Bochner integral
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In
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 Bochner integral, named for
Salomon Bochner Salomon Bochner (20 August 1899 – 2 May 1982) was an Austrian mathematician, known for work in mathematical analysis, probability theory and differential geometry. Life He was born into a Jewish family in Podgórze (near Kraków), then ...
, extends the definition of Lebesgue integral to functions that take values in a
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 ...
, as the limit of integrals of simple functions.


Definition

Let (X, \Sigma, \mu) be a
measure space A measure space is a basic object of measure theory, a branch of mathematics that studies generalized notions of volumes. It contains an underlying set, the subsets of this set that are feasible for measuring (the -algebra) and the method that ...
, and B be a
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 ...
. The Bochner integral of a function f : X \to B is defined in much the same way as the Lebesgue integral. First, define a simple function to be any finite sum of the form s(x) = \sum_^n \chi_(x) b_i where the E_i are disjoint members of the \sigma-algebra \Sigma, the b_i are distinct elements of B, and χE is the
characteristic function In mathematics, the term "characteristic function" can refer to any of several distinct concepts: * The indicator function of a subset, that is the function ::\mathbf_A\colon X \to \, :which for a given subset ''A'' of ''X'', has value 1 at points ...
of E. If \mu\left(E_i\right) is finite whenever b_i \neq 0, then the simple function is integrable, and the integral is then defined by \int_X \left sum_^n \chi_(x) b_i\right, d\mu = \sum_^n \mu(E_i) b_i exactly as it is for the ordinary Lebesgue integral. A measurable function f : X \to B is Bochner integrable if there exists a sequence of integrable simple functions s_n such that \lim_\int_X \, f-s_n\, _B\,d\mu = 0, where the integral on the left-hand side is an ordinary Lebesgue integral. In this case, the Bochner integral is defined by \int_X f\, d\mu = \lim_\int_X s_n\, d\mu. It can be shown that the sequence \left\_^ is a
Cauchy sequence In mathematics, a Cauchy sequence (; ), named after Augustin-Louis Cauchy, is a sequence whose elements become arbitrarily close to each other as the sequence progresses. More precisely, given any small positive distance, all but a finite numbe ...
in the Banach space B , hence the limit on the right exists; furthermore, the limit is independent of the approximating sequence of simple functions \_^. These remarks show that the integral is well-defined (i.e independent of any choices). It can be shown that a function is Bochner integrable if and only if it lies in the Bochner space L^1.


Properties


Elementary properties

Many of the familiar properties of the Lebesgue integral continue to hold for the Bochner integral. Particularly useful is Bochner's criterion for integrability, which states that if (X, \Sigma, \mu) is a measure space, then a Bochner-measurable function f \colon X \to B is Bochner integrable if and only if \int_X \, f\, _B\, \mathrm \mu < \infty. Here, a function f \colon X \to B is called Bochner measurable if it is equal \mu-almost everywhere to a function g taking values in a separable subspace B_0 of B, and such that the inverse image g^(U) of every open set U in B belongs to \Sigma. Equivalently, f is the limit \mu-almost everywhere of a sequence of simple functions.


Linear operators

If T \colon B \to B' is a continuous linear operator between Banach spaces B and B', and f \colon X \to B is Bochner integrable, then it is relatively straightforward to show that T f \colon X \to B' is Bochner integrable and integration and the application of T may be interchanged: \int_X T f \, \mathrm \mu = T \int_X f \, \mathrm \mu for all measurable subsets E \in \Sigma. A non-trivially stronger form of this result, known as Hille's theorem, also holds for closed operators. If T \colon B \to B' is a closed linear operator between Banach spaces B and B' and both f \colon X \to B and T f \colon X \to B' are Bochner integrable, then \int_X T f \, \mathrm \mu = T \int_X f \, \mathrm \mu for all measurable subsets E \in \Sigma.


Dominated convergence theorem

A version of the dominated convergence theorem also holds for the Bochner integral. Specifically, if f_n \colon X \to B is a sequence of measurable functions on a complete measure space tending almost everywhere to a limit function f, and if \, f_n(x)\, _B \leq g(x) for almost every x \in X, and g \in L^1(\mu), then \int_X \, f-f_n\, _B \, \mathrm \mu \to 0 as n \to \infty and \int_X f_n\, \mathrm \mu \to \int_X f \, \mathrm \mu for all E \in \Sigma. If f is Bochner integrable, then the inequality \left\, \int_E f \, \mathrm \mu\right\, _B \leq \int_E \, f\, _B \, \mathrm \mu holds for all E \in \Sigma. In particular, the set function E\mapsto \int_E f\, \mathrm \mu defines a countably-additive B-valued vector measure on X which is absolutely continuous with respect to \mu.


Radon–Nikodym property

An important fact about the Bochner integral is that the Radon–Nikodym theorem to hold in general, and instead is a property (the Radon–Nikodym property) defining an important class of nice Banach spaces. Specifically, if \mu is a measure on (X, \Sigma), then B has the Radon–Nikodym property with respect to \mu if, for every countably-additive vector measure \gamma on (X, \Sigma) with values in B which has bounded variation and is absolutely continuous with respect to \mu, there is a \mu-integrable function g : X \to B such that \gamma(E) = \int_E g\, d\mu for every measurable set E \in \Sigma. The Banach space B has the Radon–Nikodym property if B has the Radon–Nikodym property with respect to every finite measure. Equivalent formulations include: * Bounded discrete-time martingales in B converge a.s.. Thm. 2.3.6-7, conditions (1,4,10). * Functions of bounded-variation into B are differentiable a.e. * For every bounded D\subseteq B, there exists f\in B^* and \delta\in\mathbb^+ such that \\subseteq D has arbitrarily small diameter. It is known that the space \ell_1 has the Radon–Nikodym property, but c_0 and the spaces L^(\Omega), L^1(\Omega), for \Omega an open bounded subset of \R^n, and C(K), for K an infinite compact space, do not.. Spaces with Radon–Nikodym property include separable dual spaces (this is the Dunford–Pettis theorem) and
reflexive space In the area of mathematics known as functional analysis, a reflexive space is a locally convex topological vector space (TVS) for which the canonical evaluation map from X into its bidual (which is the strong dual of the strong dual of X) is an i ...
s, which include, in particular,
Hilbert space In mathematics, Hilbert spaces (named after David Hilbert) allow generalizing the methods of linear algebra and calculus from (finite-dimensional) Euclidean vector spaces to spaces that may be infinite-dimensional. Hilbert spaces arise natural ...
s.


See also

* * * * *


References

* * * * * * * * * * {{Analysis in topological vector spaces Definitions of mathematical integration Integral representations Topological vector spaces