The Block Diagonalization of Circulant Matrices over the Quaternion Field

Size: px
Start display at page:

Download "The Block Diagonalization of Circulant Matrices over the Quaternion Field"

Transcription

1 International Mathematical Forum, 5, 010, no. 5, The Block Diagonalization of Circulant Matrices over the Quaternion Field Jiyong Lu 1, Junqing Wang and Yumin Feng Department of Mathematics Tianjin Polytechnic University Tianjin , P.R. China Abstract. This paper has studied some properties of circulant matrices, and makes use of the complex expression of quaternion to obtain that the circulant matrices over the quaternion field can be transformed into blockdiagonal matrices under the unitary similarity.at the end of the article,we give a specific numerical example. Mathematics Subject Classification: 47H09; 47H10 Keywords: circulant matrix ; quaternion field; unitary similarity ; diagonalization 1. Introduction Circulant matrix is a class of very important special matrix,widely applied in modem technology field,such as in codes theory, mathematical statistics, theoretical physics, solid-state physics, structural computing, digital image process,control theory,optimization, matrix decomposition etc.with the proposition of the quaternion definition and its application in many engineering fields, how to popularize the properties and conclusions of circulant matrices from the domain to the quaternion field is becoming a hot subject of recent research.in the [4],Yu has discussed the contemporary up-triangulation of two quaternion matrices.in the [5],Jiang and Wei have given out the equivalent conditions of diagonalization of quaternion matrix by using the unitary vector.in the [6],Zhou has studied the conditions of diagonalization of the g-circulant matrices.in the [7],Zhang has studied the block k-circulant matrix and its diagonalization. This paper mainly studies the block diagonalization of the quaternion circulant matrices,and gives a simplified method to determine circulant matrices whether invertible or not. 1 lujiyong1000@163.com

2 18 Jiyong Lu, Junqing Wang and Yumin Feng. Preliminaries Let R be the real field, C be the complex field and Q be the real quaternion field.a(a ij ) denotes the matrix on the quaternion field, where a ij Q.Denote α = a + bi + cj + dk Q,where a, b, c, d R,and α = a bi cj dk is called conjugate quaternion of α.q n n and CQ respectively represent the set of n-order quaternion matrices and the set of the quaternion circulant matrices. Definition 1 Let A be a n-order matrix over the quaternion field. a 0 a 1... a n 1 a If A = n 1 a 0... a n (a i Q, i =0, 1,,n 1),we call it the a 1 a... a 0 quaternion circulant matrix. Note that A only has relationship with the elements of its first line,we denote A with CQ(a 0,a 1,...,a n 1 ) CQ J = CQ(0, 1,...,0), that is J =.. is called the basic circulant matrix. Obviously,all the J, J,,J n = I (n-order identity matrix)are circulant matrices,and we have A = a 0 I + a 1 J + + a n 1 J n 1.Let f(x) =a 0 +a 1 x+ +a n 1 x n 1,then A = f(j),so we call f(x) as the generated polynomial of circulant matrix A. Definition Let A Q n n,if AA*=A*A=I,then A is called the n-order quaternion unitary matrix,and the set of all the quaternion unitary matrices is denoted as Q(H,u) ω ω... ω n 1 Definition 3 Let Ω = 1 1 ω n ω 4... ω (n 1)..,where ω is 1 ω n 1 ω (n 1)... ω (n 1)(n 1) the n-primitive unit root of 1.It can be easily proved that Ω = Ω,ΩΩ =Ω Ω=I and (Ω ) =Ω = Analysis of the block diagonal form of quaternion circulant matrices Lemma 1 Let H be a n-order matrix over the complex field,then jh = Hj and jhj = H. Lemma Let H Q n n,then H can be expressed as H = H 1 + H j,where H 1,H C.

3 The block diagonalization of circulant matrices 19 Lemma3 (Ω + Ωj) 1 = 1 (Ω jω )= 1(Ω + Ωj),where Ω as defined in the Definition 3. Lemma 4 If A = CQ(a 0,a 1,...,a n 1 ),then the eigenvalues of A are λ j = f(ω j )=a 0 + a 1 ω j + a (ω j ) + + a n 1 (ω j ) n 1 (j =1,,,n). Lemma 5 A(a ij ) (where a ij C) is a circulant matrix if and only if A = ΩDΩ,where D = diag(λ 1,λ,,λ n ),and λ j (j =1,,,n) as obtained in the Lemma 4. Theorem. Let H = CQ(a 0,a 1,...,a n 1 ) CQ, then exists an U Q(H, u),such that H is similar to a block diagonal matrix,that is UHU = diag(s 1,S,,S t ),where S i are the one or two order matrix and have the specific forms as below, ( ) ui v (1)S 1 =(u 1 + v 1 ), ()S i = i (i =, 3; n>4), v n i+ u n i+ ( ) u(t i)+6 v (3)S 3 =(u 4 +v 3 )(n =4), (4)S i = i, 4 i t 1(n =t>4), v t+1 i u (t i)+5 ( ) u(t i)+5 v (5)S t =(u 4 +v t ), (n =t>4), (6)S i = i, 4 i t(n =t 1). v t+1 i u (t i)+4 Proof. From Lemma, H = H 1 + H j,where H 1,H C.Owing to Lemma 5,put Ω defined in Definition 3,such that ΩH 1 Ω = D 1, ΩH Ω = D, where D 1 = diag(f(ω),f(ω ),,f(ω n )),D = diag(g(ω),,g(ω n )), where f(x),g(x) are respectively the generated polynomials of H 1 and H. then we obtain (Ω + Ωj)(H 1 + H j)(ω + Ωj) 1 = 1 (Ω + Ωj)(H 1 + H j)(ω jω ) = 1 (D 1 +D.ΩjΩ +ΩjΩ.D 1 D D 1.ΩjΩ +D +D 1 +ΩjΩ.D ) = 1 [ReD ImD +D. j D 1j D 1. j D j u v u = v. j = M+Nj, u n 0 v n... 0 where u i = Ref(ω i )+Img(ω i )(i =1,,,n); v 1 = 1 [f(ω) f(ω)+g(ω)+ g(ω)],v i = 1 [f(ωn i +) f(ω i )+g(ω i )+g(ω n +)](i =, 3,,n).

