In mathematics, the ba space
ba(\Sigma)
\Sigma
\Sigma
\|\nu\|=|\nu|(X).
If Σ is a sigma-algebra, then the space
ca(\Sigma)
ba(\Sigma)
If X is a topological space, and Σ is the sigma-algebra of Borel sets in X, then
rca(X)
ca(\Sigma)
All three spaces are complete (they are Banach spaces) with respect to the same norm defined by the total variation, and thus
ca(\Sigma)
ba(\Sigma)
rca(X)
ca(\Sigma)
\Sigma
ba(\Sigma)
The ba space of the power set of the natural numbers, ba(2N), is often denoted as simply
ba
Let B(Σ) be the space of bounded Σ-measurable functions, equipped with the uniform norm. Then ba(Σ) = B(Σ)* is the continuous dual space of B(Σ). This is due to Hildebrandt and Fichtenholtz & Kantorovich. This is a kind of 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 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 measures.
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(1A\right)
If Σ is a sigma-algebra and μ is a sigma-additive positive measure on Σ then the Lp space 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:=\{f\inB(\Sigma):f=0 \mu-almosteverywhere\}.
\perp=\{\sigma\in | |
N | |
\mu |
ba(\Sigma):\mu(A)=0 ⇒ \sigma(A)=0foranyA\in\Sigma\},
When the measure space is furthermore sigma-finite then L∞(μ) is in turn dual to L1(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
L1(\mu)\subsetL1(\mu)**=Linfty(\mu)*