On eigenvalue surfaces near a diabolic point



Similar documents
3. Let A and B be two n n orthogonal matrices. Then prove that AB and BA are both orthogonal matrices. Prove a similar result for unitary matrices.

Linear algebra and the geometry of quadratic equations. Similarity transformations and orthogonal matrices

State of Stress at Point

Chapter 7. Lyapunov Exponents. 7.1 Maps

Plate waves in phononic crystals slabs

The Characteristic Polynomial

Algebra 2 Year-at-a-Glance Leander ISD st Six Weeks 2nd Six Weeks 3rd Six Weeks 4th Six Weeks 5th Six Weeks 6th Six Weeks

Algebra 2 Chapter 1 Vocabulary. identity - A statement that equates two equivalent expressions.

South Carolina College- and Career-Ready (SCCCR) Pre-Calculus

The Role of Electric Polarization in Nonlinear optics

December 4, 2013 MATH 171 BASIC LINEAR ALGEBRA B. KITCHENS

11.1. Objectives. Component Form of a Vector. Component Form of a Vector. Component Form of a Vector. Vectors and the Geometry of Space

13 MATH FACTS a = The elements of a vector have a graphical interpretation, which is particularly easy to see in two or three dimensions.

Inner Product Spaces and Orthogonality

Two vectors are equal if they have the same length and direction. They do not

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Solving Simultaneous Equations and Matrices

Similarity and Diagonalization. Similar Matrices

Introduction to Matrix Algebra

Elasticity Theory Basics

Section 1.1. Introduction to R n

APPLICATIONS. are symmetric, but. are not.

University of Lille I PC first year list of exercises n 7. Review

The Singular Value Decomposition in Symmetric (Löwdin) Orthogonalization and Data Compression

Common Core Unit Summary Grades 6 to 8

42 CHAPTER 1. VECTORS AND THE GEOMETRY OF SPACE. Figure 1.18: Parabola y = 2x Brief review of Conic Sections

Algebra 1 Course Title

Dimensionality Reduction: Principal Components Analysis

CHAPTER FIVE. 5. Equations of Lines in R 3

3 Orthogonal Vectors and Matrices

Eigenvalues and Eigenvectors

x1 x 2 x 3 y 1 y 2 y 3 x 1 y 2 x 2 y 1 0.

Chapter 19. General Matrices. An n m matrix is an array. a 11 a 12 a 1m a 21 a 22 a 2m A = a n1 a n2 a nm. The matrix A has n row vectors

CORRELATED TO THE SOUTH CAROLINA COLLEGE AND CAREER-READY FOUNDATIONS IN ALGEBRA

3.2 Sources, Sinks, Saddles, and Spirals

Recall the basic property of the transpose (for any A): v A t Aw = v w, v, w R n.

Numerical Analysis Lecture Notes

Mathematics Course 111: Algebra I Part IV: Vector Spaces

The Matrix Elements of a 3 3 Orthogonal Matrix Revisited

[1] Diagonal factorization

Recall that two vectors in are perpendicular or orthogonal provided that their dot

The Quantum Harmonic Oscillator Stephen Webb

NOV /II. 1. Let f(z) = sin z, z C. Then f(z) : 3. Let the sequence {a n } be given. (A) is bounded in the complex plane

Mathematics INDIVIDUAL PROGRAM INFORMATION Macomb1 ( )

is in plane V. However, it may be more convenient to introduce a plane coordinate system in V.