4 130 Jiyong Lu, Junqing Wang and Yumin Feng Now we discuss the n W hen n is odd, select G =, evidently, GG T = I,visa calculating,we obtain G(Ω + Ωj)(H 1 + H j)(ω + Ωj) 1 G T = G[ (Ω + Ωj)](H 1 + H j)[ (Ω + Ωj) ]G T = G(M + Nj)G T u 1 + v u v v n u n u 3 v = v n 1 u n u 5 v n vn+1 +1 u W hen n is even, select G =, evidently, GG T = I,by computing,we can get = G[ G(Ω + Ωj)(H 1 + H j)(ω + Ωj) 1 G T (Ω + Ωj)](H 1 + H j)[ (Ω + Ωj) ]G T = G(M + Nj)G T

5 The block diagonalization of circulant matrices 131 u 1 + v u v v n u n u 3 v = v n 1 u n u 6 v n vn + u u 4 + v n +1 Summarily,we set U = G(Ω+Ωj),which is an unitary matrix, then UHU = diag(s 1,S,,S t ), and the S i have the forms as shown in the title Remark. It is easy to see that this paper give one more help to judge a circulant matrix whether invertible or not. (1) Accordig to the paper,h is invertible as long as diag(s 1,S,,S t )is invertible,and as long as S i obtained in the theorem are invertible.then we can transform the inverse matrices problem of high-order circulant matrices into that of two-order matrices. () With the proof of the theorem,we can find that the article [] has some mistakes in Theorem 4 and give the appropriate expression in the theorem. 4. Example For n=4,we give an example.let H = where H 1 = 1+j + k +k 3+j 4+j k 4+j k 1+j + k +k 3+j 3+j 4+j k 1+j + k +k +k 3+j 4+j k 1+j + k ,H = = H 1 + H j, 1+i i 1 i 1 i 1+i i 1 i 1+i i i 1 i 1+i. According to the theorem above,we can select U = G(Ω + Ωj),where j 1+j 1+j 1+j G = , Ω+Ωj = 1+j i k 1 j i+ k 1+j 1 j 1+j 1 j, j i+ k 1 j i k such that UHU = 10 + i +4j j k 0 0 j + k +i i +j.

6 13 Jiyong Lu, Junqing Wang and Yumin Feng And ( according to the Remark ),we only need to judge the matrix j k S = whether invertible or not,and we easily prove that j + k +i S is invertible,so the matrix H is invertible. References [1] Minggang Chen, Lieya Yan, Properties and generalized inverse of -1 circulant matrix(in Chinese)[J],Journal of Shanxi University of Technology (Natural Science Edition),009,5(1). [] Hongwei Wang,The promotion of several theorems of circulant matrices over the quaternion field (in Chinese)[J], Journal of Linyi Teachers College, 001,3(4). [3]Likuan Zhao, Xiaopeng Yue,Xuezhi Du,The promotion of several theorems about circulant matrices[j],journal of Qufu Normal University,006,3() [4]Sen Yu, Quaternion matrices decomposition and its application(in Chinese)[D], National University of Defense Technology,006. [5] Tongsong Jiang,Musheng Wei,The diagonalization of quaternion matrices and its algorithm(in Chinese)[J],Journal of Engineering Mathematics,005,(1). [6] Jintu Zhou,The diagonalization of g-circulant matrices[j],journal of Zhejiang Normal University(Natural Science),004,7(4) [7]Guanghui Zhang,On the block k-circulant matrix and its diagonalization(in Chinese)[J], University Mathematics,007,3(). [8] Wajin Zhuang, Guidance of matrix theory on skew field[m], Science press, Beijing(006). Received: November, 009

Congruence Diagonalization of Two. Hermite Matrices Simultaneously

Congruence Diagonalization of Two. Hermite Matrices Simultaneously International Journal of Algebra, Vol 4, 2010, no 23, 1119-1125 Congruence Diagonalization of Two Hermite Matrices Simultaneously Junqing Wang, Jiyong Lu and Yumin Feng Department of Mathematics Tianjin

More information

Distribution for the Standard Eigenvalues of Quaternion Matrices

Distribution for the Standard Eigenvalues of Quaternion Matrices International Mathematical Forum, Vol. 7, 01, no. 17, 831-838 Distribution for the Standard Eigenvalues of Quaternion Matrices Shahid Qaisar College of Mathematics and Statistics, Chongqing University

More information

The estimation of eigenvalues of sum, difference, and tensor product of matrices over quaternion division algebra

The estimation of eigenvalues of sum, difference, and tensor product of matrices over quaternion division algebra Available online at www.sciencedirect.com Linear Algebra and its Applications 428 (2008) 3023 3033 www.elsevier.com/locate/laa The estimation of eigenvalues of sum, difference, and tensor product of matrices

More information

Group Inverse for a Class 2 2 Circulant Block Matrices over Skew Fields

Group Inverse for a Class 2 2 Circulant Block Matrices over Skew Fields International Mathematical Forum Vol. 7 2012 no. 40 1975-1979 Group Inverse for a Class 2 2 Circulant Block Matrices over Skew Fields Junqing Wang Department of Mathematics Dezhou University Shandong 253055

More information

Formulas for the Drazin Inverse of Matrices over Skew Fields

Formulas for the Drazin Inverse of Matrices over Skew Fields Filomat 30:12 2016 3377 3388 DOI 102298/FIL1612377S Published by Faculty of Sciences and Mathematics University of Niš Serbia Available at: http://wwwpmfniacrs/filomat Formulas for the Drazin Inverse of

More information

Group Inverse for a Class of. Centrosymmetric Matrix

Group Inverse for a Class of. Centrosymmetric Matrix International athematical Forum, Vol. 13, 018, no. 8, 351-356 HIKARI Ltd, www.m-hikari.com https://doi.org/10.1988/imf.018.8530 Group Inverse for a Class of Centrosymmetric atrix ei Wang and Junqing Wang

More information

Computing the Determinant and Inverse of the Complex Fibonacci Hermitian Toeplitz Matrix

Computing the Determinant and Inverse of the Complex Fibonacci Hermitian Toeplitz Matrix British Journal of Mathematics & Computer Science 9(6: -6 206; Article nobjmcs30398 ISSN: 223-085 SCIENCEDOMAIN international wwwsciencedomainorg Computing the Determinant and Inverse of the Complex Fibonacci

More information

Eigenvalues and Eigenvectors

Eigenvalues and Eigenvectors /88 Chia-Ping Chen Department of Computer Science and Engineering National Sun Yat-sen University Linear Algebra Eigenvalue Problem /88 Eigenvalue Equation By definition, the eigenvalue equation for matrix

More information

The semi-convergence of GSI method for singular saddle point problems

The semi-convergence of GSI method for singular saddle point problems Bull. Math. Soc. Sci. Math. Roumanie Tome 57(05 No., 04, 93 00 The semi-convergence of GSI method for singular saddle point problems by Shu-Xin Miao Abstract Recently, Miao Wang considered the GSI method

More information

j=1 u 1jv 1j. 1/ 2 Lemma 1. An orthogonal set of vectors must be linearly independent.

j=1 u 1jv 1j. 1/ 2 Lemma 1. An orthogonal set of vectors must be linearly independent. Lecture Notes: Orthogonal and Symmetric Matrices Yufei Tao Department of Computer Science and Engineering Chinese University of Hong Kong taoyf@cse.cuhk.edu.hk Orthogonal Matrix Definition. Let u = [u

More information

On the solvability of an equation involving the Smarandache function and Euler function

On the solvability of an equation involving the Smarandache function and Euler function Scientia Magna Vol. 008), No., 9-33 On the solvability of an equation involving the Smarandache function and Euler function Weiguo Duan and Yanrong Xue Department of Mathematics, Northwest University,

More information

Acceleration of Levenberg-Marquardt method training of chaotic systems fuzzy modeling

Acceleration of Levenberg-Marquardt method training of chaotic systems fuzzy modeling ISSN 746-7233, England, UK World Journal of Modelling and Simulation Vol. 3 (2007) No. 4, pp. 289-298 Acceleration of Levenberg-Marquardt method training of chaotic systems fuzzy modeling Yuhui Wang, Qingxian

More information

ELA ON A SCHUR COMPLEMENT INEQUALITY FOR THE HADAMARD PRODUCT OF CERTAIN TOTALLY NONNEGATIVE MATRICES

ELA ON A SCHUR COMPLEMENT INEQUALITY FOR THE HADAMARD PRODUCT OF CERTAIN TOTALLY NONNEGATIVE MATRICES ON A SCHUR COMPLEMENT INEQUALITY FOR THE HADAMARD PRODUCT OF CERTAIN TOTALLY NONNEGATIVE MATRICES ZHONGPENG YANG AND XIAOXIA FENG Abstract. Under the entrywise dominance partial ordering, T.L. Markham

More information

arxiv: v1 [math.ra] 11 Aug 2014

arxiv: v1 [math.ra] 11 Aug 2014 Double B-tensors and quasi-double B-tensors Chaoqian Li, Yaotang Li arxiv:1408.2299v1 [math.ra] 11 Aug 2014 a School of Mathematics and Statistics, Yunnan University, Kunming, Yunnan, P. R. China 650091

More information

1 Linear Algebra Problems

1 Linear Algebra Problems Linear Algebra Problems. Let A be the conjugate transpose of the complex matrix A; i.e., A = A t : A is said to be Hermitian if A = A; real symmetric if A is real and A t = A; skew-hermitian if A = A and

More information

linearly indepedent eigenvectors as the multiplicity of the root, but in general there may be no more than one. For further discussion, assume matrice

linearly indepedent eigenvectors as the multiplicity of the root, but in general there may be no more than one. For further discussion, assume matrice 3. Eigenvalues and Eigenvectors, Spectral Representation 3.. Eigenvalues and Eigenvectors A vector ' is eigenvector of a matrix K, if K' is parallel to ' and ' 6, i.e., K' k' k is the eigenvalue. If is

More information

Spectral inequalities and equalities involving products of matrices

Spectral inequalities and equalities involving products of matrices Spectral inequalities and equalities involving products of matrices Chi-Kwong Li 1 Department of Mathematics, College of William & Mary, Williamsburg, Virginia 23187 (ckli@math.wm.edu) Yiu-Tung Poon Department

More information

Linear Algebra. Workbook

Linear Algebra. Workbook Linear Algebra Workbook Paul Yiu Department of Mathematics Florida Atlantic University Last Update: November 21 Student: Fall 2011 Checklist Name: A B C D E F F G H I J 1 2 3 4 5 6 7 8 9 10 xxx xxx xxx

More information

Group inverse for the block matrix with two identical subblocks over skew fields

Group inverse for the block matrix with two identical subblocks over skew fields Electronic Journal of Linear Algebra Volume 21 Volume 21 2010 Article 7 2010 Group inverse for the block matrix with two identical subblocks over skew fields Jiemei Zhao Changjiang Bu Follow this and additional

More information

CLASSICAL GROUPS DAVID VOGAN

CLASSICAL GROUPS DAVID VOGAN CLASSICAL GROUPS DAVID VOGAN 1. Orthogonal groups These notes are about classical groups. That term is used in various ways by various people; I ll try to say a little about that as I go along. Basically

More information

Efficient algorithms for finding the minimal polynomials and the

Efficient algorithms for finding the minimal polynomials and the Efficient algorithms for finding the minimal polynomials and the inverses of level- FLS r 1 r -circulant matrices Linyi University Department of mathematics Linyi Shandong 76005 China jzh108@sina.com Abstract:

More information

Yimin Wei a,b,,1, Xiezhang Li c,2, Fanbin Bu d, Fuzhen Zhang e. Abstract

Yimin Wei a,b,,1, Xiezhang Li c,2, Fanbin Bu d, Fuzhen Zhang e. Abstract Linear Algebra and its Applications 49 (006) 765 77 wwwelseviercom/locate/laa Relative perturbation bounds for the eigenvalues of diagonalizable and singular matrices Application of perturbation theory

