Third order operators with three-point conditions associated with Boussinesq's equation
Andrey Badanin, Evgeny Korotyaev

TL;DR
This paper studies a third order differential operator with specific boundary conditions linked to the Boussinesq equation, deriving eigenvalue asymptotics and trace formulas to aid inverse spectral analysis.
Contribution
It introduces a detailed spectral analysis of a non-self-adjoint third order operator with three-point conditions related to the Boussinesq equation, including eigenvalue asymptotics and trace formulas.
Findings
Eigenvalue asymptotics at high energy are established.
Trace formula for the operator is derived.
Eigenvalues form an auxiliary spectrum for inverse problems.
Abstract
We consider a non-self-adjoint third order operator on the interval with real 1-periodic coefficients and three-point Dirichlet conditions at the points 0, 1 and 2. The eigenvalues of this operator consist an auxiliary spectrum for the inverse spectral problem associated with the good Boussinesq equation. We determine eigenvalue asymptotics at high energy and the trace formula for the operator.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Numerical methods in inverse problems · Advanced Mathematical Modeling in Engineering
Third order operators with three-point conditions
associated with Boussinesq’s equation
Andrey Badanin
and
Evgeny L. Korotyaev
Saint-Petersburg State University, Universitetskaya nab. 7/9, St. Petersburg, 199034 Russia, [email protected], [email protected], [email protected], [email protected]
Abstract.
We consider a non-self-adjoint third order operator on the interval with real 1-periodic coefficients and three-point Dirichlet conditions at the points 0, 1 and 2. The eigenvalues of this operator consist an auxiliary spectrum for the inverse spectral problem associated with the good Boussinesq equation. We determine eigenvalue asymptotics at high energy and the trace formula for the operator.
Key words and phrases:
good Boussinesq equation, third order operator, multi-point problem, spectral asymptotics, trace formula
1991 Mathematics Subject Classification:
47E05, 34L20, 34L40
1. Introduction and main results
We consider a non-self-adjoint operator acting on and given by
[TABLE]
where are real 1-periodic coefficients . The operator is defined on the domain
[TABLE]
The multi-point problems for linear ordinary differential operators are well known, see, e.g., the papers [EHH92], [L68], [Po08] and references therein. Papanicolaou [Pa03], [Pa05] considered the non-linear equation associated with the linear fourth order Euler-Bernoulli operators on the circle and studied the multi-point problem for this operator. Trace formulas for multipoint problems for two-term -order differential operators were obtained by Belabbasi [Be83].
The operator is used in the integration of the so-called good Boussinesq equation on the circle,
[TABLE]
see [McK81] and references therein. It is equivalent to the Lax equation , where the operators act on and have the form . Kalantarov and Ladyzhenskaja [KL77] showed that the good Boussinesq equation has blow-up solutions. The spectrum of the operator is an auxiliary spectrum for the Boussinesq equation similar to the Dirichlet spectrum on the unit interval for the Korteweg-de Vries equation on the circle. McKean [McK81] considered the operator with the coefficients . The auxiliary spectrum in the finite-gap case was discussed by Dickson, Gesztesy and Unterkofler [DGU99], [DGU99x]. In addition, there are given some interesting exactly calculating examples. Self-adjoint third order operators associated with the bad Boussinesq equations on the circle was studied by Badanin and Korotyaev [BK12], [BK14]. The inverse scattering theory for the self-adjoint third order operator with decreasing coefficients was developed in [DTT82]. Korotyaev [K16] considered resonances for third-order operator.
Consider the differential equation
[TABLE]
Rewrite this equation in the vector form
[TABLE]
The matrix-valued solution , of the initial problem
[TABLE]
is called the fundamental matrix, here and below is the identity matrix. It has the form
[TABLE]
where are the fundamental solutions of equation (1.3) satisfying the initial conditions (1.4). Each matrix-valued function , is entire, real for and satisfies the Liouville identity for all .
It is well known that the spectrum of is pure discrete and satisfies
[TABLE]
Here is the entire function given by
[TABLE]
see, e.g., [W18], where Green’s function is studied. The spectrum consists of eigenvalues , labeled by
[TABLE]
counting with algebraic multiplicities. Note that some eigenvalues may be non-real, see Fig. 1, and we have no information on how large the algebraic multiplicity of the eigenvalue can be.
In the unperturbed case all eigenvalues are simple, real and have the form
[TABLE]
For the function we introduce the Fourier coefficients
[TABLE]
We formulate our first main results about asymptotics of the eigenvalues.
Theorem 1.1**.**
Let . Then each eigenvalue with large enough is real and has algebraic multiplicity one. Moreover,
[TABLE]
as . If, in addition, , then the eigenvalues satisfy
[TABLE]
Moreover, if , then
[TABLE]
In the nice paper [McK81] McKean studied inverse problems for third order operators on the circle. In particular, he determined the trace formula for the operator in the case . We extend this formula to a larger class of coefficients. Consider the shifted operator given in (1.1), where ,
[TABLE]
The spectrum consists of eigenvalues counting with multiplicities.
Theorem 1.2**.**
Let . Then there exists such that the functions and each , belong to the space . Moreover, the following trace formula holds true:
[TABLE]
the series converges absolutely and uniformly in , where
[TABLE]
In particular, assume that we know for all . Then
a) If, in addition, we know and , then we can recover .
b) If, in addition, we know and , then we can recover .
Remark.
-
McKean [McK81] obtained the trace formula in the case , however, he does not discuss convergence of the series.
-
The proof of Theorem uses the methods from our paper [BK15].
-
Due to Lemma 5.2 ii), each eigenvalue with large enough is simple and it is a smooth function of . Moreover, it is shown in [McK81] that in the case small the motion of the large eigenvalues is quite similar to the motion of the Dirichlet eigenvalues for the Schrödinger operators , see Trubowitz [T77] for the potential and Korotyaev [K99] for the potential . The situation for the eigenvalues inside the bounded disc is more complicated, see the example with the -coefficients in Section 3.3. However, due to Rouché’s theorem, we can control their sum and it is smooth.
-
Let and let . The identity gives that each function satisfies the so-called Dubrovin equation for the operator
[TABLE]
where . Dynamics of the eigenvalues plays an important role in solving the Boussinesq equation. It will be discussed in a separate paper.
The plan of the paper is as follows. The proof of Theorem 1.1 is rather complicated and in Section 2 we give a sketch of proof of this Theorem. Section 3 contains some preliminary simplest relations for the characteristic function and for the fundamental matrix . Moreover, the unperturbed case and the example with and is the periodic -function are considered there. Section 4 is devoted to the Birkhoff method, which is a main tool of our proofs of the eigenvalue asymptotics. We present this method in a general formulation, since in the next parts of the paper it will be applied in three different cases, depending on the smoothness of the coefficients. In Section 5 we consider the eigenvalues for the case . There we prove the Counting result and determine the asymptotics for this case. The eigenvalue asymptotics for the case is determined in Section 6 and for the case in Section 7. We prove the trace formula in Section 8.
2. Sketch of proofs
2.1. Factorization formula
In this Section we describe briefly our proof of Theorem 1.1. Our main tool is an asymptotic analysis of the fundamental matrix at large . Such analysis is standard for Schrödinger operators. For this case (even with the matrix coefficients) all entries of the fundamental matrix are bounded for (in the unperturbed case they have the form ). But in our case we meet additional difficulties. For our third order operator all entries of the fundamental matrix are unbounded as (in the unperturbed case they have the form (3.4)). In order to obtain the asymptotics of the fundamental matrix we use the method developed by Birkhoff [B08]. Now we give a brief description of this method, see the details in Section 4.
Let , where
[TABLE]
Introduce the diagonal matrix and the matrix by
[TABLE]
[TABLE]
The key point in our proof of the asymptotics is the following factorization formula (2.4) for the matrix-valued solution of equation (1.4).
Theorem 2.1**.**
Let . Then there exists a matrix-valued solution of equation (1.4) such that each function is analytic in for large enough and satisfies
[TABLE]
as , uniformly in .
The factorization formula (2.4) represents the matrix-valued solution of equation (1.4) in the form of product of the bounded matrices and the diagonal matrix, which contains all exponentially increasing and exponentially decreasing factors.
2.2. Sketch of proof of asymptotics (2.4)
Let and let be a matrix-valued solution of equation (1.4). We show how to determine the solution with the needed asymptotics (2.4) using three steps:
Step 1. We introduce the matrix-valued function by
[TABLE]
Substituting the definition (2.5) into equation (1.4) and using the identity
[TABLE]
we obtain that satisfies the equation
[TABLE]
It is easy to find the inverse operator for the operator on the left side of equation (2.6). This would be sufficient in the case of a second order operator. However, for higher order operators, additional steps are required.
Step 2. We introduce a matrix-valued function by
[TABLE]
Then is a solution of the differential equation
[TABLE]
Equation (2.8), as well as the equivalent equations (1.4) and (2.6), has many solutions. In order to find the unique one we choose the solution under the two-side initial conditions
[TABLE]
This choice of solution will lead us to the desired solution of equation (1.4) satisfying the asymptotics (2.4) and this is a crucial point of the method.
Step 3. Let and let be large enough. It is shown in Theorem 4.5 that is the unique solution of the integral equation
[TABLE]
where
[TABLE]
[TABLE]
Note that
[TABLE]
Then the kernel of the integral operator satisfies for all and .
Iterations of the integral equation (2.9) give the asymptotics
[TABLE]
as uniformly in . Then the definition (2.7) gives
[TABLE]
Substituting this asymptotics into (2.5) we obtain the asymptotics (2.4).
