Analytical solutions for multi-wave transfer matrices in layered structures

Similar documents
Comparison Study of Series Approximation. and Convergence between Chebyshev. and Legendre Series

Some properties of Boubaker polynomials and applications

PAijpam.eu ON TENSOR PRODUCT DECOMPOSITION

Generating Functions for Laguerre Type Polynomials. Group Theoretic method

Chimica Inorganica 3

62. Power series Definition 16. (Power series) Given a sequence {c n }, the series. c n x n = c 0 + c 1 x + c 2 x 2 + c 3 x 3 +

Chapter 10: Power Series

A GENERALIZATION OF THE SYMMETRY BETWEEN COMPLETE AND ELEMENTARY SYMMETRIC FUNCTIONS. Mircea Merca

Stochastic Matrices in a Finite Field

POWER SERIES SOLUTION OF FIRST ORDER MATRIX DIFFERENTIAL EQUATIONS

Number of Spanning Trees of Circulant Graphs C 6n and their Applications

Sequences of Definite Integrals, Factorials and Double Factorials

On the Determinants and Inverses of Skew Circulant and Skew Left Circulant Matrices with Fibonacci and Lucas Numbers

Random Matrices with Blocks of Intermediate Scale Strongly Correlated Band Matrices

The picture in figure 1.1 helps us to see that the area represents the distance traveled. Figure 1: Area represents distance travelled

Recurrence Relations

Numerical integration of analytic functions

We are mainly going to be concerned with power series in x, such as. (x)} converges - that is, lims N n

CALCULATION OF FIBONACCI VECTORS

COMPLEX FACTORIZATIONS OF THE GENERALIZED FIBONACCI SEQUENCES {q n } Sang Pyo Jun

ON SOLVING A FORMAL HYPERBOLIC PARTIAL DIFFERENTIAL EQUATION IN THE COMPLEX FIELD

PAijpam.eu ON DERIVATION OF RATIONAL SOLUTIONS OF BABBAGE S FUNCTIONAL EQUATION

THE TRANSFORMATION MATRIX OF CHEBYSHEV IV BERNSTEIN POLYNOMIAL BASES

On Generalized Fibonacci Numbers

Chapter 4. Fourier Series

DETERMINATION OF MECHANICAL PROPERTIES OF A NON- UNIFORM BEAM USING THE MEASUREMENT OF THE EXCITED LONGITUDINAL ELASTIC VIBRATIONS.

Research Article Powers of Complex Persymmetric Antitridiagonal Matrices with Constant Antidiagonals

SOME RELATIONS ON HERMITE MATRIX POLYNOMIALS. Levent Kargin and Veli Kurt

ON SOME DIOPHANTINE EQUATIONS RELATED TO SQUARE TRIANGULAR AND BALANCING NUMBERS

TRACES OF HADAMARD AND KRONECKER PRODUCTS OF MATRICES. 1. Introduction

Modified Decomposition Method by Adomian and. Rach for Solving Nonlinear Volterra Integro- Differential Equations

Stability Analysis of the Euler Discretization for SIR Epidemic Model

A Note on the Symmetric Powers of the Standard Representation of S n

Similarity Solutions to Unsteady Pseudoplastic. Flow Near a Moving Wall

A NEW CLASS OF 2-STEP RATIONAL MULTISTEP METHODS

1 Last time: similar and diagonalizable matrices

The Binet formula, sums and representations of generalized Fibonacci p-numbers

Linear recurrence sequences and periodicity of multidimensional continued fractions

CHAPTER I: Vector Spaces

The Random Walk For Dummies

Recursive Algorithms. Recurrences. Recursive Algorithms Analysis

Session 5. (1) Principal component analysis and Karhunen-Loève transformation

Orthogonal transformations

Formulas for the Number of Spanning Trees in a Maximal Planar Map

Some remarks for codes and lattices over imaginary quadratic

CHAPTER 5. Theory and Solution Using Matrix Techniques

Determinants of order 2 and 3 were defined in Chapter 2 by the formulae (5.1)

x x x Using a second Taylor polynomial with remainder, find the best constant C so that for x 0,

Sequences, Mathematical Induction, and Recursion. CSE 2353 Discrete Computational Structures Spring 2018

Apply change-of-basis formula to rewrite x as a linear combination of eigenvectors v j.