We can display an object on a monitor screen in three different computer-model forms: Wireframe model Surface Model Solid model

Sound. References: L.D. Landau & E.M. Lifshitz: Fluid Mechanics, Chapter VIII F. Shu: The Physics of Astrophysics, Vol. 2, Gas Dynamics, Chapter 8

Mathematics (MAT) MAT 061 Basic Euclidean Geometry 3 Hours. MAT 051 Pre-Algebra 4 Hours

Content. Chapter 4 Functions Basic concepts on real functions 62. Credits 11

Linear Algebra Notes for Marsden and Tromba Vector Calculus

Understanding Poles and Zeros

Notes for AA214, Chapter 7. T. H. Pulliam Stanford University

BIFURCATION PHENOMENA IN THE 1:1 RESONANT HORN FOR THE FORCED VAN DER POL - DUFFING EQUATION

Data Mining: Algorithms and Applications Matrix Math Review

Notes on the representational possibilities of projective quadrics in four dimensions

Chapter 6. Orthogonality

Physics 9e/Cutnell. correlated to the. College Board AP Physics 1 Course Objectives

FIELDS-MITACS Conference. on the Mathematics of Medical Imaging. Photoacoustic and Thermoacoustic Tomography with a variable sound speed

1 Determinants and the Solvability of Linear Systems

INTEGRAL METHODS IN LOW-FREQUENCY ELECTROMAGNETICS

MATH APPLIED MATRIX THEORY

Algebra Unpacked Content For the new Common Core standards that will be effective in all North Carolina schools in the school year.

Vector and Matrix Norms

MATH 21. College Algebra 1 Lecture Notes

Math Review. for the Quantitative Reasoning Measure of the GRE revised General Test

DOING PHYSICS WITH MATLAB COMPUTATIONAL OPTICS RAYLEIGH-SOMMERFELD DIFFRACTION INTEGRAL OF THE FIRST KIND

CONTROLLABILITY. Chapter Reachable Set and Controllability. Suppose we have a linear system described by the state equation

THREE DIMENSIONAL GEOMETRY

Math 312 Homework 1 Solutions

Eigenvalues, Eigenvectors, Matrix Factoring, and Principal Components

Determine whether the following lines intersect, are parallel, or skew. L 1 : x = 6t y = 1 + 9t z = 3t. x = 1 + 2s y = 4 3s z = s

Thnkwell s Homeschool Precalculus Course Lesson Plan: 36 weeks

Edmund Li. Where is defined as the mutual inductance between and and has the SI units of Henries (H).

Estimated Pre Calculus Pacing Timeline

Eðlisfræði 2, vor 2007

Continuous Groups, Lie Groups, and Lie Algebras

LINEAR ALGEBRA. September 23, 2010

October 3rd, Linear Algebra & Properties of the Covariance Matrix

DEFINITION A complex number is a matrix of the form. x y. , y x

Linear Algebra Review. Vectors

Administrative - Master Syllabus COVER SHEET

Inner products on R n, and more

2.2 Creaseness operator

Viscous flow through pipes of various cross-sections

Mechanics lecture 7 Moment of a force, torque, equilibrium of a body

MATH. ALGEBRA I HONORS 9 th Grade ALGEBRA I HONORS

Advanced CFD Methods 1

Accuracy of the coherent potential approximation for a onedimensional array with a Gaussian distribution of fluctuations in the on-site potential

2010 Solutions. a + b. a + b 1. (a + b)2 + (b a) 2. (b2 + a 2 ) 2 (a 2 b 2 ) 2

Continued Fractions and the Euclidean Algorithm

Nonlinear Iterative Partial Least Squares Method

ASEN Structures. MDOF Dynamic Systems. ASEN 3112 Lecture 1 Slide 1

WAVES AND FIELDS IN INHOMOGENEOUS MEDIA

Sound Power Measurement

Chapter 17. Orthogonal Matrices and Symmetries of Space

Elements of Abstract Group Theory

MATRIX ALGEBRA AND SYSTEMS OF EQUATIONS

The cover SU(2) SO(3) and related topics

Lecture 5: Singular Value Decomposition SVD (1)

Transcription:

