Abstract
The spectral theory of operator matrices has several applications in elasticity, quantum mechanics, fluid dynamics, and other fields of mathematical physics. The study of operator matrices is more challenging when the involved operators are not single-valued and should be studied in the context of the theory of relations. In this paper, we utilize the connection between linear relations and their induced operators and use space decomposition methods to characterize the distribution of the spectrum for upper triangular relation matrices. We undertake the same for the essential spectrum, Weyl spectrum, and Browder spectrum. Under certain conditions, we obtain a Browder-type theorem and a Weyl-type theorem for such relation matrices.
Keywords:
relation matrix; essential spectrum; Weyl spectrum; Browder-type theorem; Weyl-type theorem MSC:
46C07; 47A06; 47A08; 47A11; 47A25; 47A53
1. Introduction
A linear relation is also called a multi-valued linear operator, which is a generalization of the concept of an operator in the multi-valued case. We call a linear relation if for all nonzero and (the domain of T),
where H and K are infinite dimensional complex Hilbert spaces, and and are nonempty subsets of K. is the class of all linear relations with into K. is the set of bounded linear operators from H into K, and we write , .
Let . The graph of T is given by
The closure of T, denoted by , is the linear relation defined by The inverse relation of T is given by The relation T is called closed if is a closed subspace of , continuous if the inverse image of any neighborhood is again a neighborhood in H, and bounded if and T is continuous. We denote by the set of all closed relations from H into K, and we denote by the class of bounded relations. is the class of all closed and bounded linear relations from H into K, and . We denote the range and the kernel of T by and ; we write , , , and . We write the quotient map. It is clear that is an operator so that we can define for and . We can see that T is continuous if and only if .
Let , then is closed and (see ([1], Theorem 2.13)).
Let , the adjoint relation be defined by and
Let . Then is closed if and only if is closed (see ([2], Theorem III.4.4)).
Let relation be closed with closed, then we say T is left Fredholm, denoted by if ; it is right Fredholm, denoted by , if ; it is Fredholm, denoted by , if T is both left and right Fredholm; it is Weyl, denoted by , if T is a Fredholm relation and ; it is left Weyl, denoted by , if T is left Fredholm and ; it is Browder, denoted by , if T is Weyl with finite ascent and descent; and it is left Browder, denoted by , if T is left Weyl of finite ascent, where the ascent and descent of relation T are defined by
Let . The resolvent set of T is the set
Moreover, if T is closed, the resolvent set of T is the set
The spectrum of T is the set For (see ([1], Lemma 2.14)).
The point spectrum , defect spectrum , approximate point spectrum , essential spectrum , left essential spectrum , right essential spectrum , Weyl spectrum , essential approximate point spectrum , Browder spectrum , Browder essential approximate point spectrum , and closed-range spectrum of T are, respectively, defined by
Let and . Then if and only if and is closed (see ([1], Theorem 2.10)).
Definition 1
(see ([3], Definition 3.1)). Let . The local resolvent set of T at is defined as the set of all such that there are an open neighborhood of λ and an analytic function , which satisfies
The local spectrum set of T at is defined as .
Definition 2
(see ([3], Definition 3.2)). Let , . If for every neighborhood of the only analytic function which satisfies Equation is the constant function , then T is said to have the single-valued extension property at , abbreviated T has the SVEP at .
T is said to have the SVEP if T has the SVEP at any . Denote the set of for which T has no SVEP. Clearly, T has the SVEP if and only if Let and be a subspace, then the relation is given by
Write . It is clear that is single-valued. For and , the notation is a row relation from into H, i.e., for all .