ANOTHER GENERALIZED FIBONACCI SEQUENCE 1. INTRODUCTION

Appendix: The Laplace Transform

(3) If you replace row i of A by its sum with a multiple of another row, then the determinant is unchanged! Expand across the i th row:

Eigenvalues and Eigenvectors

On the Inverse of a Certain Matrix Involving Binomial Coefficients

, then cv V. Differential Equations Elements of Lineaer Algebra Name: Consider the differential equation. and y2 cos( kx)

Numerical Conformal Mapping via a Fredholm Integral Equation using Fourier Method ABSTRACT INTRODUCTION

For a 3 3 diagonal matrix we find. Thus e 1 is a eigenvector corresponding to eigenvalue λ = a 11. Thus matrix A has eigenvalues 2 and 3.

-ORDER CONVERGENCE FOR FINDING SIMPLE ROOT OF A POLYNOMIAL EQUATION

Subject: Differential Equations & Mathematical Modeling -III. Lesson: Power series solutions of Differential Equations. about ordinary points

6 Integers Modulo n. integer k can be written as k = qn + r, with q,r, 0 r b. So any integer.

arxiv: v1 [math.co] 3 Feb 2013

Application of Jordan Canonical Form

THE ASYMPTOTIC COMPLEXITY OF MATRIX REDUCTION OVER FINITE FIELDS

Abstract. 1. Introduction This note is a supplement to part I ([4]). Let. F x (1.1) x n (1.2) Then the moments L x are the Catalan numbers

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a

AMS Mathematics Subject Classification : 40A05, 40A99, 42A10. Key words and phrases : Harmonic series, Fourier series. 1.

A note on the p-adic gamma function and q-changhee polynomials

In algebra one spends much time finding common denominators and thus simplifying rational expressions. For example:

Proof of Fermat s Last Theorem by Algebra Identities and Linear Algebra

l -State Solutions of a New Four-Parameter 1/r^2 Singular Radial Non-Conventional Potential via Asymptotic Iteration Method

Decoupling Zeros of Positive Discrete-Time Linear Systems*

An enumeration of flags in finite vector spaces

2 Geometric interpretation of complex numbers

METHOD OF FUNDAMENTAL SOLUTIONS FOR HELMHOLTZ EIGENVALUE PROBLEMS IN ELLIPTICAL DOMAINS

Symmetric Division Deg Energy of a Graph

Roger Apéry's proof that zeta(3) is irrational

Matrix representations of Fibonacci-like sequences

Applied Mathematics Letters. On the properties of Lucas numbers with binomial coefficients

MAT 271 Project: Partial Fractions for certain rational functions

Principle Of Superposition

1. Hydrogen Atom: 3p State

Some families of generating functions for the multiple orthogonal polynomials associated with modified Bessel K-functions

Generalization of Samuelson s inequality and location of eigenvalues

Signal Processing. Lecture 02: Discrete Time Signals and Systems. Ahmet Taha Koru, Ph. D. Yildiz Technical University.

Math 475, Problem Set #12: Answers

Average Number of Real Zeros of Random Fractional Polynomial-II

September 2012 C1 Note. C1 Notes (Edexcel) Copyright - For AS, A2 notes and IGCSE / GCSE worksheets 1

Derivative of a Determinant with Respect to an Eigenvalue in the LDU Decomposition of a Non-Symmetric Matrix

1 Generating functions for balls in boxes

ECE-S352 Introduction to Digital Signal Processing Lecture 3A Direct Solution of Difference Equations

1 Adiabatic and diabatic representations

ON THE LEHMER CONSTANT OF FINITE CYCLIC GROUPS

a for a 1 1 matrix. a b a b 2 2 matrix: We define det ad bc 3 3 matrix: We define a a a a a a a a a a a a a a a a a a

Discrete Orthogonal Moment Features Using Chebyshev Polynomials

Subject: Differential Equations & Mathematical Modeling-III

Numerical Simulation of Thermomechanical Problems in Applied Mechanics: Application to Solidification Problem

Diffusivity and Mobility Quantization. in Quantum Electrical Semi-Ballistic. Quasi-One-Dimensional Conductors

A solid Foundation for q-appell Polynomials

C. Complex Numbers. x 6x + 2 = 0. This equation was known to have three real roots, given by simple combinations of the expressions

Transcription:

Joural of Physics: Coferece Series PAPER OPEN ACCESS Aalytical solutios for multi-wave trasfer matrices i layered structures To cite this article: Yu N Belyayev 018 J Phys: Cof Ser 109 01008 View the article olie for updates ad ehacemets This cotet was dowloaded from IP address 14851383 o 19/01/019 at 15:50

IOP Publishig IOP Cof Series: Joural of Physics: Cof Series 134567890 109 (018) 01008 doi :101088/174-6596/109/1/01008 Aalytical solutios for multi-wave trasfer matrices i layered structures Yu N Belyayev Departmet of Mathematical Modellig ad Cyberetics, Syktyvkar State Uiversity, 55 Oktyabrskii pr, Syktyvkar, 167001, Russia E-mail: ybelyayev@mailru Abstract The matrix approach to the calculatio of -beam diffractio i a periodic structure is discussed The possibility of represetig N-layered trasfer matrix T N through the pricipal miors of the matrix T is ivestigated The method of computig iteger powers of a matrix by meas of symmetric polyomials of the latter is developed New aalytic formulas for iteger powers of matrices are represeted These solutios are demostrated usig examples of matrices of the sixth order 1 Itroductio The physical properties of may atural ad artificial objects are well described withi the framework of oe-dimesioal periodic models [1, ] Examples of such structures that have foud wide applicatio are optical thi films [3], liquid crystals [4], superlattices [5], photoic crystals [6] Matrix approaches have become oe of the mai oes i the calculatios of wave propagatios i such media The problem of calculatig the wave trasmissio through N- layered structure is reduced to fidig so-called trasfer matrix T (or characteristic matrix [7], or scatterig matrix [8], or propagator matrix [9]) of oe separate layer ad matrix T N for the whole structure I this regard, of great iterest are aalytical solutios for iteger powers of matrices The Baker-Vadermode formula [10] represets the solutio of this problem i terms of matrix eigevalues A remarkable result for uimodular secod-order matrices was obtaied by Abelés [11] i the study of iterferece optical films I his paper the elemets of the characteristic matrix M N have bee expressed through the trace of the matrix M usig the Chebyshev polyomials of the secod kid Similar formulas for the iteger powers of secod order matrices of geeral form ad certai matrices of the third ad fourth orders were foud i [1] I this paper, we preset ew aalytical solutios for iteger powers of th order matrices Their proofs are based o the properties of symmetric polyomials of th order [13] Polyomial approach to the calculatio of iteger powers of matrices Accordig to oe of the corollaries of the Cayley-Hamilto theorem [14], iteger power j of ay matrix A ca be expressed as a liear combiatio of the first powers A 0 I, A,, A 1 : 1 A j = C jh A h, j 0 (1) h=0 Cotet from this work may be used uder the terms of the Creative Commos Attributio 30 licece Ay further distributio of this work must maitai attributio to the author(s) ad the title of the work, joural citatio ad DOI Published uder licece by IOP Publishig Ltd 1

IOP Publishig IOP Cof Series: Joural of Physics: Cof Series 134567890 109 (018) 01008 doi :101088/174-6596/109/1/01008 We use the followig represetatio of the coordiates C jh [13]: C j h = h p h+g B j 1 g (), h = 0, 1,, 1, j = 0, 1,,, () g=0 where p m, m = 1,,, are coefficiets of characteristic equatio λ = i=1 p iλ i of matrix A = a gh ad fuctios B g () are defied by recurrece relatios B g () = 0, 0 g ; B 1 () = 1; B g () = p j B g j (), g (3) Two represetatios of the coefficiets p m, amely p 1 = g=1 λ g, p = l j λ lλ j,, p = ( 1) 1 j=1 λ j ad p 1 = g=1 a gg, p = a ii a ij j>i a ji a jj,, p = ( 1) 1 det A give respectively two iterpretatio of the fuctios B g (): symmetric polyomials of th order [13] (symmetric with respect to the eigevalues λ j, j = 1,, ) ad polyomials of pricipal miors of the matrix A 1 Expressio of A N i terms of symmetric polyomials T h e o r e m 1 Symmetric polyomials of th order are expressed i terms of the eigevalues λ i, i = 1,,, of the matrix by the formulas 1 λ 1 λ1 λ1 1 1 λ 1 λ 1 λ g 1 B g () = g, = 1 λ λ 1 λ λ λ 1 λ 1 j=1 1 λ λ, g = 1 λ λ λ g λ g, (4) where g is ay iteger, if all values λ i 0, ad g 0, if some eigevalue λ i = 0 P r o o f The properties of the determiats make it obvious that the formulas (4) correspod to the defiitio (3) of polyomials B g () for g = 0, 1,, 1 Suppose that the equality (4) holds for g = j + 1,, j 1, j, where j 1 We show that the it will also true (ie fuctios (4) satisfy the defiitio (3)) for g = j + 1 Ideed, accordig to characteristic equatio, λ j+1 = p 1 λ j + p λ j 1 + + p λ j +1 Therefore B j+1 () = 1 1 λ 1 λ 3 1 λ λ 3 1 λ λ 3 1 λ λ 1 p 1 λ j 1 + p λ j 1 1 + + p λ j +1 1 p 1 λ j + p λ j 1 + + p λ j +1 p 1 λ j + p λ j 1 + + p λ j +1 = 1 p h j+1 h = p h B j+1 h (), λ which agrees with the recurrece formulas (3) Note that substitutios of the expressios (4) ito the formulas () ad (1) lead to oe more proof of the Baker-Vadermode formula A more explicit form of symmetric polyomials B g () follows from (4) if we use the value of the Vadermode determiat = j>i (λ j λ i ) For example, suppose that the characteristic equatio of a sixth-order matrix has the form: λ 6 p λ 4 p 4 λ p 6 = 0 I this case, the eigevalues are pairwise equal to each other with a precisio up to the sig, say h=1 h=1

