1. Introduction
The theory of distributions is a powerful analytical framework whose effectiveness is significantly enhanced when combined with Fourier analysis. One of its principal applications is in the study of partial differential equations, and more specifically, in the search for fundamental solutions.
The structure theorem for tempered distributions states that any
can be expressed as a finite linear combination of derivatives of smooth functions with, at most, polynomial growth:
This representation ensures that the Fourier transform of
T is well-defined in
, and enables the use of Fourier analytic techniques for solving partial differential equations.
In this work, we derive an explicit expression for the distributional Fourier transform of elements in the Horváth space , with and , as a finite sum of classical Fourier transforms of continuous functions in , each multiplied by a monomial. To achieve this, we first establish a structural representation for elements of as finite sums of derivatives of continuous -functions, acting on test functions in the Schwartz space . This provides a more refined understanding of the internal structure of the space .
We also establish a representation, on the Schwartz space , for the convolution of two elements in the Horváth space , with and .
Structure theorems for distributions in general, and for tempered distributions in particular, have been the subject of extensive research due to their usefulness in solving partial differential equations. In this context, it is worth highlighting the following results [
1,
2,
3,
4,
5,
6,
7], among others.
2. Notation and Preliminary Results
Throughout this paper, we adopt the following standard notations.
Let
denote a point in Euclidean space, and let
be a multi-index, that is, an
n-tuple whose components are natural numbers. The
order of
p is defined by
For any such multi-index, we define the monomial and factorial as:
We denote by
the partial derivative with respect to
, i.e.,
, for
. Given
, we write:
where
denotes both the total order of the multi-index and of the corresponding derivative operator.
Let
be fixed. We denote by
the space of all complex-valued functions
that are infinitely differentiable and satisfy the following decay condition: for every multi-index
and for every
, there exists a constant
such that
The topology on
is generated by the countable family of seminorms
, where
Endowed with this topology, becomes a complete locally convex space.
Moreover, the classical space of test functions
is dense in
; see ([
8] p. 419). As it is usual,
denotes the vector space of all functions defined on
, and whose partial derivatives of all orders exist and are continuous, and whose support is contained in some compact subset of
.
According to ([
8], Proposition 2, p. 97), for every
, there exist constants
and an integer
, depending on
f, such that
where
is the total order of the multi-index
.
The smallest such integer
m for which inequality (
3) holds is called the
order of the distribution
f; see ([
9], Théorème XXIV, p. 88).
For
,
, one has that for each
the function
is a member of the space
. Thereby, it was proved in ([
10], Theorem 2.1) that the function
represents the usual distributional Fourier transform ([
9] Chap. 7, §6, p. 248) of
when it acts over functions on
, namely
where
The space
of Schwartz test functions on
consists of all complex-valued functions
that, along with all their partial derivatives, decay at infinity faster than the reciprocal of any polynomial. More precisely, a function
belongs to
if for every pair of multi-indices
, the following supremum is finite:
This condition implies that both the function and all its derivatives vanish infinity faster than any inverse power of , making a natural space for Fourier analysis and distribution theory.
The topology of
is defined by the countable family of seminorms:
The space
is equipped with the locally convex topology defined by the family
of seminorms, where
is defined by (
4),
and
running through
.
Another equivalent family of seminorms on
is given by
where
and
.
The importance of the class is due to the following result, where we use the notation , , , and .
Then, the Schwartz space is given by the intersection:
3. A Representation of the Fourier Transform over
The following Lemma gives structures for members of , . In this context, the functional is expressed as a finite sum of derivatives of continuous functions that exhibit specific growth properties. This formulation is essential for the results that we will present in this paper regarding the distributional Fourier transform.
Lemma 1. Let , and of order m, then there exist continuous functions, such thatwhere , for all , being and . Proof. Using the techniques of Trèves ([
11], p. 272), it was proved in ([
12], Lemma, p. 364) that there exists
and
measurable functions, such that for all
,
, one has
and
If one analyzes the proof of ([
12], Lemma, p. 364) one observes that
.
Now, for all
with
and all
set
Note that
, and so
. Thus,
are continuous functions on
. Moreover, for
, one has
Clearly
for all
and
with
.
From ([
11], Eq. (24.2), p. 260), one obtains that
Furthermore, from ([
8], Eq. (3), p. 102) and all
, it follows
where
are suitable real constants.
Thus, we have
which yields
where
for
, whenever
,
and
, and
otherwise.
From the estimation (
7) and taking into account that
, for all
,
, one obtains the bound
, for all
, being
and
. □
The next theorem is the main result of this paper. Taking into account that the above functions possess classical Fourier transforms, it establishes the representation of the distributional Fourier transform in terms of classical Fourier transforms.
Theorem 1. Let of order m with , . Then,where the symbol ^ denotes the classical Fourier transform, i.e.,andwhere are given by the above Lemma 1. Proof. First note that
exits since
, for all
and
. In fact, for all
Observe that for the case when
, the integral
converges for
For the case when
and making the change to polar coordinates, one has
which converges for
For the case when
and making the change to sspherical coordinates, one has
which converges for
Thus, in all the cases, the integral converges for
Now, by Theorem 2.1 in [
10], the equality
holds for all
.
Next, denoting by
, one obtains
Thus, using this fact and the equality (
10), one has
for all
.
Finally, since
and
are continuous functions (see [
10], Proposition 2.1 and [
4], Theorem 9.6, p. 182, respectively), the use of (
11) and ([
4], Theorem 1.39, p. 30), yields to the next equality
□
In Proposition 2.1 of [
13], it was proved that for
f being a measurable function defined on
, such that
is integrable on
for some
,
, then the linear functional
over
, given by
is a member of
of order zero. Moreover, the distributional Fourier transform of
agrees with the classical Fourier transform of the function
f.
Then, according to this result and Theorem 1 above, one obtains
Corollary 1. Let f be a measurable function defined on such that be integrable on . Assume that . Then,where the symbol ^ denotes the classical Fourier transform (9) andwith given by the above Lemma 1. 4. A Representation of the Fourier Convolution over
The Fourier convolution
of two members
,
,
, is the member of
given in [
14] by means of
Denoting
,
,
,
,
, one obtains from ([
10], Proposition 4.1)
Now, using the inversion formula obtained in ([
15], Theorem 2.2), one has
Now, from (
12) and using Theorem 1 above, one arrives at the next representation for the convolution
.
Proposition 1. Let , , , of order and , respectively, thenwhere the symbol ^ denotes the classical Fourier transform and whereandwith and given by the above Lemma 1. Observe that from ([
16], Proposition 4), one has that for
f and
g being measurable functions on
such that
and
are Lebesgue integrable on
for some
,
, then
where
denotes the classical convolution of the functions
f and
g.
Now, taking into account that and have order zero, then from Proposition 1, one obtains the next result.
Corollary 2. Let f and g be measurable functions on , such that and are Lebesgue integrable over for some with , thenwhere denotes the classical convolution of functions f and g, symbol ^ denotes the classical Fourier transform, and whereandwith and given by the above Lemma 1. Remark 1. Observe that from ([15], Corollary 2.4) and for , such that , , where , the representations (13) and (14) become, respectively,andwhere is the n-cube , Remark 2. According to [17,18], we consider linear partial differential equations with constant coefficients aswhere, as it is usual, P is a complex-valued polynomial in and denotes the corresponding polynomial differential operator given byand ν is a member of , . Observe that, sincewhere δ denotes the Dirac delta distribution, then Equation (15) can be written as a convolution equation. Sinceand using ([15], Corollary 2.5), then if P has no zeros of type , where , then there exists a unique solution of the Equation (15). Also, one obtains the next representation over :Now, using Theorem 1 above, and , then we obtain the next representation of u:where m denotes the order of ν, and the symbol ^ denotes the classical Fourier transform, i.e.,andwhere the are given by the above Lemma 1. Using again ([
15], Corollary 2.5), the considerations in Remark 2 can be extended to convolution equations on
,
,
. Indeed, let
,
,
, and assume that
has no zeros in
. Suppose that
and there exists a polynomial
P, such that
Then, the convolution equation
has a unique solution
, and this solution has the next representation over
:
where
m denotes the order of
, the symbol
^ denotes the classical Fourier transform, and
where the
are given by the above Lemma 1.