The aim of this paper is to provide new results on the Wolf and Schechter essential pseudospectra of bounded linear operators on a Banach space. More precisely, we characterize the Wolf and Schechter essential pseudospectra by using the notion of Fredholm perturbation. Also, we state the condition under which the Wolf (respectively, Schechter) essential pseudospectrum of two different bounded linear operators coincides. Furthermore, we give some characterizations of the Wolf and Schechter essential pseudospectra of 3×3 upper triangular block operator matrices.
Citation: Sara Smail, Chafika Belabbaci. A characterization of Wolf and Schechter essential pseudospectra[J]. AIMS Mathematics, 2024, 9(7): 17146-17153. doi: 10.3934/math.2024832
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The aim of this paper is to provide new results on the Wolf and Schechter essential pseudospectra of bounded linear operators on a Banach space. More precisely, we characterize the Wolf and Schechter essential pseudospectra by using the notion of Fredholm perturbation. Also, we state the condition under which the Wolf (respectively, Schechter) essential pseudospectrum of two different bounded linear operators coincides. Furthermore, we give some characterizations of the Wolf and Schechter essential pseudospectra of 3×3 upper triangular block operator matrices.
The concept of pseudospectra was introduced by J. M. Varah, H. Landau, L. N. Trefethen and E. B. Davies. Due in particular to L. N. Trefethen, who advanced this approach for matrices and operators. This notion appears in a number of intriguing mathematical physics issues. Likewise, many mathematicians contributed to this field (see, for instance, [8,11,13]).
The pseudospectrum σε(T) of a closed, densely defined linear operator T, for ε>0, is determined by the following formula:
σε(T):=σ(T)∪{λ∈C such that ‖(λ−T)−1‖>1ε}, |
where σ(T) represents the spectrum of T.
In [8], EB. Davies has defined an equivalent definition of the pseudospectrum of a closed densely linear operator T, by
σε(T)=⋃‖D‖<εσ(T+D). |
In this paper, we are interested in giving various results on the essential pseudospectra of bounded linear operators on Banach spaces. The essential pseudospectra of block operator matrices have been studied over many years and by numerous authors (see, for example, [3,5]). Our work focuses on Wolf and Schechter's essential pseudospectra. Theorem 3.1 introduces a characterization of the Wolf and Schechter essential pseudospectra by means of Fredholm perturbation. In Theorem 3.2, we give a relation between the essential pseudospectrum and the essential spectrum of Wolf (respectively, Schechter). Theorem 3.3 provides conditions for which the Wolf (respectively, Schechter) essential pseudospectrum of two different bounded linear operators coincides. Furthermore, we give some new characterizations of the Wolf and Schechter essential pseudospectra of 3×3 block operator matrices by investigating a new decomposition of the upper triangular block operator matrices in Theorems 3.4 and 3.5 with application of the Fredholm perturbation concept.
The structure of this paper is as follows. In Section 2, we recall some elementary results that are fundamental for our purpose. The main results are presented in Section 3.
In this section, we collect some important definitions, notations, and preliminary results that will be needed in the sequel. Throughout this paper, X will denote a Banach space, and L(X) (respectively, K(X)), the set of all bounded linear (respectively, compact) operators on X. For T∈L(X), we designate by N(T) and R(T) the null space and the range of T, respectively. The nullity, α(T), of T is defined as the dimension of N(T), and the deficiency, β(T), of T is defined as the codimension of R(T) in X. The number i(T)=α(T)−β(T) is called the index of T.
The sets of upper semi-Fredholm and lower semi-Fredholm operators on X are respectively defined by
Φ+(X):={T∈L(X):α(T)<∞ and R(T) is closed }, |
Φ−(X):={T∈L(X):β(T)<∞}. |
The set of Fredholm operators on X is given by
Φ(X):=Φ+(X)∩Φ−(X). |
An operator F∈L(X) is called a Fredholm perturbation if T+F∈Φ(X) whenever T∈Φ(X). Denote by F(X) the set of Fredholm perturbations; we refer to [18] for more details about these notions.
The following lemma gives the stability of the Fredholm operator under Fredholm perturbation.
Lemma 2.1. [14, Lemma 2.1] Let T,F∈L(X). If T∈Φ(X) and F∈F(X), then T+F∈Φ(X) and i(T+F)=i(T).
Now, let us recall the notion of the pseudo-Fredholm operator.
Definition 2.1. Let ε>0 and T∈L(X).
(1) An operator T is called pseudo-Fredholm if T+D is a Fredholm operator for all D∈L(X) such that ‖D‖<ε.
(2) An operator T is called an upper (respectively, lower) pseudo semi-Fredholm if T+D is an upper (respectively, lower) semi-Fredholm operator for all D∈L(X) such that ‖D‖<ε.
Denote by Φε(X),Φε+(X) and Φε−(X) the sets of pseudo-Fredholm operators, the upper and lower pseudo semi-Fredholm operators, respectively.
In this paper, for S∈L(X), our concern is mainly the following S-essential spectra of Wolf and Schechter
σe4,S(A):={λ∈C:(λS−A)∉Φ(X)},σe5,S(A):={λ∈C:(λS−A)∉Φ(X) with i(λS−A)=0}. |
For essential pseudospectra, we are concerned with the following sets defined by
σe1,ε(T):={λ∈C:(λ−T)∉Φε+(X)},σe2,ε(T):={λ∈C:(λ−T)∉Φε−(X)},σe4,ε(T):={λ∈C:(λ−T)∉Φε(X)},σe5,ε(T):=⋂K∈K(X)σε(T+K). |
Note that if ε tends to 0 or S=I, we recover the usual definitions of Gustafson, Weidmann, Wolf, and Schechter essential spectra denoted respectively by σe1(T),σe2(T),σe4(T) and σe5(T) of a bounded linear operator T. Recalling that an operator T is a Riesz operator if σe4(T)={0}. For more details, the reader is referred to [11].
In [11], A. Jeribi has established the following results:
Proposition 2.1. Let ε>0 and T∈L(X). The following conditions are equivalent:
(1) λ∈σε(T).
(2) There exists a bounded operator D such that ‖D‖<ε and λ∈σ(T+D).
Proposition 2.2. Let ε>0 and T∈L(X), then λ∉σe5,ε(T) if and only if, for all D∈L(X) such that ‖D‖<ε, (T+D−λ)∈Φ(X) and i(T+D−λ)=0.
The purpose of this section is to present our main results on the Wolf and Schechter essential pseudospectra of bounded linear operators on a Banach space. In the following theorem, we give a characterization of the Wolf and Schechter essential pseudospectra.
Theorem 3.1. Let ε>0,T,D∈L(X) with ‖D‖<ε, then there exists S∈L(X) with DS∈F(X) such that
σei,S(TS)⊂σei,ε(T),i=4,5. |
Proof. (i) Let λ∉σe4,ε(T), then (λ−T−D)∈Φ(X) for all ‖D‖<ε. By using the Atkinson theorem [2, Theorem 4.46, p. 161], there exists S∈L(X) and K1∈K(X) such that (λ−T−D)S=IX−K1. Since K1∈K(X), then (IX−K1)∈Φ(X) with zero index. So (λI−T−D)S∈Φ(X), i.e., (λS−TS−DS)∈Φ(X). Using the fact that DS∈F(X) and the stability of Fredholm operators under Fredholm perturbations, we get (λS−TS)∈Φ(X). Hence λ∉σe4,S(TS).
(ii) By the same argument, we get σe5,S(TS)⊂σe5,ε(T).
The following main theorem aims to generalize the results of [9, Theorem 2.3] by giving a relation between the Wolf (respectively, Schechter) essential pseudospectrum and the Wolf (respectively, Schechter) essential spectrum.
