Abstract
The study of superoscillations naturally leads to the analysis of a large class of convolution operators acting on spaces of entire functions. In particular, the key point is often the proof of the continuity of these operators on appropriate spaces. Most papers in the current literature utilize abstract methods from functional analysis to establish such continuity. In this paper, on the other hand, we rely on some recent advances in the study of entire functions, to offer explicit proofs of the continuity of such operators. To demonstrate the applicability and the flexibility of these explicit methods, we will use them to study the important case of superoscillations associated with quadratic Hamiltonians. The paper also contains a list of interesting open problems, and we have collected as well, for the convenience of the reader, some well-known results, and their proofs, on Gamma and Mittag–Leffler functions that are often used in our computations.
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1 Introduction
The notion of superoscillatory behavior first appears in a series of works of Aharonov and Berry, see [1, 12, 13, 18,19,20]. In this context, there are good physical reasons for such a behavior, but the discoverers pointed out the apparently paradoxical nature of such functions, thus opening the way for a more thorough mathematical analysis of the phenomenon. In the last years, superoscillations have been systematically studied also from the mathematical point of view, see [2,3,4,5,6,7,8, 11, 22] and the monograph [9].
The classical example of superoscillatory function is the following: let \(a>1\) be a real number, we define the sequence of complex valued functions \(F_n(x,a)\) defined on \(\mathbb {R}\) by
where
and \({n\atopwithdelims ()k}\) denotes the binomial coefficients. The first thing one notices is that if we fix \(x \in \mathbb {R}\), and we let n go to infinity, we immediately obtain that
Moreover, it is not difficult to see that such convergence is uniform on all compact sets in \(\mathbb {R}\) but it is not uniform on all of \(\mathbb {R}\), see [3]. The representation in terms of \(\mathrm{e}^{i(1-2k/n){x}}\), together with the calculation of the limit of \(F_n(x,a)\) when n goes to infinity, explains why such a sequence is called superoscillatory.
There are several mathematical problems associated with superoscillations and the list, far from being complete, is as follows:
-
(I)
Since superoscillations arise naturally in the context of quantum mechanics, it is important to study the evolution of superoscillatory functions under Schrödinger equation with different potential.
-
(II)
The creation of larger classes of superoscillating functions that extend the fundamental example we described above.
-
(III)
The study of superoscillatory functions in several variable.
-
(IV)
The approximation of the Schwartz test functions and distributions by bounded limited functions associated with superoscillations.
-
(IV)
The approximation of Sato’s hyperfunctions by bounded limited functions associated with superoscillations.
-
(V)
The approximation of fractal functions by superoscillations.
The above problems have been under investigations by several authors so that the theory of superoscillations has now become also a mathematical theory.
A common denominator of the above-mentioned problems is that their understanding always relies on the study of the continuity of classes of convolution operators, which appear naturally in connection with the superoscillating functions. These convolution operators mostly operate on spaces of entire functions with growth conditions, to which we will dedicate the next section.
To be more precise, the study of the evolution of superoscillations requires to determine the continuity of operators like
where \(\lambda (t)\) is a given bounded function for the parameter \(t\in [0,T]\), and p is a natural number. We will consider these operators as acting on the analytic extension to \(\mathbb {C}\) of the functions \(F_n(x,a)\).
For historical reasons, the continuity of such convolution operators has been deduced by the theory of the Fourier transform. It turned out that in several cases it is necessary to study convolution operator with coefficients that depend also on the variable \(z\in \mathbb {C}\) so we had to study operators of the form
where \(\{a_n(t,z)\}_{n\in \mathbb {N}_0}\) are entire functions in z depending on the parameter \(t\in [0,T]\). In this case, we found useful to develop a more direct method that avoids the use of the Fourier transform but uses just the theory of holomorphic functions. This fact has reduced enormously the theoretical tools also for the case of constant coefficients convolution operators that can now be more accessible to audience of non-specialists. For this reason, we compute explicitly a couple of examples to show how these techniques work. Precisely, we show explicitly the continuity of the operators \( P_\lambda (t,\partial _z) \) defined above and of the operator
that appears in the evolution of superoscillations in uniform electric field. We conclude this introduction with some bibliographical remarks on recent applications of this theory to different potentials: while the historical development is described in [15], we refer the reader to [22] for the evolution of superoscillations in magnetic field and to [23] for the case of the centrifugal potential. As far as the relations between superoscillations and theory of distributions and hyperfunctions is concerned, the most recent progress is obtained in [24, 25]. Finally, an historical introduction to superoscillatory function theory is given in [14].
2 Continuity of the convolution operator \(P_\lambda (t,\partial _z)\)
Let f be a non-constant entire function of a complex variable z. We define
The non-negative real number \(\rho \) defined by
is called the order of f. If \(\rho \) is finite then f is said to be of finite order and if \(\rho =\infty \) the function f is said to be of infinite order.
