� EXTRACTA MATHEMATICAE Volumen 33, Número 2, 2018 instituto de investigación de matemáticas de la universidad de extremadura EXTRACTA MATHEMATICAE Vol. 35, Num. 2 (2020), 197 – 204 doi:10.17398/2605-5686.35.2.197 Available online October 20, 2020 On angular localization of spectra of perturbed operators M.I. Gil’ Department of Mathematics, Ben Gurion University of the Negev P.O. Box 653, Beer-Sheva 84105, Israel gilmi@bezeqint.net Received June 29, 2020 Presented by Manuel González Accepted September 17, 2020 Abstract: Let A and à be bounded operators in a Hilbert space. We consider the following problem: let the spectrum of A lie in some angular sector. In what sector the spectrum of à lies if A and à are “close”? Applications of the obtained results to integral operators are also discussed. Key words: Operators, spectrum, angular location, perturbations, integral operator. AMS Subject Class. (2010): 47A10, 47A55, 47B10. 1. Introduction and preliminaries Let H be a complex separable Hilbert space with a scalar product (. , .), the norm ‖.‖ = √ (. , .) and unit operator I. By B(H) we denote the set of bounded operators in H. For an A ∈ B(H), A∗ is the adjoint operator, ‖A‖ is the operator norm and σ(A) is the spectrum. We consider the following problem: let A and à be “close” operators and σ(A) lie in some angular sector. In what sector σ(Ã) lies? Not too much works are devoted to the angular localizations of spectra. The papers [5, 6, 7, 8] should be mentioned. In particular, in the papers by E.I. Jury, N.K. Bose and B.D.O. Anderson [5, 6] it is shown that the test to de- termine whether all eigenvalues of a complex matrix of order n lie in a certain sector can be replaced by an equivalent test to find whether all eigenvalues of a real matrix of order 4n lie in the left half plane. The results from [5] have been applied by G.H. Hostetter [4] to obtain an improved test for the zeros of a polynomial in a sector. In [7] M.G. Krein announces two theorems con- cerning the angular localization of the spectrum of a multiplicative operator integral. In the paper [8] G.V. Rozenblyum studies the asymptotic behavior of the distribution functions of eigenvalues that appear in a fixed angular region of the complex plane for operators that are close to normal. As applications, he calculates the asymptotic behavior of the spectrum of two classes of oper- ISSN: 0213-8743 (print), 2605-5686 (online) c© The author(s) - Released under a Creative Commons Attribution License (CC BY-NC 3.0) https://doi.org/10.17398/2605-5686.35.2.197 mailto:gilmi@bezeqint.net https://www.eweb.unex.es/eweb/extracta/ https://creativecommons.org/licenses/by-nc/3.0/ 198 m.i. gil’ ators: elliptic pseudo-differential operators acting on the sections of a vector bundle over a manifold with a boundary, and operators of elliptic boundary value problems for