The linear relation was introduced to consider adjoints of nondensely defined linear differential operators by J. von Neumann [4]. At present, the theoretical research has applications in many problems, for example, the study of some Cauchy problems is related to the theory of linear relations [5]; the fixed point theory of linear relations has applications in mathematical economics, optimal control, digital imaging, discontinuous differential equations, and game theory [6]. Recently, several researchers have been interested in the study of the spectral theory for relation matrices [1,7,8,9,10,11,12], of which article [12] shows that the spectral properties of the upper triangular relation matrix
are related to the multi-valued part of relation , and it obtains the inclusion In Section 2, we investigate the basic properties of relation T and upper triangular relation matrix . Based on these properties, we obtain the spectral properties for . In Section 3, based on the results in [12], we give the set
under the local spectral theory, where . In Section 4, we extend the results in [13] and explore how Browder’s theorem, a-Browder’s theorem, and Weyl’s theorem survive for upper triangular relation matrix . Meanwhile, we give a new method for studying the Weylness of relation matrices where all internal elements are multi-valued linear operators.
2. Auxiliary Results
In this section, we collect some fundamental properties on linear operators, relations, and relation matrices, which will be used in later proofs. Let T be a linear relation in a linear space X; the singular chain manifold of T is defined by , where and . The lemma below is from Theorems 6.5, 6.13, and 6.11 and Corollary 6.7 of [14].
Lemma 1.
Assume that T is a linear relation in a linear space X:
- (i)
- If and , then
- (ii)
- If and , then
- (iii)
- If , and , then ;
- (iv)
- If with and , then and .
Lemma 2
(see ([7], Lemma 4.2 and [9], Proposition 10)). Let :
- (i)
- if and only if , and
- (ii)
- if and only if , and
- (iii)
- If , then and ;
- (iv)
- If and , then and .
Lemma 3
(see ([15], Proposition 2.1)). Let with . If such that , then
- (i)
- T has the SVEP at λ if and only if ;
- (ii)
- has the SVEP at λ if and only if .
Lemma 4
(see ([16], Lemma 2.6)). Let T be a linear relation in a Banach space X. Then
- (i)
- if and only if for any ;
- (ii)
- If , then .
For upper triangular relation matrix , we have the following Lemmas 5–10.
Lemma 5
(see ([17], Proposition 2.7)). For , and ,
Remark 1.
For , and from Lemma 5, we can obtain that is closed if and only if and are closed.
Lemma 6
(see ([1], Theorem 2.12)). Let , and with closed. Then the adjoint of is single-valued, and
Lemma 7
(see ([1], Theorem 3.2)). Let , . Then
Lemma 8
(see ([17], Theorem 3.22)). For and , there exists with such that if and only if , is closed, and
Lemma 9
(see ([17], Theorem 3.17)). Let . Then there is with such that if and only if , and
Lemma 10
(see ([12], Theorem 3.1)). Let , and . Then
- (i)
- (ii)
- If and are closed, then
- (iii)
- If and are closed, then
Proposition 1.
Let with . Then .
Proof.
Note that for any Since and , we then know that if and only if Hence, . □
Proposition 2.
Let with closed. If and , then .
Proof.
Assume, to the contrary, that . Then T has the SVEP at 0. It is clear that . So, from Lemma 3(i), we have By Lemmas 1(i) and 4, , contradicting the assumption . □
Proposition 3.
Let , , and . If , then and .
Proof.
Assume that . By Lemma 2(i),(ii), we have , so then according to Lemma 5. Again, from Lemma 2(ii), . To complete the proof, it remains to be shown . The closedness of means that is closed and so is closed. It is clear that , therefore is closed. Note that
Moreover, it follows from that is closed, so
is closed. This together with the closedness of means that is closed, and so is closed. Hence, . □
Proposition 4.
Let and . Then and are bounded. Moreover, if is closed, then is invertible if and only if so is .
Proof.
Note that
and
It follows from the boundedness of T that both and are bounded linear relations. Assume that is closed. Then Clearly, is surjective if and only if is too. Hence, the conclusion is valid. □
Proposition 5.
Let . Then .
Proof.
