Let
be real constants. We assume that a value of
C is positive and can be different in various formulas, but values of
are certain. Denote by
the interior and the set of boundary points of the set
M, respectively. Everywhere further, if the contrary is not stated, we consider linear densely defined operators acting on a separable complex Hilbert space
. Denote by
the set of linear bounded operators on
Denote by
the closure of an operator
We establish the following agreement on using symbols
where
i is an arbitrary symbol. Denote by
the
domain of definition, the
range, and the
kernel or
null space of an operator
L, respectively. The deficiency (codimension) of
dimension of
are denoted by
, respectively. Assume that
L is a closed operator acting on
let us define a Hilbert space
Consider a pair of complex Hilbert spaces
the notation
means that
is dense in
as a set of elements and we have a bounded embedding provided by the inequality
Moreover, any bounded set with respect to the norm
is compact with respect to the norm
Let
L be a closed operator; for any closable operator
S such that
its domain
will be called a core of
Denote by
a core of a closeable operator
Let
be the resolvent set of an operator
L and
denotes the resolvent of an operator
Denote by
the eigenvalues of an operator
Suppose
L is a compact operator and
then, the eigenvalues of the operator
N are called the
singular numbers (
s-numbers) of the operator
L and are denoted by
If
then we put by definition
. According to the terminology of the monograph [
2], the dimension of the root vectors subspace corresponding to a certain eigenvalue
is called the
algebraic multiplicity of the eigenvalue
Let
denotes the sum of all algebraic multiplicities of an operator
Denote by
a function equal to a number of the elements of the sequence
within the circle
Let
A be a compact operator, denote by
counting function a function
corresponding to the sequence
Let
be a Schatten–von Neumann class and
be the set of compact operators. Suppose
L is an operator with a compact resolvent and
then, we denote by
order of the operator
L in accordance with the definition given in the paper [
5]. Denote by
the real and imaginary components of an operator
L, respectively. In accordance with the terminology of the monograph [
22], the set
is called the
numerical range of an operator
An operator
L is called
sectorial if its numerical range belongs to a closed sector
where
is the vertex and
is the semi-angle of the sector
If we want to stress the correspondence between
and
then we will write
An operator
L is called
bounded from below if the following relation holds
where
is called a lower bound of
An operator
L is called
accretive if
An operator
L is called
strictly accretive if
An operator
L is called
m-accretive if the next relation holds
An operator
L is called
m-sectorial if
L is sectorial and
is m-accretive for some constant
An operator
L is called
symmetric if one is densely defined and the following equality holds:
Consider a sesquilinear form
(see [
22]) defined on a linear manifold of the Hilbert space
Denote by
the quadratic form corresponding to the sesquilinear form
Let
be a real and imaginary component of the form
t, respectively, where
According to these definitions, we have
Denote by
the closure of a form
The range of a quadratic form
is called the
range of the sesquilinear form
t and is denoted by
A form
t is called
sectorial if its range belongs to a sector having a vertex
situated at the real axis and a semi-angle
Suppose
t is a closed sectorial form; then, a linear manifold
is called the
core of
t if the restriction of
t to
has the closure
t (see [
22] p. 166). Due to Theorem 2.7 [
22] p. 323, there exist unique m-sectorial operators
associated with the closed sectorial forms
, respectively. The operator
is called a
real part of the operator
and is denoted by
Suppose
L is a sectorial densely defined operator and
then, due to Theorem 1.27 [
22] p. 318, the corresponding form
t is closable, due to Theorem 2.7 [
22] p. 323, there exists a unique m-sectorial operator
associated with the form
In accordance with the definition [
22] p. 325, the operator
is called a
Friedrichs extension of the operator
Everywhere further, unless otherwise stated, we use notations of the papers [
2,
22,
23,
24,
25].
2.2. Some Facts of the Entire Functions Theory
Here, following the monograph [
26], we introduce some notions and facts of the entire function theory. In this subsection, we use the following notations
Consider an entire function that has zeros satisfying the following relation for some
In this case, we denote by
p the smallest integer number for which the following condition holds
It is clear that
It is proved that under the assumption (
1), the infinite product
is uniformly convergent; we will call it a canonical product and call
p the genus of the canonical product. By the
convergence exponent of the sequence
, we mean the greatest lower bound for such numbers
that the series (
1) converges. Note that if
is equal to a convergence exponent, then series (
1) may or may not be convergent. For instance, the sequences
and
have the same convergence exponent
but in the first case, the series (
1) is divergent when
, while in the second one, it is convergent. In this paper, we have a special interest regarding the first case. Consider the following obvious relation between the convergence exponent
and the genus
p of the corresponding canonical product
It is clear that if
then the series (
1) diverges for
while
means that the series converges (in accordance with the definition of
p). In the monograph [
26], a more precise characteristic of the density of the sequence
is considered than the convergence exponent. Thus, we defined a so-called counting function
equal to a number of points of the sequence in the circle
By the upper density of the sequence, we call a number
If a limit exists in the ordinary sense (not in the sense of the upper limit), then
is called the density. Note that it is proven in Lemma 1 [
26] that
We need the following fact (see [
26] Lemma 3).
