# 3: Solving Systems of Equations

- Page ID
- 42492

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In this chapter, you will learn to:

- Use graphs, substitution, and elimination to solve systems of equations
- Represent data in matrices
- Use Gaussian Elimination to solve systems of equations
- Use Matrix Inverses to solve systems of equations
- Apply systems of equations

- 3.1: Solving Systems with Algebra
- A system of linear equations consists of two or more linear equations made up of two or more variables such that all equations in the system are considered simultaneously. Systems are helpful for us to determine relationships between supply, demand, revenue, cost, and profit.

- 3.2: Matrices and Matrix Operations
- To solve a systems of equations, we can use a matrix, which is a rectangular array of numbers. A row in a matrix is a set of numbers that are aligned horizontally. A column in a matrix is a set of numbers that are aligned vertically. Each number is an entry, sometimes called an element, of the matrix. Matrices (plural) are enclosed in [ ] or ( ), and are usually named with capital letters.

- 3.3: Solving Systems with Gauss-Jordan Elimination
- A matrix can serve as a device for representing and solving a system of equations. To express a system in matrix form, we extract the coefficients of the variables and the constants, and these become the entries of the matrix. We use a vertical line to separate the coefficient entries from the constants, essentially replacing the equal signs. When a system is written in this form, we call it an augmented matrix.

- 3.4: Solving Systems with Inverses
- A matrix that has a multiplicative inverse is called an invertible matrix. Only a square matrix may have a multiplicative inverse, as reversibility is a requirement. Not all square matrices have an inverse. We will look at two methods for finding the inverse of a 2×2 matrix and a third method that can be used on both 2×2 and 3×3 matrices.