319 On eigenvalue surfaces near a diabolic point O. N. Kirillov, A. A. Mailybaev, and A. P. Seyranian Abstract The paper presents a theory of unfolding of eigenvalue surfaces of real symmetric and Hermitian matrices due to an arbitrary complex perturbation near a diabolic point. General asymptotic formulae describing deformations of a conical surface for different kinds of perturbing matrices are derived. As a physical application, singularities of the surfaces of refractive indices in crystal optics are studied. I. INTRODUCTION Since the papers [1] and [] it is known that the energy surfaces in quantum physics may cross forming two sheets of a double cone: a diabolo. The apex of the cone is called a diabolic point, see [3]. This kind of crossing is typical for systems described by real symmetric Hamiltonians with at least two parameters and Hermitian Hamiltonians depending on three or more parameters. From mathematical point of view the energy surfaces are described by eigenvalues of real symmetric or Hermitian operators dependent on parameters, and the diabolic point is a point of a double eigenvalue with two linearly independent eigenvectors. In modern problems of quantum physics, crystal optics, physical chemistry, acoustics and mechanics it is important to know how the diabolic point bifurcates under arbitrary complex perturbations forming singularities of eigenvalue surfaces like a double coffee filter with two exceptional points or a diabolic circle of exceptional points, see e.g. [4] [8]. In the present paper following the theory developed in our paper [9] we study effects of complex perturbations in multiparameter families of real symmetric and Hermitian matrices. In case of real symmetric matrices we study unfolding of eigenvalue surfaces near a diabolic point under complex perturbations. Origination of a singularity double coffee filter is analytically described. Unfolding of a diabolic point of a Hermitian matrix under an arbitrary complex perturbation is analytically treated. We emphasize that the unfolding of eigenvalue surfaces is described qualitatively as well as quantitatively by using only the information at the diabolic point, including eigenvalues, eigenvectors, and derivatives of the system matrix taken at the diabolic point. As a physical application, singularities of the surfaces of refractive indices in crystal optics are studied. The work is supported by the research grants RFBR 03-01-00161, CRDF- BRHE Y1-M-06-03, and CRDF-BRHE Y1-MP-06-19. O. N. Kirillov, A. A. Mailybaev, and A. P. Seyranian are with Institute of Mechanics, Moscow State Lomonosov University, Michurinskii pr. 1, 11919, Moscow, Russia; kirillov@imec.msu.ru, mailybaev@imec.msu.ru, seyran@imec.msu.ru II. ASYMPTOTIC EXPRESSIONS FOR EIGENVALUES NEAR A DIABOLIC POINT Let us consider the eigenvalue problem Au λu (1) for an m m Hermitian matrix A, where λ is an eigenvalue and u is an eigenvector. Such eigenvalue problems arise in non-dissipative physics with and without time reversal symmetry. Real symmetric and complex Hermitian matrices correspond to these two cases, respectively. We assume that the matrix A smoothly depends on a vector of n real parameters p (p 1,...,p n ). Let λ 0 be a double eigenvalue of the matrix A 0 A(p 0 ) for some vector p 0. Since A 0 is a Hermitian matrix, the eigenvalue λ 0 is real and possesses two eigenvectors u 1 and u. Thus, the point of eigenvalue coupling for Hermitian matrices is diabolic. We choose the eigenvectors satisfying the normalization conditions (u 1, u 1 )(u, u )1, (u 1, u )0, () where the standard inner product of complex vectors is given by (u, v) m i1 u iv i. Under perturbation of parameters p p 0 +Δp, the bifurcation of λ 0 into two simple eigenvalues λ + and λ occurs. The asymptotic formula for λ ± under multiparameter perturbation is [9] λ ± λ 0 + f 11 + f, Δp ± f11 f, Δp ± + f 1, Δp f 1, Δp. (3) 4 Components of the vector f ij (fij 1,...,fn ij ) are ( ) A fij k u i, u j, (4) p k where the derivative is taken at p 0, and inner products of vectors in (3) are given by a, b n i1 a ib i. In expression (3) the higher order terms o( Δp ) and o( Δp ) are neglected before and under the square root. Since the matrix A is Hermitian, the vectors f 11 and f are real and the vectors f 1 f 1 are complex conjugate. In case of real symmetric matrices A A T, the vectors f 11, f, and f 1 f 1 are real. The asymptotic expression for the eigenvectors corresponding to λ ± takes the form [9] α ± β ± u ± α ± u 1 + β ± u, f 1, Δp λ ± λ 0 f 11, Δp λ ± λ 0 f, Δp. (5) f 1, Δp 0-7803-935-3/05/$0.00 005 IEEE PhysCon 005, St. Petersburg, Russia

30 Expressions (5) provide zero order terms for the eigenvectors u ± under perturbation of the parameter vector. Now, consider an arbitrary complex perturbation of the matrix family A(p)+ΔA(p). Such perturbations appear due to non-conservative effects breaking symmetry of the initial system. We assume that the size of perturbation ΔA(p) is small, where ΔA(p 0 ) is the Frobenius norm of the perturbation at the diabolic point. Behavior of the eigenvalues λ ± for small Δp and small is described by the following asymptotic formula [9] ( λ ± λ 0 f 11 + f, Δp ) 11 + ( f 11 f, Δp + 11 ) + 4 +( f 1, Δp + 1 )( f 1, Δp + 1 ). (6) The quantities ij are small complex numbers of order given by the expression ij (ΔA(p 0 )u i, u j ). (7) A small variation of the matrix family leads to the following correction of the asymptotic expression for the eigenvectors: u ± α ±u 1 + β ±u, where α± β± f 1, Δp + 1 λ ± λ 0 f 11, Δp 11 λ ± λ 0 f, Δp. (8) f 1, Δp + 1 The ratios α+/β + α /β at the point of coincident eigenvalues λ + λ. Hence, the eigenvectors u + u coincide, and the point of eigenvalue coupling of the perturbed system becomes exceptional. III. UNFOLDING OF A DIABOLIC SINGULARITY FOR REAL SYMMETRIC MATRICES Let us assume that A(p) is an n-parameter family of real symmetric matrices. Then its eigenvalues λ are real. Let λ 0 be a double eigenvalue of the matrix A 0 A(p 0 ) with two real eigenvectors u 1 and u. Under perturbation of parameters p p 0 +Δp, the eigenvalue λ 0 splits into two simple eigenvalues λ + and λ. The asymptotic formula for λ ± under multiparameter perturbation is given by equations (3) and (4), where the vectors f 11, f, and f 1 f 1 are real. Then, equation (3) takes the form ( λ ± λ 0 f ) 11 + f, Δp f 11 f, Δp 4 f 1, Δp. (9) Equation (9) describes a surface in the space (p 1,p,...,p n,λ), which consists of two sheets λ + (p) and λ (p). For the two-parameter matrix A(p 1,p ) equation (9) defines a double cone with apex at the point (p 0,λ 0 ) in the space (p 1,p,λ). The point (p 0,λ 0 ) is referred to as a diabolic point [3] due to the conical shape of the children s toy diabolo. The double eigenvalue is a phenomenon of codimension in an n-parameter family of real symmetric matrices [1]. Let us consider a perturbation A(p) +ΔA(p) of the real symmetric family A(p) in the vicinity of the diabolic point p 0, where ΔA(p) is a complex matrix with the small norm ΔA(p 0 ). Splitting of the double eigenvalue λ 0 due to a change of the vector of parameters Δp and a small complex perturbation ΔA is described by equation (6), which acquires the form λ ± λ 0 + μ ± c, c (x + ξ) +(y + η) ζ. (10) In equation (10) the quantities λ 0, x, and y are real: λ 0 λ 0 + 1 f 11 + f, Δp, x 1 f 11 f, Δp, y f 1, Δp, (11) while the small coefficients μ, ξ, η, and ζ are complex: μ 1 ( 11 + ), ξ 1 ( 11 ), η 1 ( 1 + 1 ), ζ 1 ( 1 1 ). (1) From equations (10) and (11) we get the expressions determining the real and imaginary parts of the perturbed eigenvalues ( ) Reλ ± λ 0 +Reμ ± Rec + Re c +Im c /, (13) ( ) Imλ ± Imμ ± Rec + Re c +Im c /. (14) Strictly speaking, for the same eigenvalue one should take equal or opposite signs before the square roots in (13), (14) for positive or negative Imc, respectively. Equations (13) and (14) define surfaces in the spaces (p 1,p,...,p n, Reλ) and (p 1,p,...,p n, Imλ). Two sheets of the surface (13) are connected (Reλ + Reλ )atthe points satisfying the conditions Rec 0, Imc 0, Reλ ± λ 0 +Reμ, (15) while the sheets Imλ + (p) and Imλ (p) are glued at the set of points satisfying Rec 0, Imc 0, Imλ ± Imμ. (16) The eigenvalue remains double under the perturbation of parameters when c 0, which yields two equations Rec 0 and Imc 0. Two cases are distinguished according to the sign of the quantity D Im ξ+im η Im ζ. (17) If D>0, then the equations Rec 0and Imc 0yield two solutions (x a,y a ) and (x b,y b ), where x a,b Reξ + ImξReζImζ Im ξ+im η ±

31 Fig. 1. Unfolding of a diabolic point due to complex perturbation. ± Imη (Im ξ+im η+re ζ)(im ξ+im η Im ζ) Im ξ+im, (18) η Imξ y a,b Reη + ImηReζImζ Im ξ+im η (Im ξ+im η+re ζ)(im ξ+im η Im ζ) Im ξ+im. (19) η These two solutions determine the points in parameter space, where double eigenvalues appear. When D 0, the two solutions coincide. For D < 0, the equations Rec 0 and Imc 0have no real solutions. In the latter case, the eigenvalues λ + and λ separate for all Δp. Note that the quantities Imξ and Imη are expressed by means of the anti-hermitian part ΔA N (ΔA ΔA T )/ of the matrix ΔA as Imξ (ΔA N (p 0 )u 1, u 1 ) (ΔA N (p 0 )u, u ), i Imη (ΔA (0) N (p 0 )u 1, u )+(ΔA N (p 0 )u, u 1 ), i while Imζ depends on the Hermitian part ΔA H (ΔA + ΔA T )/ as Imζ (ΔA H(p 0 )u 1, u ) (ΔA H (p 0 )u, u 1 ). (1) i If D > 0, one can say that the influence of the anti- Hermitian part of the perturbation ΔA is stronger than that of the Hermitian part. If the Hermitian part prevails in the perturbation ΔA, we have D < 0. In particular, D Im ζ<0 for a purely Hermitian perturbation ΔA. Let us assume that the vector p consists of only two components p 1 and p, and consider the surfaces (13) and (14) for different kinds of the perturbation ΔA(p). Consider first the case D<0. Then, the eigensheets Reλ + (p) and Reλ (p) are separate, see Figure 1a. Equation Imc 0 defines a line in parameter plane. The sheets Imλ + (p) and Imλ (p) of the eigensurface (14) intersect along the line Imc/ (x+reξ)imξ +(y+reη)imη ReζImζ 0, Imλ ± Imμ, () given by conditions (16). In the case D>0 the line Imc 0and the ellipse defined by the quation Rec 0have common points p a and p b where the eigenvalues couple. Coordinates of these points can be found from the equations (11), where x x a,b and y y a,b are defined by expressions (18) and (19). Here we have assumed that the vectors f 11 f and f 1 are linearly independent. Note that the points p a and p b coincide in the degenerate case D 0. According to conditions (15) the real eigensheets Reλ + (p) and Reλ (p) are glued in the interval [p a, p b ] of the line Imc/ (x+reξ)imξ +(y+reη)imη ReζImζ 0, Reλ ± λ 0 +Reμ. (3) The surface of real eigenvalues (13) is called a double coffee filter [6]. The unfolding of a diabolic point into the double coffee filter is shown in Figure 1b. Note that in crystal optics and acoustics the interval [p a, p b ] is referred to as a branch cut, and the points p a, p b are called singular axes, see [5], [7]. According to equation (8) the double eigenvalues at