2.3. Asymptotics of the characteristic function
Let and let be large enough. Then the fundamental matrix satisfies the identity
[TABLE]
The functions
[TABLE]
are solutions of equation (1.3). In Lemma 3.2 we will prove that
[TABLE]
where
[TABLE]
The asymptotics (2.4) (see Lemma 5.2 i)) gives
[TABLE]
as . This asymptotics and the identity (2.15) show that the large positive zeros of the function coincide with the zeros of the third order determinant .
Moreover, substituting the asymptotics (2.4) into the definition (2.14) and using (2.3) we obtain
[TABLE]
as uniformly in . These asymptotics show that the solutions are Jost type solutions of equation (1.3).
For simplicity, consider the real , see Lemma 5.3 for the situation in the whole sector . The definition (2.2) gives that satisfy
[TABLE]
[TABLE]
and
[TABLE]
Substituting these asymptotics into the definition (2.16) we obtain
[TABLE]
Substituting the last asymptotics and the asymptotics (2.17) into the identity (2.15) we get the following asymptotic reprsentation for the function :
[TABLE]
as . Thus, we reduce the asymptotic analysis of the zeros of the third-order determinant in the identity (2.15) to the analysis of the zeros of the simpler second-order determinant in (2.19).
Of course, the rough asymptotics (2.18) does not give us asymptotics of the zeros of the function . However, we can take the next terms in the iteration series for the solution of the integral equation (2.9). It improves the asymptotics of the matrix-valued function and then the asymptotics of and , due to the definition (2.14). In this way, using the identity (2.19) we determine the asymptotics (1.11)–(1.13) of the zeros of the function .
3. Characteristic function
3.1. Properties of the characteristic function
In the following Lemma we establish some simple properties of the function . Moreover, there we prove for completeness that the spectrum of the operator is the set of zeros of the entire function given by the definition (1.7).
Denote by the function for the operator given by (1.1)–(1.2) and let be zeros of the function .
Lemma 3.1**.**
Let . Then
i) The spectrum of the operator satisfies (1.6).
ii) The function is real for and satisfies
[TABLE]
where . The zeros of the function satisfy
[TABLE]
Proof. i) Assume that is the solution of equation (1.3) satisfying the three-point conditions
[TABLE]
Then
[TABLE]
where are the fundamental solutions and are complex constant. The conditions (3.3) yield and
[TABLE]
The solution is non-trivial iff . The function is entire, then the spectrum is pure discrete and satisfies (1.6).
ii) The definition (1.7) shows that is real for . Substituting instead of in equation (1.3) we obtain that the operator is unitarily equivalent to the operator . This yields (3.1). The identity (3.2) follows.
Remark. Using these results we reduce the analysis of the function in to the analysis in the domain and the analysis of the eigenvalues at to the analysis at .
3.2. The unperturbed case
If , then the fundamental solutions have the forms
[TABLE]
here and below
[TABLE]
[TABLE]
Then for the function at we have
[TABLE]
The standard formula for the Vandermonde determinant gives
[TABLE]
Here only the first factor has zeros in and then the zeros , of are simple and have the form (1.9).
3.3. Example: -coefficient
In order to illustrate the movement of eigenvalues we consider an example. Consider the operator with a periodic -potential, where . The standard calculations show that the fundamental solutions satisfy
[TABLE]
The results of numeric analysis of the zeros of the function , defined by (1.7), are shown in Fig. 2. Here we take and have
[TABLE]
for some and
[TABLE]
Moreover, the extreme positions of coincide with the branch points of the so called multiplier curve for the operator with the periodic coefficients on the axis, see [McK81]. Thus, the eigenvalue :
-
starts as from the point moving to the left,
-
collides with the eigenvalue at the point as ,
-
leaves the real axis and moves along the oval curve in the complex plane,
-
returning to the real axis it collides with the eigenvalue again at the point as ,
-
moves along the real axis to the right until the branch point ,
-
turns back and returns to the point as .
The motion of is similar, see Fig. 2. The other eigenvalues move similarly to the eigenvalues of the Dirichlet problem for the Scrödinger operator associated with the Korteweg-de Vries equation. Branch points of the multiplier curve satisfy If changes from [math] to , then the eigenvalue runs all interval making complete revolutions.
Thus, the movement of the first eigenvalues is complicated. It can start moving along the real axis, then go out into the complex plane, and then return to the real axis again. When the parameter becomes larger, the movement of the eigenvalues becomes even more complicated. Therefore, the analysis of such eigenvalues is difficult.
3.4. Fundamental solutions
The matrix-valued function is entire, however it is difficult to obtain its asymptotics at large . We introduce other matrix-valued solutions of equation (1.4) that differ from the solution . We take a matrix-valued function , such that
-
satisfies equation (1.4) on ,
-
each is analytic on a domain and
-
for all .
