NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN1 Eigenvalues & eigenvectors Distinct eigenvalues Repeated eigenvalues –Independent.

Slides:



Advertisements
Similar presentations
Example: Given a matrix defining a linear mapping Find a basis for the null space and a basis for the range Pamela Leutwyler.
Advertisements

Chapter 6 Eigenvalues and Eigenvectors
A quick example calculating the column space and the nullspace of a matrix. Isabel K. Darcy Mathematics Department Applied Math and Computational Sciences.
Lecture 19 Singular Value Decomposition
Linear Transformations
Eigenvalues and Eigenvectors
Some useful linear algebra. Linearly independent vectors span(V): span of vector space V is all linear combinations of vectors v i, i.e.
5. Topic Method of Powers Stable Populations Linear Recurrences.
Linear Algebra---Meiling CHEN
Lecture 03 Canonical forms.
NUU Department of Electrical Engineering Linear Algebra---Meiling CHEN1 Lecture 15 Projection Least squares Projection matrix.
Linear system by Meiling CHEN1 Lesson 6 State transition matrix Linear system 1. Analysis.
Lecture 20 SVD and Its Applications Shang-Hua Teng.
Lecture 18 Eigenvalue Problems II Shang-Hua Teng.
6 1 Linear Transformations. 6 2 Hopfield Network Questions.
NUU Department of Electrical Engineering Linear Algebra---Meiling CHEN1 Lecture 28 is positive definite Similar matrices Jordan form.
5 5.1 © 2012 Pearson Education, Inc. Eigenvalues and Eigenvectors EIGENVECTORS AND EIGENVALUES.
Digital Control Systems Vector-Matrix Analysis. Definitions.
Dominant Eigenvalues & The Power Method
5.1 Orthogonality.
Introduction The central problems of Linear Algebra are to study the properties of matrices and to investigate the solutions of systems of linear equations.
Fundamentals from Linear Algebra Ghan S. Bhatt and Ali Sekmen Mathematical Sciences and Computer Science College of Engineering Tennessee State University.
Day 1 Eigenvalues and Eigenvectors
Day 1 Eigenvalues and Eigenvectors
6 1 Linear Transformations. 6 2 Hopfield Network Questions The network output is repeatedly multiplied by the weight matrix W. What is the effect of this.
Find EIGENVALUES and EIGENVECTORS for the matrix:
Linear algebra: matrix Eigen-value Problems
Domain Range definition: T is a linear transformation, EIGENVECTOR EIGENVALUE.
Computing Eigen Information for Small Matrices The eigen equation can be rearranged as follows: Ax = x  Ax = I n x  Ax - I n x = 0  (A - I n )x = 0.
Rotation matrices 1 Constructing rotation matricesEigenvectors and eigenvalues 0 x y.
1 Matrix Algebra and Random Vectors Shyh-Kang Jeng Department of Electrical Engineering/ Graduate Institute of Communication/ Graduate Institute of Networking.
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.
Nonhomogeneous Linear Systems Undetermined Coefficients.
KEY THEOREMS KEY IDEASKEY ALGORITHMS LINKED TO EXAMPLES next.
click to start Example: A LINEAR TRANSFORMATION.
Linear Algebra Diyako Ghaderyan 1 Contents:  Linear Equations in Linear Algebra  Matrix Algebra  Determinants  Vector Spaces  Eigenvalues.
5.1 Eigenvectors and Eigenvalues 5. Eigenvalues and Eigenvectors.
Lesson 7 Controllability & Observability Linear system 1. Analysis.
5 5.1 © 2016 Pearson Education, Ltd. Eigenvalues and Eigenvectors EIGENVECTORS AND EIGENVALUES.
Lecture Note 1 – Linear Algebra Shuaiqiang Wang Department of CS & IS University of Jyväskylä
Section 4.3 Properties of Linear Transformations from R n to R m.
Pamela Leutwyler. Find the eigenvalues and eigenvectors next.
Reduced echelon form Matrix equations Null space Range Determinant Invertibility Similar matrices Eigenvalues Eigenvectors Diagonabilty Power.
Review of Eigenvectors and Eigenvalues from CliffsNotes Online mining-the-Eigenvectors-of-a- Matrix.topicArticleId-20807,articleId-
Eigenvalues and Eigenvectors
Eigenvalues and Eigenvectors
Review of Eigenvectors and Eigenvalues
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.
Elementary Linear Algebra Anton & Rorres, 9th Edition
Matrices and vector spaces
Eigenvalues and Eigenvectors
Elementary Linear Algebra
Euclidean Inner Product on Rn
Some useful linear algebra
Matrix Algebra and Random Vectors
Equivalent State Equations
Theorems about LINEAR MAPPINGS.
Linear Transformations
Linear Algebra Lecture 32.
Elementary Linear Algebra Anton & Rorres, 9th Edition
Homogeneous Linear Systems
Linear Algebra Lecture 30.
Eigenvalues and Eigenvectors
Linear Transformations
Linear Algebra: Matrix Eigenvalue Problems – Part 2
Linear Algebra Lecture 28.
Eigenvalues and Eigenvectors
Lin. indep eigenvectors One single eigenvector
Presentation transcript:

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN1 Eigenvalues & eigenvectors Distinct eigenvalues Repeated eigenvalues –Independent eigenvectors –Generalize eigenvectors

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN2 V is the basis of Null-space of (A-λI) Since (A-λI) have to a singular matrix If n-r=1 than we have one basis for null space  one eigenvector for one eigenvalue If n-r>1 means we have more than one vectors  More than one eigenvectors for one eigenvalue

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN3 Case 1: depend V 1 and V 2 are Null-space of (A-λI)

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN4 Case 2: depend

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN5

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN6 Case 3:Jordan form Generalized eigenvectors

NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN7 Example: