An -space on a measure
space
, for a real number
with
,
consists of equivalence classes of measurable
functions
, where
or
, whose
th powers of absolute
values are integrable. Two functions
are identified when they agree almost everywhere
with respect to
(Axler 2026, pp. 202-203). This generalizes the L2-space
of square integrable functions.
The norm is
|
(1)
|
The -space is a Banach
space (Axler 2026, p. 205). For
, its norm
does not arise from an inner product when the measure space contains two disjoint
sets of finite positive measure.
A one-point measure space
whose point has finite positive measure instead gives a one-dimensional Hilbert
space for every such
.
The -space on
with Lebesgue measure
is the completion of the continuous
functions with compact support using the
norm. It
is possible for a sequence of functions
to converge
in
but not in
for some other
. For example,
converges
in
to
,
which is not in
. Although every
is in
, the sequence
cannot converge there. If a sequence converges in both
and
on the same measure space, its limits
agree almost everywhere (Axler 2026, p. 205).
For , the dual
normed space to
is identified with
, where
.
More precisely, every bounded linear
functional is uniquely of the form
|
(2)
|
where and
(Axler 2026, p. 275). The integral
exists by Hölder's inequality. In particular,
is self-dual.
For complex functions, the inner
product form
of this identification is antilinear (Axler 2026,
pp. 233-234). On degenerate measure spaces,
other
-spaces can also be self-dual,
as in the one-dimensional example above.
While the use of functions is not as common as
,
they are very important in analysis and partial
differential equations. For instance, some operators
are only bounded in
for some
.
For , the same integrability condition and integral
expression define an
quasi-norm, which in general need not satisfy the triangle inequality. For any
,
the weak
space consists of measurable functions with
|
(3)
|
This is a quasi-norm, and is contained in weak
(Grafakos 2014, pp. 2-6). The distinction is important
for endpoint bounds such as that for the bilinear
Hilbert transform.