Theorem 3.2. Let ε>0,T,D∈L(X) such that ‖D‖<ε and λ0∈ρ(T+D), then for λ≠λ0, we have
λ∈σei,ε(T)if and only if(λ0−λ)−1∈σei((λ0−T−D)−1),i=4,5. |
Proof. For λ∈C∖{λ0} and all bounded operator D such that ‖D‖<ε, the operator (λ−T−D) can be written as follows:
(λ−T−D)=(λ0−λ)(λ0−T−D)[(λ0−λ)−1−(λ0−T−D)−1]. | (3.1) |
(i) For i=4, suppose that (λ0−λ)−1∉σe4((λ0−T−D)−1), then ((λ0−λ)−1−(λ0−T−D)−1)∈Φ(X). Since (λ0−T−D)∈Φ(X), the use of [18, Theorem 5.7, p. 106] implies that (λ−T−D)∈Φ(X), hence λ∉σe4,ε(T). Now, let λ∉σe4,ε(T), then (λ−T−D)∈Φ(X). Since (λ0−T−D)∈Φ(X), then using Eq (3.1) and [18, Theorem 5.13, p. 110], we get ((λ0−λ)−1−(λ0−T−D)−1)∈Φ(X). Therefore (λ0−λ)−1∉σe4((λ0−T−D)−1).
(ii) The proof is analogous for i=5.
Now, we can state a condition under which the Wolf (respectively, Schechter) essential pseudospectrum of two different bounded linear operators coincides in the following theorem.
Theorem 3.3. Let ε>0,T,L∈L(X) and for all bounded operators, D with ‖D‖<ε. If for some λ0∈ρ(T+D)∩ρ(L+D) such that (λ0−T−D)−1−(λ0−L−D)−1∈F(X), then
σei,ε(T)=σei,ε(L),i=4,5. |
Proof. (i) Assume that λ∉σe4,ε(T). According to Theorem 3.2, this is equivalent to (λ0−λ)−1∉σe4((λ0−T−D)−1). Since (λ0−T−D)−1−(λ0−L−D)−1∈F(X), it follows from [15, Theorem 2.1] that (λ0−λ)−1∉σe4((λ0−L−D)−1). Therefore, by using Theorem 3.2 again, we have λ∉σe4,ε(L). This shows that σe4,ε(T)=σe4,ε(L).
(ii) In the same way, we get σe5,ε(T)=σe5,ε(L).
Now, we consider the following 3×3 block operator matrices defined on X3 by T=(T11T12T130T22T2300T33), D=(D1000D2000D3) where Tij,Dk∈L(X) and ‖D‖=maxk=1,2,3‖Dk‖<ε, (i.e., ‖Dk‖<ε, for all k=1,2,3).
In the following main theorem, we characterize the Wolf essential pseudospectrum of the 3×3 block operator matrix T.
Theorem 3.4. Let ε>0. If for all bounded operator D3 such that ‖D3‖<ε, (T33+D3) is a Reisz operator and T12∈F(X), then
σe4,ε(T)∖{0}=[σe4,ε(T11)∪σe4,ε(T22)]∖{0}. |
Proof. Let λ∉[σe4,ε(T11)∪σe4,ε(T22)]∖{0}, then (λ−T11−D1)∈Φ(X) and (λ−T22−D2)∈Φ(X) for all ‖Dk‖<ε,k=1,2. We have
λ−T−D=(λ−T11−D1−T12−T130λ−T22−D2−T2300λ−T33−D3)=A1×A2×A3+B, |
where A1=(I000I000λ−T33−D3), A2=(I0−T130I−T2300I), A3=(λ−T11−D1000λ−T22−D2000I) and B=(0−T120000000). Since block operator matrices A1,A2 and A3 are Fredholm, then A1×A2×A3 is Fredholm. So, (λ−T−D)∈Φ(X) by using the stability of the Fredholm operator by Fredholm perturbation B. Hence λ∉σe4,ε(T)∖{0}. For the inverse inclusion, let λ∉σe4,ε(T)∖{0}. Then
λ−T−D=(λ−T11−D1−T12−T130λ−T22−D2−T2300λ−T33−D3)∈Φ(X). |
By using the stability of the Fredholm operator by Fredholm perturbation −B, we get
(λ−T11−D10−T130λ−T22−D2−T2300λ−T33−D3)∈Φ(X). |
Since A1×A2∈Φ(X), then using [18, Theorem 5.13, p. 110], we get
A3=(λ−T11−D1000λ−T22−D2000I)∈Φ(X). |
Consequently, (λ−T11−D1)∈Φ(X) and (λ−T22−D2)∈Φ(X) for all ‖Dk‖<ε,k=1,2. Hence λ∉[σe4,ε(T11)∪σe4,ε(T22)]∖{0}.