More information

Double Total Domination in Circulant Graphs 1

Double Total Domination in Circulant Graphs 1 Applied Mathematical Sciences, Vol. 12, 2018, no. 32, 1623-1633 HIKARI Ltd, www.m-hikari.com https://doi.org/10.12988/ams.2018.811172 Double Total Domination in Circulant Graphs 1 Qin Zhang and Chengye

More information

New Integrable Decomposition of Super AKNS Equation

New Integrable Decomposition of Super AKNS Equation Commun. Theor. Phys. (Beijing, China) 54 (2010) pp. 803 808 c Chinese Physical Society and IOP Publishing Ltd Vol. 54, No. 5, November 15, 2010 New Integrable Decomposition of Super AKNS Equation JI Jie

More information

ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES

ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES olume 10 2009, Issue 2, Article 41, 10 pp. ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES HANYU LI, HU YANG, AND HUA SHAO COLLEGE OF MATHEMATICS AND PHYSICS CHONGQING UNIERSITY

More information

CHAPTER I. Rings. Definition A ring R is a set with two binary operations, addition + and

CHAPTER I. Rings. Definition A ring R is a set with two binary operations, addition + and CHAPTER I Rings 1.1 Definitions and Examples Definition 1.1.1. A ring R is a set with two binary operations, addition + and multiplication satisfying the following conditions for all a, b, c in R : (i)

More information

JUNXIA MENG. 2. Preliminaries. 1/k. x = max x(t), t [0,T ] x (t), x k = x(t) dt) k

JUNXIA MENG. 2. Preliminaries. 1/k. x = max x(t), t [0,T ] x (t), x k = x(t) dt) k Electronic Journal of Differential Equations, Vol. 29(29), No. 39, pp. 1 7. ISSN: 172-6691. URL: http://ejde.math.txstate.edu or http://ejde.math.unt.edu ftp ejde.math.txstate.edu POSIIVE PERIODIC SOLUIONS

More information

The spectral decomposition of near-toeplitz tridiagonal matrices

The spectral decomposition of near-toeplitz tridiagonal matrices Issue 4, Volume 7, 2013 115 The spectral decomposition of near-toeplitz tridiagonal matrices Nuo Shen, Zhaolin Jiang and Juan Li Abstract Some properties of near-toeplitz tridiagonal matrices with specific

More information

AN INVERSE EIGENVALUE PROBLEM AND AN ASSOCIATED APPROXIMATION PROBLEM FOR GENERALIZED K-CENTROHERMITIAN MATRICES

AN INVERSE EIGENVALUE PROBLEM AND AN ASSOCIATED APPROXIMATION PROBLEM FOR GENERALIZED K-CENTROHERMITIAN MATRICES AN INVERSE EIGENVALUE PROBLEM AND AN ASSOCIATED APPROXIMATION PROBLEM FOR GENERALIZED K-CENTROHERMITIAN MATRICES ZHONGYUN LIU AND HEIKE FAßBENDER Abstract: A partially described inverse eigenvalue problem

More information

AN ASYMPTOTIC BEHAVIOR OF QR DECOMPOSITION

AN ASYMPTOTIC BEHAVIOR OF QR DECOMPOSITION Unspecified Journal Volume 00, Number 0, Pages 000 000 S????-????(XX)0000-0 AN ASYMPTOTIC BEHAVIOR OF QR DECOMPOSITION HUAJUN HUANG AND TIN-YAU TAM Abstract. The m-th root of the diagonal of the upper

More information

ELA THE OPTIMAL PERTURBATION BOUNDS FOR THE WEIGHTED MOORE-PENROSE INVERSE. 1. Introduction. Let C m n be the set of complex m n matrices and C m n

ELA THE OPTIMAL PERTURBATION BOUNDS FOR THE WEIGHTED MOORE-PENROSE INVERSE. 1. Introduction. Let C m n be the set of complex m n matrices and C m n Electronic Journal of Linear Algebra ISSN 08-380 Volume 22, pp. 52-538, May 20 THE OPTIMAL PERTURBATION BOUNDS FOR THE WEIGHTED MOORE-PENROSE INVERSE WEI-WEI XU, LI-XIA CAI, AND WEN LI Abstract. In this

More information

PHYSICS 234 HOMEWORK 2 SOLUTIONS. So the eigenvalues are 1, 2, 4. To find the eigenvector for ω = 1 we have b c.

PHYSICS 234 HOMEWORK 2 SOLUTIONS. So the eigenvalues are 1, 2, 4. To find the eigenvector for ω = 1 we have b c. PHYSICS 34 HOMEWORK SOUTIONS.8.. The matrix we have to diagonalize is Ω 3 ( 4 So the characteristic equation is ( ( ω(( ω(4 ω. So the eigenvalues are,, 4. To find the eigenvector for ω we have 3 a (3 b

More information

Product Zero Derivations on Strictly Upper Triangular Matrix Lie Algebras

Product Zero Derivations on Strictly Upper Triangular Matrix Lie Algebras Journal of Mathematical Research with Applications Sept., 2013, Vol.33, No. 5, pp. 528 542 DOI:10.3770/j.issn:2095-2651.2013.05.002 Http://jmre.dlut.edu.cn Product Zero Derivations on Strictly Upper Triangular

More information

Improved grey derivative of grey Verhulst model and its application

Improved grey derivative of grey Verhulst model and its application IJCSI International Journal of Computer Science Issues, Vol. 9, Issue 6, No 3, November 0 ISSN (Online: 694-084 www.ijcsi.org 443 Improved grey derivative of grey Verhulst model and its application Yi-Zhang

More information

Inverse Perron values and connectivity of a uniform hypergraph

Inverse Perron values and connectivity of a uniform hypergraph Inverse Perron values and connectivity of a uniform hypergraph Changjiang Bu College of Automation College of Science Harbin Engineering University Harbin, PR China buchangjiang@hrbeu.edu.cn Jiang Zhou

More information

An Even Order Symmetric B Tensor is Positive Definite

An Even Order Symmetric B Tensor is Positive Definite An Even Order Symmetric B Tensor is Positive Definite Liqun Qi, Yisheng Song arxiv:1404.0452v4 [math.sp] 14 May 2014 October 17, 2018 Abstract It is easily checkable if a given tensor is a B tensor, or

More information

The reflexive and anti-reflexive solutions of the matrix equation A H XB =C

The reflexive and anti-reflexive solutions of the matrix equation A H XB =C Journal of Computational and Applied Mathematics 200 (2007) 749 760 www.elsevier.com/locate/cam The reflexive and anti-reflexive solutions of the matrix equation A H XB =C Xiang-yang Peng a,b,, Xi-yan

More information

Lecture notes on Quantum Computing. Chapter 1 Mathematical Background

Lecture notes on Quantum Computing. Chapter 1 Mathematical Background Lecture notes on Quantum Computing Chapter 1 Mathematical Background Vector states of a quantum system with n physical states are represented by unique vectors in C n, the set of n 1 column vectors 1 For

More information

Multiplicative Perturbation Bounds of the Group Inverse and Oblique Projection

Multiplicative Perturbation Bounds of the Group Inverse and Oblique Projection Filomat 30: 06, 37 375 DOI 0.98/FIL67M Published by Faculty of Sciences Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Multiplicative Perturbation Bounds of the Group

More information

NOTES ON BILINEAR FORMS

NOTES ON BILINEAR FORMS NOTES ON BILINEAR FORMS PARAMESWARAN SANKARAN These notes are intended as a supplement to the talk given by the author at the IMSc Outreach Programme Enriching Collegiate Education-2015. Symmetric bilinear

More information

Research Article Constrained Solutions of a System of Matrix Equations

Research Article Constrained Solutions of a System of Matrix Equations Journal of Applied Mathematics Volume 2012, Article ID 471573, 19 pages doi:10.1155/2012/471573 Research Article Constrained Solutions of a System of Matrix Equations Qing-Wen Wang 1 and Juan Yu 1, 2 1

More information

Orthogonal similarity of a real matrix and its transpose

Orthogonal similarity of a real matrix and its transpose Available online at www.sciencedirect.com Linear Algebra and its Applications 428 (2008) 382 392 www.elsevier.com/locate/laa Orthogonal similarity of a real matrix and its transpose J. Vermeer Delft University

More information

Math 108b: Notes on the Spectral Theorem

Math 108b: Notes on the Spectral Theorem Math 108b: Notes on the Spectral Theorem From section 6.3, we know that every linear operator T on a finite dimensional inner product space V has an adjoint. (T is defined as the unique linear operator

More information

Linear Algebra and its Applications

Linear Algebra and its Applications Linear Algebra and its Applications 36 (01 1960 1968 Contents lists available at SciVerse ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa The sum of orthogonal

More information

IN1993, Klein and Randić [1] introduced a distance function

IN1993, Klein and Randić [1] introduced a distance function IAENG International Journal of Applied Mathematics 4:3 IJAM_4_3_0 Some esults of esistance Distance irchhoff Index Based on -Graph Qun Liu Abstract he resistance distance between any two vertices of a

More information

Killing Vector Fields of Constant Length on Riemannian Normal Homogeneous Spaces

Killing Vector Fields of Constant Length on Riemannian Normal Homogeneous Spaces Killing Vector Fields of Constant Length on Riemannian Normal Homogeneous Spaces Ming Xu & Joseph A. Wolf Abstract Killing vector fields of constant length correspond to isometries of constant displacement.

More information

Spectra of the generalized edge corona of graphs

Spectra of the generalized edge corona of graphs Discrete Mathematics, Algorithms and Applications Vol 0, No 08) 85000 0 pages) c World Scientific Publishing Company DOI: 04/S7938309850007 Spectra of the generalized edge corona of graphs Yanyan Luo and

More information

ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES

ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES ON WEIGHTED PARTIAL ORDERINGS ON THE SET OF RECTANGULAR COMPLEX MATRICES HANYU LI, HU YANG College of Mathematics and Physics Chongqing University Chongqing, 400030, P.R. China EMail: lihy.hy@gmail.com,

More information

1 Last time: least-squares problems

1 Last time: least-squares problems MATH Linear algebra (Fall 07) Lecture Last time: least-squares problems Definition. If A is an m n matrix and b R m, then a least-squares solution to the linear system Ax = b is a vector x R n such that

More information

Synchronization and Bifurcation Analysis in Coupled Networks of Discrete-Time Systems

Synchronization and Bifurcation Analysis in Coupled Networks of Discrete-Time Systems Commun. Theor. Phys. (Beijing, China) 48 (2007) pp. 871 876 c International Academic Publishers Vol. 48, No. 5, November 15, 2007 Synchronization and Bifurcation Analysis in Coupled Networks of Discrete-Time

More information

forms Christopher Engström November 14, 2014 MAA704: Matrix factorization and canonical forms Matrix properties Matrix factorization Canonical forms

forms Christopher Engström November 14, 2014 MAA704: Matrix factorization and canonical forms Matrix properties Matrix factorization Canonical forms Christopher Engström November 14, 2014 Hermitian LU QR echelon Contents of todays lecture Some interesting / useful / important of matrices Hermitian LU QR echelon Rewriting a as a product of several matrices.

