key term - System of Linear Equations

Definition

A system of linear equations is a collection of two or more linear equations that share the same set of variables. These equations must be solved simultaneously to find the values of the variables that satisfy all the equations in the system.

5 Must Know Facts For Your Next Test

1. A system of linear equations can have one unique solution, no solution, or infinitely many solutions.
2. The number of solutions to a system of linear equations depends on the number of equations and the number of variables.
3. Graphically, a system of linear equations can be represented by a set of intersecting lines, where the point of intersection represents the solution to the system.
4. The augmented matrix representation of a system of linear equations can be used to solve the system using various methods, such as row reduction or Gaussian elimination.
5. The elimination method involves adding or subtracting multiples of one equation from another to eliminate a variable, leading to a simpler system that can be solved more easily.

Review Questions

• Explain the relationship between the number of equations, the number of variables, and the number of solutions in a system of linear equations.
  • The number of solutions to a system of linear equations is determined by the relationship between the number of equations and the number of variables. If the number of equations is equal to the number of variables, the system will have a unique solution. If the number of equations is less than the number of variables, the system will have infinitely many solutions. If the number of equations is greater than the number of variables, the system may have no solution, a unique solution, or infinitely many solutions, depending on the specific coefficients and constants in the equations.
• Describe the process of using the augmented matrix to solve a system of linear equations.
  • To solve a system of linear equations using the augmented matrix, the matrix is first constructed by placing the coefficients of the variables in the left part and the constants in the right part, separated by a vertical line. Then, row reduction techniques, such as Gaussian elimination, are applied to the augmented matrix to transform it into an upper triangular form. This allows the variables to be solved one by one, starting from the last equation, until the complete solution to the system is found.
• Analyze the steps involved in the elimination method for solving a system of linear equations, and explain how it helps simplify the system.
  • The elimination method for solving a system of linear equations involves strategically adding or subtracting multiples of one equation from another to eliminate a variable. This process reduces the number of variables in the system, making it easier to solve. By eliminating one variable at a time, the system is transformed into a simpler form that can be solved more efficiently. The key steps in the elimination method are: (1) Identify the variable to be eliminated, (2) Multiply one or more equations by a constant to make the coefficients of the variable to be eliminated equal, (3) Add or subtract the equations to eliminate the variable, and (4) Repeat the process until the system is reduced to a single equation that can be solved for the remaining variable.

Related terms

Linear Equation:

A linear equation is an equation that can be written in the form $ax + by = c$, where $a$, $b$, and $c$ are real numbers and $x$ and $y$ are variables.

Augmented Matrix:

An augmented matrix is a matrix that represents a system of linear equations, where the coefficients of the variables are in the left part of the matrix, and the constants are in the right part, separated by a vertical line.

Elimination Method:

The elimination method is a technique used to solve a system of linear equations by eliminating one of the variables, allowing the other variable to be solved for.