Moore-Penrose Pseudoinverse & Generalized Inverse Matt Connor Fall 2013.

Slides:



Advertisements
Similar presentations
Chapter 28 – Part II Matrix Operations. Gaussian elimination Gaussian elimination LU factorization LU factorization Gaussian elimination with partial.
Advertisements

Matrices A matrix is a rectangular array of quantities (numbers, expressions or function), arranged in m rows and n columns x 3y.
1.5 Elementary Matrices and a Method for Finding
Lecture 7 Intersection of Hyperplanes and Matrix Inverse Shang-Hua Teng.
Lecture 9: Introduction to Matrix Inversion Gaussian Elimination Sections 2.4, 2.5, 2.6 Sections 2.2.3, 2.3.
Matrices & Systems of Linear Equations
Lecture 6 Intersection of Hyperplanes and Matrix Inverse Shang-Hua Teng.
Matrices. Special Matrices Matrix Addition and Subtraction Example.
Chapter 2 Matrices Definition of a matrix.
Ch 7.2: Review of Matrices For theoretical and computation reasons, we review results of matrix theory in this section and the next. A matrix A is an m.
化工應用數學 授課教師: 郭修伯 Lecture 9 Matrices
Finding the Inverse of a Matrix
CE 311 K - Introduction to Computer Methods Daene C. McKinney
Matrix-Matrix Multiplication An Example. 4 0 –  ======== 12 0 –
Copyright © Cengage Learning. All rights reserved. 7.6 The Inverse of a Square Matrix.
1 Operations with Matrice 2 Properties of Matrix Operations
Linear Algebra & Matrices MfD 2004 María Asunción Fernández Seara January 21 st, 2004 “The beginnings of matrices and determinants.
Elementary Linear Algebra Howard Anton Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 1.
Multivariate Linear Systems and Row Operations.
Elementary Linear Algebra Howard Anton Copyright © 2010 by John Wiley & Sons, Inc. All rights reserved. Chapter 1.
ECON 1150 Matrix Operations Special Matrices
 Row and Reduced Row Echelon  Elementary Matrices.
Barnett/Ziegler/Byleen Finite Mathematics 11e1 Review for Chapter 4 Important Terms, Symbols, Concepts 4.1. Systems of Linear Equations in Two Variables.
Copyright © 2011 Pearson, Inc. 7.3 Multivariate Linear Systems and Row Operations.
MA2213 Lecture 5 Linear Equations (Direct Solvers)
Matrix Algebra. Quick Review Quick Review Solutions.
Chap. 2 Matrices 2.1 Operations with Matrices
Slide Chapter 7 Systems and Matrices 7.1 Solving Systems of Two Equations.
Three variables Systems of Equations and Inequalities.
Numerical Computation Lecture 7: Finding Inverses: Gauss-Jordan United International College.
F UNDAMENTALS OF E NGINEERING A NALYSIS Eng. Hassan S. Migdadi Inverse of Matrix. Gauss-Jordan Elimination Part 1.
MAT 2401 Linear Algebra 2.3 The Inverse of a Matrix
Matrix Solutions to Linear Systems. 1. Write the augmented matrix for each system of linear equations.
Copyright © 1999 by the McGraw-Hill Companies, Inc. Barnett/Ziegler/Byleen Precalculus: Functions & Graphs, 4 th Edition Chapter Eight Systems of Equations.
Sec 3.5 Inverses of Matrices Where A is nxn Finding the inverse of A: Seq or row operations.
Overview Definitions Basic matrix operations (+, -, x) Determinants and inverses.
8.1 Matrices & Systems of Equations
Copyright © 2013, 2009, 2005 Pearson Education, Inc. 1 5 Systems and Matrices Copyright © 2013, 2009, 2005 Pearson Education, Inc.
Matrices CHAPTER 8.1 ~ 8.8. Ch _2 Contents  8.1 Matrix Algebra 8.1 Matrix Algebra  8.2 Systems of Linear Algebra Equations 8.2 Systems of Linear.
1. Inverse of A 2. Inverse of a 2x2 Matrix 3. Matrix With No Inverse 4. Solving a Matrix Equation 1.
10.4 Matrix Algebra 1.Matrix Notation 2.Sum/Difference of 2 matrices 3.Scalar multiple 4.Product of 2 matrices 5.Identity Matrix 6.Inverse of a matrix.
Matrices, Transformations and the 3D Pipeline Matthew Rusch Paul Keet.
Matrix Algebra and Regression a matrix is a rectangular array of elements m=#rows, n=#columns  m x n a single value is called a ‘scalar’ a single row.
Lecture 8 Matrix Inverse and LU Decomposition
Matrices and Systems of Equations
Properties of Inverse Matrices King Saud University.
Chapter 2 Determinants. With each square matrix it is possible to associate a real number called the determinant of the matrix. The value of this number.
Copyright © Cengage Learning. All rights reserved. 2 SYSTEMS OF LINEAR EQUATIONS AND MATRICES.
10.4 Matrix Algebra 1.Matrix Notation 2.Sum/Difference of 2 matrices 3.Scalar multiple 4.Product of 2 matrices 5.Identity Matrix 6.Inverse of a matrix.
Linear Algebra Chapter 2 Matrices.
Matrices and Matrix Operations. Matrices An m×n matrix A is a rectangular array of mn real numbers arranged in m horizontal rows and n vertical columns.
2.5 – Determinants and Multiplicative Inverses of Matrices.
Section 2.1 Determinants by Cofactor Expansion. THE DETERMINANT Recall from algebra, that the function f (x) = x 2 is a function from the real numbers.
2 - 1 Chapter 2A Matrices 2A.1 Definition, and Operations of Matrices: 1 Sums and Scalar Products; 2 Matrix Multiplication 2A.2 Properties of Matrix Operations;
Boot Camp in Linear Algebra TIM 209 Prof. Ram Akella.
Linear Algebra Engineering Mathematics-I. Linear Systems in Two Unknowns Engineering Mathematics-I.
Matrices, Vectors, Determinants.
Section 6-2: Matrix Multiplication, Inverses and Determinants There are three basic matrix operations. 1.Matrix Addition 2.Scalar Multiplication 3.Matrix.
Copyright © Cengage Learning. All rights reserved. 8 Matrices and Determinants.
College Algebra Chapter 6 Matrices and Determinants and Applications
Boyce/DiPrima 10th ed, Ch 7.2: Review of Matrices Elementary Differential Equations and Boundary Value Problems, 10th edition, by William E. Boyce and.
Linear Algebra review (optional)
7.7 Determinants. Cramer’s Rule
Lecture 2 Matrices Lat Time - Course Overview
Matrices and Matrix Solutions
Finding the Inverse of a Matrix
RECORD. RECORD Gaussian Elimination: derived system back-substitution.
3.8 Use Inverse Matrices to Solve Linear Systems
Linear Algebra review (optional)
Sec 3.5 Inverses of Matrices
Presentation transcript:

Moore-Penrose Pseudoinverse & Generalized Inverse Matt Connor Fall 2013

Inverse- when A is combined with its inverse you get the identity (I) Identity (I) - when combined with any other element X it will produce X ex: B*I = B

Determinate Denoted |A| General form of a 2x2 is In a 2x2 matrix, the determinate is given by |A| = ad - bc

Determinate of a 3x3 matrix

If A is an nxn matrix, and |A|≠0 then we call it nonsingular nonsingular matrices are invertible Some methods are Gauss-Jordan Elimination, Gaussian Elimination, and LU Decomposition

Gauss-Jordan Elimination Using the Elementary Row Operations 1.Interchanging two rows or columns 2. Adding a multiple of one row or column to another 3. Multiplying any row or column by a nonzero element

Moore-Penrose Pseudoinverse A generalization of the inverse matrix. Discovered by Moore in 1920, Penrose in 1955 independently Does not have to be nxn matrix Found using Singular Value Decomposition Common cases are over real and complex numbers can be used for matrices over a commutative ring

Uses Compute a best fit solution to a system of linear equations that does not have a unique solution Find the minimum solution to a linear system with multiple solutions Finding the condition number measures how sensitive a function is to a change in the input

Properties For A ∈ M(m,n;K) the pseudoinverse, A + ∈ M(n,m;K), satisfies these 4 properties 1. A A + A = A 2. A + A A + = A + 3. (AA + ) * = A A + 4. (A + A) * = A + A * = the conjugate transpose

For any matrix A, there is exactly one matrix A +, that satisfies the four properties of the Moore-Penrose Pseudoinverse A matrix that satisfies the first two conditions is called a Generalized inverse These always exist, but do not imply uniqueness, uniqueness is established by the last two conditions

Resources PenroseMatrixInverse.html PenroseMatrixInverse.html JordanElimination.html JordanElimination.html pdf pdf notes/Moore-Pinrose.pdf notes/Moore-Pinrose.pdf