More information

Linear Algebra and its Applications

Linear Algebra and its Applications Linear Algebra and its Applications 431 (29) 188 195 Contents lists available at ScienceDirect Linear Algebra and its Applications journal homepage: www.elsevier.com/locate/laa Lattices associated with

More information

A Method for Solving Multilevel Multi-Objective System Based on Linguistic Judgment Matrix 1

A Method for Solving Multilevel Multi-Objective System Based on Linguistic Judgment Matrix 1 International Mathematical Forum, 3, 2008, no. 21, 1023-1028 A Method for Solving Multilevel Multi-Objective System Based on Linguistic Judgment Matrix 1 Li-Li Han 2 and Cui-Ping Wei College of Operations

More information

The Solvability Conditions for the Inverse Eigenvalue Problem of Hermitian and Generalized Skew-Hamiltonian Matrices and Its Approximation

The Solvability Conditions for the Inverse Eigenvalue Problem of Hermitian and Generalized Skew-Hamiltonian Matrices and Its Approximation The Solvability Conditions for the Inverse Eigenvalue Problem of Hermitian and Generalized Skew-Hamiltonian Matrices and Its Approximation Zheng-jian Bai Abstract In this paper, we first consider the inverse

More information

Some bounds for the spectral radius of the Hadamard product of matrices

Some bounds for the spectral radius of the Hadamard product of matrices Some bounds for the spectral radius of the Hadamard product of matrices Guang-Hui Cheng, Xiao-Yu Cheng, Ting-Zhu Huang, Tin-Yau Tam. June 1, 2004 Abstract Some bounds for the spectral radius of the Hadamard

More information

Metacommutation of Hurwitz primes

Metacommutation of Hurwitz primes Metacommutation of Hurwitz primes Abhinav Kumar MIT Joint work with Henry Cohn January 10, 2013 Quaternions and Hurwitz integers Recall the skew-field of real quaternions H = R+Ri +Rj +Rk, with i 2 = j

More information

1 Positive and completely positive linear maps

1 Positive and completely positive linear maps Part 5 Functions Matrices We study functions on matrices related to the Löwner (positive semidefinite) ordering on positive semidefinite matrices that A B means A B is positive semi-definite. Note that

More information

of a Two-Operator Product 1

of a Two-Operator Product 1 Applied Mathematical Sciences, Vol. 7, 2013, no. 130, 6465-6474 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ams.2013.39501 Reverse Order Law for {1, 3}-Inverse of a Two-Operator Product 1 XUE

More information

Linear Algebra 1. M.T.Nair Department of Mathematics, IIT Madras. and in that case x is called an eigenvector of T corresponding to the eigenvalue λ.

Linear Algebra 1. M.T.Nair Department of Mathematics, IIT Madras. and in that case x is called an eigenvector of T corresponding to the eigenvalue λ. Linear Algebra 1 M.T.Nair Department of Mathematics, IIT Madras 1 Eigenvalues and Eigenvectors 1.1 Definition and Examples Definition 1.1. Let V be a vector space (over a field F) and T : V V be a linear

More information

Math 581 Problem Set 3 Solutions

Math 581 Problem Set 3 Solutions Math 581 Problem Set 3 Solutions 1. Prove that complex conjugation is a isomorphism from C to C. Proof: First we prove that it is a homomorphism. Define : C C by (z) = z. Note that (1) = 1. The other properties

More information

NATIONAL UNIVERSITY OF SINGAPORE DEPARTMENT OF MATHEMATICS SEMESTER 2 EXAMINATION, AY 2010/2011. Linear Algebra II. May 2011 Time allowed :

NATIONAL UNIVERSITY OF SINGAPORE DEPARTMENT OF MATHEMATICS SEMESTER 2 EXAMINATION, AY 2010/2011. Linear Algebra II. May 2011 Time allowed : NATIONAL UNIVERSITY OF SINGAPORE DEPARTMENT OF MATHEMATICS SEMESTER 2 EXAMINATION, AY 2010/2011 Linear Algebra II May 2011 Time allowed : 2 hours INSTRUCTIONS TO CANDIDATES 1. This examination paper contains

More information

A NEW EFFECTIVE PRECONDITIONED METHOD FOR L-MATRICES

A NEW EFFECTIVE PRECONDITIONED METHOD FOR L-MATRICES Journal of Mathematical Sciences: Advances and Applications Volume, Number 2, 2008, Pages 3-322 A NEW EFFECTIVE PRECONDITIONED METHOD FOR L-MATRICES Department of Mathematics Taiyuan Normal University

More information

Some inequalities for sum and product of positive semide nite matrices

Some inequalities for sum and product of positive semide nite matrices Linear Algebra and its Applications 293 (1999) 39±49 www.elsevier.com/locate/laa Some inequalities for sum and product of positive semide nite matrices Bo-Ying Wang a,1,2, Bo-Yan Xi a, Fuzhen Zhang b,

More information

Classification of the Entangled States of 2 L M N

Classification of the Entangled States of 2 L M N Classification of the Entangled States of 2 L M N Liang-Liang Sun 1, Jun-Li Li 1 and Cong-Feng Qiao 1,2 arxiv:1401.6609v1 [quant-ph] 26 Jan 2014 1 School of Physics, University of Chinese Academy of Sciences

More information

18.06 Problem Set 8 - Solutions Due Wednesday, 14 November 2007 at 4 pm in

18.06 Problem Set 8 - Solutions Due Wednesday, 14 November 2007 at 4 pm in 806 Problem Set 8 - Solutions Due Wednesday, 4 November 2007 at 4 pm in 2-06 08 03 Problem : 205+5+5+5 Consider the matrix A 02 07 a Check that A is a positive Markov matrix, and find its steady state

More information

Exercises on chapter 1

Exercises on chapter 1 Exercises on chapter 1 1. Let G be a group and H and K be subgroups. Let HK = {hk h H, k K}. (i) Prove that HK is a subgroup of G if and only if HK = KH. (ii) If either H or K is a normal subgroup of G

More information

Time-delay feedback control in a delayed dynamical chaos system and its applications

Time-delay feedback control in a delayed dynamical chaos system and its applications Time-delay feedback control in a delayed dynamical chaos system and its applications Ye Zhi-Yong( ), Yang Guang( ), and Deng Cun-Bing( ) School of Mathematics and Physics, Chongqing University of Technology,

More information

Solutions Problem Set 8 Math 240, Fall

Solutions Problem Set 8 Math 240, Fall Solutions Problem Set 8 Math 240, Fall 2012 5.6 T/F.2. True. If A is upper or lower diagonal, to make det(a λi) 0, we need product of the main diagonal elements of A λi to be 0, which means λ is one of