IOP Publishig IOP Cof Series: Joural of Physics: Cof Series 134567890 109 (018) 01008 doi :101088/174-6596/109/1/01008 λ 1 = λ 4, λ = λ 5, λ 3 = λ 6 These eigevalues are expressed i the radicals i terms of the coefficiets of the characteristic equatio I tur, the coefficiets of the characteristic equatio p, p 4, p 6 are expressed i terms of the eigevalues λ 1, λ, λ 3 by the formulas: p = λ 1 +λ +λ 3, p 4 = λ 1 λ + λ 1 λ 3 + λ λ 3, p 6 = λ 1 λ λ 3 I this case, the symmetric polyomials of sixth order are expressed through the matrix eigevalues as: B j (6) = 1 + ( 1)j 1 Λ j 1 Λ 4, Λ i = λ i 1(λ 3 λ ) λ i (λ 3 λ 1) + λ i 3(λ λ 1) (5) I accordace with (1) { A j p 6 B j (6)A + [p 4 B j (6) + p 6 B j 4 (6)]A 3 + B j (6)A 5, if j = 7, 9, 11,, = p 6 B j 1 (6)I + [p 4 B j 1 (6) + p 6 B j 3 (6)]A + B j+1 (6)A 4, if j = 6, 8, 10,, where the polyomials B g (6) are defied by formulas (5) ad I is idetity matrix Represetatio of iteger powers of a matrix by meas of the coefficiets of its characteristic equatio T h e o r e m If oly two of the coefficiets of the characteristic equatio p h ad p l, l = h, are ozero, the the polyomials B g () are expressed by the formulas: (6) B g () = { ( pl ) j 1 U j 1 (b), if g = h(j 1) + 1, 0, if g h(j 1) + 1, j = 1,,, (7) where U j (b) = si[(j + 1) arccos b] 1 b, b = p h p l (8) P r o o f It s obvious that h(j 1) + 1 1 Therefore, it follows from (7) that B g () = 0, if g, which agrees with (3) If g = 1, the, by formulas (7) ad (8), we fid B 1 () = U 0 (b) = 1 This also satisfies defiitio (3) Fially, if g, the, accordig to the defiitio (3) ad the coditio of the theorem, the fuctio (7) must be a solutio of equatio B g () = p h B g h () + p l B g l (), g (9) It s easy to check Let g h(j 1) + 1 The g h ad g h ot equal to h(j 1) + 1 I this case formulas (7) give values B g () = B g h () = B g l () = 0, which satisfy equatio (9) At last, if g = h(j 1) + 1, the substitutio of (7) ito (9) gives equality U j 1 (b) = bu j (b) U j 3 (b), (10) whose idetity is established by elemetary trasformatios usig the fuctios (8) Thus, the fuctios (7) are solutios of equatios (9), which was to be proved If 1 b 1, the fuctios U j (b) with idexes j 0 are orthogoal Chebyshev polyomials of the secod kid For istace for sixth order matrix A with p 1 = p = 0, p 3 0, p 4 = p 5 = 0, p 6 0, we fid from (1), () ad (7) A 6+i+3k = p 6 B 5+3k (6)A i + B 8+3k (6)A i+3, i = 0, 1,, k = 0, 1, (11) where B g (6) = (det A) g 5 6 si [((g ) arccos b)/3]/ 1 b, b = p 3 /( det A) for g = 5, 8, 11, ad B g (6) = 0 for g 5, 8, 11, 3