3 Fig.. Unfolding of a diabolic point into an exceptional ring in parameter space. p a and p b possess only one eigenvector and, hence, they are exceptional points. IV. UNFOLDING OF A DIABOLIC SINGULARITY FOR HERMITIAN MATRICES Let us consider a multi-parameter Hermitian matrix A(p). Assume that p 0 is a diabolic point, where the matrix A 0 A(p 0 ) has a double real eigenvalue λ 0 with two eigenvectors. The splitting of λ 0 into a pair of simple real eigenvalues λ + and λ is described by expressions (3), (4), where the vectors f 11 and f are real and the vectors f 1 f 1 are complex conjugate. By using expression (3), we find λ ± λ 0 ± x + y + z, (4) where λ 0, x, y, and z are real quantities depending linearly on the perturbation of parameters Δp as follows λ 0 λ 0 + f 11 + f, Δp, x f 11 f, Δp, y Re f 1, Δp, z Im f 1, Δp. (5) The eigenvalues coincide if x y z 0. The equations x y z 0 with relations (5) provide a plane in parameter space tangent to the set of diabolic points. This plane has dimension n 3, which agrees with the well-known fact that the diabolic point is a codimension 3 phenomenon for Hermitian systems [1]. Now let us consider a general non-hermitian perturbation of the system A(p) +ΔA(p), assuming that the size of perturbation at the diabolic point ΔA(p 0 ) is small. The two eigenvalues λ + and λ, which become complex due to non-hermitian perturbation, are given by asymptotic expressions (6), (7). With the use of the new coordinates (5), we write the expression (6) as where λ ± λ 0 + μ ± c, (6) c (x + ξ) +(y + η) +(z iζ), (7) and μ, ξ, η, ζ are small complex quantities of order given by expressions (1). The eigenvalues couple (λ + λ ) if c 0. This yields two equations Rec 0 and Imc 0. The first equation defines a sphere in (x, y, z) space with the center at ( Re ξ, Re η, Im ζ) and the radius Im ξ +Im η +Re ζ, which are small of order. The second equation yields a plane passing through the center of the sphere. The sphere and the plane intersect along a circle. Points of this circle determine values of parameters, for which the eigenvalues λ ± coincide. Since c 0at the coupling point, expression (8) for the eigenvectors takes the form u ± α ±u 1 + β ±u, α± β± y + iz + η + ζ x ξ x + ξ y iz + η ζ. (8) Thus, all points of the circle are exceptional points, where the two eigenvectors u and u + merge in addition to the coupling of the eigenvalues λ + and λ. By using the linear expressions (5), the set of exceptional points is found in the original parameter space p. The exceptional circle in (x, y, z) space is transformed into an exceptional elliptic ring in three-parameter space p, see Figure. Let us consider the plane Imc 0, at which the quantity c is real. By formula (6), the real parts of the eigenvalues λ ± coincide inside the exceptional ring, where c<0, and the imaginary parts of λ ± coincide outside the exceptional ring, where c>0, see the dark and light shaded areas in Figure. V. UNFOLDING OF OPTICAL SINGULARITIES OF BIREFRINGENT CRYSTALS Optical properties of a non-magnetic dichroic chiral anisotropic crystal are characterized by the inverse dielectric tensor η, which relates the vectors of electric field E and the displacement D as [10] E ηd. (9) A monochromatic plane wave of frequency ω that propagates in a direction specified by a real unit vector s (s 1,s,s 3 ) has the form ( ) n(s) D(r,t) D(s) exp iω c st r t, (30) where n(s) is a refractive index, and r is the real vector of spatial coordinates. With the wave (30) and the constitutive relation (9) Maxwell s equations after some elementary manipulations yield ηd(s) ss T ηd(s) 1 n D(s). (31) (s) Multiplying equation (31) by the vector s T from the left, we find that for plane waves the vector D is always orthogonal to the direction s, i.e., s T D(s) 0. By using this condition, we write (31) in the form of the eigenvalue problem [ (I ss T )η(i ss T ) ] u λu, (3) where λ n, u D, and I is the identity matrix. Since I ss T is a singular matrix, one of the eigenvalues is always zero. Let us denote the other two eigenvalues by λ + and λ. These eigenvalues determine refractive indices n, and the corresponding eigenvectors yield polarizations.