Remark 3.1. If for all bounded operator D1 such that ‖D1‖<ε, (T11+D1) is a Reisz operator and T23∈F(X), then
σe4,ε(T)∖{0}=[σe4,ε(T22)∪σe4,ε(T33)]∖{0}. |
Similarly, we can prove this equality by using the decomposition given in [6]
λ−T−D=(λ−T11−D1−T12−T130λ−T22−D2−T2300λ−T33−D3)=A1×A2×A3×A4+B, |
where A1=(I000λ−T22−D2000λ−T33−D3), A2=(I−T1200I000I), A3=(I0−T130I000I), A4=(λ−T11−D1000I000I) and B=(00000−T23000).
An immediate consequence of Theorem 3.4 is the following remark concerning the Schechter essential pseudospectrum of the upper block operator matrix T.
Remark 3.2. Under the same hypotheses as Theorem 3.4, we can easily prove the following inclusion:
σe5,ε(T)∖{0}⊂[σe5,ε(T11)∪σe5,ε(T22)]∖{0}. |
Remark 3.3. Assume that the hypotheses of Remark 3.1 hold, then
σe5,ε(T)∖{0}⊂[σe5,ε(T22)∪σe5,ε(T33)]∖{0}. |
Similarly, we can prove this statement by using the same decomposition defined in Remark 3.1.
Finally, we conclude this paper by giving another characterization of the Schechter essential pseudospectrum of the block operator matrix T.
Theorem 3.5. Let ε>0 and T be the block operator matrix defined above, then we have
σe1,ε(T11)∪σe2,ε(T33)⊂σe5,ε(T)⊂3⋃k=1σe5,ε(Tkk). |
Proof. Let λ∉σe5,ε(T), then (λ−T−D)∈Φ(X) with i(λ−T−D)=0 for all ‖D‖<ε. So, the block operator matrix
λ−T−D=(λ−T11−D1−T12−T130λ−T22−D2−T2300λ−T33−D3)∈Φ(X). |
By using [1, Proposition 2.1, p. 1190], we get (λ−T11−D1)∈Φ+(X) and (λ−T22−D2)∈Φ−(X). We deduce that λ∉σe1,ε(T11)∪σe2,ε(T22). For the second inclusion, suppose that λ∉3⋃k=1σe5,ε(Tkk), then (λ−Tkk−Dk)∈Φ(X) with i(λ−Tkk−Dk)=0 for all ‖Dk‖<ε,k=1,2,3. By using [16, Lemma 1.33, p. 10], the triangular block operator matrix
(λ−T11−D1−T12−T130λ−T22−D2−T2300λ−T33−D3)∈Φ(X) |
is Fredholm with a zero index. This means that (λ−T−D)∈Φ(X) with i(λ−T−D)=0 for all ‖D‖<ε, which implies that λ∉σe5,ε(T).
In this work, we have introduced some new characterizations of the Wolf and Schechter essential pseudospectra of 3×3 block operator matrices by investigating a new decomposition of the upper triangular block operator matrices with application of the Fredholm perturbation notion.
S. Smail investigated the results of this paper and prepared the manuscript; C. Belabbaci provided critical feedback, reviewed, and approved the final version of the manuscript. All authors have read and approved the final version of the manuscript for publication.
The authors declare they have not used Artificial Intelligence (AI) tools in the creation of this article.
We are grateful to the anonymous referees for their careful reading of the manuscript.
No potential conflict of interest was reported by the authors.
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