infty] defined on the closed sets \mathcal{C} which is finitely additive and finite on compact sets, then \mu is called (by some authors) a ''regular content'' if | ||
+ | \[ | ||
+ | \mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} \qquad \forall D\in \mathcal{C}\, . | ||
+ | \] | ||
+ | (See for instance Section 54 of {{Cite|Ha}}). A regular content is countably additive (cp. with Theorem A of Section 54 in {{Cite|Ha}}). | ||
+ | * If X is a topological space and \mu a finitely additive set function \mu: \mathcal{C} \to [0, \infty] defined on a ring of sets, then \mu is called (by some authors) regular, if | ||
+ | \[ | ||
+ | \mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} = \sup\; \{\mu (C): \overline{C} \subset D\}\, . | ||
+ | \] | ||
+ | This definition can be extended to additive set functions taking values in [-\infty, \infty] be requiring the same identities for their [[Total variation of a measure|total variation]]. If X is locally compact, \mu is regular and it is finite on compact sets, then \mu is \sigma-additive. This theorem is called ''Aleksandrov's Theorem'' by some authors (its proof can be reduced, for instance, to the aforementioned Theorem A in Section 54 of {{Cite|Ha}}). | ||
− | + | * If X is a topological space and $\mu: \mathcal{C}\to [0, \infty]$ a [[Measure|measure]], then \mu is called (by some authors) outer (respectively inner) regular if the Borel sets belong to the [[Algebra of sets|\sigma-algebra]] \mathcal{C} and | |
− | + | \[ | |
+ | \mu (D) = \inf\;\{\mu (C) : D\subset C \mbox{ and } C \mbox{ is open}\} \qquad \forall D\in \mathcal{C} | ||
+ | \] | ||
+ | \[ | ||
+ | \left(\mbox{resp.}\qquad \mu (D) = \sup\;\{\mu (C) : C\subset D \mbox{ and } C \mbox{ is closed}\} \qquad \forall D\in \mathcal{C}\, \right). | ||
+ | \] | ||
+ | (See Section 52 in {{Cite|Ha}}). If the measure is both inner and outer regular than it is called regular. Some authors also require, additionally, that X is locally compact and \mu is finite on compact sets. Other authors use the terminology [[Radon measure]] (see for instance Definition 1.5(4) of {{Cite|Ma}}) and some others the terminology ''tight measure''. | ||
+ | Variants of these definitions apply to [[Signed measure|signed measures]] or [[Vector measure|vector measures]] \mu: in such cases the assumptions above are required to hold for the [[Total variation of a measure|total variation]] of \mu. | ||
+ | |||
+ | * If X is a topological space and $\mu:\mathcal{P} (X) \to [0, \infty]$ a [[Outer measure|outer measure]], then \mu is called Borel outer measure if the Borel sets are \mu-measurable (see [[Outer measure]] for the relevant definition) and Borel regular if, in addition, for every C\subset X there is a Borel set B with C\subset B and $\mu (B)=\mu (C)$. See for instance Section 1.1 of {{Cite|EG}}. | ||
+ | |||
+ | ==References== | ||
+ | {| | ||
+ | |- | ||
+ | |valign="top"|{{Ref|Al}}|| A.D. Aleksandrov, "Additive set-functions in abstract spaces" ''Mat. Sb.'' , '''9''' (1941) pp. 563–628 | ||
+ | |- | ||
+ | |valign="top"|{{Ref|DS}}|| N. Dunford, J.T. Schwartz, "Linear operators. General theory" , '''1''' , Interscience (1958) {{MR|0117523}} | ||
+ | |- | ||
+ | |valign="top"|{{Ref|EG}}|| L.C. Evans, R.F. Gariepy, "Measure theory and fine properties of functions" Studies in Advanced Mathematics. CRC Press, Boca Raton, FL, 1992. {{MR|1158660}} {{ZBL|0804.2800}} | ||
+ | |- | ||
+ | |valign="top"|{{Ref|Fe}}|| H. Federer, "Geometric measure theory". Volume 153 of Die Grundlehren der mathematischen Wissenschaften. Springer-Verlag New York Inc., New York, 1969. {{MR|0257325}} {{ZBL|0874.49001}} | ||
+ | |- | ||
+ | |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. Fractals and rectifiability". Cambridge Studies in Advanced Mathematics, 44. Cambridge University Press, Cambridge, 1995. {{MR|1333890}} {{ZBL|0911.28005}} | ||
+ | |- | ||
+ | |} |
Latest revision as of 09:47, 16 August 2013
2020 Mathematics Subject Classification: Primary: 28A [MSN][ZBL]
In general this terminology is used for set functions, i.e. maps \mu defined on a class \mathcal{C} of subsets of a set X and taking values in the extended real line (or, more generally, a normed vector space), with respect to which general sets in the domain of definition \mathcal{C} enjoy some suitable approximation properties with a relevant subclass of sets \mathcal{A}\subset \mathcal{C}. Such approximation properties imply usually that for a generic set C\in \mathcal{A} there is a set A\in \mathcal{A} such that |\mu (C\triangle A)| is small. Often the set X is a topological space and the class \mathcal{A} is related to the topology of X.
The precise meaning of the term depends, however, on the nature of the set function and on the author. The following are notable examples:
- If X is a locally compact topological space and \mu a set function \mu: \mathcal{C} \to [0, \infty] defined on the closed sets \mathcal{C} which is finitely additive and finite on compact sets, then \mu is called (by some authors) a regular content if
\mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} \qquad \forall D\in \mathcal{C}\, . (See for instance Section 54 of [Ha]). A regular content is countably additive (cp. with Theorem A of Section 54 in [Ha]).
- If X is a topological space and \mu a finitely additive set function \mu: \mathcal{C} \to [0, \infty] defined on a ring of sets, then \mu is called (by some authors) regular, if
\mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} = \sup\; \{\mu (C): \overline{C} \subset D\}\, . This definition can be extended to additive set functions taking values in [-\infty, \infty] be requiring the same identities for their total variation. If X is locally compact, \mu is regular and it is finite on compact sets, then \mu is \sigma-additive. This theorem is called Aleksandrov's Theorem by some authors (its proof can be reduced, for instance, to the aforementioned Theorem A in Section 54 of [Ha]).
- If X is a topological space and \mu: \mathcal{C}\to [0, \infty] a measure, then \mu is called (by some authors) outer (respectively inner) regular if the Borel sets belong to the \sigma-algebra \mathcal{C} and
\mu (D) = \inf\;\{\mu (C) : D\subset C \mbox{ and } C \mbox{ is open}\} \qquad \forall D\in \mathcal{C} \left(\mbox{resp.}\qquad \mu (D) = \sup\;\{\mu (C) : C\subset D \mbox{ and } C \mbox{ is closed}\} \qquad \forall D\in \mathcal{C}\, \right). (See Section 52 in [Ha]). If the measure is both inner and outer regular than it is called regular. Some authors also require, additionally, that X is locally compact and \mu is finite on compact sets. Other authors use the terminology Radon measure (see for instance Definition 1.5(4) of [Ma]) and some others the terminology tight measure. Variants of these definitions apply to signed measures or vector measures \mu: in such cases the assumptions above are required to hold for the total variation of \mu.
- If X is a topological space and \mu:\mathcal{P} (X) \to [0, \infty] a outer measure, then \mu is called Borel outer measure if the Borel sets are \mu-measurable (see Outer measure for the relevant definition) and Borel regular if, in addition, for every C\subset X there is a Borel set B with C\subset B and \mu (B)=\mu (C). See for instance Section 1.1 of [EG].
References
[Al] | A.D. Aleksandrov, "Additive set-functions in abstract spaces" Mat. Sb. , 9 (1941) pp. 563–628 |
[DS] | N. Dunford, J.T. Schwartz, "Linear operators. General theory" , 1 , Interscience (1958) MR0117523 |
[EG] | L.C. Evans, R.F. Gariepy, "Measure theory and fine properties of functions" Studies in Advanced Mathematics. CRC Press, Boca Raton, FL, 1992. MR1158660 Zbl 0804.2800 |
[Fe] | H. Federer, "Geometric measure theory". Volume 153 of Die Grundlehren der mathematischen Wissenschaften. Springer-Verlag New York Inc., New York, 1969. MR0257325 Zbl 0874.49001 |
[Ha] | P.R. Halmos, "Measure theory" , v. Nostrand (1950) MR0033869 Zbl 0040.16802 |
[Ma] | P. Mattila, "Geometry of sets and measures in Euclidean spaces. Fractals and rectifiability". Cambridge Studies in Advanced Mathematics, 44. Cambridge University Press, Cambridge, 1995. MR1333890 Zbl 0911.28005 |
Regular set function. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Regular_set_function&oldid=12357