Table of contents
- 0. Review of Algebra4h 16m
- 1. Equations & Inequalities3h 18m
- 2. Graphs of Equations43m
- 3. Functions2h 17m
- 4. Polynomial Functions1h 44m
- 5. Rational Functions1h 23m
- 6. Exponential & Logarithmic Functions2h 28m
- 7. Systems of Equations & Matrices4h 6m
- 8. Conic Sections2h 23m
- 9. Sequences, Series, & Induction1h 19m
- 10. Combinatorics & Probability1h 45m
7. Systems of Equations & Matrices
Introduction to Matrices
4:58 minutes
Problem 9j
Textbook Question
Textbook QuestionIn Exercises 8–11, use Gaussian elimination to find the complete solution to each system, or show that none exists.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Gaussian Elimination
Gaussian elimination is a method for solving systems of linear equations. It involves transforming the system's augmented matrix into row echelon form using a series of row operations, which include swapping rows, multiplying a row by a non-zero scalar, and adding or subtracting rows. This process simplifies the system, making it easier to find solutions or determine if no solution exists.
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Row Echelon Form
Row echelon form is a specific arrangement of a matrix where all non-zero rows are above any rows of all zeros, and the leading coefficient of each non-zero row (the first non-zero number from the left) is to the right of the leading coefficient of the previous row. This form is crucial in Gaussian elimination as it allows for back substitution to find the values of the variables in a system of equations.
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Existence of Solutions
The existence of solutions in a system of linear equations can be determined through the rank of the coefficient matrix and the augmented matrix. If the rank of both matrices is equal and less than or equal to the number of variables, the system has at least one solution. If the ranks differ, the system has no solution, indicating inconsistency among the equations.
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