Lemma 1. If the series (2) converges, then the corresponding infinite product (3) satisfies the following inequality in the entire complex plane Using this result, it is not hard to prove a relevant fact mentioned in the monograph [
26]. Since it has a principal role in the further narrative, then we formulate it as a lemma in terms of the density.
Lemma 2. Assume that the following series converges for some values i.e., Then, the following relation holds In the case we have if at least one of the following conditions holds: the convergence exponent is non-integer and the density equals to zero, or the convergence exponent is arbitrary. In addition, the equality guarantees that the density equals to zero. In the case we claim that without any additional conditions.
Proof. Applying Lemma 1, we establish relation (
4). Consider a case when
is a non-integer. Taking into account the fact that the density is equal to zero, using L’Hôpital’s rule, we easily obtain
(here, we should remark that if
is an integer, then
). Therefore,
Consider the case that when
then let us rewrite the series (
1) in the form of the Stieltjes integral. Then, we have
Using integration by parts formulae, we get
Here, we should note that there exists a neighborhood of the point zero in which
The latter representation shows us that the following integral converges, i.e.,
In its own turn, it follows that
Using this fact analogously to the above, applying L’Hôpital’s rule, we conclude that (
5) holds if
is a non-integer. If
is an integer, then it is clear that we have
here, we should remind that it is not possible to assume that
due to the definition of
In the case
using the above reasonings, we obtain
from what follows the fact that
. The reasonings related to the case
are absolutely analogous, we left the proof to the reader. The proof is complete. □
Lemma 3. We claim that the following implication holds Proof. Let us define auxiliary functions
Notice that
applying L’Hôpital’s rule, we have
In an analogous way, we obtain the following implication
Thus, taking into account the condition
combining (
6)–(
8), we obtain the desired result. □
Regarding Lemma 3, we can produce the following example that indicates the relevance of the issue itself.
Example 1. There exists a sequence such that the density is equal to zero; moreover, We can construct the required sequence supposing
It is clear that we can represent partial sums of series (1) due to the Stieltjes integral Thus, the sequence is defined by the function Applying the integration by parts formulae, we obtain We can easily establish the fact that the last integral diverges when then, we have On the other hand, we have Taking into account the fact we conclude that series (1) diverges if and converges if Therefore, the convergence exponent is equal to i.e., the density is equal to zero. Let us prove the fact for this purpose, in accordance with Lemma 3, it suffices to show thatby direct substitution, we obtain Thus, we obtain the desired result.
2.5. Abel–Lidsky Summarizing the Series
In this subsection, we reformulate results obtained by Lidskii [
3] in a more convenient form applicable to the reasonings of this paper. However, let us begin our narrative. In accordance with the Hilbert theorem (see [
30] and (p. 32, [
2])), the spectrum of an arbitrary compact operator
B consists of the so-called normal eigenvalues; this gives us an opportunity to consider a decomposition to a direct sum of subspaces
where both summands are invariant subspaces regarding the operator
. The first one is a finite dimensional root subspace corresponding to the eigenvalue
, and the second one is a subspace wherein the operator
is invertible. Let
be a dimension of
and let
be the operator induced in
. We can choose a basis (Jordan basis) in
that consists of Jordan chains of eigenvectors and root vectors of the operator
. Each chain
where
are the eigenvectors corresponding to the eigenvalue
and other terms are root vectors; these can be transformed by the operator
B in accordance with the following formulas
Considering the sequence
of the eigenvalues of the operator
B and choosing a Jordan basis in each corresponding space
we can arrange a system of vectors
which we will call a system of the root vectors, or following Lidskii, a system of the major vectors of the operator
. Assume that
is the Jordan basis in the subspace
let us prove that (see [
3] p. 14) there exists a corresponding biorthogonal basis
in the subspace
. It is easy to prove that the subspace
has the same dimension equal to
For this purpose, assume that the vectors
are linearly independent; then, using the decomposition of the space
to the direct sum
we obtain
where
is an arbitrary non-zero set. It implies that
for if we assume the contrary, then we will come to the contradiction. Hence,
Using the same reasonings, we obtain the fact that
Thus, we obtain the desired result. Now, let us choose an element
and consider
—dimensional space
generated by the set
then, let us choose an arbitrary element
belonging to the orthogonal complement of the set
It is clear that
, since in accordance with the given definition, the element
is orthogonal to the set
It is also clear that in accordance with the definition
Note that
for if we assume the contrary, then using the decomposition (
12), we obtain
, and as a result, we obtain the contradiction, i.e.,
It is clear that we can choose
so that
Let us show that the system of the elements constructed in this way
is linearly independent. It follows easily from the implication
Therefore, taking into account the proved above fact
we conclude that the system
is a basis in
Let us show that the system
consists of the Jordan chains of the operator
, which correspond to the Jordan chains (
13). Note that the space
is an invariant subspace of the operator
, since it is orthogonal to the invariant subspace of the operator
Using the denotation
for the operator
B restriction on the invariant subspace
let us denote by
a restriction of the operator
on the subspace
Assume that
is a matrix of the operator
in the basis
then, using conditions (
13), we conclude that it has a Jordan form, i.e., it is a block diagonal matrix, where each Jordan block is represented by a matrix in the normal Jordan form, i.e.,
where
is a geometrical multiplicity of the
q-th eigenvalue, and
is a number of elements in the
-th Jordan chain. Since we have
then
where
are the matrices of the operators
in the bases
, respectively. On the other hand, we have the obvious reasonings
Therefore, we conclude that the operator
is represented by a matrix
Using this representation, we conclude that
consists of the Jordan chains of the operator
, which correspond to the Jordan chains (
13) due to the following formula
Let us show that
for this purpose, note that in accordance with the property
where
is a Riesz projector (integral) corresponding to the eigenvalue
(see [
2] Chapter I §1.3), and the property
we have
Combining this relation with the decomposition (
12), we obtain the desired result. Now, taking into account relation (
12), we conclude that the set
is orthogonal to the set
Gathering the sets
we can obviously create a biorthogonal system
with respect to the system of the major vectors of the operator
It is rather reasonable to call it a system of the major vectors of the operator
Note that if an element
allows a decomposition in the strong sense
then by virtue of the biorthogonal system existing, we can claim that such a representation is unique. Furthermore, let us come to the previously made agreement that the vectors in each Jordan chain are arranged in the same order as in (
13), i.e., at the first place, there stands an eigenvector. It is clear that under such an assumption, we have
where
is a number of elements in the
-th Jourdan chain. In particular, if the vector
is included to the major system solo, there does not exist a root vector corresponding to the corresponding eigenvalue, then
Note that in accordance with the property of the biorthogonal sequences, we can expect that the denominators are equal to one in the previous two relations. Consider a formal series corresponding to a decomposition on the major vectors of the operator
B
where each number
n corresponds to a number
(thus, the coefficients
are defined in accordance with the above and numerated in a simplest way). Consider a set of the polynomials with respect to a real parameter
tConsider a series
where the coefficients
are defined in accordance with the correspondence between the indexes
n and
in the following way
where
is a characteristic number corresponding to
. It is clear that in any case, we have
(it can be established by direct calculations). In accordance with the definition given in [
3] p. 17, we will say that series (
14) converges to the element
f in the sense
if there exists a sequence of the natural numbers
such that
Note that sums of the latter relation form a subsequence of the partial sums of the series (
14).
To establish the main results, we need the following lemmas by Lidskii. Note that in spite of the fact that we have rewritten the lemmas in the refined form, the proof has not been changed and can be found in the paper [
3]. Furthermore, considering an arbitrary compact operator
such that
we put the following contour in correspondence to the operator
where
is an arbitrary small number, and the number
r is chosen so that the operator
is regular within the corresponding closed circle. Here, we should note that the compactness property of
B gives us the fact
It can be proved easily if we note that in accordance with the Corollary 3.3 [
22] p. 268, we have
Lemma 6. Assume that B is a compact operator, then on each ray ζ containing the point zero and not belonging to the sector as well as the real axis, we havewhere Lemma 7. Assume that the operator B satisfies conditions of Lemma 6, then Lemma 8. Assume that B is a compact operator, then, in the pole of the operator the residue of the vector function equals to where is a geometrical multiplicity of the q-th eigenvalue, is a number of elements in the -th Jourdan chain, the coefficients are defined in accordance with formula (15).