Assume that , so it suffices to prove that , i.e., T has the SVEP at Let be an analytic function and for all Note that f is an analytic function on . Then there is a sequence so that for all The analyticity of shows that and then
which ensures , and hence Furthermore, this means that for , so
for all . Note that T is closed. Then it is not hard to see that equality (2) is valid for every by continuity. Similar to the proof above, we can obtain that . Then, for all integers , by iterating this procedure. Hence, on which indicates that T has the SVEP at □
Proposition 6.
Let . Then
Proof.
The inclusion is clear by Proposition 5. Next we will show that the converse inclusion is also valid. Now suppose that , so we need only to prove . Let Note that is surjective, which together with the closedness of T implies that there is and such that
and it is clear that Take analytic function for all ,
Since T has the SVEP at , we then have that for all , and hence , which means that Observe that is surjective. Thus, □
Proposition 7.
Let . Then
Proof.
Evidently, To complete the proof, it suffices to prove that the opposite inclusion is valid. We now suppose that , Note that is surjective. Then the closedness of T implies that there is and such that
Take analytic function for any , so we have
which ensures that . Thus, □
Proposition 8.
Let , and is finite rank. Then is closed if and only if is closed.
Proof.
Sufficiency: The closedness of T implies that is closed. Since is closed and , we know that is closed. Hence is closed.
Necessity: Note that . Then, from the sufficiency, the necessity follows immediately. □
Proposition 9.
Let , , and . Then .
Proof.
Assume that . Then there are a neighborhood of and a nonzero analytic function such that for all It is not hard to see that
which means that and hence . □
Proposition 10.
Let , and . Then for any .
Proof.
It is clear that For the opposite inclusion, we assume that Then there are a neighborhood and analytic functions , such that
for all The fact that implies that on , and so . This means that
for all Therefore, . □
Proposition 11.
Let and with closed. Then
Proof.
Note that . Then and so is bounded, which together with the closedness of ensures that is closed. It follows from Remark 1 that is closed. By virtue of Propositions 7 and 10, we know
Moreover, the converse inclusion is clear. Hence, the conclusion is valid. □
3. Spectral Properties of Relation Matrices
In this section, we mainly obtain the properties of spectra of upper triangular relation matrices, i.e., Theorems 1–5.
Theorem 1.
Let , and with closed. Then
Proof.
We first prove Let It suffices to show that i.e., is invertible. The invertibility of means that is invertible. It follows from the invertibility of that is invertible by Proposition 4. Note that is bounded. According to Lemma 5,
and is a single-valued relation. From this, we then have that is invertible, and hence is invertible, which shows that By Proposition 5, . In addition, the opposite inclusion can be obtained according to Propositions 9 and 11. Hence, □
The following theorem is a generalization of ([18], Theorem 2.5).
Theorem 2.
Let , and with closed. Then
Proof.
We first show that . By virtue of Lemma 6 and Theorem 1, we know
We claim that Indeed, it is not hard to see that and
for and . Since , . Therefore, . Note that by Theorem 1. Hence, □
Next we give an example to illustrate the result above.
Example 1.
Let be given by
for all , respectively. Then
Note that We claim Indeed, let T be the left shift operator on defined by for all , so it is easy to see that and , which together with Proposition 1 and imply that Since and is closed, then by Theorem 2,
Moreover, observing that and . Then we can know that
Note that . This shows that the spectral properties of upper triangular relation matrices are related to the multi-valued part of relation .
Theorem 3.
Let , and with and . Then
Proof.
Assume that Then . By Proposition 3, we have and Note that by Lemma 10(i). Then, to finish the proof, it is sufficient to show On the contrary, suppose then there are two cases to consider.
Case 1: If i.e., . It is clear that In view of , we can see that . Then, from Proposition 2, and so , which means that . Moreover, from equality (1), we have
The fact that implies , and hence, according to Lemma 5, so . Again, by Lemma 5, so which contradicts the hypothesis
Case 2: If then according to Proposition 2, so Similar to the proof above, we can obtain that which contradicts the hypothesis □
Theorem 4.
Let , and with and . Then
Proof.
Suppose that , so we have . Let Then to complete the proof, it suffices to show that . Note that and by the proof of Theorem 3. By virtue of Lemma 5, Note that
and
Then , which together with Lemma 2(i),(ii) means that Observe that . If , then . By Proposition 2, we have
However, if , then similarly, we have , contradicting the assumption . Hence, □
Theorems 3 and 4 extend the result of ([19], Theorems 3.2 and 3.3) to the case of a linear relation. The next theorem is a generalization of ([20], Theorem 2.3).
Theorem 5.
Let , and with and . Then
Proof.
We first show that
It suffices to prove that by Lemma 10(iii). We now suppose so then , , and . By virtue of Lemma 3, and , which means that .
For the reverse inclusion, let , so it suffices to prove Evidently, , which together with Proposition 3 means that and , and according to Lemmas 2(iii), (iv) and 6,
It follows from the proof of Theorem 2 that , then by Lemma 2(iii). Note that . Then is closed. It is clear that , so
It is not hard to see that so There are two case as follows.
Case 1: If , by Proposition 2, , and so , which together with implies that according to Lemmas 1(i) and 4; thus, . Then, from , we have Since then Lemma 5 show that , which together with and means that
It follows from that . By Lemma 1(iii), (iv), and . Hence,
Case 2: If , similar to the proof of case 1, we can obtain
Therefore, the reverse inclusion is valid. □
4. Weyl-Type Theorems of Relation Matrices
In this section, we mainly study Browder’s theorem, a-Browder’s theorem, and Weyl’s theorem for upper triangular relation matrices, i.e., Theorems 7–10. As their corollaries, some related properties are also characterized. In the sequel, we write , , and where is the isolated point of
For , if , we say Browder’s theorem holds for T, while if , we say a-Browder’s theorem holds for T; T satisfies Weyl’s theorem if .
Lemma 11
(see ([21], Theorem 4.1)). Let with . If Weyl’s theorem holds for T, then .
Lemma 12
(see ([22], Theorem 4.2)). Let with . If and , then λ is an isolated point of .
Proposition 12.
Let with . Then
Proof.
Let . Then , and is a Browder relation. It is clear that . By Lemma 12, we can obtain that Hence, □
Theorem 6.
Let with and . Then
- (i)
- if and only if A and B have the SVEP on
- (ii)
- if and only if A and B have the SVEP on
Proof.
(i) Let . Then it is clear that
Let that is, . It follows from that and . By Lemma 3, A and B have the SVEP on
Conversely, since , we only need to show that . Assume that Then . Note that A and B have the SVEP at . Then and according to Proposition 2, which together with implies that
Since A and B have the SVEP at , and . By virtue of Lemmas 1(iii) and 4, and , which means that Hence,
(ii) Let . Then we can know Assume that that is, . Then implies that and so , and . By Lemma 3, A and B have the SVEP on
Conversely, since , we only need to show . Suppose Then . Since A and B have the SVEP at , and according to Proposition 2, then . By Lemma 3, we can learn that and , which means that . Hence . □
Remark 2.
(i) Clearly, Theorem 6 implies that Browder’s theorem holds for if and only if A and B have the SVEP at , and a-Browder’s theorem holds for if and only if A and B have the SVEP at .
(ii) For and , where , then clearly, is single-valued and bounded. Note that
so satisfies Weyl’s theorem if and only if satisfies Weyl’s theorem. This will simplify the study of the Weylness of relation matrices with all internal elements being multi-valued operators.
Theorem 7.
Let with , , and closed. If satisfies Browder’s theorem and at least one of the following conditions holds:
- (i)
- has the SVEP at and B has the SVEP at
- (ii)
- has the SVEP at and has the SVEP at
- (iii)
- has the SVEP at and has the SVEP at
then satisfies Browder’s theorem.
Proof.
Let Browder’s theorem holds for . Note that
Then the boundedness of A means that is bounded, which together with the closedness of shows that is closed, and so is closed since B is closed. From this, we have that is closed if and only if is closed. It follows from and that
According to Lemma 2(iii), we can obtain that Then Browder’s theorem holds for if and only if Browder’s theorem holds for . By virtue of Theorem 6, and B have the SVEP at and and have the SVEP at according to Lemma 6. Note that and then hypotheses (i), (ii), and (iii) mean, respectively, that
- (i)’
- has the SVEP at and B has the SVEP at
- (ii)’
- has the SVEP at and has the SVEP at
- (iii)’
- has the SVEP at and has the SVEP at
It is clear that , so to finish the proof, we have to show . Let so then . It follows from and Lemma 9 that and
By Proposition 2, and if (i)’ holds, if (ii)’ holds, and and if (iii)’ holds. Then means that
and so . Note that Then , which means that and B have the SVEP at according to Remark 2(i). By virtue of Lemmas 3 and 1(iii), and Then shows that hence according to Lemma 10(iii). □
Corollary 1.
Let with and . If satisfies Browder’s theorem and at least one of the following conditions holds:
- (i)
- A has the SVEP at and B has the SVEP at
- (ii)
- A has the SVEP at and has the SVEP at
- (iii)
- has the SVEP at and has the SVEP at
then satisfies Browder’s theorem for all .
Corollary 2.
Let with , , and closed. If and B have the SVEP, and satisfies Browder’s theorem, then satisfies Browder’s theorem.
Corollary 3.
Let with and . If A and B have the SVEP, and satisfies Browder’s theorem, then satisfies Browder’s theorem for all .
Theorem 8.
Let with , , and closed. If satisfies a-Browder’s theorem and at least one of the following conditions holds:
- (i)
- has the SVEP at and has the SVEP at
- (ii)
- has the SVEP at and has the SVEP at
then satisfies a-Browder’s theorem.
Proof.
Let a-Browder’s theorem hold for . Then it is easy to see that Browder’s theorem holds for . From the proof of Theorem 7, we can know that has the SVEP at , which together with Remark 2(i) shows that hypotheses (i) and (ii) mean, respectively, that
- (i)’
- has the SVEP at and has the SVEP at
- (ii)’
- has the SVEP at and has the SVEP at
Clearly, . To finish the proof, we need to verify that . Let so we have , which implies that
by Remark 2(ii) and Lemma 8. Similar to the proof of Theorem 7, we have that if (i)’ holds and and if (ii)’ holds. Let either (i)’or (ii)’ hold, so we know that
and by Lemma 8, which means . By Remark 2(i), and B have the SVEP at It follows from Lemma 3 that
So , which means by Lemma 10(ii). Hence, i.e., a-Browder’s theorem holds for . □
Corollary 4.
Let with and . If satisfies a-Browder’s theorem and at least one of the following conditions holds:
- (i)
- A has the SVEP at and has the SVEP at
- (ii)
- has the SVEP at and has the SVEP at ,
then satisfies a-Browder’s theorem for all .
Applying Theorems 7 and 8 yields the following result for upper triangular relation matrices.
Theorem 9.
Let with , , and closed. If satisfies Browder’s (a-Browder’s) theorem, and either and A have the SVEP or and have the SVEP, then satisfies Browder’s (a-Browder’s) theorem.
Corollary 5.
Let with and . If satisfies Browder’s (a-Browder’s) theorem, and either and A have the SVEP or and have the SVEP, then satisfies Browder’s (a-Browder’s) theorem for all .
Theorem 10.
Let with , , and closed. If at least one of the hypotheses (i), (ii), and (iii) of Theorem 7 is satisfied, and satisfies Weyl’s theorem, then satisfies Weyl’s theorem if and only if .
Proof.
Sufficiency: Assume that satisfies Weyl’s theorem, so we have that satisfies Browder’s theorem according to Lemma 11, which together with one of the hypotheses (i)–(iii) of Theorem 7 means that satisfies Browder’s theorem, and by the proof of Theorem 7. We claim that Indeed, from the proof of Theorem 7, we have that has the SVEP at or B has the SVEP at . Let . Since according to Lemma 7, and hence is injective, is closed, and is surjective, then
By virtue of Proposition 2, we can obtain that , and then , which implies that In addition, is clear. Hence,
Since satisfies Weyl’s theorem and , we have
Note that satisfies Browder’s theorem. So, applying Proposition 12, we have that and hence To prove the sufficiency, it suffices to show Assume that Then the expression indicates Evidently, means that , and means that . Next we prove that On the contrary, let As a relation from to , the relation admits the block expression
There are two cases to consider here.
Case 1: dim It follows from that and so , which is a contradiction.
Case 2: dim Note that Then which together with and indicates that Then dim and so
which is a contradiction. Hence, This, together with and , shows that which means that Therefore, i.e., satisfies Weyl’s theorem.
Necessity: Assume that and satisfy Weyl’s theorem, and we have from the proof above that
Let then and , so we can easily obtain that , i.e., . □
From the proof of Theorem 10, we have the following theorem.
Theorem 11.
Let with , , and closed. If at least one of the hypotheses (i), (ii), and (iii) of Theorem 7 is satisfied, and satisfies Weyl’s theorem, then satisfies Weyl’s theorem if and only if for all .
Corollary 6.
Let with and . If at least one of the hypotheses (i), (ii), and (iii) of Corollary 1 is satisfied, and satisfies Weyl’s theorem, then satisfies Weyl’s theorem if and only if .
Corollary 7.
Let with and . If at least one of the hypotheses (i), (ii), and (iii) of Corollary 1 is satisfied, and satisfies Weyl’s theorem, then satisfies Weyl’s theorem if and only if for all .
We end this section with an example to illustrate the previous result.
Example 2.
Let , , and be given by
for any , respectively.
Note that , , A and B have the SVEP. Since , , satisfies Weyl’s theorem. However, and , so does not satisfy Weyl’s theorem according to Corollary 7. Indeed, , , which means that does not satisfy Weyl’s theorem.
5. Conclusions
Certain spectral properties and Weyl-type theorems of upper triangular relation matrix in infinite dimensional complex separable Hilbert spaces are considered in this paper. Specifically, the defect set is characterized for given relations , , and , where is chosen from the spectrum, the essential spectrum, the Weyl spectrum, and the Browder spectrum, and we give an example to illustrate the result. Additionally, under certain conditions, we show that relation matrices satisfy Browder- and Weyl-type theorems. Our results extend those of the single-valued operator theory in a Hilbert space by using the properties of the multi-valued parts and the induced quotient map and space decomposition methods. As for future directions, there is a lack of specific examples for some of our main conclusions, and we are going to address this shortcoming in a forthcoming paper.
Author Contributions
Conceptualization, Y.D.; methodology, Y.D.; validation, Y.D. and J.H.; formal analysis, J.H.; writing—original draft preparation, Y.D.; writing—review and editing, Y.D. and J.H. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported by the National Natural Science Foundation of China (No. 12461027) and the Program for Innovative Research Team in Universities of Inner Mongolia Autonomous Region (No. NMGIRT2317).
