1. Introduction and Notations
Let be a complex separable Hilbert space with a scalar product , the norm , and unit operator . By , we denote the set of all bounded linear operators in . In addition, denotes the unit circle: . An operator A is said to be Schur–Kohn stable, or simply stable, if its spectrum lies inside . Otherwise, A will be called an unstable operator.
Consider the discrete Lyapunov equation:
where
are given operators and
X should be found. That equation arises in various applications, cf. [
1]. Sharp norm estimates for solutions of (1) with Schur–Kohn stable finite dimensional and some classes of infinite dimensional operators have been derived in [
2,
3]. At the same time, to the best of our knowledge, norm estimates for solutions of (1) with unstable
A have not been obtained in the available literature.
Our aim in the present paper is to establish sharp norm estimates for solutions of Equation (
1) with an unstable operator
A. In addition, we refine and complement estimates for (1) with stable operator coefficients from [
2,
3].
The point estimates enable us to suggest new dichotomy conditions for nonautonomous linear difference equations and explicit stability conditions for the nonautonomous nonlinear difference equations in a Hilbert space.
The dichotomy of various abstract difference equations has been investigated by many mathematicians, cf. [
4] and [
5,
6,
7,
8,
9,
10,
11] and the references therein. In particular, the main result of the paper [
8] gives a decomposition of the dichotomy spectrum considering the upper dichotomy spectrum, lower dichotomy spectrum, and essential dichotomy spectrum. In addition, in [
8], it is proven that the dichotomy spectrum is a disjoint union of closed intervals. In [
9,
11], an approach concerning the characterization of the exponential dichotomy of difference equations by means of an admissible pair of sequence Banach spaces has been developed. The paper [
12] considers two general concepts of dichotomy for noninvertible and nonautonomous linear discrete-time systems in Banach spaces. These concepts use two types of dichotomy projection sequences and generalize some well-known dichotomy concepts.
Certainly, we could not survey here all the papers in which in the general situation the dichotomy conditions are formulated in terms of the original norm. We formulate the dichotomy conditions in terms of solutions of Lyapunov’s equation. In appropriate situations, that fact enables us to derive upper and lower solution estimates. In addition, traditionally, the existence of dichotomy projections is assumed. We obtain the existence of these projections via perturbations of operators.
The stability theory for abstract nonautonomous difference equations has a long history, but mainly linear equations have been investigated, cf. [
13,
14,
15] and the references therein. Regarding the stability of nonlinear autonomous difference equations in a Banach space, see [
16]. The stability theory for nonlinear nonautonomous difference equations in a Banach space is developed considerably less than the one for linear and autonomous nonlinear equations. Here, we should point out the paper [
17], in which the author studied the local exponential stability of difference equations in a Banach space with slowly-varying coefficients and nonlinear perturbations. Besides, he established the robustness of the exponential stability. Regarding other results of the stability of nonlinear nonautonomous difference equations in an infinite dimensional space, see for instance [
2], Chapter 12.
In this paper, we investigate semilinear nonautonomous difference equations in a Hilbert space and do not require that the coefficients are slowly varying.
Introduce the notations. For an , is the spectrum; is the (upper) spectral radius; is the lower spectral radius; is adjoint to A; is the resolvent; ; ;
The Schatten–von Neumann ideal of compact operators A in with the finite Schatten–von Neumann norm is denoted by . In particular, is the Hilbert–Schmidt ideal and is the Hilbert–Schmidt norm.
2. Auxiliary Results
In the present section, we have collected norm estimates for powers and resolvents of some classes of operators and estimates for the powers of their inverses. They give us bounds for the solution of Equation (
1).
2.1. Operators in Finite Dimensional Spaces
Let
be the complex
n-dimensional Euclidean space and
be the set of complex
matrices. In this subsection,
;
are the eigenvalues of
A, counted with their multiplicities. Introduce the quantity (the departure from normality of
A):
The following relations are checked in [
3], Section 3.1:
If A is a normal matrix: , then .
Due to Example 3.3 from [
3]:
Recall that if . Inequality (2) is sharp. It is attained for a normal operator A, since , , and in this case.
This inequality is also attained for a normal operator.
Now, let
. Then, by Corollary 3.6 from [
3],
Inequality (4) is equality if
A is a normal operator. In addition, by Theorem 3.3 of [
3] for any invertible
and
, one has:
and:
2.2. Hilbert–Schmidt Operators
In the sequel,
is infinite dimensional. In this subsection,
A is in
and:
where
are the eigenvalues of
, counted with their multiplicities and enumerated in the nonincreasing order of their absolute values.
If
A is a normal Hilbert–Schmidt operator, then
, since:
in this case. Moreover,
cf. [
3], Section 7.1. Due to Corollary 7.4 from [
3], for any
, we have:
This inequality and Inequality (9) below are attained for a normal operator.
Furthermore, by Theorem 7.1 from [
3], for any
, we have:
By the Schwarz inequality:
Taking
, from (9), we arrive at the inequality:
2.3. Schatten–von Neumann Operators
In this subsection,
for an integer
. Making use of Theorems 7.2 and 7.3 from [
3], we have:
and:
Since, the condition implies , and one can use estimates for the resolvent presented in the next two subsections.
Furthermore, if
, then
. For any
, we have:
2.4. Noncompact Operators with Hilbert–Schmidt Hermitian Components
In this subsection, we suppose that:
To this end, introduce the quantity:
Obviously,
. If
A is normal, then
by Lemma 9.3 of [
3]. Due to Example 10.2 [
3],
Furthermore, by Theorem 9.1 from [
3], under Condition (14), we have,
and:
Now, let
. Then, by (16):
Let us point out an additional estimate for .
Lemma 1. Let Condition (14) hold and A be invertible. Then: Proof. Thus,
This proves the lemma. □
Note that can be estimated by (18) and (19).
2.5. Noncompact Operators with Schatten–von Neumann Hermitian Components
In this subsection, it is assumed that:
By Theorem 9.5 of [
3], for any quasinilpotent operator
, there is a constant
dependent on
p only, such that
. According to Lemma 9.5 from [
3],
. Put:
Therefore,
From the Weyl inequalities ([
3], Lemma 8.7), we have
. Thus:
If
A has a real spectrum, then:
We need the following result ([
3], Theorem 9.5).
Theorem 1. Let Condition (21) hold. Then:and: If A is self-adjoint, then Inequality (24) takes the form .
2.6. Applications of the Integral Representation for Powers
For an arbitrary
and an
, we have:
Let there be a monotonically-increasing nonnegative continuous function
, such that
,
, and:
Obviously,
(
by (26):
All the above estimates for the resolvent satisfy Condition (27). For example, under Condition (14), due to (17), we have (27) with:
Under Condition (21), due to (25), we have (27) with:
Similarly, (24) can be taken.
Furthermore, let
A be invertible. With a constant
, we can write:
Under Condition (27), we get , and therefore,
With
, we have
(|
λ| =
sl). Therefore, the inequalities:
hold and (30) implies:
Note that the analogous results can be found in the book [
18] (see the Exercises at the end of Chapter 1).
3. The Discrete Lyapunov Equation with a Stable Operator Coefficient
Theorem 2. Let and . Then, for any , there exists a linear operator , such that: Thus, if C is strongly positive definite, then is strongly positive definite.
For the proof of this theorem and the next lemma, for instance see [
1] ([
2], Section 7.1).
Lemma 2. If Equation (32) with has a solution , then the spectrum of A is located inside the unit disk. Due to Representations (33) and (34), we have:
and:
respectively. From the latter inequality, it follows
Similar results can be found in the Exercises of Chapter 1 from [
18].
Again, assume that Condition (27) holds. Then, for
,
; therefore,
. Now, (36) implies:
If
A is normal, then
, and (35) yields:
Example 1. Let . Then, (2) and (35) yield: Note that if
A is normal, then
, and Example 3.3 gives us Inequality (38). Let us point to the more compact, but less sharper estimate for
. Making use of (3) and (37), we can assert that:
Example 2. Let . Then, (8) and (35) yield: If
A is normal, then this example gives us Inequality (38). Furthermore, (37) and (10) imply:
Example 3. Assume that . Then, (4) and (35) yield: If
A is normal, hence we get (38). Inequality (37) along with (16) and (17) give us the inequalities:
and:
respectively. For a self-adjoint operator
S, we write
(
) if it is positive definite (strongly positive definite). The inequalities
and
have a similar sense.
Note that (33) gives a lower bound for with . Indeed,
If
C is noninvertible, then
, and:
if the corresponding operator is invertible. Therefore, we arrive at
Lemma 3. Let be a solution of (32) with and . Then: Therefore, in the general case.
5. Operators with Dichotomic Spectra
In this section, it is assumed that
is dichotomic. Namely,
where
and
are nonempty nonintersecting sets lying inside and outside
, respectively:
and
. Put:
Therefore, P is the Riesz projection of A, such that and . We have , where , .
In the sequel,
means that:
The same sense has
. Obviously,
Therefore,
Similarly, .
Lemma 6. Let Conditions (50) and (27) hold. Then:and:where: Proof. We have
. Since (27) holds,
Hence,
, and
Therefore, (52) is valid. Similarly,
This finishes the proof. □
The analogous results can be found in ([
18], Exercises of Chapter 1).
7. Linear Autonomous Difference Equation
In this section, we illustrate the importance of solution estimates for (32) in the simple case. To this end, consider the equation:
Let
be a solution of the equation:
First consider the case
. For any
, we have:
Now, let and . Then, ,
Therefore,
Consequently,
Now, assume that
A has a dichotomic spectrum, i.e., (50) holds. Then,
where
and
are solutions of the equations:
and:
Making use of (63) and (64), we have:
and:
where
. However, as is shown in
Section 6,
and
are upper and lower bounded. Now, (65) and (66) imply:
and:
Definition 1. We will say the equation:is dichotomic, if there exist a projection , and constants and such that if and if . Therefore, Equation (
61) is dichotomic, if
is dichotomic.