More information

ROBUST PASSIVE OBSERVER-BASED CONTROL FOR A CLASS OF SINGULAR SYSTEMS

ROBUST PASSIVE OBSERVER-BASED CONTROL FOR A CLASS OF SINGULAR SYSTEMS INTERNATIONAL JOURNAL OF INFORMATON AND SYSTEMS SCIENCES Volume 5 Number 3-4 Pages 480 487 c 2009 Institute for Scientific Computing and Information ROBUST PASSIVE OBSERVER-BASED CONTROL FOR A CLASS OF

More information

Properties for the Perron complement of three known subclasses of H-matrices

Properties for the Perron complement of three known subclasses of H-matrices Wang et al Journal of Inequalities and Applications 2015) 2015:9 DOI 101186/s13660-014-0531-1 R E S E A R C H Open Access Properties for the Perron complement of three known subclasses of H-matrices Leilei

More information

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices

A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices A Block-Jacobi Algorithm for Non-Symmetric Joint Diagonalization of Matrices ao Shen and Martin Kleinsteuber Department of Electrical and Computer Engineering Technische Universität München, Germany {hao.shen,kleinsteuber}@tum.de

More information

Applied Mathematics Letters

Applied Mathematics Letters Applied Mathematics Letters 24 (2011) 797 802 Contents lists available at ScienceDirect Applied Mathematics Letters journal homepage: wwwelseviercom/locate/aml Model order determination using the Hankel

More information

Research Article On the Hermitian R-Conjugate Solution of a System of Matrix Equations

Research Article On the Hermitian R-Conjugate Solution of a System of Matrix Equations Applied Mathematics Volume 01, Article ID 398085, 14 pages doi:10.1155/01/398085 Research Article On the Hermitian R-Conjugate Solution of a System of Matrix Equations Chang-Zhou Dong, 1 Qing-Wen Wang,

More information

The chromatic number and the least eigenvalue of a graph

The chromatic number and the least eigenvalue of a graph The chromatic number and the least eigenvalue of a graph Yi-Zheng Fan 1,, Gui-Dong Yu 1,, Yi Wang 1 1 School of Mathematical Sciences Anhui University, Hefei 30039, P. R. China fanyz@ahu.edu.cn (Y.-Z.

More information

ON THE SINGULAR DECOMPOSITION OF MATRICES

ON THE SINGULAR DECOMPOSITION OF MATRICES An. Şt. Univ. Ovidius Constanţa Vol. 8, 00, 55 6 ON THE SINGULAR DECOMPOSITION OF MATRICES Alina PETRESCU-NIŢǍ Abstract This paper is an original presentation of the algorithm of the singular decomposition

More information

Approximation algorithms for nonnegative polynomial optimization problems over unit spheres

Approximation algorithms for nonnegative polynomial optimization problems over unit spheres Front. Math. China 2017, 12(6): 1409 1426 https://doi.org/10.1007/s11464-017-0644-1 Approximation algorithms for nonnegative polynomial optimization problems over unit spheres Xinzhen ZHANG 1, Guanglu

More information

Results on stability of linear systems with time varying delay

Results on stability of linear systems with time varying delay IET Control Theory & Applications Brief Paper Results on stability of linear systems with time varying delay ISSN 75-8644 Received on 8th June 206 Revised st September 206 Accepted on 20th September 206

More information

Quadrature for the Finite Free Convolution

Quadrature for the Finite Free Convolution Spectral Graph Theory Lecture 23 Quadrature for the Finite Free Convolution Daniel A. Spielman November 30, 205 Disclaimer These notes are not necessarily an accurate representation of what happened in

More information

22m:033 Notes: 7.1 Diagonalization of Symmetric Matrices

22m:033 Notes: 7.1 Diagonalization of Symmetric Matrices m:33 Notes: 7. Diagonalization of Symmetric Matrices Dennis Roseman University of Iowa Iowa City, IA http://www.math.uiowa.edu/ roseman May 3, Symmetric matrices Definition. A symmetric matrix is a matrix

More information

Biderivations of the Algebra of Strictly Upper Triangular Matrices over a Commutative Ring

Biderivations of the Algebra of Strictly Upper Triangular Matrices over a Commutative Ring Journal of Mathematical Research & Exposition Nov., 2011, Vol. 31, No. 6, pp. 965 976 DOI:10.3770/j.issn:1000-341X.2011.06.002 Http://jmre.dlut.edu.cn Biderivations of the Algebra of Strictly Upper Triangular

More information

1 = I I I II 1 1 II 2 = normalization constant III 1 1 III 2 2 III 3 = normalization constant...

1 = I I I II 1 1 II 2 = normalization constant III 1 1 III 2 2 III 3 = normalization constant... Here is a review of some (but not all) of the topics you should know for the midterm. These are things I think are important to know. I haven t seen the test, so there are probably some things on it that

More information

arxiv: v1 [math.na] 1 Sep 2018

arxiv: v1 [math.na] 1 Sep 2018 On the perturbation of an L -orthogonal projection Xuefeng Xu arxiv:18090000v1 [mathna] 1 Sep 018 September 5 018 Abstract The L -orthogonal projection is an important mathematical tool in scientific computing

More information

A CRITERION FOR POLYNOMIALS TO BE CONGRUENT TO THE PRODUCT OF LINEAR POLYNOMIALS (mod p) ZHI-HONG SUN

A CRITERION FOR POLYNOMIALS TO BE CONGRUENT TO THE PRODUCT OF LINEAR POLYNOMIALS (mod p) ZHI-HONG SUN A CRITERION FOR POLYNOMIALS TO BE CONGRUENT TO THE PRODUCT OF LINEAR POLYNOMIALS (mod ) ZHI-HONG SUN Deartment of Mathematics, Huaiyin Teachers College, Huaian 223001, Jiangsu, P. R. China e-mail: hyzhsun@ublic.hy.js.cn

More information

Linear Algebra Lecture Notes-II

Linear Algebra Lecture Notes-II Linear Algebra Lecture Notes-II Vikas Bist Department of Mathematics Panjab University, Chandigarh-64 email: bistvikas@gmail.com Last revised on March 5, 8 This text is based on the lectures delivered

More information

Preliminary/Qualifying Exam in Numerical Analysis (Math 502a) Spring 2012

Preliminary/Qualifying Exam in Numerical Analysis (Math 502a) Spring 2012 Instructions Preliminary/Qualifying Exam in Numerical Analysis (Math 502a) Spring 2012 The exam consists of four problems, each having multiple parts. You should attempt to solve all four problems. 1.

