Section 1.1 Introduction to Systems of Linear Equations.

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Presentation transcript:

Section 1.1 Introduction to Systems of Linear Equations

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.

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).

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.

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

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

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.

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

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