On the trace formula for higher-order ODO
E.D. Galkovskii, A.I. Nazarov

TL;DR
This paper derives a trace formula for higher-order differential operators with measure perturbations, revealing a new term for even orders greater than or equal to four, advancing spectral analysis techniques.
Contribution
It introduces a novel trace formula for higher-order ODOs with measure perturbations, including a new term for even orders n ≥ 4.
Findings
Derived a first-order trace formula for higher-order ODOs.
Discovered a new term in the trace formula for even orders n ≥ 4.
Extended spectral analysis methods for differential operators.
Abstract
A first order trace formula is obtained for a higher-order differential operator on a segment in the case where the perturbation is an operator of multiplication by a finite complex-valued measure. For the operators of even order a new term in the final formula is discovered.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Differential Equations and Boundary Problems · Advanced Mathematical Modeling in Engineering
On the trace formula
for higher-order ODO
E.D. Galkovskii111St. Petersburg State University; e-mail: [email protected]
and A.I. Nazarov777St. Petersburg Department of Steklov Mathematical Institute of Russian Academy of Science and St. Petersburg State University; e-mail: [email protected]
Abstract
A first order trace formula is obtained for a higher-order differential operator on a segment in the case where the perturbation is an operator of multiplication by a finite complex-valued measure. For the operators of even order a new term in the final formula is discovered.
Introduction
We consider an operator on a segment that is generated by a differential expression of order
[TABLE]
(here are complex-valued functions) and by boundary conditions
[TABLE]
Here and are polynomials of degrees less than with complex coefficients. Denote by the maximum of degrees of and , and by and the -th coefficients of and respectively (therefore, , cannot be zeros simultaneously).
We assume that the system of boundary conditions (2) is normalized, i.e. is minimal among all the systems of boundary condition that can be obtained from (2) by linear bijective transformations. See [6, ch. II, ] for a detailed explanation and [14] for a more advance treatment.
We also assume the boundary conditions (2) to be Birkhoff regular, see [6, ch. II, ]. Then the operator has purely discrete spectrum,888We underline that we do not require to be self-adjoint. which we denote by . In what follows we always enumerate the eigenvalues in ascending order of their absolute values according to their multiplicities (that means ).
Let be the space of finite complex-valued measures. Denote by the operator of multiplication by . Then the operator has also a purely discrete spectrum denoted by .
We are interested in the regularized trace
[TABLE]
Without loss of generality we suppose that .
The first formula for a regularized trace was obtained by I.M. Gelfand and B.M. Levitan in 1953. In [4] they considered the problem
[TABLE]
and showed that for a real-valued function the following relation holds:
[TABLE]
The paper [4] generated many improvements and generalizations, see a survey of V.A. Sadovnichii and V.E. Podolskii [10].
In the recent work [9] A.I. Nazarov, D.M. Stolyarov and P.B. Zatitskiy obtained formula
[TABLE]
for arbitrary and regular boundary conditions, under assumptions that are standard now;999Formula (4) was earlier proved by R.F. Shevchenko [13] for a smooth function and an operator without lower-order terms. namely, and the functions
[TABLE]
have bounded variations at points and respectively. In (4) and stand for the matrices with elements that can be expressed in terms of and , . Moreover, it was shown in [9] that in important special case, where the boundary conditions are almost separated, the values and in (4) can be reduced and expressed using only the sums of degrees of polynomials and respectively.
A new phenomenon was discovered in our century by A.M. Savchuk and A.A. Shkalikov [11, 12], see also [15]. Namely, let be a signed measure locally continuous at points [math] and . Then for the problem (3) we have
[TABLE]
where stand for the jumps of the distribution function for the measure . In this case the series is mean-value summable.
Thus, for the regularized trace becomes non-linear functional of . In [5] this effect was obtained for -potential and some other boundary conditions. See also [1, Theorem 1] for a similar effect in a different problem.
For and arbitrary regular boundary conditions, the formula similar to (6) was obtained in [3]. Also it was shown in [3] that for a nonlinear terms does not appear, and it was conjectured that for high order operators formula (4) holds for .
In this paper we prove this conjecture for odd and disprove it for even . Namely, in the last case formula for includes a term that has not been seen before. This new term corresponds to the case where has an atom in the midpoint .