More information

a 11 a 12 a 11 a 12 a 13 a 21 a 22 a 23 . a 31 a 32 a 33 a 12 a 21 a 23 a 31 a = = = = 12

a 11 a 12 a 11 a 12 a 13 a 21 a 22 a 23 . a 31 a 32 a 33 a 12 a 21 a 23 a 31 a = = = = 12 24 8 Matrices Determinant of 2 2 matrix Given a 2 2 matrix [ ] a a A = 2 a 2 a 22 the real number a a 22 a 2 a 2 is determinant and denoted by det(a) = a a 2 a 2 a 22 Example 8 Find determinant of 2 2

More information

Bounds Improvement for Neuman-Sándor Mean Using Arithmetic, Quadratic and Contraharmonic Means 1

Bounds Improvement for Neuman-Sándor Mean Using Arithmetic, Quadratic and Contraharmonic Means 1 International Mathematical Forum, Vol. 8, 2013, no. 30, 1477-1485 HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/imf.2013.36125 Bounds Improvement for Neuman-Sándor Mean Using Arithmetic, Quadratic

More information

Computing Moore-Penrose Inverses of Ore Polynomial Matrices Yang Zhang

Computing Moore-Penrose Inverses of Ore Polynomial Matrices Yang Zhang Computing Moore-Penrose Inverses of Ore Polynomial Matrices Yang Zhang Department of Mathematics University of Manitoba, Canada Outline History and motivation. Theorems and algorithms for quaternion polynomials

More information

Fall TMA4145 Linear Methods. Exercise set Given the matrix 1 2

Fall TMA4145 Linear Methods. Exercise set Given the matrix 1 2 Norwegian University of Science and Technology Department of Mathematical Sciences TMA445 Linear Methods Fall 07 Exercise set Please justify your answers! The most important part is how you arrive at an

More information

LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI. 1. Maximal Tori

LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI. 1. Maximal Tori LECTURE 25-26: CARTAN S THEOREM OF MAXIMAL TORI 1. Maximal Tori By a torus we mean a compact connected abelian Lie group, so a torus is a Lie group that is isomorphic to T n = R n /Z n. Definition 1.1.

More information

MATRIX ANALYSIS HOMEWORK

MATRIX ANALYSIS HOMEWORK MATRIX ANALYSIS HOMEWORK VERN I. PAULSEN 1. Due 9/25 We let S n denote the group of all permutations of {1,..., n}. 1. Compute the determinants of the elementary matrices: U(k, l), D(k, λ), and S(k, l;

More information

An Explicit SOS Decomposition of A Fourth Order Four Dimensional Hankel Tensor with A Symmetric Generating Vector

An Explicit SOS Decomposition of A Fourth Order Four Dimensional Hankel Tensor with A Symmetric Generating Vector arxiv:1503.03383v1 [math.oc] 8 Mar 2015 An Explicit SOS Decomposition of A Fourth Order Four Dimensional Hankel Tensor with A Symmetric Generating Vector Yannan Chen Liqun Qi Qun Wang September 25, 2018

More information

Finite Frames and Graph Theoretical Uncertainty Principles

Finite Frames and Graph Theoretical Uncertainty Principles Finite Frames and Graph Theoretical Uncertainty Principles (pkoprows@math.umd.edu) University of Maryland - College Park April 13, 2015 Outline 1 Motivation 2 Definitions 3 Results Outline 1 Motivation

More information

NORMAL SMASH PRODUCTS

NORMAL SMASH PRODUCTS PORTUGALIAE MATHEMATICA Vol. 55 Fasc. 3 1998 NORMAL SMASH PRODUCTS S. Yang and D. Wang* Abstract: Let H be a co-frobenius Hopf algebra over a field k and A a right H-comodule algebra. It is shown that

More information

Algebra C Numerical Linear Algebra Sample Exam Problems

Algebra C Numerical Linear Algebra Sample Exam Problems Algebra C Numerical Linear Algebra Sample Exam Problems Notation. Denote by V a finite-dimensional Hilbert space with inner product (, ) and corresponding norm. The abbreviation SPD is used for symmetric

More information

M.A. Botchev. September 5, 2014

M.A. Botchev. September 5, 2014 Rome-Moscow school of Matrix Methods and Applied Linear Algebra 2014 A short introduction to Krylov subspaces for linear systems, matrix functions and inexact Newton methods. Plan and exercises. M.A. Botchev

More information

Hessenberg Pairs of Linear Transformations

Hessenberg Pairs of Linear Transformations Hessenberg Pairs of Linear Transformations Ali Godjali November 21, 2008 arxiv:0812.0019v1 [math.ra] 28 Nov 2008 Abstract Let K denote a field and V denote a nonzero finite-dimensional vector space over

More information

Maxima of the signless Laplacian spectral radius for planar graphs

Maxima of the signless Laplacian spectral radius for planar graphs Electronic Journal of Linear Algebra Volume 0 Volume 0 (2015) Article 51 2015 Maxima of the signless Laplacian spectral radius for planar graphs Guanglong Yu Yancheng Teachers University, yglong01@16.com

More information

arxiv: v1 [math.rt] 16 Jun 2015

arxiv: v1 [math.rt] 16 Jun 2015 Representations of group rings and groups Ted Hurley arxiv:5060549v [mathrt] 6 Jun 205 Abstract An isomorphism between the group ring of a finite group and a ring of certain block diagonal matrices is

More information

Tensor-Tensor Product Toolbox

Tensor-Tensor Product Toolbox Tensor-Tensor Product Toolbox 1 version 10 Canyi Lu canyilu@gmailcom Carnegie Mellon University https://githubcom/canyilu/tproduct June, 018 1 INTRODUCTION Tensors are higher-order extensions of matrices

More information