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mathematics Mathematics is an area of knowledge that includes the topics of numbers, formulas and related structures, shapes and the spaces in which they are contained, and quantities and their changes. These topics are represented in modern mathematics ...
, the ba space ba(\Sigma) of an
algebra of sets In mathematics, the algebra of sets, not to be confused with the mathematical structure of ''an'' algebra of sets, defines the properties and laws of sets, the set-theoretic operations of union, intersection, and complementation and the ...
\Sigma is the
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vector ...
consisting of all bounded and finitely additive signed measures on \Sigma. The norm is defined as the variation, that is \, \nu\, =, \nu, (X). If Σ is a sigma-algebra, then the space ca(\Sigma) is defined as the subset of ba(\Sigma) consisting of countably additive measures. The notation ''ba'' is a
mnemonic A mnemonic ( ) device, or memory device, is any learning technique that aids information retention or retrieval (remembering) in the human memory for better understanding. Mnemonics make use of elaborative encoding, retrieval cues, and image ...
for ''bounded additive'' and ''ca'' is short for ''countably additive''. If ''X'' is a
topological space In mathematics, a topological space is, roughly speaking, a geometrical space in which closeness is defined but cannot necessarily be measured by a numeric distance. More specifically, a topological space is a set whose elements are called poin ...
, and Σ is the sigma-algebra of
Borel set In mathematics, a Borel set is any set in a topological space that can be formed from open sets (or, equivalently, from closed sets) through the operations of countable union, countable intersection, and relative complement. Borel sets are na ...
s in ''X'', then rca(X) is the subspace of ca(\Sigma) consisting of all regular
Borel measure In mathematics, specifically in measure theory, a Borel measure on a topological space is a measure that is defined on all open sets (and thus on all Borel sets). Some authors require additional restrictions on the measure, as described below. ...
s on ''X''.


Properties

All three spaces are complete (they are
Banach space In mathematics, more specifically in functional analysis, a Banach space (pronounced ) is a complete normed vector space. Thus, a Banach space is a vector space with a metric that allows the computation of vector length and distance between vector ...
s) with respect to the same norm defined by the total variation, and thus ca(\Sigma) is a closed subset of ba(\Sigma), and rca(X) is a closed set of ca(\Sigma) for Σ the algebra of Borel sets on ''X''. The space of simple functions on \Sigma is dense in ba(\Sigma). The ba space of the
power set In mathematics, the power set (or powerset) of a set is the set of all subsets of , including the empty set and itself. In axiomatic set theory (as developed, for example, in the ZFC axioms), the existence of the power set of any set is post ...
of the
natural number In mathematics, the natural numbers are those numbers used for counting (as in "there are ''six'' coins on the table") and ordering (as in "this is the ''third'' largest city in the country"). Numbers used for counting are called '' cardinal ...
s, ''ba''(2N), is often denoted as simply ba and is
isomorphic In mathematics, an isomorphism is a structure-preserving mapping between two structures of the same type that can be reversed by an inverse mapping. Two mathematical structures are isomorphic if an isomorphism exists between them. The word i ...
to the
dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V'', together with the vector space structure of pointwise addition and scalar multiplication by cons ...
of the space.


Dual of B(Σ)

Let B(Σ) be the space of bounded Σ-measurable functions, equipped with the
uniform norm In mathematical analysis, the uniform norm (or ) assigns to real- or complex-valued bounded functions defined on a set the non-negative number :\, f\, _\infty = \, f\, _ = \sup\left\. This norm is also called the , the , the , or, when th ...
. Then ''ba''(Σ) = B(Σ)* is the
continuous dual space In mathematics, any vector space ''V'' has a corresponding dual vector space (or just dual space for short) consisting of all linear forms on ''V'', together with the vector space structure of pointwise addition and scalar multiplication by const ...
of B(Σ). This is due to Hildebrandt and Fichtenholtz & Kantorovich. This is a kind of
Riesz representation theorem :''This article describes a theorem concerning the dual of a Hilbert space. For the theorems relating linear functionals to Measure (mathematics), measures, see Riesz–Markov–Kakutani representation theorem.'' The Riesz representation theorem, ...
which allows for a measure to be represented as a linear functional on measurable functions. In particular, this isomorphism allows one to ''define'' the
integral In mathematics, an integral assigns numbers to functions in a way that describes displacement, area, volume, and other concepts that arise by combining infinitesimal data. The process of finding integrals is called integration. Along with ...
with respect to a finitely additive measure (note that the usual Lebesgue integral requires ''countable'' additivity). This is due to Dunford & Schwartz, and is often used to define the integral with respect to vector measures, and especially vector-valued
Radon measure In mathematics (specifically in measure theory), a Radon measure, named after Johann Radon, is a measure on the σ-algebra of Borel sets of a Hausdorff topological space ''X'' that is finite on all compact sets, outer regular on all Borel ...
s. The topological duality ''ba''(Σ) = B(Σ)* is easy to see. There is an obvious ''algebraic'' duality between the vector space of ''all'' finitely additive measures σ on Σ and the vector space of simple functions (\mu(A)=\zeta\left(1_A\right)). It is easy to check that the linear form induced by σ is continuous in the sup-norm if σ is bounded, and the result follows since a linear form on the dense subspace of simple functions extends to an element of B(Σ)* if it is continuous in the sup-norm.


Dual of ''L''(''μ'')

If Σ is a sigma-algebra and ''μ'' is a
sigma-additive In mathematics, an additive set function is a function mapping sets to numbers, with the property that its value on a union of two disjoint sets equals the sum of its values on these sets, namely, \mu(A \cup B) = \mu(A) + \mu(B). If this additivit ...
positive measure on Σ then the
Lp space In mathematics, the spaces are function spaces defined using a natural generalization of the -norm for finite-dimensional vector spaces. They are sometimes called Lebesgue spaces, named after Henri Lebesgue , although according to the Bourb ...
''L''(''μ'') endowed with the essential supremum norm is by definition the quotient space of B(Σ) by the closed subspace of bounded ''μ''-null functions: :N_\mu:=\. The dual Banach space ''L''(''μ'')* is thus isomorphic to :N_\mu^\perp=\, i.e. the space of finitely additive signed measures on ''Σ'' that are
absolutely continuous In calculus, absolute continuity is a smoothness property of functions that is stronger than continuity and uniform continuity. The notion of absolute continuity allows one to obtain generalizations of the relationship between the two central ope ...
with respect to ''μ'' (''μ''-a.c. for short). When the measure space is furthermore sigma-finite then ''L''(''μ'') is in turn dual to ''L''1(''μ''), which by the Radon–Nikodym theorem is identified with the set of all countably additive ''μ''-a.c. measures. In other words, the inclusion in the bidual :L^1(\mu)\subset L^1(\mu)^=L^(\mu)^* is isomorphic to the inclusion of the space of countably additive ''μ''-a.c. bounded measures inside the space of all finitely additive ''μ''-a.c. bounded measures.


References

*


Further reading

* * {{Functional analysis Measure theory Banach spaces