Determinant of a Matrix

Slides:



Advertisements
Similar presentations
Matrix.
Advertisements

Chapter 2 Section 2. Lemma Let i=1 and j=2, then.
Matrices A matrix is a rectangular array of quantities (numbers, expressions or function), arranged in m rows and n columns x 3y.
Section 1.7 Diagonal, Triangular, and Symmetric Matrices.
1.5 Elementary Matrices and a Method for Finding
1.7 Diagonal, Triangular, and Symmetric Matrices.
Matrices & Systems of Linear Equations
Matrices. Special Matrices Matrix Addition and Subtraction Example.
Matrices and Systems of Equations
Chapter 2 Matrices Definition of a matrix.
Chapter 3 The Inverse. 3.1 Introduction Definition 1: The inverse of an n  n matrix A is an n  n matrix B having the property that AB = BA = I B is.
MATRICES. Matrices A matrix is a rectangular array of objects (usually numbers) arranged in m horizontal rows and n vertical columns. A matrix with m.
3.8 Matrices.
A matrix having a single row is called a row matrix. e.g.,
Chapter 1: Matrices Definition 1: A matrix is a rectangular array of numbers arranged in horizontal rows and vertical columns. EXAMPLE:
1.7 Diagonal, Triangular, and Symmetric Matrices 1.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
1 資訊科學數學 14 : Determinants & Inverses 陳光琦助理教授 (Kuang-Chi Chen)
Matrices & Determinants Chapter: 1 Matrices & Determinants.
Row 1 Row 2 Row 3 Row m Column 1Column 2Column 3 Column 4.
Determinants. If is a square matrix of order 1, then |A| = | a 11 | = a 11 If is a square matrix of order 2, then |A| = = a 11 a 22 – a 21 a 12.
Matrices. A matrix, A, is a rectangular collection of numbers. A matrix with “m” rows and “n” columns is said to have order m x n. Each entry, or element,
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.
Company LOGO Chapter 1: Matrix, Determinant, System of linear equations Module 1: Matrix Natural Science Department Example 1: The following rectangular.
If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.
Co. Chapter 3 Determinants Linear Algebra. Ch03_2 Let A be an n  n matrix and c be a nonzero scalar. (a)If then |B| = …….. (b)If then |B| = …..... (c)If.
The Determinant of a Matrix Note: The determinant of a matrix can be positive, zero, or negative. Chapter 3 Determinants.
Notes 7.2 – Matrices I. Matrices A.) Def. – A rectangular array of numbers. An m x n matrix is a matrix consisting of m rows and n columns. The element.
Meeting 18 Matrix Operations. Matrix If A is an m x n matrix - that is, a matrix with m rows and n columns – then the scalar entry in the i th row and.
Matrix Algebra Section 7.2. Review of order of matrices 2 rows, 3 columns Order is determined by: (# of rows) x (# of columns)
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.
Algebra Matrix Operations. Definition Matrix-A rectangular arrangement of numbers in rows and columns Dimensions- number of rows then columns Entries-
Matrices and Determinants
MATRICES Operations with Matrices Properties of Matrix Operations
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.
MATRIX A set of numbers arranged in rows and columns enclosed in round or square brackets is called a matrix. The order of a matrix gives the number of.
LEARNING OUTCOMES At the end of this topic, student should be able to :  D efination of matrix  Identify the different types of matrices such as rectangular,
12-2 MATRIX MULTIPLICATION MULTIPLY MATRICES BY USING SCALAR AND MATRIX MULTIPLICATION.
If A and B are both m × n matrices then the sum of A and B, denoted A + B, is a matrix obtained by adding corresponding elements of A and B. add these.
Matrices. Variety of engineering problems lead to the need to solve systems of linear equations matrixcolumn vectors.
Introduction Types of Matrices Operations
= y1y1 y2y2 y3y y 1 = = 14 xxx Calculate y 1 : ROW 1 Matrix-Vector multiplication.
Ch. 12 Vocabulary 1.) matrix 2.) element 3.) scalar 4.) scalar multiplication.
MATRICES A rectangular arrangement of elements is called matrix. Types of matrices: Null matrix: A matrix whose all elements are zero is called a null.
2.1 Matrix Operations 2. Matrix Algebra. j -th column i -th row Diagonal entries Diagonal matrix : a square matrix whose nondiagonal entries are zero.
CHAPTER 7 Determinant s. Outline - Permutation - Definition of the Determinant - Properties of Determinants - Evaluation of Determinants by Elementary.
4-2 Multiplying Matrices Warm Up Lesson Presentation Lesson Quiz
Matrices and Matrix Operations
nhaa/imk/sem /eqt101/rk12/32
MATRICES.
12-1 Organizing Data Using Matrices
L6 matrix operations.
Evaluating Determinants by Row Reduction
Section 7.4 Matrix Algebra.
Multiplying Matrices.
Matrix Algebra.
2. Matrix Algebra 2.1 Matrix Operations.
MATRICES Operations with Matrices Properties of Matrix Operations
Linear Algebra Lecture 18.
Multiplying Matrices.
Matrix Algebra.
3.6 Multiply Matrices.
Linear Algebra Lecture 11.
Multiplying Matrices.
3.5 Perform Basic Matrix Operations Algebra II.
Multiplying Matrices.
Matrices - Operations MULTIPLICATION OF MATRICES
Multiplying Matrices.
Matrices and Determinants
Presentation transcript:

Determinant of a Matrix

Determinant of a Matrix

Determinant of a Matrix

Properties of Determinants The determinant of a matrix and its transpose are equal, that is |AT| = |A|. If a matrix B results from a matrix A by interchanging two rows (columns) of A, then |B| = −|A|.

Properties of Determinants If two rows (columns) of a matrix A are equal, then |A| = 0. If a row (column) of a matrix A consists entirely of zeros, then |A| = 0.

Properties of Determinants If a matrix B is obtained from a matrix A by multiplying one row (column) of A by a number r , then |B| = r |A|. If a matrix B is obtained from a matrix A by adding a multiple of one row (column) of A to another row (column) of A, then |B| = |A|.

Properties of Determinants The determinant of an n×n upper (lower) triangular matrix is the product of its main diagonal entries. The determinant of an n×n diagonal matrix is the product of its main diagonal entries. |AB| = |A| |B |. |An| = |A|n If A is an n×n matrix and r is a scalar , then |r A| = r n |A|. A is nonsingular if and only if |A| ≠ 0.

Problems Example 1: Evaluate

Problems Example 2: If A and B are 5×5 matrices with |A| = 8 and |B| = 2. Find (i) |A2| (ii) |-A| (iii) |AT B -1| (iv) |2A-1B 4A|.

Problems Example 3: Answer each of the following as True or False. Justify your answer. (i) If A and B are n×n matrices, then |AB | = |BA|. (ii) If A and B are n×n matrices, then |A + B | = |A| + |B |. (iii) If A and B are n×n matrices such that AB2 = In , then A is nonsingular.

Problems Example 4: By reduction to triangular form, evaluate

Problems Example 5: