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
6:08 minutes
Problem 21g
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. w + x - y + z = - 2 2w - x + 2y - z = 7 - w + 2x + y + 2z = - 1
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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 essential for determining whether a unique solution exists, or if the system is inconsistent or has infinitely many solutions.
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Row Operations
Row operations are the fundamental manipulations applied to the rows of a matrix during Gaussian elimination. There are three types of row operations: swapping two rows, multiplying a row by a non-zero scalar, and adding or subtracting a multiple of one row from another. These operations help in simplifying the matrix while preserving the solution set of the system of equations, making it easier to analyze the relationships between the variables.
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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 column of constants to the coefficient matrix. The augmented matrix is crucial in the Gaussian elimination process, as it allows for a compact representation of the system, facilitating the application of row operations to find solutions or determine the system's consistency.
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