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Summary COMPUTATIONAL MATHEMATICS ( MMEC511 ) ( MCMT511 ) - SOL PLAATJE MATRIX LECTURE NOTES

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COMPUTATIONAL MATHEMATICS ( MMEC511 ) ( MCMT511 ) - SOL PLAATJE MATRIX LECTURE Definition and representation of matrices Matrix operations (addition, subtraction, scalar multiplication) Matrix multiplication Transpose of a matrix Special matrices (identity matrix, zero matrix) Inverse of a matrix (if exists) Definition and properties of determinants Calculation of determinants for 2x2 and 3x3 matrices Cofactor expansion Conditions for the existence of inverse Finding the inverse of a matrix Properties of matrix inverses Applications of matrix inverses System of linear equations Matrix representation of linear systems Augmented matrices and row-echelon form Gauss elimination method Matrix inversion method Cramer's rule Matrices • Matrix Algebra • Matrix Operations • Determinants • Matrix Inverses Understand the basic concepts of matrices and their representation. Perform matrix operations and understand their properties. Demonstrate proficiency in matrix multiplication. Calculate the transpose of a matrix and identify special matrices. Determine the inverse of a matrix when it exists. Define determinants and understand their properties. Calculate determinants for 2x2 and 3x3 matrices. Apply cofactor expansion to find determinants. Use determinants in solving systems of linear equations. Identify conditions for the existence of inverses. Find the inverse of a matrix. Apply matrix inverses in solving linear systems and other applications. Formulate systems of linear equations from real-world problems. Represent linear systems using matrices and augmented matrices. Solve linear systems using various methods (Gauss elimination, matrix inversion).

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(Section 8.1: Matrices and Determinants) 8.01

CHAPTER 8: MATRICES and DETERMINANTS

The material in this chapter will be covered in your Linear Algebra class (Math 254 at Mesa).


SECTION 8.1: MATRICES and SYSTEMS OF EQUATIONS

PART A: MATRICES

A matrix is basically an organized box (or “array”) of numbers (or other expressions).
In this chapter, we will typically assume that our matrices contain only numbers.


Example

Here is a matrix of size 2  3 (“2 by 3”), because it has 2 rows and 3 columns:

1 0 2 
 
0 1 5 

The matrix consists of 6 entries or elements.


In general, an m  n matrix has m rows and n columns and has mn entries.


Example

Here is a matrix of size 2  2 (an order 2 square matrix):

 4 1
 
3 2 

The boldfaced entries lie on the main diagonal of the matrix.
(The other diagonal is the skew diagonal.)

, (Section 8.1: Matrices and Determinants) 8.02

PART B: THE AUGMENTED MATRIX FOR A SYSTEM OF LINEAR EQUATIONS

Example

3x + 2 y + z = 0
Write the augmented matrix for the system: 
 2x  z = 3

Solution

Preliminaries:

Make sure that the equations are in (what we refer to now as)
standard form, meaning that …

• All of the variable terms are on the left side (with x, y, and z
ordered alphabetically), and

• There is only one constant term, and it is on the right side.

Line up like terms vertically.

Here, we will rewrite the system as follows:

 3x + 2 y + z = 0

 2x z=3

(Optional) Insert “1”s and “0”s to clarify coefficients.

 3x + 2 y + 1z = 0

 2x + 0 y  1z = 3

Warning: Although this step is not necessary, people often
mistake the coefficients on the z terms for “0”s.

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