In the case f is of finite order we define the non-negative real number
which is called the type of f. If \(\sigma \in (0,\infty )\) we call f of normal type, while we say that f is of minimal type if \(\sigma =0\) and of maximal type if \(\sigma =\infty \).
Definition 2.1
Let p be a positive number. We define the class \(A_1\) to be the set of entire functions such that there exists \(C>0\) and \(B>0\) for which
To prove our main results we need an important lemma that characterizes the coefficients of entire functions with growth conditions.
Lemma 2.2
The function
belongs to \(A_1\) if and only if there exists \(C_f>0\) and \(b>0\) such that
Lemma 2.2 has been proved in [16] and is a crucial fact in what follows.
We now study, for \(p\in \mathbb {N}\), the following operator:
where \(\lambda (t)\) is a complex valued bounded function for \(t\in [0,T] \) for some \(T\in (0,\infty )\) on the space of entire functions of exponential type. The main result is the following theorem.
Theorem 2.3
Let \(\lambda (t)\) be a bounded function for \(t\in [0,T] \) for some \(T\in (0,\infty )\) and let \(f\in A_1\). Then, for \(p\in \mathbb {N}\), we have \(P_\lambda (t,\partial _z)f\in A_1\) and \(P_\lambda (t,\partial _z)\) is continuous on \(A_1\), that is \(P_\lambda (t,\partial _z)f\rightarrow 0\) as \(f\rightarrow 0\).
Proof
Let us consider
and now we take the modulus
and using Lemma 2.2 on the coefficients \(f_{pn+k}\) we have the estimate
and using the gamma function estimate, see the Appendix,
we also have
so we get
We now use the estimate, see the Appendix,
to separate the two series, so we have
and so
Now observe that the series in k satisfies the estimate
because of the properties of the Mittag–Lefler function, see the Appendix, for some constant \(C>0\). Now we have to show that the series in n is convergent. In fact, we have that the series
has positive terms, so we study the asymptotic behavior. Set
and recall the duplication formula for the Gamma function
we set
from the functional equation of the gamma function \(z\Gamma (z)=\Gamma (z+1)\) we also have
and so
and using the Stirling formula \( m!\thicksim \sqrt{2\pi m}(m/e)^m \) we get
so the series is convergent. So we set
and we obtain the estimate
This tells that \(P_\lambda (t,\partial _z)\) takes \(A_1\) into \(A_1\) and the continuity follows from the fact that for \(C_f\rightarrow 0\) we have \( |P_\lambda (t,\partial _z)f(z)|\rightarrow 0\). \(\square \)
2.1 Some applications
-
(I)
In the case of the harmonic oscillator we have to study the continuity of the operator
$$\begin{aligned} U(t, \partial _z):=\sum _{n=0}^\infty \frac{1}{n!}\left( \frac{i}{2}\sin t\cos t\right) ^n \frac{\partial ^{2n}}{\partial z^{2n}}, \end{aligned}$$(3)so the above results apply for \(p=2\) and \(\lambda (t)=\frac{i}{2}\sin t\cos t\).
-
(II)
Another example with time-depending coefficients is the following Cauchy problem:
$$\begin{aligned} i^{m-1}\frac{\partial }{\partial t}\psi (x,t)=\lambda '(t)\frac{\partial ^m}{\partial x^m}\psi (x,t), \quad \psi (x,0)=F_n(x,a) \end{aligned}$$where \(\lambda (0)=0\) and \(\lambda \in C^1\), using the Fourier transform method we can find the solution that is given by
$$\begin{aligned} \psi _n(x,t) =\sum _{k=0}^nC_k(n,a)\mathrm{e}^{ix(1-2k/n)}\mathrm{e}^{i\lambda (t)(1-2k/n)}. \end{aligned}$$The solution can be written as
$$\begin{aligned} \psi _n(z,t)=U(t,\partial _z)F_n(z,a) \end{aligned}$$where
$$\begin{aligned} U(t,\partial _z)=\sum _{\ell =0}^\infty \frac{(i\lambda (t))^\ell }{\ell !}\partial _z^{m\ell }. \end{aligned}$$
3 The case of the operator of the electric field
In the paper [10], we have considered the evolution of superoscillations and as a corollary of Theorem 3.6 in [10] we have the following known result:
Corollary 3.1
Let \(a>1\). Then the solution of the Cauchy problem
is given by
Moreover,
To show the last part of the above theorem, that is, to compute the limit
one has to write the solution (5) in terms of convolution operators. Indeed, considering the series expansion
we observe that the functions
can be written in the following way:
(when passing to the complex variable z). Thus, the solution becomes
The aim of this section is to give a direct proof of the continuity of the operator U.
Theorem 3.2
The operator
acts continuously from \(A_1\) into itself.
