Open Access

Maximal Regularity of the Discrete Harmonic Oscillator Equation

Advances in Difference Equations20092009:290625

DOI: 10.1155/2009/290625

Received: 31 October 2008

Accepted: 9 February 2009

Published: 8 March 2009


We give a representation of the solution for the best approximation of the harmonic oscillator equation formulated in a general Banach space setting, and a characterization of -maximal regularity—or well posedness—solely in terms of -boundedness properties of the resolvent operator involved in the equation.

1. Introduction

In numerical integration of a differential equation, a standard approach is to replace it by a suitable difference equation whose solution can be obtained in a stable manner and without troubles from round off errors. However, often the qualitative properties of the solutions of the difference equation are quite different from the solutions of the corresponding differential equations.

For a given differential equation, a difference equation approximation is called best if the solution of the difference equation exactly coincides with solutions of the corresponding differential equation evaluated at a discrete sequence of points. Best approximations are not unique (cf. [1, Section 3.6]).

In the recent paper [2] (see also [1]), various discretizations of the harmonic oscillator equation are compared. A best approximation is given by

where denotes the forward difference operator of the first order, that is, for each and On the other hand, in the article [3], a characterization of -maximal regularity for a discrete second-order equation in Banach spaces was studied, but without taking into account the best approximation character of the equation. From an applied perspective, the techniques used in [3] are interesting when applied to concrete difference equations, but additional difficulties appear, because among other things, we need to get explicit formulas for the solution of the equation to be studied.

We study in this paper the discrete second-order equation

on complex Banach spaces, where . Of course, in the finite-dimensional setting, (1.2) includes systems of linear difference equations, but the most interesting application concerns with partial difference equations. In fact, the homogeneous equation associated to (1.2) corresponds to the best discretization of the wave equation (cf. [1, Section 3.14]).

We prove that well posedness, that is, maximal regularity of (1.2) in vector-valued spaces, is characterized on Banach spaces having the unconditional martingale difference property ( see, e.g., [4]) by the -boundedness of the set

The general framework for the proof of our statement uses a new approach based on operator-valued Fourier multipliers. In the continuous time setting, the relation between operator-valued Fourier multiplier and boundedness of their symbols is well documented (see, e.g., [510]), but we emphasize that the discrete counterpart is too incipient and limited essentially a very few articles (see, e.g., [11, 12]). We believe that the development of this topic could have a strong applied potential. This would lead to very interesting problems related to difference equations arising in numerical analysis, for instance. From this perspective the results obtained in this work are, to the best of our knowledge, new.

We recall that in the continuous case, it is well known that the study of maximal regularity is very useful for treating semilinear and quasilinear problems. (see, e.g., Amann [13], Denk et al. [8], Clément et al. [14], the survey by Arendt [7] and the bibliography therein). However it should be noted that for nonlinear discrete time evolution equations some additional difficulties appear. In fact, we observe that this approach cannot be done by a direct translation of the proofs from the continuous time setting to the discrete time setting. Indeed, the former only allows to construct a solution on a (possibly very short) time interval, the global solution being then obtained by extension results. This technique will obviously fail in the discrete time setting, where no such thing as an arbitrary short time interval exists. In the recent work [15], the authors have found a way around the "short time interval" problem to treat semilinear problems for certain evolution equations of second order. One more case merits mentioning here is Volterra difference equations which describe processes whose current state is determined by their entire prehistory (see, e.g., [16, 17], and the references given there). These processes are encountered, for example, in mathematical models in population dynamics as well as in models of propagation of perturbation in matter with memory. In this direction one of the authors in [18] considered maximal regularity for Volterra difference equations with infinite delay.

The paper is organized as follows. The second section provides the definitions and preliminary results to be used in the theorems stated and proved in this work. In particular to facilitate a comprehensive understanding to the reader we have supplied several basic -boundedness properties. In the third section, we will give a geometrical link for the best discretization of the harmonic oscillator equation. In the fourth section, we treat the existence and uniqueness problem for (1.2). In the fifth section, we obtain a characterization about maximal regularity for (1.2).

