Asymptotics of eigenvalues of large symmetric Toeplitz matrices with smooth simple-loop symbols
A.A. Batalshchikov, S.M. Grudsky, I.S. Malisheva, S.S. Mihalkovich, E., Ramirez de Arellano, V.A. Stukopin

TL;DR
This paper investigates the asymptotic distribution of eigenvalues for large symmetric Toeplitz matrices with smooth symbols forming a simple loop, providing uniform expansions as matrix size grows.
Contribution
It offers a comprehensive asymptotic description of all eigenvalues for symmetric Toeplitz matrices with smooth simple-loop symbols, extending understanding of their spectral behavior.
Findings
Eigenvalues follow a specific asymptotic pattern
Uniform expansion valid for all eigenvalues
Results applicable to large matrix dimensions
Abstract
This paper is devoted to the asymptotic behavior of all eigenvalues of Symmetric (in general non Hermitian) Toeplitz matrices with moderately smooth symbols which trace out a simple loop on the complex plane line as the dimension of the matrices increases to infinity. The main result describes the asymptotic structure of all eigenvalues. The constructed expansion is uniform with respect to the number of eigenvalues. Keywords: Toeplitz matrices, eigenvalues, asymptotic expansions
| 20 | 40 | 80 | 160 | 320 | |
|---|---|---|---|---|---|
| 3.2e-03 | 8.8e-04 | 2.3e-04 | 5.9e-05 | 1.5e-05 | |
| 3.9e-04 | 5.6e-05 | 7.2e-06 | 9.2e-07 | 1.2e-07 |
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Taxonomy
TopicsRandom Matrices and Applications · Spectral Theory in Mathematical Physics · Advanced Algebra and Geometry
Asymptotics of eigenvalues of large symmetric Toeplitz matrices with smooth simple-loop symbols
A.A. Batalshchikov
ASM Solutions LLC, Nyzhnyaya Pervomayskaya Str. 48/9, Moscow, Russia, e-mail: [email protected]
S.M. Grudsky
CINVESTAV, Departamento de Mathematicas, Ciudad de Mexico 07360, Mexico, e-mail: [email protected], tel.+52 55 5747 3800 ext.6457
I.S. Malisheva
344090, South Fedederal University, Rostov-on-Don, Milchakova str. 8-A, Russia
S.S. Mihalkovich
344090, South Fedederal University, Rostov-on-Don, Milchakova str. 8-A, Russia
E. Ramírez de Arellano
CINVESTAV, Departamento de Mathematicas, Av. Instituto Politécnico Nacional 2508, Mexico, tel.+52 55 5061 3869
V.A. Stukopin
-
Moscow Institute of Physics and Technology (MIPT)
-
SMI of VSC RAS (South Mathematical Institute of Vladikavkaz Scientific Center of Russian Academy of Sciences)
-
Interdisciplinary Scientific Center J.-V. Poncelet (CNRS UMI 2615) and Scoltech Center for Advanced Study
Abstract
This paper is devoted to the asymptotic behavior of all eigenvalues of Symmetric (in general non Hermitian) Toeplitz matrices with moderately smooth symbols which trace out a simple loop on the complex plane line as the dimension of the matrices increases to infinity. The main result describes the asymptotic structure of all eigenvalues. The constructed expansion is uniform with respect to the number of eigenvalues.
keywords:
Toeplitz matrices , Eigenvalues , Asymptotic expansions
MSC:
Primary 47B35 , Secondary 15A18 , 41A25 , 65F15
††journal: LINEAR ALGEBRA AND ITS APPLICATIONS
1 Introduction
Given a function in on the complex unit circle we denote by the l-th Fourier coefficient
[TABLE]
, and by the Toeplitz matrix .
The object of our study is the behavior of the spectral characteristics (eigenvalues and singular numbers, eigenvectors, determinants, condition numbers, etc.) of Toeplitz matrices in the case when the dimension of the matrices tends to infinity. It has been intensively studied for a century (see [1], [2], [3], [4], and literature cited there). This problem is important for statistical mechanics and other applications ([1], [5], [6], [7], [8]). First of all, we mention the numerous versions of the Szegö theorem on the asymptotic distribution of eigenvalues and theorems of Abram-Parter type on the asymptotic distribution of singular numbers ([9], [10], [11], [12]). There is a rich literature devoted to the asymptotics of the determinants of Toeplitz matrices. (see monographs [2], [3], papers [13], [14], [15], [5] and literature cited there). Much attention has been paid to the asymptotics of the largest and smallest eigenvalues ([16], [17], [18]).
