Bochner integral explained

In mathematics, the Bochner integral, named for Salomon Bochner, extends the definition of Lebesgue integral to functions that take values in a Banach space, as the limit of integrals of simple functions.

Definition

Let

(X,\Sigma,\mu)

be a measure space, and

B

be a Banach space. The Bochner integral of a function

f:X\toB

is defined in much the same way as the Lebesgue integral. First, define a simple function to be any finite sum of the forms(x) = \sum_^n \chi_(x) b_i,where the

Ei

are disjoint members of the

\sigma

-algebra

\Sigma,

the

bi

are distinct elements of

B,

and χE is the characteristic function of

E.

If

\mu\left(Ei\right)

is finite whenever

bi0,

then the simple function is integrable, and the integral is then defined by\int_X \left[\sum_{i=1}^n \chi_{E_i}(x) b_i\right]\, d\mu = \sum_^n \mu(E_i) b_iexactly as it is for the ordinary Lebesgue integral.

A measurable function

f:X\toB

is Bochner integrable if there exists a sequence of integrable simple functions

sn

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\{\intXsnd\mu

infty
\right\}
n=1

is a Cauchy sequence in the Banach space

B,

hence the limit on the right exists; furthermore, the limit is independent of the approximating sequence of simple functions

\{sn\}

infty
n=1

.

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

L1.

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\colonX\toB

is Bochner integrable if and only if\int_X \|f\|_B\, \mathrm \mu < \infty.

Here, a function

f\colonX\toB

 is called Bochner measurable if it is equal

\mu

-almost everywhere to a function

g

taking values in a separable subspace

B0

of

B

, and such that the inverse image

g-1(U)

of every open set

U

 in

B

 belongs to

\Sigma

. Equivalently,

f

is the limit

\mu

-almost everywhere of a sequence of countably-valued simple functions.

Linear operators

If

T\colonB\toB'

is a continuous linear operator between Banach spaces

B

and

B'

, and

f\colonX\toB

is Bochner integrable, then it is relatively straightforward to show that

Tf\colonX\toB'

is Bochner integrable and integration and the application of

T

may be interchanged:\int_E T f \, \mathrm \mu = T \int_E f \, \mathrm \mufor all measurable subsets

E\in\Sigma

.

A non-trivially stronger form of this result, known as Hille's theorem, also holds for closed operators.[1] If

T\colonB\toB'

is a closed linear operator between Banach spaces

B

and

B'

and both

f\colonX\toB

and

Tf\colonX\toB'

are Bochner integrable, then\int_E T f \, \mathrm \mu = T \int_E f \, \mathrm \mufor all measurable subsets

E\in\Sigma

.

Dominated convergence theorem

A version of the dominated convergence theorem also holds for the Bochner integral. Specifically, if

fn\colonX\toB

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\inX

, and

g\inL1(\mu)

, then\int_E \|f-f_n\|_B \, \mathrm \mu \to 0as

n\toinfty

and\int_E f_n\, \mathrm \mu \to \int_E f \, \mathrm \mufor 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 \muholds for all

E\in\Sigma.

In particular, the set functionE\mapsto \int_E f\, \mathrm \mudefines 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\toB

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.[2] Equivalent formulations include:

B

converge a.s.[3]

B

are differentiable a.e.[4]

D\subseteqB

, there exists

f\inB*

and

\delta\inR+

such that \\subseteq D has arbitrarily small diameter.

It is known that the space

\ell1

has the Radon–Nikodym property, but

c0

and the spaces

Linfty(\Omega),

L1(\Omega),

for

\Omega

an open bounded subset of

\Rn,

and

C(K),

for

K

an infinite compact space, do not.[5] Spaces with Radon–Nikodym property include separable dual spaces (this is the Dunford–Pettis theorem)August 2022. and reflexive spaces, which include, in particular, Hilbert spaces.

References

Notes and References

  1. Book: Diestel. Joseph. Uhl, Jr.. John Jerry. Vector Measures. American Mathematical Society. Mathematical Surveys. 15. 1977. 10.1090/surv/015. (See Theorem II.2.6)
  2. The Radon–Nikodym Theorem for Reflexive Banach Spaces. Diómedes. Bárcenas. Divulgaciones Matemáticas. 11. 1. 2003. 55–59 [pp. 55–56].
  3. . Thm. 2.3.6-7, conditions (1,4,10).
  4. . "Early workers in this field were concerned with the Banach space property that each -valued function of bounded variation on be differentiable almost surely. It turns out that this property (known as the Gelfand-Fréchet property) is also equivalent to the RNP [Radon-Nikodym Property]."
  5. .