2. Preliminaries

Let and be the Banach spaces, let be the space of bounded linear operators from into . Let denote the set of nonnegative integer numbers, the forward difference operator of the first order, that is, for each and We introduce the means



Definition 2.1.

Let , be Banach spaces. A subset of is called -bounded if there exists a constant such that

for all The least such that (2.2) is satisfied is called the -bound of and is denoted

An equivalent definition using the Rademacher functions can be found in [8]. We note that -boundedness clearly implies uniformly boundedness. In fact, we have that If , the notion of -boundedness is strictly stronger than boundedness unless the underlying space is isomorphic to a Hilbert space [5, Proposition 1.17]. Some useful criteria for -boundedness are provided in [5, 8, 19]. We remark that the concept of -boundedness plays a fundamental role in recent works by Clément and Da Prato [20], Clément et al. [21], Weis [9, 10], Arendt and Bu [5, 6], as well as Keyantuo and Lizama [2225].

Remark 2.2.
  1. (a)

    Let be -bounded sets, then is - bounded.

  2. (b)
    Let and be -bounded sets, then is - bounded and
  3. (c)

    Also, each subset of the form is - bounded whenever is bounded.

A Banach space is said to be , if the Hilbert transform is bounded on for some (and then all) Here the Hilbert transform of a function , the Schwartz space of rapidly decreasing -valued functions, is defined by
These spaces are also called spaces. It is a well-known theorem that the set of Banach spaces of class coincides with the class of spaces. This has been shown by Bourgain [4] and Burkholder [26]. The following result on operator-valued Fourier multipliers on , due to Blunck [11], is the key for our purposes. Note that for the Fourier transform on is defined as

Theorem 2.3.

Let and be a space. Let and be a differentiable function such that the set
is -bounded. Then for the following Fourier multiplier :
Recall that is called analytic if the set

is bounded. For recent and related results on analytic operators we refer to [27].

3. Spectral Properties and Open Problems

In this section we first give a geometrical link between the best discretization (1.2) and the equations of the form
The motivation comes from the recent article of Cieśliński and Ratkiewicz [2], where several discretizations of second-order linear ordinary differential equations with constant coefficients are compared and discussed. More precisely, concerning the harmonic oscillator equation the following three discrete equations are considered:
In particular, it is proved in [2] that the best (called "exact" in that paper) discretization of the harmonic oscillator is given by

which reminds the "symmetric" version of Euler's discretization scheme, but that appears in the discretization of the second derivative is replaced by .

Remark 3.1.

Observe that (3.1) can be rewritten as

If in (3.1), then we have a well-defined recurrence relation of order in case or (and of order ) in case .

In case , we have , that is, a recurrence relation of order , which can be not well defined unless . Finally, in case , is of order (note that here we need ).

Taking (formally) Fourier transform to (3.1), we obtain
Hence the operator is invertible if and only if belongs to the resolvent set of . Define the function

Then, for each fixed, describes a curve in the complex plane such that

Proposition 3.2.

The curve attains the minimum length at


A calculation gives Hence the length of is given by

From which the conclusion follows.

Remark 3.3.

As a consequence, the value in (3.1) is singular in the sense that the curve described by (3.6) attains the minimum length if and only if (see Figure 1). This singular character is reinforced by observing that

and that this value exactly corresponds to the step size in the best discretization of the harmonic oscillator obtained in [2]. We conjecture that there is a general link between the geometrical properties of curves related to classes of difference equations and the property of best approximation. This is possibly a very difficult task, which we do not touch in this paper.

Figure 1

In what follows we denote ; and The following result relates the values of with the spectrum of the operator . It will be essential in the proof of our characterization of well posedness for (1.2) in -vector-valued spaces given in Section 5 (cf. Theorem 5.2).

Proposition 3.4.

Suppose that is analytic. Then In particular,


Let such that for all Define By the spectral mapping theorem, we have
for all Hence

Finally, we observe that

4. Existence and Uniqueness

In this section, we treat the existence and uniqueness problem for the equation

Remark 4.1.

If is solution of the equation

then . It follows from induction. In fact, suppose that for all , choosing in (4.2) we get .