We can always achieve the fulfillment of the condition 3) by choosing the domain that is sufficiently small.
The fundamental matrix satisfies the identity
[TABLE]
More often we need the entries from the first line of the matrix-valued function . The functions
[TABLE]
are fundamental solutions of equation (1.3). Introduce the matrix-valued function by
[TABLE]
The functions and are analytic in , but, in general, they are not entire.
Lemma 3.2**.**
Let . Then the function has the form
[TABLE]
and the function has an analytic extension from onto the whole sector . Thus, the identity (3.9) holds for all .
Proof. The function is a solution of equation (1.4), then
[TABLE]
For each we have
[TABLE]
Then
[TABLE]
The definition (1.7) implies the identity
[TABLE]
Substituting the identities (3.10) and (3.12) into (3.11) we obtain (3.9).
Remark. The asymptotics (2.17) shows that does not vanish at large and then the zeros of the function coincide with the zeros of at high energy.
4. Birkhoff’s method
4.1. Birkhoff’s differential equation
In Section 2 we rewrote the problem (1.4) in the form (2.6), i.e.,
[TABLE]
where
[TABLE]
We analyze equation (4.1) by using our version of the Birkhoff method of asymptotic analysis of higher-order equations, see [BK11], [BK14x]. Now we present this method for third order case.
Introduce the domains
[TABLE]
where the sector has the form (2.1).
Condition 4.1**.**
Let a - matrix-valued functions and , satisfy:
1) is diagonal,
2) and for all , where is large enough,
3) and are analytic in and
[TABLE]
as , uniformly in , where is given by (2.2) and ,
4) is off-diagonal, that is .
We consider the following differential equation on :
[TABLE]
where , is large enough, , and the -matrix-valued functions and satisfy Conditions 4.1. Below , and have different forms depending on smoothness of the coefficients . For example, if , then equation (4.5) has the form (4.1).
Remark. 1) Here and always below our asymptotics at large are uniform in .
- The hypothesis 4 in Condition 4.1 is assumed without loss of generality, since we can replace the diagonal part of into the left hand side of equation (4.5).
Birkhoff [B08] developed a method for obtaining asymptotics of fundamental solutions of higher-order linear differential equations. He found a way to rewrite the differential equation (1.4) in the form of a Fredholm integral equation with a small kernel at high energy. Birkhoff used a scalar form of the differential equation. However, the matrix form (4.5) is more convenient for analysis. Below we give our version of the Birkhoff method for third order differential equations, the case of fourth order equations see in [BK14x].
First of all, we rewrite equation (4.5) in the form (4.7) convenient for the application of the Birkhoff method.
Lemma 4.2**.**
Let the - matrix-valued functions and satisfy Condition 4.1 and let , where is large enough. Let a matrix-valued function and a matrix-valued function satisfy
[TABLE]
Then is a solution of the differential equation (4.5) if and only if is a solution of the differential equation
[TABLE]
Proof. Let the matrix-valued function satisfy the differential equation (4.5) and let (4.6) be fulfilled. Then
[TABLE]
which gives
[TABLE]
Thus, satisfies the differential equation (4.7).
Conversely, let the matrix-valued function have the form (4.6) and let satisfy the differential equation (4.7). The identities
[TABLE]
show that satisfies the differential equation (4.5).
4.2. Birkhoff’s integral equation
Below in Theorem 4.5 i) we will prove that the differential equation (4.7) is equivalent in some sense to an integral equation. But first we will study this integral equation. We introduce the following class of the Birkhoff operators.
Definition 4.3**.**
Let be an integral operator in the space of continuous matrix-valued functions on given by
[TABLE]
where and satisfy Condition 4.1 and
[TABLE]
If is large, then, due to (2.10), the kernel of the integral operator is bounded. Therefore, the matrix-valued integral equation
[TABLE]
that we call the Birkhoff equation, has a unique solution for large .
Lemma 4.4**.**
Let the - matrix-valued functions and satisfy the Condition 4.1 and let be the integral operator given by Definition 4.3.
i) Let , where is large enough, and let . Then the integral equation (4.10) has the unique solution . Moreover, each matrix-valued function , is analytic in and satisfies
[TABLE]
as , uniformly on , where
[TABLE]
ii) The function satisfies
[TABLE]
[TABLE]
as uniformly in . Moreover, the matrix-valued functions
[TABLE]
satisfy
[TABLE]
as uniformly in .
Proof. i) Let , where is large enough. Due to the asymptotics (4.4) and the estimates (2.10), the function satisfies for all and for some . Then the operator is bounded in . Then the operator in equation (4.10) is a contraction. Consider the iteration series
[TABLE]
The matrix-valued functions , satisfy for some , where is any matrix norm. Then the series (4.17) converges absolutely and uniformly on any compact set in . Each matrix valued function , is analytic in . Then each matrix valued function , is analytic in and satisfies the asymptotics (4.11).
ii) The definitions (4.8) and (4.12) and the asymptotics (4.4) give
[TABLE]
The definition (4.9) implies (4.13) and (4.14).