We note that articles on the individual asymptotics of all eigenvalues have appeared quite recently. Thus, cases of real-valued symbols (self-adjoint Toeplitz operators) satisfying the so-called SL (Simple-Loop) condition were studied in the articles [19], [5], [20]. In these articles, the cases of polynomial, infinitely smooth, having 4 continuous derivatives of symbols were successively considered.
Finally, a symbol which has continuous first derivative and satisfies certain additional conditions at the minimum and maximum points is considered in [21]. In [22], the case of a symbol that has a 4th order zero and thus does not satisfy the conditions of a simple loop is studied.
The asymptotic expansions of all eigenvalues are constructed in the case of essentially complex-valued symbols having singularities of the Fisher-Hartwig type in the articles [23], [24], [25], [26]. We note that the complex-valued (non self-adjoint) case is more complicated than the real-valued one, because finding the location of the limit set of eigenvalues of Toeplitz matrices with tending to infinity is a nontrivial question. This question is resolved in [13] for the case of the Fisher-Hartwig singularities considered in the above-mentioned papers. In this paper it is shown that the limit set coincides with the image of the symbol in the complex plane.
There is another well-known case, when the limit set also coincides with the symbol image. It is the case when this image is a “curve without an interior”. Using this fact, in [27] we solved the problem of the asymptotic behavior of the eigenvalues of Toeplitz symmetric matrices with a polynomial symbol satisfying the following condition. Namely, the symbol passes its own curve-image exactly two times, when the variable makes one turn on the unit circle.
Note that the asymptotic structure of the eigenvectors in the case of is considered in the papers [28], [29], [30].
In this paper we generalize the results of the article [27], extending the class of symbols from polynomials to the class of smooth functions that have only two continuous derivatives. For this purpose the method used in [27] needed a significant change. The main obstacle here is that the considered symbol is defined only on the unit circle and does not allow, in general, unlike the case of the polynomial symbol of [27], an analytic continuation to the neighborhood of the unit circle . At the same time, the eigenvalues are not located on the image-curve of the symbol , but they are located in some of its neighborhoods. Therefore, the question arises about the continuation of to the complex plane. In this regard, we replace the symbol with a polynomial approximation (first terms of the Laurent series) of of degree (see (2.4)) and note that the operator corresponding to the Toeplitz matrix does not change. The function is considered in an annulus with the width of order , containing . We show that all eigenvalues lie in the image of the mapping of this annulus. On the one hand, it is necessary to transfer the methods and results of [20], [21] from the real segment to a region in the complex plane. On the other hand, we ensure that all constructions are uniform with respect to the parameters of the family of functions , .
The paper is organized as follows. Section 2 contains the main results of the work. We consider in Section 3 an example with numerical calculations of all eigenvalues for different values of . The presented figures bring up several questions about the location the eigenvalues. The main results that are formulated in Section 2 allows to answer these questions. In particular we give the asymptotics of the eigenvalues that are located near the points and (see Lemma 3.2), where the derivative of the symbol vanishes. This result is a generalization to the complex case of the well-known results about the asymptotics of the smallest and largest eigenvalues of large Toeplitz matrices with real value symbols (see [9], [18]).
Section 4 presents the results on the smoothness properties of the functions and that we need and the functions , are constructed on the basis of , (see (2.10), (2.12)). In Section 5, a nonlinear equation is introduced for determining the eigenvalues and then its asymptotic properties are investigated. Section 6 is devoted to the analysis of the solvability of the above mentioned nonlinear equation in the complex domain surrounding the image-curve of the symbol . The main results are proved in section 7.
2 The main results
Let . We denote by the weighted Wiener algebra of all complex-valued functions , whose Fourier coefficients satisfy
[TABLE]
Let be the integer part of . It is readily seen that if then the function defined by is a -periodic function on . In what follows we consider complex-valued symmetric simple-loop functions in . To be more precise, for , we let be the set of all such that has the following properties:
- (1)
the function is symmetrical in the following sense:
[TABLE]
(It is equivalent to the conditon , .)
- (2)
is a simple (without self-intersections) arc with non-coincident end points : , , , so that for and , .
It should be noted that if we have (2.2) then
[TABLE]
We introduce the following notation. Let be a function from the space such that . We consider the projectors
[TABLE]
We will also denote the image of the operator by . Note that for the symbol the Toeplitz matrix can be identified with the operator
[TABLE]
We introduce then the functions
[TABLE]
and note that
[TABLE]
Therefore, we will use the function instead of the symbol , when it will be convenient, and respectively the function instead of .
Note that the functions and satisfy all conditions of the definition of for a sufficiently large . Besides, if then
[TABLE]
(see Lemma 4.1, i) below).
Introduce the sets:
[TABLE]
[TABLE]
where small enough and large enough are fixed positive numbers. Let us denote
[TABLE]
It is well known (see for example [2]) that the limit spectrum of the operator family coincides with the curve . Thus, for sufficiently large the spectrum of is located in the neighborhood of . Moreover, we will show that .
According to the conditions (1)-(2), for any there exists exactly one such that . The symmetry implies that the function also has this property: .
For all consider the function
[TABLE]
(Note that , therefore the function goes to zero at a single point ). In a similar manner, for all there exist , such that
[TABLE]
It will be shown below that the point , satisfying condition (2.11) (see Lemma 4.3) is unique.
Together with (2.10) we consider the function
[TABLE]
which is a polynomial of powers of and of finite degree and does not vanish in the domain , . We show that this function allows a Wiener-Hopf factorization of the form
[TABLE]
where is a polynomial of degree of the variable . We introduce the function
[TABLE]
Note that in the case of , () (2.13) the function can be represented as
[TABLE]
We also introduce the function
[TABLE]
where the integrals in (2.14) and (2.15) are understood in the sense of the principal value. It is more convenient for us to consider the introduced functions as functions of the parameter ():
[TABLE]
and
[TABLE]
Introduce the values
[TABLE]
We will also need the following small areas:
[TABLE]
where the constants does not depend on and decrease to 0 with (see (6.5)). Now we are ready to formulate the main results of this work. Let , be a numeration of the eigenvalues of the operator .
Theorem 1**.**
Let be a symbol such that , . Then, for a sufficiently large natural number , the following statements hold:
- i)
all eigenvalues are different, and for , 2. ii)
the values such that satisfy the equation
[TABLE]
with where as uniformly respect to . 3. iii)
Equation (2.21) has a unique solution in the domain .
Theorem 2**.**
Under the conditions of the Theorem 1
[TABLE]
where
[TABLE]
as uniformly in . The functions can be calculated explicitly; in particular
[TABLE]
Theorem 3**.**
Under the conditions of Theorem 1
[TABLE]
where
[TABLE]
as uniformly in . The coefficients can be calculated explicitly; in particular
[TABLE]
3 Numerical example and the consequences of the main results
Define a symbol by the function ():
[TABLE]
(it is more convenient for us to consider the symbol in this section on the segment ) where:
[TABLE]
The expression for the constants are derived from the conditions . (The equalities and are a consequence of the symmetry of function .) It can be verified that the constructed function satisfies the conditions (1) and (2) at the begining of Section 2. (The condition for can be verified numerically.)
We can see that the third derivative of the symbol has singularities at the points and . It is easy to see that for arbitrary small .
The image of the symbol and the eigenvalues of the matrices for and are shown in the Figure 3.1 and Figure 3.2 correspondingly. If we look at these Figures then we can make the following observations:
The limit set of the eigenvalues for if really coincide with . 2. 2.
The points of concentration for the eigenvalues of are and . The distance between consecutive eigenvalues in neighborhoods of and is much less than outside of these neighborhoods. 3. 3.
Some eigenvalues are located under the curve and others above the curve.
We are going to show that Theorem 3 allows to explain and clarify these observations.
Designate the spectrum of by . Then the limit set of the eigenvalues of the sequence is the following:
[TABLE]
The next Lemma is a direct consequence of the Theorem 3.
Lemma 3.1**.**
Under the conditions of Theorem 1
[TABLE]
In addition
[TABLE]
(Here is the distance between the point and the curve in the complex plane).
Consider now the observation 2. The situation in the neighborhoods of the points and clarifies the following statement.
Lemma 3.2**.**
Let the conditions of the Theorem 1 be fulfilled. Then:
- i)
if , then the following asymptotic formula is true:
[TABLE]
where
[TABLE] 2. ii)
if , then the following asymptotic formula is true:
[TABLE]
where
[TABLE]
Proof.
Since then, according to (2.22), we have:
[TABLE]
Consider i). We have in this case that
[TABLE]
Taking into account that
[TABLE]
, and , one has
[TABLE]
Thus we get i). Case ii) is proved analogously. ∎
Thus Lemma 3.2 shows that the distance between consecutive eigenvalues located in a neighborhood of the point is of . So if is bounded (“the first eigenvalues”) then this distance is of
[TABLE]
The same result is true for neighborhoods of the point (“the last eigenvalues”). On the other hand for , where is fixed small enough (inner eigenvalues) Theorem 3 give that
[TABLE]
Thus (3.3) and (3.4) confirm and explain of the observation 2 above.
Pass to observation 3. Consider “inner eigenvalues” that is . Suppose that the formula (2.22) give to us that
[TABLE]
Let , then
[TABLE]
Thus is located on the normal to the curve at the point with exactitude .
In addition we can see that the point is located “above” or “below” of the curve depending the sign of the real number . Moreover, formula (3.5) give us that is the distance between and .
It should be noted that Theorem 3 has not only a qualitative sense but also a qualitative (numerical) one. If one has numerical values for the function we can calculate all eigenvalues , very rapidly for different values of . This idea was applied in the article [31] (in case of real valued symbols) where the function was calculated with the help of the eigenvalues for not very large .
In the rest of this section we illustrate the accuracy of asymptotic formulas. Introduce the notation for approximated eigenvalues from (2.22):
[TABLE]
The relative approximation error will be characterized by the following values:
[TABLE]
The resulting accuracy of the spectrum of is shown in table 1.
We can see for even the accuracy good enough for both approximations.
4 Preliminary results
Let the function be . We introduce the operator by the formula
[TABLE]
The following Lemma holds.
Lemma 4.1**.**
- i)
If , , then
[TABLE] 2. ii)
For a natural number , then
[TABLE] 3. iii)
For a real number , then
[TABLE]
Proof.
Items i) and ii) were proved in [20], [21]. Let us prove iii):
[TABLE]
∎
Let . Consider the functions
[TABLE]
The following Lemma gives an asymptotic representation when of the function in the complex domain using the function (and its derivatives) defined on .
Lemma 4.2**.**
Let the point . If , , then
[TABLE]
where ,
[TABLE]
and
[TABLE]
Proof.
We can represent in the form:
[TABLE]
As , we can use the following asymptotics
[TABLE]
So we obtain
[TABLE]
It’s easy to see, due to Lemma 4.1, that
[TABLE]
Similarly, for
[TABLE]
Finally,
[TABLE]
∎
Now we can prove the correctness of the introduction of the value (see (2.11))
Lemma 4.3**.**
Let , . Then mapping
[TABLE]
is a bijection for a sufficiently large natural number .
Proof.
The surjectivity of this mapping follows from the definition of the set .
We will prove injectivity by contradiction. Suppose that for each there exists couple of different points and such that
[TABLE]
Without loss of generality, we can assume that the sequences , and have limits respectively, and . It is obvious that because of , and mapping is injective by condition (2). Suppose that . Then by (4.2) we have
[TABLE]
Applying Taylor’s formula, we obtain
[TABLE]
The latter is impossible since
[TABLE]
Thus, or . Let’s suppose for definiteness, that . Then for a sufficiently large natural number and where is a small number. We will show that in this case the equality (4.3) is also impossible. Indeed
[TABLE]
where and are segments of the complex plane connecting these points. We note that, identity (4.4) is true because . We rewrite (4.4) as
[TABLE]
Let us estimate the integral term. Since , , then .
Therefore, the function is uniformly continuous in with respect to . Thus, the following estimate holds for the difference in the integral expression (4.5)
[TABLE]
which is uniform with respect to . Replacing the variables in (4.5) by and we obtain
[TABLE]
Thus from (4.5) we get that for a sufficiently large :
[TABLE]
Further, taking in account that
[TABLE]
where and , we obtain
[TABLE]
Consequently, , which contradicts (4.3). Case is treated similarly. ∎
Remark 4.1**.**
The function is analytic, therefore it is a conformal mapping of the domain onto .
Now consider the function of the form (2.10), where . It is convenient to consider it in two forms. As a function, the second argument of which is :
[TABLE]
and as a function, the second argument of which is :
[TABLE]
Similarly, we will consider (2.12) in the form
[TABLE]
and in the form
[TABLE]
The following Lemma gives conditions for the functions introduced above and for their partial derivatives to be in .
Lemma 4.4**.**
Let , . If , and , then
- i)
, and
[TABLE]
[TABLE]
and
[TABLE] 2. ii)
for , we have that
[TABLE]
and
[TABLE]
[TABLE]
[TABLE] 3. iii)
for , we have
[TABLE]
Here all values of “const” do not depend on , , , and , respectively.
Proof.
We represent the function in the form
[TABLE]
where
[TABLE]
Since , we get
[TABLE]
Here the are responsible for summation over and , respectively. We estimate the first term.
[TABLE]
Changing the order of summation, we have
[TABLE]
Let us get the estimate of type (4.10). For this we use the following inequality:
[TABLE]
which is true for all real (in particular for ), and complex , such that
[TABLE]
where is a fixed number. Then
[TABLE]
It is not difficult to show that
[TABLE]
then
[TABLE]
Similarly, it can be shown that
[TABLE]
Obviously, the last two inequalities imply the fulfillment of the first inequality (4.10). The second relation (4.10) is true by symmetry . The inequality (4.12) also follows from (4.10) if instead of we take the difference and use the statement of the Lemma 4.1, i). The inequality (4.11) is proved in the same way as in (4.20), it should only be replaced with in (4.17), infinite upper limits by to , and take into account that for the condition (4.19) is satisfied because , and value .
Let us prove item ii). According to Lemma 4.1 ii), if , then
[TABLE]
[TABLE]
Therefore, in case , the first of the relations (4.13) is proved. By the symmetry of we can argue that the second of the inequalities is proved. (4.13) in case . Now let , in case of the first of the relations (4.13), using (4.17) we have
[TABLE]
Then, by analogy with (4.18), we can use the inequality
[TABLE]
which is true for all real and complex because (4.19). Then we get
[TABLE]
The assertion for and the other assertions ii) are proved by analogy with i) and by taking into account the property (4.21). We turn to the proof of iii). Differentiating (4.22) times over , we obtain
[TABLE]
Thus, using (4.23), (replacing with ), we get
[TABLE]
The case of the function is treated similarly. ∎
Lemma 4.5**.**
Let . If , , then
[TABLE]
where and besides
[TABLE]
The proof of this Lemma is carried out on the basis of the previous Lemma, similarly to the Lemma 4.2.
An important role in the theory of Toeplitz operators is played by the concept of the topological index of a function.
Definition 1**.**
Let the function be continuous on the unit circle , and , , then the topological index of the function with respect to the point is an integer of the form
[TABLE]
where is the increment of the continuous branch of the argument of the function , when the point makes a full turn on the curve in the positive direction.
Consider the problem about topological index of the functions and .
Lemma 4.6**.**
Let , . Then for any we have
[TABLE]
and for any , we have
[TABLE]
Proof.
For any the function . In addition, due to the symmetry we can see that the image of , represents a curve without interior, described twice: once and back, when describe the segments and , respectively. Thus, the first relation in the formulation of Lemma 4.6 is proved. The second is proved similarly. ∎
Let us now consider the sequence of functions of the type (2.13)- (2.14), (2.17) and compare it with the limit function (2.15)-(2.16)
[TABLE]
It’s obvious that for and . Since is a compact set we have
[TABLE]
Thus, according to Lemma 4.5, there is such a large enough natural number , that
[TABLE]
To analyze the functions , , we need generalized Hölder classes. We say that , where is a compact domain of the complex plane , if the following condition is satisfied:
[TABLE]
We define the class . Let us say that , , if . Moreover, the norm of the function in this space is introduced by the formula:
[TABLE]
Note that . We also agree that . In the following, we use the following known result. (see [20], Lemma 3.6).
Lemma 4.7**.**
Let , , then , where , .
Introduce the following notation:
[TABLE]
and
[TABLE]
Then we get that
[TABLE]
and
[TABLE]
Lemma 4.8**.**
Let the function , , then
- i)
, where , ; 2. ii)
the point allows following representation
[TABLE]
where
[TABLE]
[TABLE]
Proof.
According to Lemma 4.6, for any we can choose a continuous branch of the , moreover this function will be continuous in . Further, according to the well-known theorem of the theory of Banach algebras since and the relation (4.25) is satisfied, and the norm is continuous in . Note that the function also has these properties, since the Cauchy singular integral operator involved in the definition of the function is bounded in the space .
This implies that the function has partial derivatives with respect to (with a fixed ), up to the order of and . On the other hand, has continuous partial derivatives with respect to . Indeed:
[TABLE]
Applying integration by parts times to the last integral, we obtain
[TABLE]
Thus, we obtain that if (), then
[TABLE]
From the last two relations it follows that for we obtain:
[TABLE]
Indeed, taking for example, , we get
[TABLE]
Similarly
[TABLE]
moreover
[TABLE]
where the “const” is independent of .
