Non-harmonic Gohberg's lemma, Gershgorin theory and heat equation on manifolds with boundary
Michael Ruzhansky, Juan Pablo Velasquez-Rodriguez

TL;DR
This paper extends classical spectral and operator theory to non-harmonic boundary value problems on manifolds with boundary, providing criteria for operator compactness, boundedness, and spectral location, with applications to heat equations.
Contribution
It introduces a non-harmonic version of Gohberg's Lemma, characterizes operator spectra via matrix analysis, and applies these results to evolution equations on manifolds with boundary.
Findings
Provided explicit spectral information for pseudo-differential operators.
Established criteria for operator compactness and boundedness in non-harmonic analysis.
Applied results to ensure smoothness and stability of heat equation solutions.
Abstract
In this paper, following the works on non-harmonic analysis of boundary value problems by Tokmagambetov, Ruzhansky and Delgado, we use Operator Ideals Theory and Gershgorin Theory to obtain explicit information concerning the spectrum of pseudo-differential operators, on a smooth manifold with boundary , in the context of the non-harmonic analysis of boundary value problems, introduced by Tokmagambetov and Ruzhansky in terms of a model operator . Under certain assumptions about the eigenfunctions of the model operator, for symbols in the H\"ormander class , we provide a "non-harmonic version" of Gohberg's Lemma, and a sufficient and necessary condition to ensure that the corresponding pseudo-differential operator is a compact operator in . Also, for pseudo-differential operators with…
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NONHARMONIC GOHBERG’S LEMMA, GERSHGORIN THEORY AND HEAT EQUATION ON MANIFOLDS WITH BOUNDARY
Michael Ruzhansky
Department of Mathematics: Analysis, Logic and Discrete Mathematics
Ghent University, Belgium
and
School of Mathematical Sciences
Queen Mary University of London
United Kingdom
and
Juan Pablo Velasquez-Rodriguez
Department of Mathematics
Universidad del Valle
Calle 13 No 100-00, Cali
Colombia
(Date: March 2, 2024)
Abstract.
In this paper, we use Operator Ideals Theory and Gershgorin Theory to obtain explicit information concerning the spectrum of pseudo-differential operators, on a smooth manifold with boundary , in the context of the non-harmonic analysis of boundary value problems, introduced in [45] in terms of a model operator . Under certain assumptions about the eigenfunctions of the model operator, for symbols in the Hörmander class , we provide a “non-harmonic version” of Gohberg’s Lemma, and a sufficient and necessary condition to ensure that the corresponding pseudo-differential operator is a compact operator in . Also, for pseudo-differential operators with symbols satisfying some integrability condition, one defines its associated matrix in terms of the biorthogonal system associated to , and this matrix is used to give necessary and sufficient conditions for the -boundedness, and to locate the spectrum of some operators. After that, we extend to the context of the non-harmonic analysis of boundary value problems the well known theorems about the exact domain of elliptic operators, and discuss some applications of the obtained results to evolution equations. Specifically we provide sufficient conditions to ensure the smoothness and stability of solutions to a generalised version of the heat equation.
Key words and phrases:
Non-harmonic analysis, Spectral theory, Pseudo-differential operators, Compact operators, Gershgorin theory, Fourier Analysis
2010 Mathematics Subject Classification:
Primary; 58J40; Secondary: 47A10.
The authors were supported by the EPSRC Grant EP/R003025/1, by the Leverhulme Research Grant RPG-2017-151, and by the FWO Odysseus grant.
Contents
1. Introduction
Boundary value problems for pseudo-differential operators on manifolds or in domains with boundary have been studied in [1, 27, 59, 58, 41, 20, 22, 38, 33, 21, 15, 53, 6, 30, 28, 29] and references therein, among others. Most of the works in this topic exhibit a local approach, studying operators on the manifold through the use of charts. However, in some cases the analysis of pseudo-differential operators on a manifold can be simplified substituting the local approach by a global description [14, 31, 26, 52] similar to the case of compact Lie groups [17, 48, 49].
The simplest example where a global analysis can be carried out is the -dimensional torus , where we have the concept of periodic pseudo-differential operators [49, 50, 47] developed with the aid of classical Fourier series techniques. The Fourier series on the unit circle , or more generally on any torus, can be viewed as an unitary transform in the Hilbert space , generated by the operator of differentiation with periodic boundary conditions, because the system of exponential functions is a system of its eigenfunctions. As it is exposed in [45, 46, 14] this idea can be extended to a more general setting, without assuming that the problem has symmetries, using a differential operator of order with smooth coefficients, instead of the differential operator . In those papers the authors assume that is equipped with some boundary conditions, leading to a discrete spectrum, with its family of eigenfunctions yielding a Riesz basis in , which is a sequence such that and
[TABLE]
for some constants . This basis allows one to mimic the harmonic analysis constructions, and to carry out a global analysis similar to the toroidal case. The term “non harmonic analysis” comes from the work of Paley and Wiener [40] who studied exponential systems on for a discrete set . Paley and Wiener use the term non-harmonic Fourier series to emphasize the distinction with the usual (harmonic) Fourier series when , and similarly in [45] the authors introduce the “non-harmonic analysis of boundary value problems” as a (non-harmonic) Fourier analysis adapted to a boundary value problem.
The aim of this paper is to extend several results concerning the spectrum of pseudo-differential operators in the unit circle, to the context of the non-harmonic analysis of boundary value problems. Specifically, we will provide “non-harmonic versions” of Gohberg’s Lemma, compact operators characterisation, and spectrum localisation through Gershgorin Theory. For this, similar to [45, 46, 14], we have to make some assumptions about the model operator . Throughout this paper we will be always working in the following setting:
Assumption** (A).**
Let be a smooth -dimensional manifold with boundary such that is a compact (not necessarily smooth in the boundary) manifold. By we denote a differential operator of order with smooth bounded coefficients in , equipped with some fixed linear boundary conditions. We assume that the boundary conditions called (BC) lead to a discrete spectrum, with a family of eigenfunctions yielding a Riesz basis in . The discrete sets of eigenvalues and eigenfunctions will be indexed by a countable set that, without loss of generality, will be always a subset of for some . We consider the spectrum
[TABLE]
of with corresponding eigenfunctions in denoted by , i.e.
[TABLE]
and the eigenfunctions satisfy the boundary conditions (BC). The conjugate spectral problem is
[TABLE]
which we equip with the conjugate boundary conditions . We assume that the functions , are normalised
[TABLE]
and that
[TABLE]
for some constants , and every . Here we have used the notation
[TABLE]
where is the order of the differential operator . Recall that the systems and are biorthogonal, i.e.
[TABLE]
where
[TABLE]
is the usual inner product of the Hilbert space and a measure on . If has finite measure then we assume that the measure is normalised.
By associating a discrete Fourier analysis to the system , the authors in [45] introduced a full symbol for a given operator acting on suitable functions over , and this development has already been extended to smooth manifolds with boundary in [14]. We will recall the basic elements of such symbolic analysis in Section 3.
This paper is organised as follows:
- •
Section 2: we give examples of operators , and different boundary conditions yielding different types of biorthogonal systems.
- •
Section 3: we recall the basic elements of the discrete Fourier analysis, quantisation and full symbols associated to the system of eigenfunctions of a model operator .
- •
Section 4: assuming Gohberg’s Lemma in , we provide a sufficient and necessary condition to ensure the compactness of a global pseudo-differential operator with symbol in the Hörmander class .
- •
Section 5: we will show that the spectrum of some pseudo-differential operators can be localised with the aid of Gershgorin Theory. Also, we will discuss an aplication of this spectrum localisation to evolution equations.
- •
Section 6: we provide a proof of Gohberg’s Lemma in .
2. Examples of operators and boundary conditions
In this section we give several examples of the operator satisfying Assumption (A) and of boundary conditions . We want to remark that the property of having real-valued eigenfunctions will be of importance for the analysis in Section 5. For more examples see [45].
Example 2.1**.**
Let . Define in as the differential operator
[TABLE]
together with periodic boundary conditions. This operator is self-adjoint with the domain and its system of eigenfunctions is
[TABLE]
which form, with a proper choise of measure, an orthonormal basis of . Eigenvalues of are
[TABLE]
Recall that we can identify the functions in that satisfy periodic boundary conditions with functions on the -dimensional torus . Clearly, eigenvalues and eigenfunctions of from both perspectives coincide, and also satisfy Assumption (A). If we restrict our attention to real-valued functions, the periodic boundary value problem leads to the orthonormal basis of real-valued eigenfunctions
[TABLE]
Example 2.2**.**
Similar to the previous example, let and let be such that for . Define in as the differential operator
[TABLE]
together with the boundary conditions :
[TABLE]
and the domain
[TABLE]
Then, with , the system of eigenfunctions of the operator is
[TABLE]
and the conjugate system is
[TABLE]
where
[TABLE]
See [45] and the references therein for a detailed treatment.
Example 2.3**.**
The real-valued analogue of the above example is the operator
[TABLE]
with the same boundary conditions as in the previous example. This operator leads to the basis of eigenfunctions
[TABLE]
with the corresponding eigenvalues
[TABLE]
and with the corresponding biorthogonal system
[TABLE]
Example 2.4**.**
Let with and . Define as the two dimensional Laplace operator with domain and Neumann boundary conditions. As it is well known this operator is self-adjoint and its system of eigenfunctions is
[TABLE]
which is an orthonormal basis of . Thus satisfies Assumption (A).
Example 2.5**.**
Let . Define as the differential operator
[TABLE]
on the domain
[TABLE]
This operator was studied in detail in [23, 25]. The system of eigenfunctions of is
[TABLE]
and the adjoint functions are
[TABLE]
Since this system is a biorthogonal basis of , the operator satisfies Assumption (A).
Example 2.6**.**
Let . Consider the operator with the domain
[TABLE]
where and . We assume that
[TABLE]
so that the inverse exists and is bounded. Following [24] we have that the system of extended eigenfunctions of is
[TABLE]
where denotes the multiplicity of the eigenvalue and for any we have
[TABLE]
Its biorthogonal system is given by
[TABLE]
where
[TABLE]
Example 2.7**.**
Let . Define as the operator
[TABLE]
together with the boundary conditions :
- (i)
** 2. (ii)
** 3. (iii)
* for all .*
Similar to the periodic case, a function that satisfies can be identified with a function on the sphere . Thus is self-adjoint in the weighted Lebesgue space
[TABLE]
where . Its corresponding orthonormal basis of eigenfunctions is the collection of spherical harmonics
[TABLE]
with eigenvalues , where is the corresponding associated polynomial of Legendre. If we restrict our attention to real-valued functions, the boundary value problem leads to the orthonormal basis of real eigenfunctions
[TABLE]
Example 2.8**.**
Let . Combining Examples 2.3 and 2.7 we can consider the operator
[TABLE]
together with the boundary conditions
- (i)
** 2. (ii)
** 3. (iii)
* for all .*
The operator has a discrete spectrum and its eigenvalues are
[TABLE]
with corresponding eigenfunctions
[TABLE]
and the corresponding biorthonormal system
[TABLE]
Example 2.9**.**
Let . Consider the linear operator
[TABLE]
together with the boundary conditions
- (i)
* and for all ,* 2. (ii)
* for all *
Functions that satisfy the first item of the above boundary conditions can be identified with functions in the Möbius strip. The second item determines a Dirichlet boundary condition in the Möbius strip. With this boundary conditions the operator is self-adjoint and, using separation of variables, one can see that it has an orthonormal basis of eigenfunctions given by
[TABLE]
3. Preliminaries
In this section we recall the basics on the discrete Fourier analysis associated to the system of eigenfunctions of a model operator introduced in [45, 46, 14]. In what follows, will denote the collection of all continous linear operators from to , the Fréchet spaces. For we write instead of .
3.1. Test functions for and Schwartz kernel
In this subsection we recall some spaces of distributions generated by and by its adjoint . We also recall the version of the Schwartz kernel theorem corresponding to the present framework.
Definition 3.1**.**
The space is called the space of test functions for . Here, as in [45], it is defined by
[TABLE]
where is the domain of the operator , in turn defined as
[TABLE]
The Fréchet topology of is given by the family of norms
[TABLE]
Analogously to the -case, the space corresponding to the adjoint operator is defined by
[TABLE]
where is the domain of the operator
[TABLE]
which satisfy the adjoint boundary conditions corresponding to the operator . The Fréchet topology of is given by the family of norms
[TABLE]
Remark 3.2**.**
Since we have and for all , we observe that Assumption (A) implies that the spaces and are dense in .
Definition 3.3**.**
The space
[TABLE]
of linear continuous functionals on is called the space of -distributions. Analogously the space
[TABLE]
of linear continuous functionals on is called the space of -distributions.
Remark 3.4**.**
For any ,
[TABLE]
is an -distribution, which gives an embedding .
Now we recall the Schwartz kernel theorem. For this we need the following:
Assumption** (B).**
Assume that the number is such that we have
[TABLE]
We will use the notation
[TABLE]
and
[TABLE]
with the Fréchet topologies given by the family of tensor norms
[TABLE]
and
[TABLE]
For the corresponding dual spaces we write
[TABLE]
Theorem 3.5** (Schwartz kernel).**
For any linear continuous operator
[TABLE]
there exists a kernel such that for all , we can write, in the distribution sense
[TABLE]
Also, for any linear continuous operator
[TABLE]
there exists a kernel such that for all we can write, in the distribution sense
[TABLE]
For further discussion see [45, 46].
3.2. -Fourier transform
In this subsection we recall the definition of the -Fourier transform.
Let denote the space of rapidly decaying functions . That is, if for any there exists a constant such that
[TABLE]
holds for all . The topology in is given by the seminorms where and
[TABLE]
Continuous linear functionals on are of the form
[TABLE]
where functions grow at most polynomially at infinity i.e. there exist constants and such that
[TABLE]
holds for all . Such distributions form the space of distributions which we denote by .
Definition 3.6**.**
The -Fourier transform
[TABLE]
is defined by
[TABLE]
Analogously, one defines the -Fourier transform
[TABLE]
by
[TABLE]
The next proposition can be found in [45, Proposition 2.7].
Proposition 3.7**.**
The -Fourier transform is a bijective homeomorphism from to . Its inverse
[TABLE]
is given by
[TABLE]
so that the Fourier inversion formula becomes
[TABLE]
Similarly, is a bijective homeomorphism and its inverse
[TABLE]
is given by
[TABLE]
so that the conjugate Fourier inversion formula becomes
[TABLE]
We note that since the systems of and of are Riesz bases, we can also compare the -norms of functions with sums of squares of Fourier coefficients. The following statement follows from the work of Bari [5].
Lemma 3.8**.**
There exist constants such that for every we have
[TABLE]
and
[TABLE]
However we note that the Plancherel identity can be also achieved in suitably defined -spaces of Fourier coefficients, see Proposition 3.10.
3.3. Plancherel formula and Sobolev spaces
In this subsection we recall the Plancherel identity obtained by defining suitable sequence spaces and adapted to the present framework. Also, we recall the definition of Sobolev spaces associated to the model operator .
Definition 3.9**.**
We will denote by the linear space of complex valued functions on such that , i.e. if there exists such that . Then the space of sequences is a Hilbert space with the inner product
[TABLE]
for arbitrary Analogously, the Hilbert space is the space of functions on such that , with the inner product
[TABLE]
Also, we recall the definition of the -spaces (see [45, Definition 7.1]) associated with the model operator defined by
[TABLE]
[TABLE]
for , and
[TABLE]
[TABLE]
for . Also, we recall the definition of the usual -spaces
[TABLE]
for .
The reason for the definition in the above form becomes clear in view of the following Plancherel identity. See [45, Proposition 6.1].
Proposition 3.10** (Plancherel’s identity).**
If then , and the inner products take the form
[TABLE]
and
[TABLE]
In particular we have
[TABLE]
The Parseval identity takes the form
[TABLE]
Furthermore, for any , we have , , and
[TABLE]
As a consequence of the properties of the -Fourier transform collected so far, the definition of Sobolev space correspondent to the present setting naturally arises [45].
Definition 3.11**.**
[Sobolev spaces ] For and , we say that if and only if . We define the norm on by
[TABLE]
The Sobolev space is then the space of -distributions for which we have . Similarly, we can define the space by the condition
[TABLE]
We note that
3.4. -admissible operators and -quantisation
In this subsection we describe the -quantisation of the –admissible operators induced by the operator .
Definition 3.12**.**
We say that the linear continuous operator
[TABLE]
belongs to the class of –admissible operators if
[TABLE]
is in . For example, this is the case when the functions do not have any zeros in .
Remark 3.13**.**
Note that the expression
[TABLE]
exists for any operator from the class of –admissible operators. Moreover, it is in .
Definition 3.14**.**
[-Symbols of operators] The -symbol of a linear continuous –admissible operator
[TABLE]
is defined by
[TABLE]
Theorem 3.15**.**
Let
[TABLE]
be a linear continuous –admissible operator with -symbol . Then the –quantisation
[TABLE]
is true for every . The -symbol of can be written as
[TABLE]
In virtue of the above theorem, from now on we will be interested mainly in operators from the class of –admissible operators. However, in some cases we will consider a larger class. This is explained in the following remark.
Remark 3.16**.**
Let
[TABLE]
be a linear operator. If there exist a measurable function such that
[TABLE]
then we note that the -quantisation
[TABLE]
is true for every , and the function does not need to be in , in principle it is only necessary that
[TABLE]
For this reason we will call linear operators that satisfy the condition (2) -quantizable operators. The practical utility of this approach is reduced since it does not give enough information about the symbols to develop a symbolic calculus but, as we will show in Section 5, in some contexts this approach could be useful.
Similarly, we recall the analogous notion of the -quantisation.
Definition 3.17**.**
We say that the linear continuous operator
[TABLE]
belongs to the class of –admissible operators if
[TABLE]
is in . For example, this is the case when the functions do not have any zeros in .
So, from now on we will assume that operators are from the class of –admissible operators.
Remark 3.18**.**
Similarly to Remark 3.13, note that the expression
[TABLE]
exists for any operator from the class of –admissible operators. Moreover, it is in .
Definition 3.19**.**
[-Symbols of operators] The -symbol of a linear continuous –admissible operator
[TABLE]
is defined by
[TABLE]
Theorem 3.20**.**
Let
[TABLE]
be a linear continuous –admissible operator with -symbol . Then the –quantisation
[TABLE]
is true for every . The -symbol of can be written as
[TABLE]
Remark 3.21**.**
Let
[TABLE]
be a linear operator. Similarly to Remark 3.16, if there exist a measurable function such that
[TABLE]
then we note that the -quantisation
[TABLE]
is true for every , and the function does not need to be in , in principle it is only necessary that
[TABLE]
We will call linear operators that satisfy the condition (3) -quantizable operators.
The quantizable operators whose symbol does not depend on the variable are especially important, and therefore receive a particular name.
Definition 3.22**.**
Let be an -quantizable operator. We will say that is an -Fourier multiplier if it satisfies
[TABLE]
for some . Analogously we define -Fourier multipliers: Let be a -quantizable operator. We will say that is an -Fourier multiplier if it satisfies
[TABLE]
for some .
As in [14, Proposition 3.6], we have the following simple relation between the symbols of a Fourier multiplier and its adjoint.
Theorem 3.23**.**
The operator is an -Fourier multiplier by if and only if is an -Fourier multiplier by .
Another useful result about -Fourier multipliers is the following:
Lemma 3.24**.**
Let be an -Fourier multiplier with symbol . Then extends to a compact operator in if and only if
[TABLE]
3.5. Difference operators and Hörmander classes
In this subsection we recall difference operators, that are instrumental in defining symbol classes for the symbolic calculus of operators. After that we recall the definition of Hörmander classes corresponding to the present setting.
Definition 3.25**.**
[-stongly admissible functions] Define
[TABLE]
and let , be a given family of smooth functions. We will call the collection of ’s -strongly admissible if the following properties hold:
- •
For every the multiplication by is a continous linear mapping on for all
- •
for all ;
- •
rank;
- •
the diagonal in is the only set when all of ’s vanish:
[TABLE]
The collection of ’s with the above properties generalises the notion of a strongly admissible collection of functions for difference operators introduced in [51] in the context of compact Lie groups. We will use the multi-index notation
[TABLE]
Definition 3.26**.**
[-admissible operators] Analogously, the notion of an -strongly admissible collection suitable for the conjugate problem is that of a family , satisfying the properties:
- •
For every the multiplication by is a continous linear mapping on for all
- •
for all ;
- •
rank;
- •
the diagonal in is the only set when all of ’s vanish:
[TABLE]
We also write
[TABLE]
From now on we will always assume that the appearing collections are strongly admissible. We now record the Taylor expansion formula with respect to a family of ’s, which follows from expansion of functions and by the common Taylor series:
Proposition 3.27**.**
Any smooth function can be approximated by Taylor polynomial type expansion i.e. for , we have
[TABLE]
in a neighbourhood of , where and can be found from the recurrent formula: and for
[TABLE]
where . Analogously, any function can be approximated by Taylor polynomial type expansions corresponding to the adjoint problem, i.e. we have
[TABLE]
in a neighborhood of , where and can be found from the recurrent formula: and for
[TABLE]
where
It can be seen that operators and are differential operators of order , and that can be expressed in terms of or as linear combination with smooth bounded coefficients. This fact will be important for Proposition 3.32. Now that we have recalled the Taylor expansion formula we recall the definition of difference operators [45, 46].
Definition 3.28**.**
Let
[TABLE]
be an -admissible operator with the symbol and with the Schwartz kernel . Then the difference operator
[TABLE]
acting on -symbols by
[TABLE]
is well defined. Analogously, for a –admissible operator
[TABLE]
with symbol and with the Schwartz kernel the difference operator
[TABLE]
acting on -symbols by
[TABLE]
is well defined.
Using such difference operators and derivatives from Proposition 3.3 it is possible to define classes of symbols.
Definition 3.29**.**
[Symbol classes ] The -symbol class consists of such symbols which are in for all , and which satisfy
[TABLE]
for all , for all , and for all . Furthermore, we define
[TABLE]
and
[TABLE]
Analogously, we define the -symbol class as the space of those functions which are in for all , and wich satisfy
[TABLE]
for all for all , and for all . Similarly one defines the classes and .
As usual, for symbols in a Hörmander class we have a symbolic calculus [45]. In what follows and will denote the collection of linear operators with symbols in the Hörmander classes and respectively, defined by quantization in Theorem 3.15 and Theorem 3.20 .
Lemma 3.30** (Composition formula).**
Let and . Let be continous and linear, and assume that their -symbols satisfy
[TABLE]
for all , uniformly in and . Then
[TABLE]
where the asymptotic expansion means that for every we have
[TABLE]
Lemma 3.31** (Adjoint formula).**
Let . Let . Assume that the conjugate symbol class is defined with strongly admissible functions which are strongly -admissible. Then the adjoint of satisfies , with its -symbol having the asymptotic expansion
[TABLE]
We now show a result that will be used in the next section.
Proposition 3.32**.**
Assume that the measure of is finite, and that it is normalised. Then for symbols in the -symbol class the series
[TABLE]
is convergent.
Proof.
Let be as in Assumption (B). Note that
[TABLE]
and since is in the Hörmander class then for each . Hence we obtain
[TABLE]
Recall that, by Assumption (A), the operator is a differential operator with smooth bounded coefficients in . Then, is a differential operator with smooth bounded coefficients in , what allows us to deduce that
[TABLE]
since is in the Hörmander class so, all its derivatives are uniformly bounded in and . This concludes the proof. ∎
Remark 3.33**.**
The above arguments and Assumption (A) also prove that:
[TABLE]
the last quantity being finite in view of being a differential operator with smooth coefficients for any , and by interpolation.
In view of the correspondence between quantizable linear operators and symbols, from now on we will change our perspective and think of quantizable operators as linear operators associated to given symbols.
Definition 3.34**.**
[Pseudo-differential operators] Let be a measurable function such that
[TABLE]
Then one defines its associated -pseudo-differential operator as the linear operator acting (initially) on by the formula
[TABLE]
The function is called the symbol of the operator. Analogously, given a measurable function such that
[TABLE]
one defines its associated -pseudo-differential operator as the linear operator acting (initially) on by the formula
[TABLE]
4. Compact operators
In this section we provide a necessary and sufficient condition for compactness of pseudo-differential operators with -symbols in the Hörmander class . For this purpose we enunciate the version of Gohberg’s Lemma corresponding to the present framework. A proof of this theorem will be discussed in Section 6. In what follows, for and normed spaces, denotes the collection of compact operators in .
Theorem 4.1** (Gohberg’s Lemma).**
Assume that has finite measure . Let be a pseudo-differential operator with -symbol . Then for all compact operator , where
[TABLE]
The original statement of this theorem can be found in [18]. A toroidal version of this theorem can be found in [37]. For the version of Gohberg’s Lemma on general compact Lie groups see [12]. The proof of Theorem 4.1 will be given in Section 6.
Theorem 4.2**.**
Assume that has finite measure . Let be a pseudo-differential operator with -symbol . Then extends to a compact operator in if and only if
[TABLE]
Proof.
Assume that and let . For all we have
[TABLE]
Here and the change in the order of summation is justified by Fubini–Tonelli’s theorem since
[TABLE]
By defining the operator , a multiplication operator, we have
[TABLE]
and clearly since
[TABLE]
Now, for each , the operator is a Fourier multiplier. Moreover, since a pseudo-differential operator with symbol depending just on the Fourier variable extend to a compact operator in if and only if
[TABLE]
and for each we have that
[TABLE]
then each operator is a compact operator. As a consequence each is compact and for all , the operator
[TABLE]
is also compact since the set of compact operators form a two sided ideal in (see [61], Proposition 4.3.4) and this ideal of compact operators is a closed subset of in the operator norm topology. For this reason, if the series
[TABLE]
converges in the operator norm topology, then
[TABLE]
is compact as it is the limit of a sequence of compact operators. We have already seen in Remark 3.33 that if then
[TABLE]
where are as in Lemma 3.8. The above sum converges since
[TABLE]
In summary, is a compact operator. Now, assume that . We need only to show that is not compact on . Suppose that is compact. If we set in Theorem 4.1 then it contradicts our assumption that . ∎
Analogously, with the same scheme of proof one can prove the following theorem:
Theorem 4.3**.**
Let be a pseudo-differential operator with -symbol . Then extend to a compact operator in if and only if
[TABLE]
5. Gershgorin theory
In this section, under certain conditions, we will provide spectrum localisation of pseudo-differential operators in the context of the non-harmonic analysis of boundary value problems. Most of this section consists in the application of several well known results about infinite matrix theory. For this reason we will begin recalling the theorems about infinite matrices that we will use later. In what follows for a linear operator the resolvent set of will be denoted by
[TABLE]
and the spectrum by .
5.1. Infinite Matrices
Definition 5.1**.**
Given an infinite index set , an infinite matrix indexed by is a function with matrix entries defined by . If is an infinite matrix and an infinite vector (or a function from to ) then the product of the vector an the matrix is defined as
[TABLE]
For infinite matrices and their product is defined as the infinite matrix with entries
[TABLE]
and as usual, the adjoint of the infinite matrix is the infinite matrix with entries
[TABLE]
It is easy to see that, with the above definition, for any pair of infinite vectors (functions ) and complex numbers one has
[TABLE]
so it is reasonable to think that an infinite matrix can define a linear operator on some sequence space. However, not all infinite matrices define linear operators, and some conditions must be imposed on the matrix to be sufficiently well behaved. In this case we are interested in linear operators on . Fortunately, infinite matrices that define linear operators in are closely related to infinite matrices acting on , (and then with matrices acting on ) which have already been studied, and many results have been obtained. We state the most relevant for our work below. The following statement can be found in [10].
Lemma 5.2** (Crone).**
Let be an infinite matrix with rows and columns in . Define the projection
[TABLE]
where . Then defines a bounded operator in if and only if
[TABLE]
When this happens we have
[TABLE]
With an analogous reasoning to Crone we can prove:
Lemma 5.3**.**
Let be an infinite matrix with rows and columns in . Then defines a bounded operator in if and only if
[TABLE]
When this happens we have
[TABLE]
Proof.
Suppose that is bounded. Then for every and every we have
[TABLE]
thus
[TABLE]
For the converse, let be the collection of vectors in with finitely many nonzero entries. Then, for every , there exits a natural number such that . For this we have
[TABLE]
and from this
[TABLE]
yielding
[TABLE]
The proof is complete. ∎
Remark 5.4**.**
We note that what the previous theorem says is: the norm of an infinite matrix, considered as a linear operator acting on , equals the supremum of the operator induced norms of a sequence of finite matrices. In fact
[TABLE]
where is the finite matrix with entries for and denote the normed space with the -norm.
The following lemmas can be found in [16, 54, 4].
Lemma 5.5**.**
Let be an infinite matrix. Define two new matrices and by
[TABLE]
where is the Kronecker delta. If the following conditions hold
- (i)
* for all and ,* 2. (ii)
* defines a bounded operator in with bounded inverse,*
then is an invertible densely defined linear operator in with bounded inverse. If in addition
[TABLE]
then the inverse of is a compact operator.
Lemma 5.6** (Farid and Lancaster).**
Let be an infinite matrix, considered as a linear operator on for fixed, with columns in . Define and assume that
- (i)
* and as ,* 2. (ii)
There exist such that for all
[TABLE] 3. (iii)
Either and exist and are in for all , or and exist and are in for all .
Then is a closed operator, and the spectrum in is nonempty and consists of discrete nonzero eigenvalues, lying in the set
[TABLE]
where the closed balls are called the Gershgorin discs. Furthermore, any set consisting of Gershgorin discs whose union is disjoint from all other Gersgorin discs intersects in a finite set of eigenvalues of , with total algebraic multiplicity .
The previous Lemmas apply in without major modifications. Next we will adapt these theorems to pseudo-differential operators in the context of the non-harmonic analysis.
5.2. -Boundedness and Spectrum localisation
Consider a measurable function such that for each , and let be its associated -pseudo-differential operator. Then, at least formally, for we can write
[TABLE]
Recall that by Assumption (A)
[TABLE]
and thus, we can decompose the function in its -Fourier series. This means that there exist coefficients such that
[TABLE]
From this we have
[TABLE]
so, the -th -Fourier coefficient of is
[TABLE]
which can be writen in terms of the matrix-vector product
[TABLE]
where
[TABLE]
This observation is the key fact of this section, and is the motivation for the following definition.
Definition 5.7**.**
[Associated matrix] Let be a measurable function such that for each , and let be its associated pseudo-differential operator. Then its associated matrix is defined as the infinite matrix with entries
[TABLE]
With this definition in mind, the operator considered as acting in can be factored through as the following diagram shows
{L^{2}(\Omega)}$${L^{2}(\Omega)}$${\ell^{2}(\mathfrak{L})}$${\ell^{2}(\mathfrak{L})}$$\scriptstyle{T_{\sigma}}$$\scriptstyle{\mathcal{F}_{L}}$$\scriptstyle{M_{\sigma}}$$\scriptstyle{\mathcal{F}^{-1}_{L}}
where and are the -Fourier transform and inverse -Fourier transform defined in Section 3. These linear operators extend to unitary operators. For this reason, the operator is bounded in if and only if the infinite matrix defines a bounded operator in , and then . Also, by Lemma 3.8, the -norm and the -norm are equivalent so, the properties of as a linear operator on (boundedness, compactness, invertibility) are the same that as those of operator on . This allows us to apply Lemma 5.2 to give necessary and sufficient conditions for the -boundedness of pseudo-differential operators.
Theorem 5.8**.**
Let be a measurable function such that for each , and let be its associated -pseudo-differential operator. Let be the finite matrix with entries
[TABLE]
Then defines a bounded operator on if and only if the rows of the associated matrix are in (equivalently in ) and
[TABLE]
where . When this happens we have
[TABLE]
where are the constants in Lemma 3.1.
Proof.
We just have to see that
[TABLE]
and
[TABLE]
Since the -norm and the -norm are equivalent (Lemma 3.8) the result follows as a direct application of Lemma 5.2. ∎
Remark 5.9**.**
When for all , the -norm and the -norm coincide, and the matrix takes the form
[TABLE]
For example this is the case when is self-adjoint.
5.3. Spectrum Localisation
The purpose of this subsection is to extend to some class of pseudo-differential operators the theorem enunciated below.
Theorem 5.10** (Gershgorin Circle Theorem).**
Let be a matrix with entries , and define . Then each eigenvalue of lies in one of the disks .
This theorem can be extended to operators that act on an infinite dimensional space, particularly to infinite matrices. There is a great quantity of literature on the subject (see for example [43] and references therein) and indeed the Gershgorin theorem gives rise to an entire theory, called the Gershgorin theory. Lemmas 5.5 and 5.6 are examples of the achievements of this theory. Next we will rewrite their statements in the setting of the pseudo-differential operators.
Theorem 5.11**.**
Let be a pseudo-differential operator with symbol such that for each . If satisfies the following three properties:
- (i)
\inf_{\xi\in\mathcal{I}}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}>0,** 2. (ii)
\sup_{\xi\in\mathcal{I}}\Big{(}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}^{-1}\sum_{\zeta\neq\xi}|(T_{\sigma}u_{\zeta},v_{\xi})_{L^{2}(\Omega)}|\Big{)}<1,** 3. (iii)
\sup_{\xi\in\mathcal{I}}\Big{(}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}^{-1}\sum_{\zeta\neq\xi}|(T_{\sigma}u_{\xi},v_{\zeta})_{L^{2}(\overline{\Omega})}|\Big{)}<1,**
then is an invertible linear operator with bounded inverse. In particular if
[TABLE]
the inverse is a compact operator.
Proof.
Let be the associated matrix of . We will show that this infinite matrix, considered as acting on , satisfies the hypothesis of Lemma 5.5. This is enough because of Proposition 3.10, and because for any infinite matrix one has if and only if , and for , if and only if , in virtue of Lemma 3.8. First it is easy to see that (i) and (ii) in Theorem 5.3 are equivalent to (i) in Lemma 5.3. For the remaining hypothesis define and as
[TABLE]
and
[TABLE]
Then
[TABLE]
As it is known, the operator norm of an infinite matrix acting on equals the supremum of the -norms of its columns, and the operator norm on equals the supremum of the -norms of its rows. Note that the entries of are
[TABLE]
and from this we get
[TABLE]
where
- a_{1}=\sup_{\xi\in\mathcal{I}}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}^{-1}\sum_{\zeta\neq\xi}|(T_{\sigma}u_{\zeta},v_{\xi})_{L^{2}(\Omega)}|,
- a_{2}=\sup_{\xi\in\mathcal{I}}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}^{-1}\sum_{\zeta\neq\xi}|(T_{\sigma}u_{\xi},v_{\zeta})_{L^{2}(\Omega)}|,
so and by Lemma 2.1 in [9] the operator defined by is invertible with bounded inverse in , consequently in . For this reason the operator
[TABLE]
is invertible with bounded inverse
[TABLE]
wich is compact if satisfy
[TABLE]
This completes the proof. ∎
Corollary 5.12**.**
Let be a complex number and define . If satisfies the hypothesis of Theorem 5.11 then .
As an immediate consequence of Lemma 5.6 we have:
Theorem 5.13**.**
Let be a measurable function such that for each , and let be its associated pseudo-differential operator. Let be the associated matrix. Assume that
- (i)
* for all ,* 2. (ii)
\lim_{|\xi|\to\infty}\big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\big{|}=\infty, 3. (iii)
Rows of are in and the columns are in , 4. (iv)
\sup_{\xi\in\mathcal{I}}\Big{(}\Big{|}\int_{\Omega}\sigma(x,\xi)u_{\xi}(x)\overline{v_{\xi}(x)}dx\Big{|}^{-1}\sum_{\zeta\neq\xi}|(T_{\sigma}u_{\xi},v_{\zeta})_{L^{2}(\overline{\Omega})}|\Big{)}<1.
Then is a closed operator and the spectrum is nonempty and consists of discrete nonzero eigenvalues, lying in the set
[TABLE]
where
[TABLE]
Furthermore, any set of Gershgorin discs whose union is disjoint from all other Gersgorin discs intersects in a finite set of eigenvalues of with total algebraic multiplicity .
Remark 5.14**.**
All the analysis made in this section can be done analogously for the -case, using the -Fourier transform, and the infinite matrix associated to a -pseudo-differential operator with symbol .
5.4. Examples
We can use Theorem 5.13 to localise the spectrum of operators with -symbols of the form , in the context some of the examples presented in Section 2.
- (i).
In the context of Example 2.1, consider functions and such that
[TABLE]
The associated matrix to the symbol has entries
[TABLE]
and then the hypotheses that the symbol must satisfy in order to apply the Theorem 5.13 are:
- (i)
for all , 2. (ii)
, 3. (iii)
, 4. (iv)
\sum_{\zeta\neq\xi}|(T_{\sigma}e^{ix\cdot\xi},e^{ix\cdot\zeta})_{L^{2}(\mathbb{T}^{d})}|=||\mathcal{F}_{\mathbb{T}^{d}}V||_{\ell^{1}(\mathbb{Z}^{d})}-\big{|}\int_{\mathbb{T}^{d}}V(x)dx\big{|}<\big{|}\alpha(\xi)+\int_{\mathbb{T}^{d}}V(x)dx\big{|}, for all .
Under this hypothesis the spectrum of the toroidal pseudo-differential operator associated to the symbol is contained in the set
[TABLE]
where
[TABLE]
as a consequence of Theorem 5.13. This shows that the spectrum of the operator is purely discreet and the eigenvalues grow as the function . 2. (ii).
Let us take functions and such that tends to infinity and grow at most polynomially, and for all . One can see that, for symbols , the associated matrix in the contexts of Examples 2.1 and 2.2 coincide, even when the operators are different. For this reason, as before, if we have
[TABLE]
for all , then in the context of Example 2.2 the -symbol satisfies the conditions of Theorem 5.13, thus, as in the previous example, the spectrum of the associated -pseudo-differential operator is contained in the set
[TABLE]
where
[TABLE]
and
[TABLE] 3. (iii).
In the context of Example 2.5, for symbols , and , we have, first
[TABLE]
second
[TABLE]
and third, the sum
[TABLE]
is equal to
[TABLE]
if ; to
[TABLE]
if ; and to
[TABLE]
if . In any case the above quantities are equal to
[TABLE]
so if
[TABLE]
for all then the spectrum of the associated -pseudo-differential operator is contained in the set
[TABLE]
where
[TABLE]
and
[TABLE]
As before, this shows that eigenvalues of grow as .
Remark 5.15**.**
We note that, if the eigenfunctions , with corresponding eigenvalues , of the pseudo-differential operator associated with the -symbol form a basis in , then one can construct the solutions to the equation
[TABLE]
as
[TABLE]
This in fact is true for every pseudo-differential operator, and for elliptic -symbols in a Hörmander class it is possible to ensure smoothness of solutions. We dedicate the following subsection to prove this fact. Part of it is the adaptation of the the work of M. Pirhayati in [42] to the present setting.
5.5. An application to generalised heat equations
To begin with we have the following straightforward results.
Proposition 5.16**.**
Let . Let be a pseudo-differential operator with -symbol for some . Then if has an eigenfunction, it is in .
Proof.
Suppose , . Then by Corollary 14.2 in [45] we have for all . This proves that if is an eigenfunction of with corresponding eigenvalues then
[TABLE]
for all , thus . ∎
An analogous result can be proved for some symbols in a positive Hörmander class, but we need ellipticity. First we study solutions of (HE) for quantizable operators.
Proposition 5.17**.**
Let be a pseudo-differential operator with -symbol such that for every . Suppose that the eigenfunctions of form a Riesz basis in , and that the real parts of the correspondent eigenvalues are uniformly bounded from below by a constant. Then for an initial condition the solution in the time of (HE) stay in for all
Proof.
Just recall that, by definition of Riesz basis, there exists contants such that
[TABLE]
for every With this
[TABLE]
finishing the proof. ∎
Now let us see that pseudo-differential operators with -symbol in a a Hörmander class are closable. The following is an adaptation of the standard argument.
Proposition 5.18**.**
Let , . Let . Then is closable with dense domain containing .
Proof.
Let be a sequence in such that and for some in as . We only need to show that . We have
[TABLE]
Let , then for all . By the density of in , it follows that . ∎
Consider with domain containing . Then by the previous result it has a closed extension. Let be the minimal operator for , which is the smallest closed extension of . Then the domain of consists of all functions for which there exists a sequence in such that in and for some as . It can be shown that does not depend on the choice of and . We define the linear operator on with domain by the following. Let and be in . Then we say that and if and only if
[TABLE]
It can be proved that is a closed linear operator from into with domain containing . In fact, is contained in the domain of the transpose of . Furthermore, for all in .
It is easy to see that is an extension of . In fact is the largest closed extension of in the sense that if is any closed extension of such that , then is an extension of . Such is called the maximal operator of .
Now we recall the definition of ellipticity.
Definition 5.19**.**
We say that is elliptic if there exist constants and such that
[TABLE]
for all for which ; this is equivalent to assuming that there exists such that , are in .
The following theorem is an analogue of Agmon-Douglis-Nirenberg in [2].
Proposition 5.20**.**
Let be a pseudo-differential operator with -symbol , . Assume that elliptic. Then there exist positive constants and such that
[TABLE]
Proof.
The inequality
[TABLE]
is given by [45, Theorem 14.3]. The inequality
[TABLE]
is given by the boundedness of , see [45, Corollary 14.2]. ∎
Proposition 5.21**.**
Let be a pseudo-differential operator with -symbol , and assume it is elliptic. Then .
Proof.
Let . Then by using the density of in , there exists a sequence in such that in and therefore in as . By Proposition 5.20, and are Cauchy sequences in . Therefore and for some as . This implies that and Now assume that . Then there exists a sequence in such that in and , for some . So, by Proposition 5.20, is a Cauchy sequence in . Since is complete, there exists such that in . This implies in which implies that ∎
The following theorem shows that the closed extension of an elliptic pseudo-differential operator on with -symbol , is unique, and moreover, by Proposition 5.21 its domain is .
Theorem 5.22**.**
Let be a pseudo-differential operator with -symbol , , and assume it is elliptic. Then .
Proof.
Since is a closed extension of , by Proposition 5.21 it is enough to show that . Let . By ellipticity of , there exists such that
[TABLE]
where is an infinitely smoothing operator. Since , by [45, Corollary 14.2], it follows that , which completes the proof. ∎
As an immediate consequence of this theorem we get:
Corollary 5.23**.**
Let be a pseudo-differential operator with -symbol , , and assume it is elliptic. Then if has an eigenfunction, it is in .
Proof.
We just have to note that implies for all . ∎
And with this corollary we can provide a sufficient condition for smoothness of solutions to the equation (HE).
Theorem 5.24**.**
Let be a pseudo-differential operator with symbol , , and assume it is elliptic. Suppose that eigenfunctions (without loss of generality indexed by and normalized) with corresponding eigenvalues form a Schauder basis of . Suppose that the real parts of eigenvalues of grow at least as for some , and that , for some . Then the solution in the time to the equation (HE) is in for all .
Proof.
As we said before, the solution of (HE) has the form
[TABLE]
where is the -component of with respect to the basis . Let us show that . By Proposition 5.20 we have
[TABLE]
thus
[TABLE]
which completes the proof. ∎
Corollary 5.25**.**
Let be a self-adjoint elliptic -pseudo-differential operator. Suppose that the real parts of eigenvalues of grow at least linearly, and that , for some . Then the solution in the time to the equation (HE) is in for all .
Remark 5.26**.**
Theorem 5.24 provides a sufficient condition to ensure that solutions to the equation (HE) are in for all . We want to remark that, in many cases, this implies the smothness of solutions, since the model operator is a diferential operator so could be a natural assumption. We will exploit this fact in the next subsection.
5.6. Stability of solutions
In this subsection we use the scheme of the proof from [39] and [7] to give sufficient conditions to ensure that the solution at the time of the pseudo-differential equation (HE) eventually becomes (and remains) a Morse function with distinct critical values for “arbitrary” initial conditions. Until the end of the subsection all functions are assumed to be real valued. We start by recalling the concepts of Morse function and stabiliy for functions defined in a compact smooth manifold. Throughout this subsection we will use the following notation:
[TABLE]
Definition 5.27**.**
Let be a smooth manifold. A smooth real-valued function on is a Morse function if it has no degenerate critical points.
Definition 5.28**.**
Let be a compact smooth manifold and let . Then is said to be stable if there exist a neighbourhood of in the Whitney topology such that for each there exist diffeomorphisms such that the following diagram commutes
{\overline{\Omega}}$${\mathbb{R}}$${\overline{\Omega}}$${\mathbb{R}}$$\scriptstyle{f}$$\scriptstyle{g}$$\scriptstyle{h}$$\scriptstyle{f^{\prime}}
The corollary to the following fundamental theorem gives a simple characterization of stable functions which will be the key to what follows. See [19, pp. 79-80].
Theorem 5.29** (Stability theorem).**
Let be a smooth compact manifold and let . Then is a Morse function with distinct critical values if and only if it is stable.
Corollary 5.30**.**
If is a smooth compact manifold and is a Morse function with distinct critical values, then there exists a neighborhood of in the topology such that is a Morse function with distinct critical values and the same number of critical points as for all in that neighborhood. In particular since is compact, there exist and such that is a Morse function with distinct critical values and the same number of critical points as whenever with being a fixed norm for the topology.
Now with this we can extend Lemma 2.1 in [39] to pseudo-differential operators using the same scheme of proof that the authors in that paper.
Lemma 5.31**.**
Let be a smooth compact manifold, and let be a linear operator acting on real valued functions, with the property that solutions to (HE) are in . Suppose that the following conditions hold:
- (i)
Eigenfunctions of constitute a Schauder basis of , and belong to , 2. (ii)
There exists and a basis of the direct sum of the first -spaces
[TABLE]
with the following property: the set of -tuples , , such that is a Morse function with distinct critical values and critical points (for some ) is an open dense subset of . If constant functions are in some of the first -spaces then the condition must hold with basis of the orthogonal complement of constant functions in the direct sum of the first -spaces, 3. (iii)
If the sequence is arranged in such a way that implies , then grow at least as for some , and for . 4. (iv)
For each and every there exist such that the projection of into the -th eigenspace satisfies
[TABLE]
Then there exist a set , that is dense and open in the topology, such that for any initial condition if is the corresponding solution to the equation
[TABLE]
on at time , then there exist such that for , is a Morse function with distinct critical values on and critical points.
Proof.
Without loss of generality, we will consider the case when there are no constant functions in the first -spaces. Let be the set of functions whose projection onto the direct sum of the first -eigenspaces is a Morse function, with distinct critical values, and critical points. Let . Let be the orthogonal projection into the subspace , and the projection into its orthogonal complement . Since the norms
[TABLE]
are equivalent, is clear that functions in a sufficiently small neighbourhood of in the topology will have their coefficients (with respect to any fixed basis of the direct sum of the first -eigenspaces ) as close as desired to those of the projection of into the direct sum of the first -eigenspaces. Then if we take a neighbourhood of small enough, by condition we have that , hence is open. Now let , let be the projection onto the -space, and let be obtained from such that for and comes from slightly modifying the coefficients of each with respect to so that is a Morse function with distinct critical values and critical points (this is again possible by condition ). If the modification is slight enough, will be as close as desired to in . Thus is dense. Next we check that if and with , then is a Morse function with distinct critical values and critical points for large . By Corollary 5.30 it is enough to prove that for each
[TABLE]
and is as in the hypothesis . For fixed one has
[TABLE]
In virtue of (3) grow at least as for some , so the series
[TABLE]
is clearly convergent and a decreasing function of . Since the first factor tends to zero as the proof is complete. ∎
Remark 5.32**.**
The above lemma is about smooth functions on compact smooth manifolds, with (smooth) boundary or without any boundary (closed manifolds). However, we have used the notation here to suggest that it can be applied in the setting of the non-harmonic analysis, but for this it is necessary to have the smoothness of the boundary , and the condition .
The motivation for Lemma 5.31 is the fact that the solutions of the heat equation in a wide class of manifolds become minimal Morse functions with distinct critical values. This is Lemma 2.1 in [39] where in particular the cases and were treated. See [7] for the cases and . In our setting the case correspond to the periodic boundary value problem associated to the Laplacian.
We note that, in order to apply Lemma 5.31, it is necessary to ensure three things: first, eigenvalues of grow at a reasonable rate, second, Morse functions are dense in the first non-trivial eigenspaces, and third, the -norm of the projection of a function in each -eigenspace is bounded by some polynomial in . The Laplacian is particulary nice because it is self-adjoint and its eigenvalues are well known in many cases. Moreover, on some manifolds as in those examples given in Section 2 there exist enough informaton about the basis of the first non-trivial eigenspace, and about the basis of each eigenspace. However, for more general operators it is a non-trivial problem to obtain information about its eigenfunctions, but one can use the spectrum localisation achieved by Theorem 5.13 to give at least one of the necessary conditions, in some cases. Now we give some examples where Lemma 5.31 can be applied:
Example 5.33**.**
Eigenfunctions of the model operator in Examples 2.1 and 2.7 coincide with the eigenfunctions of Laplace operator in and , respectively. In [7] the authors show that Lemma 5.31 applies for the heat equation and its solutions become and remain as minimal Morse functions, but much more can be said. Since we know how eigenfunctions of Fourier multipliers should be, then we can check (more or less easily in some cases) if Lemma 5.31 applies for the equation determined by a given Fourier multiplier. For example, let be a positive function that grows at least linearly and takes its minimum value only in integer vectors of the form . Then, by the same arguments as in [7], the solution at the time for the Cauchy problem
[TABLE]
on the torus becomes and remains a Morse function with distinct critical values in view of Lemma 5.31.
Example 5.34**.**
Consider the equation
[TABLE]
where
[TABLE]
in the Möbius strip with the Dirichlet boundary conditions (Example 2.9). A function in the first non trivial eigenspace associated to the operator has the form
[TABLE]
which is Morse for . Each eigenspace is one-dimensional and the norm of the projection of a smooth function onto the -th eigenspace is bounded by a constant times .
Remark 5.35**.**
We have used the fact that functions in Examples and can be identified with functions on a compact smooth manifold, but Lemma 5.31 works in a wider class of domains. To see this consider the Example 2.3. Since the domain in consideration is at first appearance Lemma 5.31 does not apply, but one can see for the model operator that, after ordering the eigenvalues in non-decreasing order, functions in each -space are very similar to the functions in the -space of the model operator in Example 5.33. So, it is reasonable to think that this difficulty can be avoided. Certainly the eigenfunctions of and consequently their linear combinations can be extended to a larger domain (a ball for example) containing . We can choose this domain in such way that it is a compact smooth manifold with boundary where Lemma 5.31 applies. Moreover, since critical points of a Morse function in a compact smooth manifold are finite then we can choose an extended domain where the extension of the functions have the same number of critical points as the original functions, for example in a cube of rounded corners tight to . This observation is the motivation of the following corollary of Lemma 5.31.
Corollary 5.36**.**
Let be an open set, and let be a linear operator acting on real valued functions, with the property that solutions to (HE) are in , and such that its eigenfunctions are smooth in and form a Schauder basis of . Assume that the corresponding eigenvalues grow at least linearly, and suppose that there exists a open subset such that:
- (i)
* and is a compact smooth manifold with boundary.* 2. (ii)
Each eigenfunction of the operator extends to a smooth function in . 3. (iii)
There exists and a basis of the direct sum of the first -spaces
[TABLE]
with the following property: the set of -tuples , , such that extend to a Morse function in with distinct critical values and critical points (for some ) is an open dense subset of . If constant functions are in some of the first -spaces then the condition must hold with basis of the orthogonal complement of constant functions in the direct sum of the first -spaces, 4. (iv)
For each function in the -eigenspace and every there exist such that
[TABLE]
Then there exist a set that is open and dense in in the topology such that, for any initial condition , if is the corresponding solution to the equation
[TABLE]
on at time , then there exist such that for , is a Morse function with distinct critical values on .
Proof.
Let be the set of functions whose projection onto the direct sum of the first -spaces extend to a Morse function in . Then, as before, is dense and open in the topology, and if then is eventually very close to a Morse function with distinct critical values. ∎
Example 5.37**.**
In Example 2.3 the first eigenspace of the operator is not trivial but the gradient of every non-zero function is non-zero in so, we have to consider the direct sum of the first two eigenspaces, let us call them and . A function in can be extended to any subset or containing and can be written in the form
[TABLE]
thus
[TABLE]
where
[TABLE]
where is the two argument arctangent function, defined as the angle in the Euclidean plane, given in radians, between the positive x-axis and the ray to the point . By the direct calculation
[TABLE]
Now let us suppose that is a critical point, then
[TABLE]
and
[TABLE]
For the case we obtain
[TABLE]
and from this we can see that the function is a Morse function if and only if . To finish we just have to note that for any given function in a slight modification of the coefficients makes a Morse function, if it is not Morse yet. In summary, Lemma 5.31 applies in this case and in conclusion, there exist a dense set such that for any the solution in the time to the equation
[TABLE]
become and remains as a Morse function with distinct critical values.
Example 5.38**.**
Consider Example 2.4. Let a positive function such that takes its minimum value in a single point , . Then, for in a dense subset of solutions to the equation
[TABLE]
become and remain Morse function with different critical values and the same number of critical points as
[TABLE]
6. Gohberg’s lemma
This section is dedicated to the proof of Gohberg’s Lemma (Theorem 4.1) in the context of the non-harmonic analysis of boundary value problems.
Proof of Gohberg’s lemma:.
Our proof consists of three parts.
First: since is bounded in then for each we can take a such that the value is arbitrarily close to . Now by definition of we can take a subcollection of so that
[TABLE]
By the compactness of the collection must have an acumulation point . This implies that each neigbourhood of contain infinitely many points of . Thus there exists a subsequence of points in the set that satisfy
[TABLE]
For simplicity we will rename this sequence as the original . Now let be an arbitrary positive real number. Let us take and a smooth bounded bump function so that
[TABLE]
and
[TABLE]
If we define
[TABLE]
then
[TABLE]
Second: we assert that the sequence converges to zero weakly. For this we just have to see that given any we have that
[TABLE]
is the complex conjugate of the -Fourier coefficient of the function , and obviously as . Hence for sufficiently large and any compact operator , we have
[TABLE]
because compact operators map weakly convergent sequences into strongly convergent sequences.
Third: we have the following lemma.
Lemma 6.1**.**
* as .*
If we assume the lemma for a moment then, for sufficiently large
[TABLE]
So, by (G1), (G2) and (G3) we get for sufficiently large that
[TABLE]
Letting we get
[TABLE]
Finally, using the fact that is an arbitrary positive number, we have
[TABLE]
The proof is complete. ∎
Proof of Lemma 6.1:.
In the distribution sense we can write
[TABLE]
for any . In particular for we have
[TABLE]
By Taylor’s formula (Proposition 3.27) given any , we have
[TABLE]
in some neighborhood of . Thus
[TABLE]
Then we have
[TABLE]
Finally, since and , it is clear that there exist constants and such that
[TABLE]
and
[TABLE]
This implies
[TABLE]
as , concluding the proof. ∎
Acknowledgments
The first author thanks the support of Carlos Andres Rodriguez Torijano during the development of this work.
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