These results were partially announced in [2].
The paper is organized as follows. In Section 1 we formulate our main results (Theorems 1.1 and 1.2) and deduce them from some interim assertions (Theorems 1.5 and 1.6). These assertions are proved in Sections 2 and 3 respectively. An explicit calculation of the new term is described in Section 4.
Let us recall some notation. We denote by the operator generated by the differential expression and boundary conditions (2). The eigenvalues of are denoted by .
Further, stands for the Green function of the operator , see [6, ch. I, ]. Notice that the resolvent is an integral operator with the kernel . So one can define the trace
[TABLE]
For arbitrary function defined on the complex plane , we introduce the function by the formula
[TABLE]
Recall the definition of summation by the mean-value method (Cesàro summation of order ). Let be the sequence of partial sums corresponding to the series . The series is called mean-value summable if the following limit exists:
[TABLE]
Denote by the total variation of . We define the distribution function
[TABLE]
We assume that has no atoms at the endpoints and . This implies .
We say the complex-valued measure to be BV-regular if the functions
[TABLE]
have bounded variation on . In particular, in this case the function is differentiable at points and , and
[TABLE]
Let us define
[TABLE]
Consider a function on such that corresponding contour is closed and smooth. For such we introduce a contour .
A sequence of closed contours described above is called acceptable if as , and for some the following conditions hold for every :
-
, , ;
-
Corresponding contours are separated from and uniformly with respect to .
Remark 1**.**
Assume is odd. It is well known (see, e.g., [6, ch. II, ] and [14]) that the eigenvalues are split into two sequences:
[TABLE]
If is even and boundary conditions (2) are strongly regular, then (see [6, ch. II, ] and [14]) the eigenvalues are also split into two sequences:
[TABLE]
where and are distinct, and (see, e.g., [7, Theorem 1.1]). Therefore, in these cases there exists a sequence of acceptable contours such that, there is exactly one eigenvalue between each two neighboring contours. Moreover, if is even and then one can take circles of radii as such contours.
If is even and the boundary conditions are regular but not strongly regular then the relation (8) holds with . In this case we take the contours so that there is exactly one pair of eigenvalues between each two neighboring contours.
Notice that for even the quantities , , are roots of quadratic Birkhoff polynomial, see [6, ch. II, ]. Thus, we have in strongly regular case, and otherwise.
In what follows we use the notation .
We denote by arbitrary polynomial of with the constant term .
If the distribution function of the measure has a jump at the point , we denote it by .
We introduce the function
[TABLE]
All positive constants whose exact values are not important are denoted by .
1 Formulation of the results
Our main result consists of two following theorems:
Theorem 1.1**.**
Suppose that is odd and that the distribution function is differentiable at points and . Then for all regular boundary conditions (2) the following formula holds:
[TABLE]
Here the matrices and are the same as in (4) (see [9, Theorem 2]). The series for converges in a usual way.
For even, a new term appears. It depends on the value of a jump of the distribution function at the point .
Theorem 1.2**.**
Suppose that is even and that the complex-valued measure is BV-regular. Then for all regular boundary conditions (2) the following formula holds:
[TABLE]
Here the matrices and are the same as in (4) (see [9, Theorem 2]), and the coefficient is defined in (23).
If the boundary conditions (2) are strongly regular (this corresponds to distinct roots of the Birkhoff polynomial, ) then the series for can be summed by the Cesáro method.
If the boundary conditions (2) are regular but not strongly regular (this corresponds to the case ) then the series can be summed by the Cesáro method with brackets. Namely, the terms related to coinciding or asymptotically close eigenvalues are summed pairwise, and then the appeared series is summed by the Cesáro method.
The value of the constant is given by the following theorem.
Theorem 1.3**.**
Suppose that be even and that a sequence of acceptable contours is chosen in accordance to Remark 1.
If the boundary conditions (2) are strongly regular (recall that this corresponds to the case ), then
[TABLE]
If the boundary conditions (2) are regular, but not strongly regular (this corresponds to the case ), then
[TABLE]
The constant is defined in (31) and depends only on the leading coefficients of polynomials and in boundary conditions (2). The sign in (12) stands for the branch of logarithm with .
