9: Systems of Equations and Inequalities
- Page ID
- 119184
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- 9.1: Systems of Linear Equations - Gaussian Elimination
- Up until now, when we concerned ourselves with solving different types of equations there was only one equation to solve at a time. Given an equation 𝑓(𝑥)=𝑔(𝑥) f ( x ) = g ( x ) , we could check our solutions geometrically by finding where the graphs of 𝑦=𝑓(𝑥) y = f ( x ) and 𝑦=𝑔(𝑥) y = g ( x ) intersect. The 𝑥 x -coordinates of these intersection points correspond to the solutions to the equation 𝑓(𝑥)=𝑔(𝑥) f ( x ) = g ( x ) , and the 𝑦 y -coordinates were largely ignored.
- 9.2: Systems of Linear Equations - Augmented Matrices
- We previously introduced Gaussian Elimination as a means of transforming a system of linear equations into triangular form with the ultimate goal of producing an equivalent system of linear equations which is easier to solve. If we study the process, we see that all of our moves are determined entirely by the coefficients of the variables involved, and not the variables themselves. In this section, we introduce a bookkeeping device to help us solve systems of linear equations.
- 9.3: Systems of Non-Linear Equations and Inequalities
- In this section, we study systems of non-linear equations and inequalities. Unlike the systems of linear equations for which we have developed several algorithmic solution techniques, there is no general algorithm to solve systems of non-linear equations. Moreover, all of the usual hazards of non-linear equations like extraneous solutions and unusual function domains are once again present. Along with the tried and true techniques of substitution and elimination, we shall often need equal parts