Proof
We have
and
With similar computations, as we did in Theorem 2.3, we get
and, therefore,
Now we observe thanks to the duplication formula
and the functional equation of the gamma function \(z\Gamma (z)=\Gamma (z+1)\)
which gives
but since
we get
So the estimate of the operator becomes
and since, see the Appendix,
we have
but
we finally get
and so we get the statement. \(\square \)
The above proof can be adapted to more general problems like the case when we have the fourth-order operator as in the following example, already considered in [10].
Let \(a>1\), then the solution of the Cauchy problem
is given by
Moreover, we have
4 Some open problems on superoscillations
4.1 Approximations of the Weierstrass function
This problem is suggested by a paper of Berry and Morly-Short [17], where they propose to study the representation of fractal function by band-limited sequences of superoscillatory functions. We consider the Weierstrass fractal function
where \(\gamma >1\) and \(D\in (1,2)\) is the fractal dimension of the graph of the function W. We will use the superoscillatory function \(F_n(x,a)n\) to approximate the function W. We recall that uniformly on the compact sets of \(\mathbb {R}\) we have
By the Euler identity we have that
so we consider the following problem.
Problem 4.1
For \(\gamma >1\) and \(D\in (1,2)\), approximate uniformly on the compact sets of \(\mathbb {R}\) the function
by the band-limited sequence.
We observe that
but as we will show in the next few lines, one cannot directly exchange the series and the limit. Indeed observe that
and also
So we obtain
where we set
so we have to compute
Since
we have
and one immediately sees that the series
diverges. But we observe that with the new representation
the series
converges. The problem is to see if it converges to the Weierstrass fractal function.
4.2 The case of continuous \(F_n(x,a)\)
Another interesting problem is to replace the discrete sequence \(F_n(x,a)\) by its continuous counterpart that is obtained by replacing the index n with a continuous variable u. In this case, the expression for \(F_n\) becomes
where
and one would want to study the properties of this family of functions in the same spirit as what has been done so far.
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Appendix
Appendix
We state in this section some well-known results on the gamma function and the Mittag–Leffler functions that we have used in the proofs.
Lemma 5.1
Let j, \(k\in \mathbb {N}\), then we have
Proof
Let \(p\atopwithdelims ()j\) be the binomial coefficients, then it is well known that from the Newton binomial formula, we have
so
and setting \(p-j=k\) we get the statement. \(\square \)
Lemma 5.2
Let n, \(k\in \mathbb {N}\), then we have
Proof
Let
be the beta function B. Its relation with the gamma function \(\Gamma \) is given by
This can be shown in two steps. First, with the change of variable \(t=\cos ^2(\vartheta )\) the beta function can be written as
Second, we observe that
and with the change of variables
the previous formula becomes
By setting \(r^2=u\) in the above relation we obtain
Finally, we observe that
since, for \(t\in [0,1]\) it is \(t^{n}(1-t)^{k}\le 1\), and this ends the proof. \(\square \)
We conclude with a useful estimate that we have not used in this paper, but it enters into several problems in convolution operators associated with superoscillations.
Lemma 5.3
Let \(q\in [1,\infty )\). Then we have
Proof
It is a direct consequence of Hölder inequality. Consider p and q such that \(1/p+1/q=1\), observe that
so we obtain
\(\square \)
1.1 On the Mittag–Leffler function
The Mittag–Leffler function is defined by its power series
The series converges in the whole complex plane for all \(\alpha \in \mathbb {C},\ \mathrm{Re}(\alpha )>0\). For all \(\mathrm{Re}(\alpha )<0\) it diverges everywhere on \(\mathbb {C}\setminus \{0\}\). For \(\mathrm{Re}(\alpha )=0\) the radius of convergence is \(R=\mathrm{e}^{\pi |Im(\alpha )|/2}\). The most interesting fact is that for \(\mathrm{Re}(\alpha )>0\) the Mittag–Leffler function is an entire function of finite order. Indeed using Stirling’s asymptotic formula
so that for
for \(\alpha >0\) we have
and
This means that:
for each \(\alpha \in \mathbb {C}\) such that \(Re(\alpha )>0\) the Mittag–Leffler function is an entire function of order \(\rho =1/Re(\alpha )\) and of type \(\sigma =1\).
This function provides a generalization of the exponential function because we replace \(k!=\Gamma (k+1)\) by \((\alpha k)!=\Gamma (\alpha k+1)\) in the denominator of the power terms of the exponential series. A useful generalization that we have used in the computations of this paper is the two-parametric Mittag–Leffler function
The function \(E_{\alpha ,\beta }(z)\) for \( \alpha ,\ \beta \in \mathbb {C}\) and \(Re(\alpha )>0\) is an entire function of \(\rho =1/\mathrm{Re}(\alpha )\) and of type \(\sigma =1\) for every \(\beta \in \mathbb {C}\).
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Aoki, T., Colombo, F., Sabadini, I. et al. Continuity of some operators arising in the theory of superoscillations. Quantum Stud.: Math. Found. 5, 463–476 (2018). https://doi.org/10.1007/s40509-018-0159-9
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DOI: https://doi.org/10.1007/s40509-018-0159-9