Symmetric decreasing rearrangement explained
In mathematics, the symmetric decreasing rearrangement of a function is a function which is symmetric and decreasing, and whose level sets are of the same size as those of the original function.[1]
Definition for sets
Given a measurable set,
in
one defines the
symmetric rearrangement of
called
as the ball centered at the origin, whose volume (
Lebesgue measure) is the same as that of the set
An equivalent definition iswhere
is the volume of the
unit ball and where
is the volume of
Definition for functions
The rearrangement of a non-negative, measurable real-valued function
whose level sets
(for
) have finite measure is
where
denotes the
indicator function of the set
In words, the value of
gives the height
for which the radius of the symmetricrearrangement of
is equal to
We have the following motivation for this definition. Because the identity
holds for any non-negative function
the above definition is the unique definition that forces the identity
to hold.
Properties
The function
is a symmetric and decreasing function whose level sets have the same measure as the level sets of
that is,
If
is a function in
then
The Hardy–Littlewood inequality holds, that is,
Further, the Pólya–Szegő inequality holds. This says that if
and if
then
The symmetric decreasing rearrangement is order preserving and decreases
distance, that is,
and
Applications
The Pólya - Szegő inequality yields, in the limit case, with
the
isoperimetric inequality. Also, one can use some relations with harmonic functions to prove the
Rayleigh–Faber–Krahn inequality.
Nonsymmetric decreasing rearrangement
We can also define
as a function on the nonnegative real numbers rather than on all of
[2] Let
be a
σ-finite measure space, and let
be a
measurable function that takes only finite (that is, real) values
μ-a.e. (where "
-a.e." means except possibly on a set of
-measure zero). We define the
distribution function \muf:[0,infty]\to[0,infty]
by the rule
We can now define the
decreasing rearrangment (or, sometimes,
nonincreasing rearrangement) of
as the function
by the rule
Note that this version of the decreasing rearrangement is not symmetric, as it is only defined on the nonnegative real numbers. However, it inherits many of the same properties listed above as the symmetric version, namely:
and
are
equimeasurable, that is, they have the same distribution function.
- The Hardy-Littlewood inequality holds, that is,
\intE|fg| d\mu\leq\int
f*(t)g*(t) dt.
\vertf\vert\leq\vertg\vert
-a.e. implies
for all real numbers
for all
-a.e. implies
\left(\vertf\vertp\right)*=(f*)p
for all positive real numbers
for all positive real numbers
The (nonsymmetric) decreasing rearrangement function arises often in the theory of rearrangement-invariant Banach function spaces. Especially important is the following:
Luxemburg Representation Theorem. Let
be a rearrangement-invariant Banach function norm over a resonant measure space
Then there exists a (possibly not unique) rearrangement-invariant function norm
on
such that
\rho(f)=\overline{\rho}(f*)
for all nonnegative measurable functions
which are finite-valued
-a.e.Note that the definitions of all the terminology in the above theorem (that is, Banach function norms, rearrangement-invariant Banach function spaces, and resonant measure spaces) can be found in sections 1 and 2 of Bennett and Sharpley's book (cf. the references below).
Notes and References
- Book: Lieb. Elliott. Elliott H. Lieb. Loss. Michael. Michael Loss. Analysis. 2001. 2nd. American Mathematical Society. Graduate Studies in Mathematics. 14. 978-0821827833.
- Book: Bennett. Colin. Sharpley. Robert. Interpolation of Operators. 1988. 978-0-120-88730-9.