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Definitions and examples for systems of linear equations, including determining the coefficient matrix and augmented matrix, solving systems using elimination method, and understanding the geometric representation of solutions. Additionally, it covers the concept of row equivalence and discusses the number of solutions a linear system may take on.
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Math 261 Section 1.1 Systems of Linear Equations
Definition: A linear equation in the variables x 1 , ..., xn is an equation that can be written in the form
a 1 x 1 + a 2 x 2 + · · · + anxn = b
Definition: A system of linear equations is a collection of one or more linear equations involving the same variables. In other words, it’s just a list of linear equations.
Definition: A solution to a system of linear equations is a list of numbers, usually notated (s 1 , s 2 ,... , sn) or 〈s 1 , s 2 ,... , sn〉 and usually referred to as a point or vector depending on the context, which satisfies all of the equations in the system.
x 1 − 2 x 2 + x 3 = 0 2 x 2 − 8 x 3 = 8 5 x 1 − 5 x 3 = 10
Determine the coefficient matrix and the augmented matrix and then solve the system using the elimination method, showing the system of equation manipulation and matrix manipulation side by side. What do each of these equations represent and what does the solution to the system represent geometrically?
x 1 − 5 x 2 + 4x 3 = − 3 2 x 1 − 7 x 2 + 3x 3 = − 2 − 2 x 1 + x 2 + 7x 3 = − 1
2 x 1 − x 2 = h − 6 x 1 + 3x 2 = k