Remark 2**.**
In the case we cannot define the natural order of the eigenvalues since in (8). In this case the choice in (12) depends on the order of summation.
Notice also that formula (13) differs from the limit of (12) as , since the series for is summed in different ways.
To prove Theorem 1.1 and Theorem 1.2 we need the following statement.
Proposition 1.4** ([3], Theorem 2.2).**
Let . For every acceptable sequence of contours the following relation holds as (summation in the left hand side is taken over , that are inside ):
[TABLE]
Passage to the limit in the right hand side of (14) is provided by the following interim statements.
Theorem 1.5**.**
Let be odd, and let . Then for every sequence of acceptable contours the following equality holds:
[TABLE]
Theorem 1.6**.**
Let be even, and let a complex-valued measure be BV-regular. Assume also that . Finally, let a sequence of acceptable contours be chosen in accordance to Remark 1. Then the following equality holds:
[TABLE]
Proof of Theorems 1.1 and 1.2.
We decompose the measure into two parts:
[TABLE]
where is a smooth function with , , and .
Let be odd. Then satisfies the assumptions of Theorem 1.5. Since , formula (10) follows from (4) for , (14) and Theorem 1.5 for .
Now let be even. Then satisfies the assumptions of Theorem 1.6. Formula (11) follows from (4) for , (14) and Theorem 1.6 for . ∎
2 Auxiliary estimates. Proof of Theorem 1.5
Here and further we assume without loss of generality that , .
We begin with the explicit formula for the Green function, see [9, formula (12)]. For this gives:
[TABLE]
(the determinants , are introduced in Appendix).
For the sake of brevity introduce a notation for even .
Lemma 2.1**.**
Let a pair , , be arbitrary for odd , and let
[TABLE]
for even . Then for every acceptable sequence of contours the following estimate holds:
[TABLE]
where , .
Proof.
By Proposition 5.1 we obtain
[TABLE]
where
[TABLE]
[TABLE]
We recall that the function is introduced in (9) and differs for odd and even . Namely, If is even, then for all . If is odd, then for and for .
Notice that the real part of both summands in is negative for all . Moreover, if is odd then the real part of , , can be equal to zero only in three cases:
- •
, ,
- •
, ,
- •
, .
Therefore, for odd, the quantity is separated from zero for all uniformly w.r.t. . This implies
[TABLE]
for some positive constant . This proves Lemma for odd .
If is even then can be equal to zero only in four cases:
- •
, ,
- •
, ,
- •
, ,
- •
, .
In all other cases is separated from zero uniformly w.r.t. . Thus, the inequality holds for even provided satisfy (17). This proves Lemma for even . ∎
Lemma 2.2**.**
Let the distribution function of a complex-valued measure satisfy .101010In this Lemma we do not assume that . Suppose that is a bounded function, and
[TABLE]
Then the following relation holds for :
[TABLE]
Proof.
We choose a point such that is continuous at and split the integration segment into two parts: and . We prove the estimate of the first integral, the second one is estimated similarly.
Integration by parts w.r.t. gives
[TABLE]
The first term here is uniformly in . To manage the second term we define . By assumption we have for where as . Therefore we have
[TABLE]
and the statement follows. ∎
Proof of Theorem 1.5.
We rewrite the integral using the representation (16):
[TABLE]
where
[TABLE]
If , the integral (20) equals zero by the assumption . For , we write
[TABLE]
Lemma 2.1 and the property 1 of admissible contours give the estimate of integrand which allows to apply Lemma 2.2. Therefore, the integral tends to zero as , and the statement follows. ∎
3 Proof of theorem 1.6
The starting point of the proof is the same as in Theorem 1.5. We use decomposition (19), (20). The terms with vanish by the assumption . Then, using Lemmata 2.1 and 2.2 we obtain for
[TABLE]
as , where
[TABLE]
[TABLE]
Generally speaking, these four terms do not converge in the usual sense as , and we use the -passage to the limit.
We split the measure as follows:
[TABLE]
so that has no atom at the point but in general .
Therefore,
[TABLE]
Here we denote by the integrals similar to with instead of , while
[TABLE]
[TABLE]
The first term in (22) gives us the right-hand side in formula (15). Thus, we should demonstrate that the second Cesáro limit in (22) equals zero. We proceed in two steps.
On the first step, we take a sequence of acceptable contours such that, there is exactly one pair of eigenvalues between each two neighboring contours. Notice that it is always possible to choose circles of radii as such contours (cf. Remark 1).
Lemma 3.1**.**
Let the complex-valued measure satisfy the assumptions of Theorem 1.6. Consider the decomposition (22). Then for arbitrary sequence such that circles of radii separate pairs of eigenvalues, the following relation holds:
[TABLE]
Proof.
We prove that for the integral of , -limit equals zero. For other terms, the proof is quite similar. By (8), we can assume without loss of generality that for large .
Similarly to Lemma 2.2, the integral over tends to zero. Next, using the Cauchy residue theorem we replace the integral over the arc by the integral over two segments (see Fig. 1)
[TABLE]
Since are separated from , the new contours are separated from for large . Similarly to the proof of Theorem 1.5, we show using Lemmata 2.1 and 2.2 that the integral over the second segment also tends to zero. This gives
[TABLE]
One can see from (35) that if then is a polynomial of variables and , and its degree with respect to equals two. So, if , then
[TABLE]
where and are polynomials of degree two. The constant term in the polynomial does not equal zero, because conditions (2) are Birkhoff regular.
We decompose in a similar way and obtain the following relation as :
[TABLE]
where and are proper rational functions, and their denominators are polynomials with non-zero constant terms.
We split the integral (25) into a sum corresponding to decomposition (26) and estimate these integrals one by one:
[TABLE]
It is evident that as .
We start with the fourth term:
[TABLE]
To estimate the third integral
[TABLE]
we observe that the function
[TABLE]
is uniformly bounded and converges to zero as for all . Since has no atom at zero, the integral tends to zero by the Lebesgue dominated convergence theorem.
Next, we transform the second integral as follows:
[TABLE]
where
[TABLE]
because (recall that ) and
[TABLE]
Now we are in position to apply the Cesáro method:
[TABLE]
It is easy to see that is a continuous bounded function. Therefore, the last integrand is uniformly bounded and converges to zero as for all . Since has no atoms at these points, the integral tends to zero by the Lebesgue theorem.
To deal with the remaining integral , we recall that is BV-regular. Thus, and has bounded variation at zero. This gives
[TABLE]
We integrate by parts with respect to . The boundary term at [math] vanishes due to , and we obtain
[TABLE]
The function
[TABLE]
is uniformly bounded and converges to zero as for all . The measure has no atom at zero (this follows from ), and the first term in (27) tends to zero by the Lebesgue theorem. The second term is evidently .
For we again use the Cesáro method:
[TABLE]
The integrand here is uniformly bounded and converges to zero as for all . The measure has no atoms at these points, and the limit equals zero by the Lebesgue theorem. In a similar way we have . ∎
For the case of non-strongly regular boundary conditions, a sequence of circles described in Lemma 3.1 is chosen in accordance to Remark 1. Therefore, in this case relation (22) and Lemma 3.1 prove the assertion of Theorem 1.6.
In the case of strongly regular boundary conditions we need the second step. We differ two subcases.
Let in the relation (8). Then, by Remark 1, we can choose a sequence of circles of radii as acceptable contours separating eigenvalues for large . We split the sequence into two parts, and , and notice that every of these subsequences satisfy the assumptions of Lemma 3.1. Therefore, we have
[TABLE]
that implies the assertion in this subcase in view of trivial relation
[TABLE]
Now let , . Then a sequence of circles described in Lemma 3.1 can be chosen as a subsequence of acceptable contours separating eigenvalues for large , either or . To be definite, let these circles be . We use the following statement.
Proposition 3.1** ([3], Lemma 4.1).**
Let . Then
[TABLE]
i.e. if one of the expressions in the right-hand side of (29) converges then the sequence in the left-hand side converges.
Thus, if we consider contours enclosing and and prove that
[TABLE]
then the statement of theorem follows from relation (22), Lemma 3.1 and Proposition 3.1.
The relation (8) and the Cauchy residue theorem allow us to choose for sufficiently large as the unions of two arcs and two small segments:
[TABLE]
where and is arbitrary small positive given number.