Let . Then the asymptotics (4.14) yield
[TABLE]
and
[TABLE]
Moreover,
[TABLE]
uniformly in . Then the asymptotics (4.19) implies
[TABLE]
uniformly in . Similarly,
[TABLE]
The asymptotics (4.13), (4.18), (4.20) and (4.21) yield the asymptotics (4.16).
4.3. Factorization theorem
Let , where is large enough. Introduce the fundamental matrix-valued solution of equation (4.5) by the condition
[TABLE]
Then
[TABLE]
Now we prove the basic result of this Section, the factorization formula (4.24) for the solution . In fact, this formula together with the asymptotics (4.11) gives the high energy asymptotics of the fundamental matrix, see Remark below.
Theorem 4.5**.**
Let the - matrix-valued functions and satisfy Condition 4.1 and let , where is large enough.
i) The matrix-valued function , satisfies the integral equation (4.10) if and only if it satisfies the differential equation (4.7) and the initial conditions
[TABLE]
ii) Let a matrix-valued function and a matrix-valued function satisfy
[TABLE]
Then is the solution of the initial problem for equation (4.5) if and only if is the solution of the integral equation (4.10).
Proof. i) Let satisfy equation (4.7). In terms of matrix entries we have
[TABLE]
Assume, in addition, that satisfies the initial conditions (4.23). Integrating equation (4.25) and using the conditions (4.23) we obtain
[TABLE]
for all , and
[TABLE]
Using the definitions (4.9) we rewrite these equations in the form
[TABLE]
The definition (4.8) yields that the function satisfies equation (4.10).
Conversely, let satisfy equation (4.10). In terms of matrix entries equation (4.10) has the form (4.28). Substituting the definitions (4.9) into (4.28) we obtain that the functions satisfy (4.26), (4.27), which yields (4.23). Differentiating the identities (4.26), (4.27), we get that satisfy equations (4.25). Then satisfies equation (4.7).
ii) Let the matrix-valued function be the solution of the integral equation (4.10). Then satisfies the differential equation (4.7) and the initial conditions (4.23). Then the matrix , given by (4.22), satisfies the differential equation (4.5) and the initial condition .
Conversely, let satisfy equation (4.5) and let has the the form (4.24). Substituting (4.24) into (4.5) we obtain that satisfies the differential equation (4.7), and then is the solution of the integral equation (4.10).
Remark. Recall that the matrix-valued functions and are uniformly bounded on , see Lemma 4.4 i). Thus the formula (4.24) represents the fundamental matrix in the form of product of the bounded matrices and and the diagonal matrix which contains all exponentially increasing and exponentially decreasing factors. We have the asymptotics (4.11) of the function , then we have asymptotics of the fundamental matrix .
4.4. Asymptotics of the solutions
Always in this paper, see (5.2), (6.9) and (7.8), the matrix-valued function in (3.6) has the form
[TABLE]
where in (5.2), in (6.9) and in (7.8). In the following Lemma we determine asymptotics of the Jost type solutions , given by (3.7), when satisfies (4.29).
Lemma 4.6**.**
Let . Let the matrix-valued function satisfies: for all , is analytic in and as uniformly in . Let the matrix-valued function be the solution of equation (4.10) for some and and satisfying Condition 4.1. Let the matrix-valued function satisfies (4.29), and let . Then
[TABLE]
as , uniformly in , where
[TABLE]
and are given by (4.15).
Proof. Let , and let . Substituting the definition (2.3) and the asymptotics (4.11) into the definition (4.29) we obtain
[TABLE]
uniformly in , which yields (4.30).
5. Eigenvalues for
5.1. Factorization of the fundamental matrix
In this Section we consider the case . We apply Theorem 4.5 to equation (4.1) in order to obtain the factorization of the fundamental matrix. Preliminary, we have to replace the diagonal part of the matrix from the right side of (4.1) onto the left one in order to get the off-diagonal matrix in the asymptotics of in (4.4) (see (5.4), where the matrix is off-diagonal). Then we obtain the following corollary of Theorem 4.5 on the factorization of the fundamental matrix.
Corollary 5.1**.**
Let . Let be large enough and let . Then the following representation of the fundamental solution holds true:
[TABLE]
for all , where ,
[TABLE]
* is given by the definition (2.3), the diagonal matrix-valued function has the form*
[TABLE]
and is the solution of the integral equation (4.10) with and given by
[TABLE]
Each function , is analytic in .