IOP Publishig IOP Cof Series: Joural of Physics: Cof Series 134567890 109 (018) 01008 doi :101088/174-6596/109/1/01008 E x a m p l e Trasfer matrix T of elastic waves i a crystallie layer of thickess d is expressed by the formula T = exp(w d), where sixth-order matrix W = w ij is determied [15] from the system of equatios of motio ad Hooke s law For may geometries of elastic waves scatterig by a cubic crystal, the symmetric polyomials B g (6) of the matrix W ad matrices W j satisfy relatios (5) ad (6) respectively For these cases, the aalytical solutio for the trasfer matrix has the form (W d) j T = exp(w d) = j! j=1 = 5 l=0 W l 3 g=1 { τ gl cosh(λg d), if l = 0,, 4, Λ 4 sih(λ g d), if l = 1, 3, 5, (1) where τ 10 = λ λ 3 (λ 3 λ ), τ 0 = λ 1 λ 3 (λ 1 λ 3 ), τ 30 = λ 1 λ (λ λ 1 ), τ g1 = τ g0 /λ g, τ 1 = λ 4 λ4 3, τ = λ 4 3 λ4 1, τ 3 = λ 4 1 λ4, τ g3 = τ g /λ g, τ 14 = λ 3 λ, τ 4 = λ 1 λ 3, τ 34 = λ λ 1, τ g5 = τ g4 /λ g I the case whe the matrix W has the form (11), a aalytic solutio for the elastic wave trasfer matrix ca be foud i a similar way For sufficietly small thickess d the series i=1 (W d)j /(j!) is well approximated by the sum of the first two or three terms, ie T = I + W d + W d / Such defiitio of the matrix T, if max w ij d 1, provides calculatio of matrix T elemets with a relative error of less tha 6(max w ij d ) 3 This allows us to cosider a homogeeous layer of thickess Nd as N-layered periodic structure ad calculate its trasfer matrix T N i accordace with the formulas (1), (), (3) It is easy to show that i this case the coefficiets p m ad the polyomials of pricipal miors up to terms of the secod order of smalless i max w ij d are expressed by the formulas p m = ( 1) m 1 6!(1 + mx)/[m!(6 m)!], m = 1,, 6; B g (6) = c g [1 + (g 5)x], g 5, where x = 6 i=1 w iid/6 ad the coefficiets c g are determied from the recurrece relatios: c g = 0, g 4; c 5 = 1; c g = 6 j=1 c g j6!/[j!(6 j)!], g 5 3 Coclusio As the examples of two- ad four-beam scatterig of electromagetic waves i layered media show, aalytical formulas for trasfer matrices facilitate a theoretical study of the features of the correspodig diffractio spectra Such formulas as (6), (11), (1) play o less importat role i the verificatio of umerical algorithms for calculatig matrices T N with large N, sice roud-off errors durig matrix calculatios deped strogly o the umber of matrix multiplicatios Refereces [1] Elachi C 1976 Waves i active ad passive periodic structures Proc IEEE 64 1666 1698 [] Karpov S Yu, Stolyarov S N 1993 Propagatio ad trasformatio of electromagetic waves i oedimesioal periodic structures Physics-Uspekhi 36 1 [3] Kittl Z 1975 Optics of thi films (Lodo: J Wiley) [4] Belyakov V A 199 Diffractio Optics of Complex-Structured Periodic Media (New York: Spriger) [5] Herma M 1986 Semicoductor Superlattices (Berli: Akademie) [6] Sakoda K 001 Optical Properties of Photoic Crystals (Berli: Spriger) [7] Bor M, Wolf E 1964 Priciples of optics (Oxford: Pergamo press) [8] Cowley J M 1975 Diffractio Physics (New York: N-HPubl Comp) [9] Brekhovskikh L M, Godi O A 1990 Acoustics of layered media (Berli: Spriger-Verlag) [10] Baker H F 1903 O the itegratio of liear differetial equatio Proc Lodo Math Soc 35 333 378 [11] Abelés F 1950 Recherehes sur la propagatio des odes electromagetiques siusoidals das les milieux stratifiés Applicatio aux coches mices A Phys 5 596 640 706 78 [1] Belyayev Yu N 015 Characteristic matrices of layered periodic structures Proc It Cof Days o Diffractio 015 May 5 9 St Petersburg Russia 4 48 [13] Belyayev Yu N 013 O the calculatio of fuctios of matrices Mathematical Notes 94 177 184 [14] Gatmacher F R 1959 The Theory of Matrices vol 1 (New York: Chelsea) [15] Belyayev Yu N 018 Calculatio of the six-beam diffractio i layered media usig polyomials of pricipal miors Joural of theoretical ad computatioal acoustics 6 1850017-1 1850017-1 4