Let now , then
[TABLE]
where and
[TABLE]
According to (4.27) we have
[TABLE]
where . To estimate , we use an inequality of the form:
[TABLE]
where and “const” does not depend on . Then it is easy to understand that
[TABLE]
Thus, the Lemma 4.8 is proved. ∎
5 Equation for the eigenvalues
In this section we derive an equation for finding the eigenvalues of the considered Toeplitz matrices and subject this equation to asymptotic analysis when the parameter . So, we consider the standard equation for finding eigenvalues and eigenvectors:
[TABLE]
in the space . Let us present the expression as a product , where is the continuous non-degenerate zero index function and is a Laurent polynomial with three terms, which inherits the zeros of the original function . Further, through some transformations we reduce (5.1) to an equation with an invertible operator on the left-hand side. By applying the operator to this equation and considering the zeros of we get a homogeneous system of linear equations, the main determinant of which gives us the above-mentioned equation for finding eigenvalues.
We first prove the following result.
Lemma 5.1**.**
Let , , then there is such a natural , independent of so that for all and for all the operator is invertible and besides
[TABLE]
where do not depend on and .
Proof.
According to Lemma 4.6, for all . Thus the finite section method (see, for example [2]) ensures the existence of a natural number such that for the operator is invertible. Since the set is compact, then, for all from , we can choose a single number such that for
[TABLE]
where does not depend on and .
According to the Lemma 4.5 for all small enough there is a number such that for
[TABLE]
where , , (), and the numbers and does not depend on and . Obviously (5.3) and (5.4) imply (5.2), where . ∎
We state the main result of this section. Let , . Then the following theorem holds.
Theorem 4**.**
Let , , and where is a rather large natural number. Then is an eigenvalue of if and only if
[TABLE]
where the functions and are defined by the formulas:
[TABLE]
and .
Proof.
Consider the equation
[TABLE]
Rewrite this equation in the following form
[TABLE]
By the (2.12) the above equation can be rewritten as follows:
[TABLE]
where
[TABLE]
(Recall that .) Multiply equality (5.6) by the base vector . We obtain
[TABLE]
Note that is a finite dimensional orthogonal space projector from to the linear shell of vectors , where . It is easy to see that . We set by definition
[TABLE]
Then equation (5.8) can be rewritten in the following form
[TABLE]
The last equality means that the values of have the following representation
[TABLE]
According to the Lemma 5.1 the operator is invertible, so we get that
[TABLE]
that is
[TABLE]
We introduce the reflection operator acting on the space :
[TABLE]
where
[TABLE]
From the identity , which is easy to verify by simple calculation, we get
[TABLE]
Thus, equation (5.9) we can rewrite in the form:
[TABLE]
Considering that the multiplier disappears when and when , we conclude that and must satisfy the following homogeneous system of linear algebraic equations:
[TABLE]
Note that if then by (5.10) we get . Therefore, the original equation (5.6) has a non-trivial solution if, and only if, the determinant of the system of equations (5) is zero. This is the form of the required equality (5.5). ∎
To investigate the asymptotic behavior of the functions and when , we introduce the Toeplitz operator (infinity dimensional) which corresponds to the matrix . Let be the projector defined by
[TABLE]
where
[TABLE]
and is the Hardy’s famous space. Then
[TABLE]
called the Toeplitz operator with symbol (see [3]).
Subsequent reasoning is essentially based on the general theory of projection methods (see [2], [32], [33]). Recall the definition of Wiener-Hopf factorization. Let the function belong to the Wiener class, i.e. and , . Then there is the representation of the function as the following product:
[TABLE]
where , , and . Here we assume
[TABLE]
By virtue of Lemma 4.6 and equation (4.25), a function is factorisable in the space (see Lemma 4.4 i)), while the factorization factors can be written in the form:
[TABLE]
where the integral is understood in the sense of the principal value. The functions can be analytically continued inside and outside respectively of the unit circle by the formula:
[TABLE]
Note that due to the symmetry , the factorization factors satisfy the following relation
[TABLE]
where the number can be calculated by the formula:
[TABLE]
Similarly, according to Lemmas 4.6 and (4.26), the function also has the Wiener-Hopf factorization:
[TABLE]
Note that the functions represent polynomials of degree of the variables and respectively. In addition, due to (4.11) we have
[TABLE]
Next we need to consider the functions and in the ring area
[TABLE]
(see the definition of in (2.8)). Consider the numbers , .
Lemma 5.2**.**
Let the function then
[TABLE]
Proof.
Let
[TABLE]
Then
[TABLE]
Since ,
[TABLE]
Thus
[TABLE]
∎
The following statement follows from the above Lemma.
Lemma 5.3**.**
Let , , then the functions , with
[TABLE]
Besides, and
[TABLE]
Proof.
According to Lemma 5.2 we get (5.18). Further, by Lemma 4.5 we obtain that for sufficiently large , and for all . Thus, the functions admit a Wiener-Hopf factorization in the space and the following inequalities hold
[TABLE]
Applying Lemma 5.2 and inequality (5.18) we get (5.19). ∎
Now we are ready to get an asymptotic representation of the functions , from the Theorem 4. To do this, we note that the inverse of the Toeplitz operator (5.12), calculated by the formula:
[TABLE]
where , is a Wiener-Hopf factorization in the space (see (5.13)). Thus
[TABLE]
Lemma 5.4**.**
Let , . Then the following asymptotic representation holds
[TABLE]
where, for
[TABLE]
and is given by (5.15).
Proof.
From the definition of (see (5.20)) it follows that
[TABLE]
where
[TABLE]
By using the obvious equalities
[TABLE]
and (5.20) we get
[TABLE]
Thus
[TABLE]
From (5.2)
[TABLE]
Further
[TABLE]
Finally, Lemma 4.1 i) gives
[TABLE]
Thus
[TABLE]
In the above calculations . Consider case , i.e.
[TABLE]
Denote the first and second term in (5.21), respectively, and . Note that and with (5.22)–(5.23), we get
[TABLE]
Thus, Lemma 5.2 implies that
[TABLE]
Consider now . The function and by Lemma 5.3 we have
[TABLE]
In addition, Lemma 4.5 implies that
[TABLE]
where does not depend on and . According to a standard theorem of the theory of Banach algebras, for all , , and in addition
[TABLE]
Thus, according to Lemma 4.1 i) it is possible to show that
[TABLE]
and therefore
[TABLE]
Since
[TABLE]
this Lemma is proved for the case . The case treated similarly. ∎
Denote
[TABLE]
Note that as in (5.14) we have
[TABLE]
We introduce a continuous function satisfying the relation
[TABLE]
We take the continuous branch of the function assuming . It is not difficult to see that
[TABLE]
Lemma 5.5**.**
Let , . Then there is such a large enough natural that for all the number is an eigenvalue of if and only if and satisfy the equation
[TABLE]
* where satisfies the following asymptotic relation with respect to :*
[TABLE]
– uniformly in parameter .
Proof.
Considering the results of Lemma 5.4, we rewrite equality (5.5) in the form
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
Considering (5.25), we get
[TABLE]
Let
[TABLE]
then
[TABLE]
The last equation is equivalent to the following set of equations:
[TABLE]
Assuming now
[TABLE]
we get
[TABLE]
Considering now the relations connecting with and , we get now the asymptotic expansion (5.29). ∎
6 Solvability Analysis of Equation (5.28)
Rewrite the equation (5.28) in the form
[TABLE]
where
[TABLE]
and
[TABLE]
Along with (6.1), consider the approximating equation
[TABLE]
We introduce the notion of the modulus of continuity in the complex domain. Let a function be continuous in some bounded domain of the complex plane. Then the modulus of continuity is the function:
[TABLE]
Let us introduce the domains:
[TABLE]
where
[TABLE]
and the norm is defined in the standard way on the set , where . Recall, that
[TABLE]
where , are some fixed positive numbers such that is small enough and is large enough.
The following statement will apply the principle of contractive mappings to the analysis of the solvability of (6.1), (6.3).
Let’s introduce the mappings
[TABLE]
Lemma 6.1**.**
Let the function , . Then, if ,
- i)
* .* 2. ii)
.
Proof.
We prove ii). Let , then for sufficiently large , we get:
[TABLE]
Thus, item ii) of the Lemma is proved.
The item i) is proved similarly if we put . ∎
Theorem 5**.**
Let the function . Then
- i)
For the equation (6.1) has a unique solution , , and all are different. 2. ii)
Let be a solution of the equation (6.3) belonging to . Then for
[TABLE]
where the estimate is uniform in and .
Proof.
Let us prove statement i). For this purpose, consider the sequence
[TABLE]
According to Lemma 6.1 ii), the sequence is contained in the domain . Choose from it some convergent subsequence and denote its limit by . Obviously, satisfies (6.1). Note that for any
[TABLE]
because , (), while . Thus, according to the Lemma 5.5, the numbers , are eigenvalues of the matrix . Since this matrix has at most , then is a unique solution of equation (6.1) in the domain . Denoting , we completed the proof of i).
Let us prove ii). Substituting into the equations (6.1) and (6.3) respectively, and , and subtracting the second expression from the first one, we get
[TABLE]
Since , according to Lemma 4.9, has a derivative that is bounded uniformly in . In this way we obtain
[TABLE]
where
[TABLE]
From (6.6) we get
[TABLE]
From (5.29) it follows that
[TABLE]
and finally follows
[TABLE]
∎
The statement proved above shows that the roots of the equation (6.1) can be approximated by the roots of the equation (6.3) for large values of . Besides, the values can be approximated using the method of successive approximations by the values defined in the following way:
[TABLE]
Lemma 6.2**.**
Let the function , , then the equation (6.3) has a unique solution , and for sufficiently large , the following estimate is valid:
[TABLE]
where
[TABLE]
Proof.
We show that sequence is convergent. Indeed, according to Lemma 4.8, the functions and are bounded uniformly respect to . That is, the value
[TABLE]
Then we have:
[TABLE]
Further
[TABLE]
Similarly
[TABLE]
Since for sufficiently large , then the sequence converges to .
From the estimate (6.9) it follows that
[TABLE]
Assuming in this inequality that and passing to the limit when , we get that
[TABLE]
The assertion of the Lemma obviously follows from this inequality.
∎
Now we are ready to prove the main results of the work.
7 Proof of the main results
Theorem 1 follows from Lemma 5.5 and Theorem 5.
7.1 Proof of Theorem 2
Let . We estimate the error term
[TABLE]
We express from equation (6.1) and obtain
[TABLE]
where the value is given in (6.5). Thus, for sufficiently large we get
[TABLE]
where is given by formula (5.26).
Let now . Then, according to Lemma 4.8, with norm bounded uniformly in . Thus
[TABLE]
where the estimate is uniform in . Let . Then and has a modulus of continuity with evaluation uniform in . Thus, (7.1) implies
[TABLE]
And we have that
[TABLE]
Thus, from the formulas (7.2), (7.3) we get the following equality
[TABLE]
Take into account that
[TABLE]
(7.2) give Theorem 2 for case .
Now suppose . Then consider the difference
[TABLE]
From Theorem 5, ii)
[TABLE]
On the other hand, the estimate (6.8) gives
[TABLE]
In this way we have
[TABLE]
and we can write
[TABLE]
Since the function has a derivative, according to Lemma 4.8, with -norm bounded uniformly on , then we have that
[TABLE]
Using the Lemma 4.8 again and the relation (7.4), we obtain the statement of the Theorem 2 for the case .
The case of , is treated in a similar way, using the iteration as an approximating expression.
7.2 Proof of the Theorem 3
Proof.
From the proved theorem 2 and the definition of the function we obtain the assertions of the Theorem 3. Indeed, since , consider the Taylor series decomposition at the point for the function .
We prove formula (2.22) for the first two terms of the expansion in the case . As an increment of the argument consider the expression . According Taylor’s formula we have
[TABLE]
Hence, taking into account the definitions of the functions , we obtain the decomposition (2.22):
[TABLE]
Note now that when ,
[TABLE]
The error term is
[TABLE]
It now remains to note that for points lying on the real line, by virtue of Lemma 4.2, we have the equality
[TABLE]
Thus, we obtain that
[TABLE]
We now consider the case of . Repeating the above reasoning, we obtain the required estimate of the remainder:
[TABLE]
Consider the case of :
[TABLE]
Also, as above, using Lemma 4.2, we obtain that
[TABLE]
Thus, we obtain the formula (2.22) and the estimate
[TABLE]
The general case is proved similarly. ∎
Acknowledgments
Research of the authors S.M. Grudsky and E. Ramírez de Arellano was supported by CONACYT grant 238630.
Research of the author I.S. Malisheva was supported by the Ministry of Education and Science of the Russian Federation, Southern Federal University (Project № 1.5169.2017/8.9).
Research of the author V.A. Stukopin was supported by “Domestic Research in Moscow” Interdisciplinary Scientific Center J.-V. Poncelet (CNRS UMI 2615) and Scoltech Center for Advanced Study.
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