Proof. Rewrite equation (4.1) in the form
[TABLE]
Equation (5.5) has the form (4.5) with satisfying (5.4). Let be the solution of equation (5.5) satisfying the condition . Theorem 4.5 shows that satisfies the identity (4.24). Substituting (4.24) into the definition (2.5) we obtain the representation (5.1).
Theorem 2.1 follows immediately from the previous result.
Proof of Theorem 2.1. The asymptotics (4.11) gives (2.11). Substituting the asymptotics (2.11) into the identity (5.2) we obtain (2.4).
5.2. Counting Lemma
Let . Let the matrix-valued function be given by (5.2). Now we prove the Counting Lemma for the eigenvalues. Introduce the domains , by
[TABLE]
where , see (1.9), and the contours
[TABLE]
Below we need the identity
[TABLE]
which follows from the definition (2.3).
Lemma 5.2**.**
Let . Then
i) The solutions of equation (1.3) and the function satisfy
[TABLE]
[TABLE]
as , uniformly in . Moreover,
[TABLE]
as and .
ii) For each integer large enough the function has (counting with multiplicities) zeros on the domain and for each exactly one simple zero in the domain . There are no other zeros.
iii) There exists such that each , is real.
Proof. i) We have , and in Lemma 4.6. Then the asymptotics (4.30) and (4.31) give (5.9). Then
[TABLE]
Let . Then the identity (3.5) gives
[TABLE]
Moreover,
[TABLE]
which yields (5.8), here we used , see (5.7). Substituting these asymptotics into the identity (3.9) we obtain (5.10) for . The identity gives (5.10) for .
ii) Let be integer and large enough and let be another integer. Let belong to the contours and for all . Asymptotics (5.10) yields
[TABLE]
on all contours. Hence, by Rouché’s theorem, has as many zeros, as in each of the bounded domains and the remaining unbounded domain. Since has exactly one simple zero in each , and since can be chosen arbitrarily large, the statement follows.
iii) Let . The definition (1.8) and the statement i) show that the zero of the function satisfies: . If , then is also a zero of and . Then there are two zeros of in , which contradicts the statement i).
5.3. Rough eigenvalue asymptotics
Recall that the eigenvalues of the operator are zeros of the entire function given by the definition (1.7). The identity (3.9) and the asymptotics (5.8) show that the large eigenvalues are zeros of the function . The function is analytic in , where is large enough. Using the asymptotic behavior of the function at high energy we reduce in Lemma 5.3 the determinant of the -matrix to the determinant of a -matrix.
The asymptotics (5.9) and the definitions (2.2) give
[TABLE]
as . The asymptotics (5.12) show that for all . Then the function , given by
[TABLE]
is analytic in , where is large enough. Let be the eigenvalue of the operator . Then the identity (3.9) and the asymptotics (5.8) give
[TABLE]
for all large enough. The symmetry (3.2) shows that it is sufficiently to determine the asymptotics for the large positive eigenvalues. Introduce the sector
[TABLE]
Lemma 5.3**.**
Let .
i) Let, in addition, and . Then
[TABLE]
ii) The eigenvalues satisfy
[TABLE]
as .
Proof. i) Let . The asymptotics (5.9) and the definitions (2.2) give
[TABLE]
Let . Then and substituting these asymptotics into the definition (3.8) we obtain
[TABLE]
The asymptotics (5.12) implies
[TABLE]
which yields (5.15).
ii) Let . Lemma 5.2 ii) yields and is real. The asymptotics (5.9) implies
[TABLE]
[TABLE]
[TABLE]
Substituting these asymptotics into (5.15) we obtain
[TABLE]
The identity , see (5.14), gives , which yields (5.16).
5.4. Eigenvalue asymptotics
Now we determine eigenvalue asymptotics for the case . Introduce the Fourier coefficients
[TABLE]
Note that the coefficients, given by (1.10), satisfy
[TABLE]
Lemma 5.4**.**
Let . Then the eigenvalues satisfy the asymptotics (1.11).
Proof. Let and let the matrix-valued function be given by (5.2). Then in the asymptotics (4.29) and in the considered case we have
[TABLE]
see (5.4) and (5.3). The identity (4.31) gives
[TABLE]
where are given by (4.15). Let
[TABLE]
Lemma 5.2 v) shows . Substituting the asymptotics (4.16) into the identity (5.17) and using the definitions (4.2) we obtain
[TABLE]
Then
[TABLE]
and the asymptotics (4.30) gives
[TABLE]
[TABLE]
Substituting these asymptotics into (5.15) and using the identities
[TABLE]
we obtain
[TABLE]
where
[TABLE]
Using the asymptotics we obtain
[TABLE]
The identities (5.14) and (5.18) imply , which gives
[TABLE]
Using the identity we obtain
[TABLE]
which yields the asymptotics (1.11) as .
This identity (3.2) and give the asymptotics (1.11) for .
6. The case
6.1. Transformation of the differential equation
Integrating by part in the integral operator of the integral equation (4.10), given by the definition (4.8), and repeating the previous analysis we obtain the asymptotics for the case of smooth coefficients. However, in order to simplify the calculations we use the other method based on an additional transformation of the differential equation, see Fedoryuk [F12, Ch V.1.3].
Let , let be large enough and let . Introduce the matrix-valued function by
[TABLE]
where
[TABLE]
The matrix is invertible at large and we introduce the matrix by the identity
[TABLE]
where the solution of the problem (4.1).
Lemma 6.1**.**
Let and let , where is large enough. Then the matrix-valued function , given by (6.3), satisfies the equation
[TABLE]
where
[TABLE]
the asymptotics is uniform on , is given by the definition (5.3) and
[TABLE]
Proof. Let . Substituting (6.3) into equation (4.1) we obtain
[TABLE]
Let . Then
[TABLE]
and
[TABLE]
uniformly in . We have
[TABLE]
here and below . The matrix satisfies
[TABLE]
Substituting (6.8) into (6.7) we obtain
[TABLE]
Substituting this identity into equation (6.6) we obtain (6.4).
6.2. Factorization of the fundamental matrix
Now we apply Theorem 4.5 to equation (6.4) in order to obtain the factorization of the fundamental matrix. Preliminary, as well as in the case of equation (4.1) (see Sect 5.1) we have to replace the diagonal part of the matrix in the right side of (6.4) into the left one in order to get the off-diagonal matrix in the asymptotics of in (4.4). Then we obtain the following corollary of Theorem 4.5 on the factorization of the fundamental matrix.
Corollary 6.2**.**
Let and let , where is large enough. Then the fundamental matrix has the representation , where and the matrix-valued function has the form
[TABLE]
[TABLE]
and is the solution of the integral equation (4.10) with
[TABLE]
Each function , is analytic in , where is large enough.
Proof. Rewrite equation (6.4) in the form
[TABLE]
Equation (6.12) has the form (4.5) with satisfying (6.11). Let be the solution of equation (6.12) satisfying the condition . Theorem 4.5 shows that satisfies the identity (4.24). The identities (2.5) and (6.3) imply the identity (3.6), where satisfies (6.9).
6.3. Eigenvalue asymptotics
Introduce the function , and the constant by
[TABLE]
Lemma 6.3**.**
Let and let . Then the eigenvalues satisfy
[TABLE]
Proof. Let . Without loss of generality we assume that . Let the matrix-valued function be given by (6.9). Then in the asymptotics (4.29) and, due to (6.11), in the considered case we have
[TABLE]
is given by (6.5). The identity (4.31) gives
[TABLE]
and are given by the definition (4.15). The definition (6.2) gives
[TABLE]
Let . The asymptotics (1.11) show that The identity (4.16) and the definitions (4.2) and (6.2) imply
[TABLE]
where we used the identities
[TABLE]
Substituting these asymptotics into the identity (6.15) and using the identities (6.16) we obtain
[TABLE]
[TABLE]
Then the asymptotics (4.30) gives
[TABLE]
[TABLE]
where we used (5.3). Substituting these asymptotics into (5.15) and using the identities
[TABLE]
and we obtain
[TABLE]
where
[TABLE]
The identity (5.14) implies , which gives
[TABLE]
The definition (6.13) gives
[TABLE]
Using the identities
[TABLE]
we obtain
[TABLE]
Substituting this identity into (6.18) we obtain
[TABLE]
which gives
[TABLE]
This yields the asymptotics (6.14) as . The identities (3.2) and give the asymptotics (6.14) for .
7. The case
7.1. Transformation of the differential equation
In the previous Section we determined eigenvalue asymptotics for the case . Using the similar arguments in this Section we determine eigenvalue asymptotics for the case . First of all, in order to avoid the difficulties arising from the application of integration by parts, we transform the differential equation.
Let . Let be large enough and let . Introduce the matrix-valued function
[TABLE]
where
[TABLE]
is given by (6.13). The matrix is invertible at large and we introduce the matrix by the identity
[TABLE]
where is the solution of the problem (4.1).
Lemma 7.1**.**
Let and let , where is large enough. Then the matrix-valued function , given by (7.3), satisfies the equation
[TABLE]
where is given by the definition (6.10),
[TABLE]
uniformly on .
Proof. Let . The definitions (6.3) and (7.3) give
[TABLE]
Substituting this identity into equation (6.4) we obtain
[TABLE]
where
[TABLE]
The definitions (6.1) and (7.1) imply
[TABLE]
Substituting this asymptotics into equation (7.6) we obtain
[TABLE]
where we used the definition (5.3). The matrix satisfies
[TABLE]
Substituting this identity into equation (7.7) we obtain
[TABLE]
The identity gives (7.4).
7.2. Factorization of the fundamental matrix
We apply Theorem 4.5 to equation (7.4) in order to obtain the factorization of the fundamental matrix. In this case the matrix in the right side is off-diagonal and we can apply Theorem 4.5 immediately to equation (7.4). Then we obtain the following corollary of Theorem 4.5 on the factorization of the fundamental matrix.
Corollary 7.2**.**
Let and let , where is large enough. Then the fundamental matrix has the representation , where and the matrix-valued function has the form
[TABLE]
and is the solution of the integral equation (4.10) with
[TABLE]
Each function , is analytic in , where is large enough.
Proof. Equation (7.4) has the form (4.5) with satisfying (7.9). Let be the solution of equation (7.4) satisfying the condition . Theorem 4.5 shows that satisfies the identity (4.24). The identities (2.5), (7.3) imply the identity (3.6), where satisfies (7.8).
7.3. Eigenvalue asymptotics
Now we determine the eigenvalue asymptotics for the case .
Lemma 7.3**.**
Let and let . Then the eigenvalues satisfy
[TABLE]
Proof. Let . Without loss of generality we assume that . Let the matrix-valued function be given by (7.8). Then in the asymptotics (4.29) and, due to Lemma 7.1 ii), in the considered case we have
[TABLE]
where . The identity (4.31) gives
[TABLE]
where are given by (6.15). The definition (7.2) implies
[TABLE]
where is given by (6.13) and we used (1.15). Let . Integrating by parts in the asymptotics (6.14) we obtain
[TABLE]
The definition (7.2) provides
[TABLE]
Substituting this identities into (4.16) and using the asymptotics
[TABLE]
we obtain
[TABLE]
Substituting this asymptotics into the definition (7.11) and using the identities (6.16) and (7.12) we obtain
[TABLE]
[TABLE]
where is given by (6.13). Then the asymptotics (4.30) gives
[TABLE]
[TABLE]
where
[TABLE]
and we used (6.10) and the identity . Substituting the asymptotics (7.14) and (7.15) into (5.15) and using (6.17) and the asymptotics we obtain
[TABLE]
where
[TABLE]
The identity (5.14) implies , which gives
[TABLE]
The definition (6.13) gives
[TABLE]
Substituting this identity into (7.17) and using
[TABLE]
we obtain
[TABLE]
which gives
[TABLE]
This yields the asymptotics (7.10) as . The identities (3.2) and give the asymptotics (7.10) for .
Proof of Theorem 1.1. Lemma 5.2 iii) shows that there exists such that each , is real. The asymptotics (1.11) is proved in Lemma 5.4. Substituting the identities
[TABLE]
into the asymptotics (6.14) and (7.10) we obtain (1.12) and (1.13).
8. Trace formula
8.1. Asymptotics of the characteristic function
Below we need the following result about the characteristic function.
Lemma 8.1**.**
Let . Then
[TABLE]
as , where , see (1.15).
Proof. Let . Let . Integrating by parts in the asymptotics (4.14) we obtain
[TABLE]
Substituting these asymptotics into the definition (7.11) and using the definitions (4.2), (6.2) and (7.2) we obtain
[TABLE]
where and are given by (6.13). Then the asymptotics (4.30) gives
[TABLE]
[TABLE]
[TABLE]
where
[TABLE]
Let . Substituting these asymptotics into the asymptotics (5.15) and using the definition (5.13) we obtain
[TABLE]
where
[TABLE]
The definitions (8.3) imply
[TABLE]
Substituting this asymptotics and (8.2) into (8.4) we obtain
[TABLE]
The asymptotics (4.11) and (4.13) imply
[TABLE]
Substituting these asymptotics and (5.7) into (7.8) we obtain
[TABLE]
Substituting the last asymptotics and the asymptotics (8.5) into the identity (3.9) we obtain the asymptotics (8.1).
8.2. Trace formula
We prove the trace formula for the operators .
Proof of Theorem 1.2. Let . Introduce the function , where is given in Lemma 5.2 ii), and the resolvents . Then we have
[TABLE]
where the contours and are given by
[TABLE]
Using the identities
[TABLE]
where , we obtain
[TABLE]
for some constant and , where . These estimates imply . The similar arguments show that for all .
The asymptotics (7.10) shows that the series (1.14) converges absolutely and uniformly in .
Let and . The asymptotics (5.10) shows that is well defined on the contours for large by the condition and for large enough we have
[TABLE]
Let . The asymptotics (8.1) and the identity (3.1) give
[TABLE]
which yields
[TABLE]
Integrating by parts we obtain
[TABLE]
Using the estimate
[TABLE]
we obtain
[TABLE]
The identity (8.6) gives the identity (1.14).
Acknowledgments. A. Badanin was supported by the RFBR grant No 19-01-00094. E. Korotyaev was supported by the RSF grant No. 18-11-00032.
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