33 The inverse dielectric tensor is described by a complex non-hermitian matrix η η transp +η dichroic +η chiral. The symmetric part of η consisting of the real matrix η transp and imaginary matrix η dichroic constitute the anisotropy tensor, which describes the birefringence of the crystal. For a transparent crystal, the anisotropy tensor is real and is represented only by the matrix η transp ; for a crystal with linear dichroism it is complex. Choosing coordinate axes along the principal axes of η transp,wehave η transp η 1 0 0 0 η 0. (33) 0 0 η 3 The matrix η dichroic i η11 d η1 d η13 d η1 d η d η3 d η13 d η3 d η33 d (34) describes linear dichroism (absorption). The matrix η chiral gives the antisymmetric part of η describing chirality (optical activity) of the crystal. It is determined by the optical activity vector g (g 1,g,g 3 ) depending linearly on s as η chiral i g γs 0 g 3 g g 3 0 g 1 g g 1 0 γ 11 γ 1 γ 13 γ 1 γ γ 3 γ 13 γ 3 γ 33, s 1 s s 3, (35) where γ is a symmetric optical activity tensor; this tensor has an imaginary part for a material with circular dichroism, see [7] for more details. First, consider a transparent non-chiral crystal, when η dichroic 0and γ 0. Then the matrix A(p) (I ss T )η transp (I ss T ) (36) is real symmetric and depends on a vector of two parameters p (s 1,s ). The third component of the direction vector s is found as s 3 ± 1 s 1 s, where the cases of two different signs should be considered separately. Below we assume that three dielectric constants η 1 > η > η 3 are different. This corresponds to biaxial anisotropic crystals. The nonzero eigenvalues λ ± of the matrix A(p) are found explicitly in the form [11] λ ± trace A ± 1 trace (A ) (trace A). (37) The eigenvalues λ ± are the same for opposite directions s and s. By using (33) and (36) in (37), it is straightforward to show that two eigenvalues λ + and λ couple at s 0 (S 1, 0,S 3 ), λ 0 η ; S 1 ± (η 1 η )/(η 1 η 3 ), S 3 ± 1 S1, (38) which determine four diabolic points (for two signs of S 1 and S 3 ), also called optic axes [7]. The double eigenvalue Fig. 3. Diabolic singularities near optic axes and their local approximations. λ 0 η of the matrix A 0 A(p 0 ), p 0 (S 1, 0) possesses two eigenvectors 0 u 1 1 0, u S 3 0 S 1, (39) satisfying normalization conditions (). Using expressions (36) and (39), we evaluate the vectors f ij with components (4) for optic axes. Substituting them in (9), we obtain the local asymptotic expression for the cone singularities in the space (s 1,s,λ) as (λ η (η 3 η 1 )S 1 (s 1 S 1 )) (η 3 η 1 ) S 1((s 1 S 1 ) + S 3s ). (40) Equation (40) is valid for each of the four optic axes (38). Now let us assume that the crystal possesses absorption and chirality. Then the matrix family (36) takes a complex perturbation A(p)+ΔA(p), where ΔA(p) (I ss T )(η dichroic + η chiral )(I ss T ). (41) Assume that the absorption and chirality are weak, i.e., η dichroic + η chiral is small. Then we can use asymptotic formulae of Sections and 3 to describe unfolding of diabolic singularities of the eigenvalue surfaces. For this purpose, we need to know only the value of the perturbation ΔA at the optic axes of the transparent non-chiral crystal s 0. Substituting matrix (41) evaluated at optic axes (38) into expression (7), and then using formulae (1), we obtain μ i(η d + η d 11S 3 η d 13S 1 S 3 + η d 33S 1)/, ξ i(η d η d 11S 3 +η d 13S 1 S 3 η d 33S 1)/, η i(η d 1S 3 η d 3S 1 ), ζ i ( γ 11 S 1 +γ 13 S 1 S 3 + γ 33 S 3). (4) We see that μ, ξ, and η are purely imaginary numbers depending only on dichroic properties of the crystal (absorption). The quantity ζ depends only on chiral properties of the

