Representations of Certain Matrices and Systems of Matrix Equations over Non-commutative Rings Wang Qing-Wen Depart. of Math. Shanghai University 2019/4/25.

Slides:



Advertisements
Similar presentations
Ch 7.7: Fundamental Matrices
Advertisements

Applied Informatics Štefan BEREŽNÝ
Chapter 28 – Part II Matrix Operations. Gaussian elimination Gaussian elimination LU factorization LU factorization Gaussian elimination with partial.
Symmetries in Nuclei, Tokyo, 2008 Scale invariance Object of which a detail when enlarged becomes (approximately) identical to the object itself. Condition.
Kalman Filtering, Theory and Practice Using Matlab Wang Hongmei
Mathematics Topics Table of Contents. 9/14/2013 Tables of Contents 2 How to Use Topics Main Topics Numbers Real Numbers Numbers and Data Numbers & Geometry.
3D Geometry for Computer Graphics
Some useful linear algebra. Linearly independent vectors span(V): span of vector space V is all linear combinations of vectors v i, i.e.
An equivalent reduction of a 2-D symmetric polynomial matrix N. P. Karampetakis Department of Mathematics Aristotle University of Thessaloniki Thessaloniki.
Chapter 3 Determinants and Matrices
Multivariable Control Systems
3D Geometry for Computer Graphics
Noncommutative Partial Fractions and Continued Fractions Darlayne Addabbo Professor Robert Wilson Department of Mathematics Rutgers University July 16,
NUU Department of Electrical Engineering Linear Algebra---Meiling CHEN1 Lecture 28 is positive definite Similar matrices Jordan form.
Digital Control Systems Vector-Matrix Analysis. Definitions.
On the fundamental matrix of the inverse of a polynomial matrix and applications N. P. Karampetakis S. Vologiannidis Department of Mathematics Aristotle.
資訊科學數學11 : Linear Equation and Matrices
3-4 Algebra Properties Used in Geometry The properties of operations of real numbers that you used in arithmetic and algebra can be applied in geometry.
1 Chapter 2 Matrices Matrices provide an orderly way of arranging values or functions to enhance the analysis of systems in a systematic manner. Their.
Introduction The central problems of Linear Algebra are to study the properties of matrices and to investigate the solutions of systems of linear equations.
Finite Mathematics Dr. Saeid Moloudzadeh Using Matrices to Solve Systems of Equations 1 Contents Algebra Review Functions and Linear Models.
8.1 Vector spaces A set of vector is said to form a linear vector space V Chapter 8 Matrices and vector spaces.
Gaussian Elimination, Rank and Cramer
Dr. Mubashir Alam King Saud University. Outline Systems of Linear Equations (6.1) Matrix Arithmetic (6.2) Arithmetic Operations (6.2.1) Elementary Row.
Geometric Mean Decomposition and Generalized Triangular Decomposition Yi JiangWilliam W. HagerJian Li
Chapter 2 Simultaneous Linear Equations (cont.)
Review of Matrices Or A Fast Introduction.
Finite Mathematics Dr. Saeid Moloudzadeh Solving Polynomial Equations 1 Contents Algebra Review Functions and Linear Models Systems of.
Copyright © 2007 Pearson Education, Inc. Slide 7-1.
Section 4-1: Introduction to Linear Systems. To understand and solve linear systems.
Section 1.5 Elementary Matrices and a Method for Finding A −1.
Algorithms for Comparing Molecule Conformations David Sehnal.
Elementary Linear Algebra Anton & Rorres, 9 th Edition Lecture Set – 07 Chapter 7: Eigenvalues, Eigenvectors.
Linear Algebra Diyako Ghaderyan 1 Contents:  Linear Equations in Linear Algebra  Matrix Algebra  Determinants  Vector Spaces  Eigenvalues.
Properties of Inverse Matrices King Saud University.
Chapter 6 Eigenvalues. Example In a certain town, 30 percent of the married women get divorced each year and 20 percent of the single women get married.
Finite Mathematics Dr. Saeid Moloudzadeh Multiplying and Factoring Algebraic Expressions 1 Contents Algebra Review Functions and Linear.
Linear Algebra Diyako Ghaderyan 1 Contents:  Linear Equations in Linear Algebra  Matrix Algebra  Determinants  Vector Spaces  Eigenvalues.
Stats & Summary. The Woodbury Theorem where the inverses.
Similar diagonalization of real symmetric matrix
STATIC ANALYSIS OF UNCERTAIN STRUCTURES USING INTERVAL EIGENVALUE DECOMPOSITION Mehdi Modares Tufts University Robert L. Mullen Case Western Reserve University.
The Further Mathematics network
Senior Seminar in Mathematics Math 495 Course Syllabus Class Periods: 2:30pm-3:45pm TR Classroom: Thompson Hall 303 Instructor: Mei Q. Chen, Thompson Hall.
Chapter 61 Chapter 7 Review of Matrix Methods Including: Eigen Vectors, Eigen Values, Principle Components, Singular Value Decomposition.
SOL’s Covered: Topics: Properties Translating Expressions and Equations Solving Equations Equation Word Problems Solving Inequalities Function Tables and.
Chapter 7 Algebraic Structures
Analogue and digital techniques in closed loop regulation applications
Mathematics-I J.Baskar Babujee Department of Mathematics
ALGEBRA AND TRIGONOMETRY
Equivalence, Invariants, and Symmetry Chapter 2
Matrix Addition and Scalar Multiplication
Introduction The central problems of Linear Algebra are to study the properties of matrices and to investigate the solutions of systems of linear equations.
Introduction The central problems of Linear Algebra are to study the properties of matrices and to investigate the solutions of systems of linear equations.
Matrix Multiplication
Review of Linear Algebra
4. The Eigenvalue.
Matrices and vector spaces
MATH Algebra II Analyzing Equations and Inequalities
Elementary Linear Algebra
An Introduction to Maple
Senior Seminar in Mathematics Math 495 Course Syllabus
Chapter 4 Linear Algebra Problems
Linear Algebra Lecture 3.
MAE 82 – Engineering Mathematics
Elementary Linear Algebra Anton & Rorres, 9th Edition
MATH CP Algebra II Analyzing Equations and Inequalities
Linear Algebra Lecture 29.
Part 3. Linear Programming
Linear Algebra: Matrix Eigenvalue Problems – Part 2
Generalized Inverse Matrices
Presentation transcript:

Representations of Certain Matrices and Systems of Matrix Equations over Non-commutative Rings Wang Qing-Wen Depart. of Math. Shanghai University 2019/4/25

Simultaneous decomposition of many matrices over any division rings The past and current status of matrix theory over non-commutative rings Simultaneous decomposition of many matrices over any division rings Various symmetric matrices and generalized positive semidefinite quaternion matrices Systems of matrix equations over regular rings Systems of generalized Sylvester equations over polynomial rings over a finite central algebra Some open problems 2019/4/25

1. The past and current status of matrix theory over non-commutative rings 2019/4/25

In 1843, Hamilton(1805-1865)discovered the quaternion. 2019/4/25

Professor Hua and Wan once said that it is very valuable to study matrices over division rings 2019/4/25

Many famous mathematicians, such as Cohn, Jacobson, Thompson, Wiegman, Guralnick, Gustafson, Hua, Xie, Wan, and others, made great contributions to matrix theory over non-commutative rings. The fundamental theory on reducing matrices by similarity established by P.M. Cohn. The fundamental centralizable theory on matrices over skewfields established by Xie Bangjie. 2019/4/25

The main contents of matrices over division rings Quaternion matrix theory Eigenvalus and elementary factors of matrices Generalized inverses of matrices determinants Matrix equations and systems of matrix equations Matrix inequalities Canonical forms and invariables of matrices Matrix geometry. 除环上矩阵的研究也越来越引人注目, 已是目前矩阵论研究的活跃课题之一, 并成为代数学研究的一个新的生长点. 2019/4/25

The main two tasks in investigating matrix equations The tools and methods Solvable conditions, expressions of general solutions, and certain constraint solutions, such as centrosymmetric solution 2019/4/25

Main tools Decompositions of matrices Generalized inverses of matrices Transformations of matrices 2019/4/25

2. Equivalence canonical forms of matrix triplets over any division rings 2019/4/25

2019/4/25

A Practical Algorithm 2019/4/25

2019/4/25

2019/4/25

2019/4/25

Applications of equivalence canonical forms of matrix triplets To investigate some linear matrix equations and systems over any division rings, such as 2019/4/25

To consider the independence of generalized Schur complement To study the rank of a partitioned matrix, rank minimization of a partitioned matrix, and the connection with generalized Schur complement 2019/4/25

4. Various symmetric matrices and generalized positive semidefinite matrices 2019/4/25

2019/4/25

2019/4/25

Generalized reflexive matrix 2019/4/25

Hsin-Chu Chen, Generalized reflexive matrices: special properties and applications, SIAM J. Matrix Anal. Appl. 19(1): 1998. 2019/4/25

Criteria for a matrix to be centrosymmetric and centroskewsymmetric 2019/4/25

2019/4/25

2019/4/25

Criteria for a matrix to be bisymmetric and biskewsymmetric 2019/4/25

2019/4/25

Generalized positive semidefinite matrix 2019/4/25

2019/4/25

2019/4/25

3. Systems of matrix equations over von Neumann regular ring 2019/4/25

An important system of matrix equations over a regular ring 2019/4/25

2019/4/25

2019/4/25

Various symmetric constant solutions to the system of generalized Sylvester matrix equations over a polynomial ring over a finite central algebra 2019/4/25

Sylvester matrix equation Generalized Sylvester matrix equation System of generalized Sylvester matrix equations 2019/4/25

System of Sylvester matrix equations 2019/4/25

2019/4/25

6. Some open problems How to generalize the Roth’s similarity theorem to an arbitrary division ring? How to find out various symmetric solutions to the system of generalized Sylvester equations over a polynomial ring over a finite central algebra? How to investigate nonlinear matrix equations over division rings and regular rings? 2019/4/25

Thanks! 2019/4/25