Given , the Cesàro limits of integrals over both arcs equal zero by Lemma 3.1. Since the segments are separated from uniformly with respect to , the absolute values of corresponding integrals does not exceed . Since is arbitrary small, the relation (30) follows. This completes the proof of Theorem 1.6.
4 On the value of the coefficient
Proof of Theorem 1.3.
To calculate the limit in (23) we proceed in two steps similarly to the proof of Theorem 1.6. On the first step, we take a sequence of circles such that there is exactly one pair of eigenvalues between each two neighboring circles.
Lemma 4.1**.**
For arbitrary sequence such that circles of radii separate pairs of eigenvalues for sufficiently large , the following relation holds:
[TABLE]
Here and are roots of the Birkhoff polynomial, while
[TABLE]
(the determinants , , are introduced in (35) and (36)).
Proof.
Using formulae (24) we obtain, as ,
[TABLE]
Using relations (35)–(37) proved in Appendix, we rewrite the integrands explicitly:
[TABLE]
[TABLE]
here . Thus,
[TABLE]
Using the Cauchy residue theorem we replace the integral over the arc by the integral over three segments
[TABLE]
Similarly to the proof of Lemma 3.1, integrals over the first and the third segments tend to zero, and we obtain
[TABLE]
We make the change of variable and recall that the denominator is the Birkhoff polynomial of . This gives
[TABLE]
and the statement follows. ∎
We continue the proof of Theorem 1.3. For the case of non-strongly regular boundary conditions, a sequence of circles described in Lemma 4.1 is chosen in accordance to Remark 1. Therefore, in this case relation (23) and Lemma 4.1 give (13) after explicit integration.
In the case of strongly regular boundary conditions we need the second step. Let in the relation (8). Then, by Remark 1, we can choose a sequence of circles of radii as acceptable contours separating eigenvalues for large . We split the sequence into two parts, and , and apply Lemma 4.1 for these subsequences. After integration we obtain (12) using relation (28).
Using the residue theorem we can see that the resulting formula is continuous with respect to and if . This covers the subcase and completes the proof. ∎
Remark 3**.**
If the boundary conditions are almost separated (that is, if and if ), then it is known that (see e.g. [8]). Therefore, Theorem 1.3 gives .
If the boundary conditions are quasi-periodic (that is, () and for ), then . Therefore, we also have .
Now let . Then in the almost separated case as above. Otherwise , , and from relation we obtain again. This fact is in concordance with results of [3].
Thus, the constant vanishes for many important classes of operators. However, the following example shows that can be non-zero even for a self-adjoint operator .
Example. We consider a fourth-order operator generated by a differential expression and the system of boundary conditions:
[TABLE]
Direct calculation gives
[TABLE]
5 Appendix
Following [9], we define , where
[TABLE]
Then we denote by the determinant of a matrix that coincides with except the column that is replaced by -th column from matrix
[TABLE]
We recall that the function is introduced in (9).
Proposition 5.1** (see the proof of Lemma 1 in [9]).**
Let , , , (recall that )). Then we have as
[TABLE]
Here and are determinants depending on boundary conditions and satisfying the following properties:
For large , are bounded uniformly; 2. 2.
* is separated from zero on arbitrary acceptable sequence of contours uniformly w.r.t. .*
The properties listed above are sufficient to prove Lemma 2.1 and Theorem 1.5. In the proofs of Theorem 1.6 and Theorem 1.3, we need explicit formulae for and for those which are not covered by Lemma 2.1.
Let and recall that . We have
[TABLE]
where
[TABLE]
[TABLE]
(we recall that stands for a polynomial of with the constant term ).
Next, for we have
[TABLE]
where
[TABLE]
[TABLE]
Similarly, for we have
[TABLE]
where
[TABLE]
[TABLE]
We expand in exponentials and obtain
[TABLE]
(the constant terms evidently coincide and do not vanish by regularity of boundary conditions (2)).
Taking the common multiplier over from the -th row in the determinant (see the proof of [7, Theorem 1.1]) we obtain . In the same way, and .
Finally, we have
[TABLE]
and a similar calculation gives
[TABLE]
Acknowledgements
We are grateful to A.V. Badanin for valuable comments. This work was supported by the Russian Science Foundation, grant no. 17-11-01003.
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