Recall that the convolution of two sequences and is defined by

Also we note that the convolution theorem for the discrete Fourier transform holds, that is, Further properties can be found in [28, Section 5.1]. Our main result in this section, on existence and uniqueness of solution for (4.1), read as follows.

Theorem 4.2.

Let , then there exists a unique solution of (4.1) which is given by , where satisfies the following equation:
If is an analytic operator, one has that
where is a circle, centered at the origin of the -plane that enclosed all poles of


Let , and defined by
Then it is not difficult to see that (4.1) is equivalent to
which has the solution
Then a calculation shows us that there is an operator with such that
satisfy the following equation:
which is equivalent to
We can see that there are two sequences in such that
Since , we have
On the other hand, using (4.12), we have
Hence, applying Fourier transform in (4.17), we obtain
Given we define
A direct calculation shows that , for . Then by (4.18), we get
On the other hand, since is solution of (4.9), we have
and hence
Applying Fourier transform in (4.24) and taking into account (4.21), we have
If is analytic, we get

and the proof is finished.

5. Maximal Regularity

In this section, we obtain a spectral characterization about maximal regularity for (1.2). The following definition is motivated in the paper [11] (see also [3]).

Definition 5.1.

Let . One says that (4.1) has discrete maximal regularity if defines a bounded operator .

As consequence of the definition, if (1.2) has discrete maximal regularity, then (1.2) has discrete -maximal regularity in the following sense: for each we have , where is the solution of the equation , for all . Moreover,

A similar analysis as above can be carried out when we consider more general initial conditions, but the price to pay for this is that the proof would certainly require additional -summability condition on The following is the main result of this paper.

Theorem 5.2.

Let be a UMD space and let analytic. Then the following assertions are equivalent.

  1. (i)

    Equation (1.2) has discrete maximal regularity.

  2. (ii)

    is -bounded.



(i) (ii) Define by
and the corresponding operator by
By hypothesis, is well defined and bounded on . By Proposition 3.4, whenever . Then, by Theorem 4.2 we have
We observe that there exists such that

Explicitly, is given by . We conclude, from [11, Proposition 1.4], that the set in (ii) is -bounded.

(ii) (i) Define for . Then is -bounded by hypothesis and Remark 2.2. Define
then and is -bounded. A calculation shows that Note that is -bounded if and only if is -bounded (cf. Remark 2.2). Moreover,
It shows that the set is -bounded, thanks to Remark 2.6 again. It follows the -boundedness of the set . Then, by Theorem 2.7 we obtain that there exists such that
By Theorem 4.2, we have

Then, by uniqueness of the Fourier transform, we conclude that

Remark 5.3.

Note that
is -bounded if and only if

is -bounded.

Corollary 5.4.

Let be a Hilbert space and let be an analytic operator. Then the following assertions are equivalent.

  1. (i)

    Equation (1.2) has discrete maximal regularity.

  2. (ii)


Remark 5.5.

Letting and with , we get that the hypothesis of the preceding corollary are satisfied. We conclude that the scalar equation
has the property that for all we get In particular that is, the solution is stable. Note that using (4.7) we can infer that
where and are the real roots of Moreover, the solution is given by

Remark 5.6.

We emphasize that from a more theoretical perspective, our results also are true when we consider the more general equation (3.1) instead of (1.1), but additional hypothesis will be needed (cf. Remark 3.1). Until now literature about this subject is too incipient and should be developed.



The authors are very grateful to the referee for pointing out omissions and providing nice comments and suggestions. This work was done while the third author was visiting the Departamento de Matemática, Universidade Federal de Pernambuco, Recife, Brazil. The second author is partially supported by CNPQ/Brazil. The third author is partially financed by Laboratorio de Análisis Estocástico, Proyecto Anillo ACT-13, and CNPq/Brazil under Grant 300702/2007-08.

Authors’ Affiliations

Departamento de Matemática, Universidade Federal de Pernambuco
Departamento de Matemática y Ciencia de la Computacion, Facultad de Ciencias, Universidad de Santiago de Chile


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© Airton Castro et al. 2009

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