34 Fig. 4. Unfolding of singularities near optic axes. crystal; ζ is purely imaginary if the optical activity tensor γ is real. Singularities for crystals with weak dichroism and chirality were studied recently in [7]. It was shown that the double coffee filter singularity arises in absorption-dominated crystals, and the sheets of real parts of eigenvalues are separated in chirality-dominated crystals. According to the results of Section 3, these two cases are explicitly determined by the conditions D>0 and D<0, respectively, where D Im ξ +Im η Im ζ. As a numerical example, let us consider a crystal possessing weak absorption and chirality described by the tensors (34), (35) with η dichroic i 3 0 3 1, 00 γ 1 3 1 1 3 1 00 1 3 0 1 3. (43) A corresponding transparent non-chiral crystal is characterized by η 1 0.5, η 0.4, η 3 0.1, and its eigenvalue surfaces with two optic axes are presented in Figure 3 together with the conical surfaces (40). The two optic axes shown in Figure 3 are s 0 (±1/, 0, 3/) with the double eigenvalue λ 0 /5. By using (43) in (4), we find that the condition D 7 160000 (4 3 5) > 0 is satisfied for the left optic axis s 0 ( 1/, 0, 3/). Hence, the diabolic singularity bifurcates into a double coffee filter with two exceptional points. Local approximations of the eigenvalue surfaces are given by expressions (13), (14). Figure 4 shows these local approximations compared with the exact eigenvalue surfaces given by (37). For the right optic axis s 0 (1/, 0, 3/), the condition D 7 160000 (4 3+5) < 0 is satisfied. Hence, the eigenvalue sheets (for real parts) separate under the bifurcation of the right diabolic singularity. Approximate and exact eigenvalue surfaces are shown in Figure 4. We observe that the unfolding types are different for different optic axes. As it is seen from Figure 4, the asymptotic formulae provide an accurate description for unfolding of eigenvalue surfaces near diabolic points. VI. CONCLUSION Non-Hermitian Hamiltonians and matrices usually appear in physics when dissipative and other non-conservative effects are taken into account. As it is stated in [8], Hermitian physics differs radically from non-hermitian physics in case of coalescence (coupling) of eigenvalues. In the present paper we gave analytical description for unfolding of eigenvalue surfaces due to an arbitrary complex perturbation with the singularities known in the literature as a double coffeefilter and a diabolic circle. The developed theory requires only eigenvectors and derivatives of the matrices taken at the singular point, while the size of the matrix and its dependence on parameters are arbitrary. The given physical example from crystal optics demonstrates applicability and accuracy of the theory. REFERENCES [1] Von Neumann J. and Wigner E.P. Z. für Physik. 30. pp. 467 470. 199. [] Teller E. J. Phys. Chem. 41(1). pp. 109 116. 1937. [3] Berry M.V., Wilkinson M. Proc. R. Soc. Lond. A. 39. pp. 15 43. 1984. [4] Mondragon A., Hernandez E. J. Phys. A. Math. Gen. 6. pp. 5595 5611. 1993. [5] Shuvalov A.L. and Scott N.H. Acta Mechanica. 140. pp. 1 15. 000. [6] Keck F., Korsch H.J., Mossmann S. J. Phys. A: Math. Gen. 36. pp. 15 137. 003.

[7] Berry M.V. and Dennis M.R. Proc. R. Soc. Lond. A. 459. pp. 161 19. 003. [8] Berry M.V. Czech. J. Phys. 54. 004. 1039 1047. [9] Seyranian A.P., Kirillov O.N., Mailybaev A.A. Coupling of eigenvalues of complex matrices at diabolic and exceptional points. J. of Phys. A: Math. Gen. 38(8). pp. 173 1740. 005. [10] Landau L.D., Lifshitz E.M., Pitaevskii L.P. Electrodynamics of continuous media. Oxford: Pergamon, 1984. [11] Lewin M. Discrete Mathematics. 15(1 3). pp. 55 6. 1994. 35