Download presentation

Presentation is loading. Please wait.

Published byJob Poole Modified over 6 years ago

1
Section 1.1 Introduction to Systems of Linear Equations

2
LINEAR EQUATION A linear equation is an equation with variables to the first power only. EXAMPLES: 1.2x + 5y = 3 2.x 1 + 3x 2 − 2x 3 = 12 A solution to a linear equation is a set of numbers that makes the equation true. These may involve parameters.

3
SYSTEMS OF LINEAR EQUATIONS A system of linear equations is a set of at least two of linear equations. We look for a solution that makes all equations true at the same time. Example: Note that x 1 = −1, x 2 = 0, and x 3 = 3 is a solution. The solution could also be expressed as (−1, 0, 3).

4
SOLUTIONS TO A SYSTEM If a system of equations has no solution, then it is called inconsistent. If a system of equations has at least one solution, then it is called consistent. Every system of equations has either no solution, exactly one solution, or infinitely many solutions.

5
MATRICES A matrix is a rectangular array (or table) of numbers. EXAMPLE:

6
An augmented matrix can be used to write a system of equations. The system can be written as AUGMENTED MATRICES

7
ELEMENTARY ROW OPERATIONS The same operations we perform on a system of linear equations we can also perform on an augmented matrix. These operations are called elementary row operations.

8
ELEMENTARY ROW OPERATIONS (CONCLUDED) System of EquationsMatrix 1.Multiply an equation by a nonzero constant 1.Multiply a row by a nonzero constant 2.Interchange two equations 2.Interchange two rows 3.Add a multiple of one equation to another 3.Add a multiple of one row to another row

9
A USE FOR ROW OPERATIONS Elementary row operations can be used to solve systems of equations.

Similar presentations

© 2021 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google