pseudo-differential operators. It should be noted that in the just pointed papers the perturbations of an operator whose spectrum lie in a given sector are not considered. Below we give bounds for the spectral sector of a perturbed operator. Without loss of the generality it is assumed that β(A) := inf Re σ(A) > 0. (1.1) If this condition does not hold, instead of A we can consider perturbations of the operator A1 = A + Ic with a constant c > |β(A)|. For a Y ∈B(H) we write Y > 0 if Y is positive definite, i.e., infx∈H,‖x‖=1 (Y x,x) > 0. Let Y > 0. Define the angular Y -characteristic τ(A,Y ) of A by cos τ(A,Y ) := inf x∈H,‖x‖=1 Re(Y Ax,x) |(Y Ax,x)| . The set S(A,Y ) := {z ∈ C : |arg z| ≤ τ(A,Y )} will be called the Y -spectral sector of A. Lemma 1.1. For an A ∈B(H), let condition (1.1) hold and Y be a positive definite operator, such that (Y A)∗+Y A > 0. Then σ(A) lies in the Y -spectral sector of A. Proof. Take a ray z = reit (0 < r < ∞) intersecting σ(A), and take the point z0 = r0e it on it with the maximum modulus. By the theorem on the boundary point of the spectrum [1, Section I.4.3, p. 28] there exists a normed sequence {xn}, such that Axn −z0xn → 0 , (n →∞). Hence, Re(Y Axn,xn) |(Y Axn,xn)| = Re r0e it(Y xn,xn) r0|(Y xn,xn)| + �n = cos t + �n with �n → 0 as n →∞ . So z0 is in S(A,Y ). This proves the lemma. Example 1.2. Let A = A∗ > 0. Then condition (1.1) holds. For any Y > 0 commuting with A (for example Y = I) we have (Y A)∗ + Y A = 2Y A and Re(Y Ax,x) = |(Y Ax,x)|. Thus cos τ(A,Y ) = 1 and S(A,Y ) = {z ∈ C : arg z = 0}. on angular localization of spectra 199 So Lemma 1.1 is sharp. Remark 1.3. Suppose A has a bounded inverse. Recall that the quantity dev(A) defined by cos dev(A) := inf x∈H,x 6=0 Re(Ax,x) ‖Ax‖‖x‖ is called the angular deviation of A, cf. [1, Chapter 1, Exercise 32]. For example, for a positive definite operator A one has cos dev(A) = 2 √ λMλm λM + λm , where λm and λM are the minimum and maximum of the spectrum of A, respectively (see [1, Chapter 1, Exercise 33]). Besides, in Exercise 32 it is pointed that the spectrum of A lies in the sector |arg z| ≤ dev(A). Since |(Ax,x)| ≤ ‖Ax‖‖x‖, Lemma 1.1 refines the just pointed assertion. 2. The main result Let A be a bounded linear operator in H, whose spectrum lies in the open right half-plane. Then by the Lyapunov theorem, cf. [1, Theorem I.5.1], there exists a positive definite operator X ∈B(H) solving the Lyapunov equation 2 Re(AX) = XA + A∗X = 2I. (2.1) So Re(XAx,x) = ((XA + A∗X)x,x)/2 = (x,x) (x ∈H) and cos τ(A,X) = inf x∈H,‖x‖=1 (x,x) |(XAx,x)| = 1 supx∈H,‖x‖=1 |(XAx,x)| ≥ 1 ‖AX‖ . Put J(A) = 2 ∫ ∞ 0 ‖e−At‖2dt. Now we are in a position to formulate our main result. Theorem 2.1. Let A,à ∈B(H), condition (1.1) hold and X be a solution of (2.1). Then with the notation q = ‖A− Ã‖ one has cos τ(Ã,X) ≥ cos τ(A,X) (1 −qJ(A)) (1 + qJ(A)) , provided qJ(A) < 1. 200 m.i. gil’ The proof of this theorem is based on the following lemma. Lemma 2.2. Let A,à ∈ B(H), condition (1.1) hold and X be a solution of (2.1). If, in addition, q‖X‖ < 1, (2.2) then cos τ(Ã,X) ≥ cos τ(A,X) (1 −‖X‖q) (1 + ‖X‖q) . Proof. Put E = à − A. Then q = ‖E‖ and due to (2.1), with x ∈ H, ‖x‖ = 1, we obtain Re(X(A + E)x,x) ≥ Re(XAx,x) −|(XEx,x)| = (x,x) −|(XEx,x)| ≥ (x,x) −‖X‖‖E‖‖x‖2 = 1 −‖X‖q. (2.3) In addition, |(X(A + E)x,x)| ≤ |(XAx,x)| + ‖X‖‖E‖‖x‖2 = |(XAx,x)| ( 1 + ‖X‖q |(XAx,x)| ) (‖x‖ = 1). But |(XAx,x)| ≥ |Re(XAx,x)| = Re(XAx,x) = (x,x) = 1. Hence |(X(A + E)x,x)| ≤ |(XAx,x)| ( 1 + ‖X‖q Re(XAx,x) ) ≤ |(XAx,x)|(1 + ‖X‖q). Now (2.3) yields. Re(XÃx,x) |(XÃx,x)| ≥ (1 −‖X‖q) |(XAx,x)|(1 + ‖X‖q) (‖x‖ = 1), provided (2.2) holds. Since cos τ(Ã,X) = inf x∈B,‖x‖=1 Re(XÃx,x) |(XÃx,x)| , we arrive at the required result. on angular localization of spectra 201 Proof of Theorem 2.1 Note that X is representable as X = 2 ∫ ∞ 0 e−A ∗te−Atdt [1, Section 1.5]. Hence, we easily have ‖X‖ ≤ J(A). Now the latter lemma proves the theorem. 3. Operators with Hilbert-Schmidt Hermitian components In this section we obtain an estimate for J(A) (A ∈B(H)) assuming that A ∈B(H) and AI := (A−A∗)/i is a Hilbert-Schmidt operator, (3.1) i.e., N2(AI) := (trace(A 2 I)) 1/2 < ∞. Numerous integral operators satisfy this condition. Introduce the quantity (the departure from normality) gI(A) := [ 2N22 (AI) − 2 ∞∑ k=1 |Im λk(A)|2 ]1/2 ≤ √ 2N2(AI), where λk(A) (k = 1, 2, . . .) are the eigenvalues of A taken with their mul- tiplicities and ordered as |Im λk+1(A)| ≤ |Im λk(A)|. If A is normal, then gI(A) = 0, cf. [2, Lemma 9.3]. Lemma 3.1. Let conditions (1.1) and (3.1) hold. Then J(A) ≤ Ĵ(A), where Ĵ(A) := ∞∑ j,k=0 g j+k I (A)(k + j)! 2j+kβj+k+1(A)(j! k!)3/2 . Proof. By [2, Theorem 10.1] we have ‖e−At‖≤ exp [ −β(A)t ] ∞∑ k=0 gkI (A)t k (k!)3/2 (t ≥ 0). 202 m.i. gil’ Then J(A) ≤ 2 ∫ ∞ 0 exp[−2β(A)t] ( ∞∑ k=0 gkI (A)t k (k!)3/2 )2 dt = 2 ∫ ∞ 0 exp[−2β(A)t]   ∞∑ j,k=0 g k+j I (A)t k+j (j!k!)3/2  dt = ∞∑ j,k=0 2(k + j)!g j+k I (A) (2β(A))j+k+1(j! k!)3/2 , as claimed. If A is normal, then gI(A) = 0 and with 0 0 = 1 we have Ĵ(A) = 1 β(A) . The latter lemma and Theorem 2.1 imply Corollary 3.2. Let A,à ∈B(H) and let the conditions (1.1), (3.1) and qĴ(A) < 1 hold. Then cos τ(Ã,X) ≥ (1 −qĴ(A)) (1 + qĴ(A)) cos τ(A,X). 4. Integral operators As usually L2 = L2(0, 1) is the space of scalar-valued functions h defined on [0, 1] and equipped with the norm ‖h‖ = [∫ 1 0 |h(x)|2dx ]1/2 . Consider in L2(0, 1) the operator à defined by (Ãh)(x) = a(x)h(x) + ∫ 1 0 k(x,s)h(s)ds (h ∈ L2,x ∈ [0, 1]), (4.1) where a(x) is a real bounded measurable function with a0 := inf a(x) > 0, (4.2) and k(x,s) is a scalar kernel defined on 0 ≤ x,s ≤ 1, and∫ 1 0 ∫ 1 0 |k(x,s)|2ds dx < ∞. (4.3) on angular localization of spectra 203 So the Volterra operator V defined by (V h)(x) = ∫ 1 x k(x,s)h(s)ds (h ∈ L2,x ∈ [0, 1]), is a Hilbert-Schmidt one. Define operator A by (Ah)(x) = a(x)h(x) + ∫ 1 x k(x,s)h(s)ds (h ∈ L2,x ∈ [0, 1]). Then A = D + V, where D is defined by (Dh)(x) = a(x)h(x). Due to Lemma 7.1 and Corollary 3.5 from [3] we have σ(A) = σ(D). So σ(A) is real and β(A) = a0. Moreover, N2(AI) = N2(VI) ≤ N2(V ) = [∫ 1 0 ∫ 1 x |k(x,s)|2ds dx ]1/2 . Here VI = (V −V ∗)/2i. Thus, gI(A) ≤ gV := √ 2N2(V ) and ‖A− Ã‖≤ q0 := [∫ 1 0 ∫ x 0 |k(x,s)|2ds dx ]1/2 . Simple calculations show that under consideration Ĵ(A) ≤ Ĵ0 := ∞∑ j,k=0 g j+k V (k + j)! 2j+ka j+k+1 0 (j! k!) 3/2 . Making use of Corollary 3.2 and taking into account that in the considered case cos τ(A,X) = 1, we arrive at the following result. Corollary 4.1. Let à be defined by (4.1) and the conditions (4.2) and (4.3) hold. If, in addition, q0Ĵ0 < 1, then σ(Ã) lies in the angular sector{ z ∈ C : |arg z| ≤ arccos (1 −q0Ĵ0) (1 + q0Ĵ0) } . Example 4.2. To estimate the sharpness of our results consider in L2(0,1) the operators (Ah)(x) = 2h(x) and (Ãh)(x) = (2 + i)h(x) (h ∈ L2,x ∈ [0, 1]). 204 m.i. gil’ σ(A) consists of the unique point λ = 2 and so cos(A,X) = cos arg λ = 1. We have J(A) = 2 ∫ ∞ 0 e−4tdt = 1/2 and q = 1. By Corollary 3.2 cos τ(Ã,X) ≥ 1 − 1/2 1 + 1/2 = 1/3. Compare this inequality with the sharp result: σ(Ã) consists of the unique point λ̃ = 2 + i. So tan(arg λ̃) = 1/2, and therefore cos(arg λ̃) = 2/( √ 5). Acknowledgements I am very grateful to the referee of this paper for his (her) deep and helpful remarks. References [1] Yu.L. Daleckii, M.G. Krein, “Stability of Solutions of Differential Equa- tions in Banach Space”, Vol. 43, American Mathematical Society, Providence, R. I., 1974. [2] M.I. Gil’, “Operator Functions and Operator Equations”, World Scientific Publishing Co. Pte. Ltd., Hackensack, New Jersey, 2018. [3] M.I. Gil’, Norm estimates for resolvents of linear operators in a Banach space and spectral variations, Adv. Oper. Theory 4 (1) (2019), 113 – 139. [4] G.H. Hostetter, An improved test for the zeros of a polynomial in a sector, IEEE Trans. Automatic Control AC-20 (3) (1975), 433 – 434. [5] E.I. Jury, N.K. Bose, B.D.O. Anderson, A simple test for zeros of a complex polynomial in a sector, IEEE Trans. Automatic Control AC-19 (1974), 437 – 438. [6] E.I. Jury, N.K. Bose, B.D.O. Anderson, On eigenvalues of complex matrices in a sector, IEEE Trans. Automatic Control AC-20 (1975), 433 – 434. [7] M.G. Krein, The angular localization of the spectrum of a multiplicative integral in Hilbert space (in Russian) Funkcional. Anal. i Prilozhen 3 (1) (1969), 89 – 90. [8] G.V. Rozenblyum, Angular asymptotics of the spectrum of operators that are close to normal, J. Soviet Math. 45 (3) (1989), 1250 – 1261. Introduction and preliminaries The main result Operators with Hilbert-Schmidt Hermitian components Integral operators