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
References
- Du, Y.Y.; Huang, J.J. Spectral property of upper triangular relation matrices. Linear Multilinear Algebra 2022, 70, 1526–1542. [Google Scholar] [CrossRef]
- Cross, R. Multivalued Linear Operators; Marcel Dekker: New York, NY, USA, 1998. [Google Scholar]
- Ammar, A.; Bouchekoua, A.; Jeribi, A. The local spectral theory for linear relations involving SVEP. Mediterr. J. Math. 2021, 18, 77. [Google Scholar] [CrossRef]
- von Neumann, J. Functional Operator II: The Geometry of Orthogonal Spaces; Princeton University Press: Princeton, NJ, USA, 1950. [Google Scholar]
- Favini, A.; Yagi, A. Multivalued linear operators and degenerate evolution equations. Ann. Mat. Pura Appl. 1993, 163, 353–384. [Google Scholar] [CrossRef]
- Kaczynski, T. Multivalued maps as a tool in modeling and rigorous numerics. J. Fixed Point Theory Appl. 2008, 4, 151–176. [Google Scholar] [CrossRef]
- Álvarez, T.; Ammar, A.; Jeribi, A. On the essential spectra of some matrix of linear relations. Math. Methods Appl. Sci. 2014, 37, 620–644. [Google Scholar] [CrossRef]
- Álvarez, T.; Chamkha, Y.; Mnif, M. Left- and right-Atkinson linear relation matrices. Mediterr. J. Math. 2016, 13, 2039–2059. [Google Scholar] [CrossRef]
- Chamkha, Y.; Mnif, M. Browder spectra of upper triangular matrix linear relations. Publ. Math. Debr. 2013, 82, 569–590. [Google Scholar] [CrossRef]
- Elleuch, S.; Mnif, M. Essential approximate point spectra for upper triangular matrix of linear relations. Acta Math. Sci. 2013, 33B, 1187–1201. [Google Scholar] [CrossRef]
- Ammar, A.; Jeribi, A.; Saadaoui, B. A characterization of essential pseudospectra of the multivalued operator matrix. Anal. Math. Phys. 2018, 8, 325–350. [Google Scholar] [CrossRef]
- Du, Y.Y.; Huang, J.J. Essential spectra of upper triangular relation matrices. Monatshefte Math. 2023, 200, 43–61. [Google Scholar] [CrossRef]
- Duggal, B.P. Upper triangular operator matrices, SVEP and Browder, Weyl theorems. Math. Methods Appl. Sci. 2009, 63, 17–28. [Google Scholar] [CrossRef][Green Version]
- Sandovici, A.; Snoo, H.D.; Winkler, H. Ascent, descent, nullity, defect, and related notions for linear relations in linear spaces. Linear Algebra Appl. 2007, 423, 456–497. [Google Scholar] [CrossRef]
- Álvarez, T.; Keskes, S. Spectra for upper triangular linear relation matrices through local spectral theory. Aequ. Math. 2024, 98, 399–422. [Google Scholar] [CrossRef]
- Chafai, E.; Mnif, M. Ascent and essential ascent spectrum of linear relations. Extr. Math. 2016, 31, 145–167. [Google Scholar]
- Huang, J.J.; Du, Y.Y.; Huo, R. Fredholm properties of upper triangular matrices of relations. Adv. Oper. Theory 2023, 8, 44. [Google Scholar] [CrossRef]
- Elbjaoui, H.; Zerouali, E.H. Local spectral theory for 2 × 2 operator matrices. Int. J. Math. Math. Sci. 2003, 42, 2667–2672. [Google Scholar] [CrossRef]
- Zerouali, E.H.; Zguitti, H. Perturbation of spectra of operator matrices and local spectral theory. J. Math. Anal. Appl. 2006, 324, 992–1005. [Google Scholar] [CrossRef][Green Version]
- Djordjevi, S.V.; Zguitti, H. Essential point spectra of operator matrices trough local spectral theory. J. Math. Anal. Appl. 2008, 338, 285–291. [Google Scholar] [CrossRef]
- Keskes, S. Weyl’s type theorems for linear relations satisfying the single valued extension property. Monatshefte Math. 2023, 201, 803–824. [Google Scholar] [CrossRef]
- Lajnef, M.; Mnif, M. Isolated spectral points of a linear relation. Monatshefte Math. 2020, 191, 595–614. [Google Scholar] [CrossRef]
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