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
8:25 minutes
Problem 7f
Textbook Question
Textbook QuestionIn Exercises 1 - 24, use Gaussian Eliminaion to find the complete solution to each system of equations, or show that none exists. 8x + 5y + 11z = 30 - x - 4y + 2z = 3 2x - y + 5z = 12
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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 simplifies the equations. Once in this form, back substitution can be used to find the values of the variables. This technique is fundamental for determining whether a unique solution, infinitely many solutions, or no solution exists.
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Row Operations
Row operations are the basic manipulations applied to the rows of a matrix during Gaussian elimination. These include swapping two rows, multiplying a row by a non-zero scalar, and adding or subtracting a multiple of one row to another. Understanding these operations is crucial, as they maintain the equivalence of the system while simplifying it, allowing for easier identification of solutions.
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Augmented Matrix
An augmented matrix is a matrix that represents a system of linear equations, including the coefficients of the variables and the constants from the equations. It is formed by appending the constant terms as an additional column to the coefficient matrix. This representation is essential for applying Gaussian elimination, as it allows for a systematic approach to solving the equations and analyzing the solution set.
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