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:
\[ \mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} \qquad \forall D\in \mathcal{C}\, . \] (See for instance Section 54 of [Ha]). A regular content is countably additive (cp. with Theorem A of Section 54 in [Ha]).
\[ \mu (D) = \inf\; \{ \mu (C): D\subset {\rm int}\, (C)\} = \sup\; \{\mu (C): \overline{C} \subset D\}\, . \] 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]).
\[ \mu (D) = \inf\;\{\mu (C) : D\subset C \mbox{ and } C \mbox{ is open}\} \qquad \forall D\in \mathcal{C} \] \[ \left(\mbox{resp.}\qquad \mu (D) = \sup\;\{\mu (C) : C\subset D \mbox{ and } C \mbox{ is closed}\} \qquad \forall D\in \mathcal{C}\, \right). \] (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 $\mu$.
[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 |