Find the partial fraction decomposition for each rational expression. See Examples 1–4. (x2)/(x4 - 1)
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7. Systems of Equations & Matrices
Introduction to Matrices
Problem 21
Textbook Question
In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists. ⎩⎨⎧w+x−y+z=−22w−x+2y−z=7−w+2x+y+2z=−1
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Write the system of equations as an augmented matrix. The system is:
\(\begin{cases} w + x - y + z = -2 \\ 2w - x + 2y - z = 7 \\ -w + 2x + y + 2z = -1 \end{cases}\)
The augmented matrix is:
\(\left[ \begin{array}{cccc|c} 1 & 1 & -1 & 1 & -2 \\ 2 & -1 & 2 & -1 & 7 \\ -1 & 2 & 1 & 2 & -1 \end{array} \right]\)
Use row operations to create zeros below the leading 1 in the first column (pivot position). Specifically:
- Replace Row 2 with Row 2 minus 2 times Row 1.
- Replace Row 3 with Row 3 plus Row 1.
This will help in forming an upper triangular matrix.
Next, focus on the second row and second column to create a leading 1 (if necessary) and then eliminate the entry below it in the third row. Use appropriate row operations such as scaling and adding multiples of rows to each other.
After obtaining an upper triangular matrix, use back substitution to express variables in terms of each other or constants. This involves solving the last equation for one variable, then substituting back into the previous equations.
Write the solution set clearly, indicating if there are free variables (parameters) or a unique solution. If any inconsistency arises (like a row with all zeros except the augmented part), conclude that no solution exists.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Systems of Linear Equations
A system of linear equations consists of multiple linear equations involving the same set of variables. The goal is to find values for these variables that satisfy all equations simultaneously. Understanding how to represent and interpret these systems is fundamental before applying solution methods.
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Gaussian Elimination
Gaussian elimination is a systematic method for solving systems of linear equations by transforming the system's augmented matrix into row-echelon form using row operations. This process simplifies the system, making it easier to solve through back-substitution or to determine if no solution exists.
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Row Operations and Consistency
Row operations include swapping rows, multiplying a row by a nonzero scalar, and adding multiples of one row to another. These operations preserve the solution set and help identify if the system is consistent (has solutions) or inconsistent (no solutions). Recognizing inconsistent rows is key to concluding no solution exists.
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