Find the partial fraction decomposition for each rational expression. See Examples 1–4. (-x4 - 8x2 + 3x - 10)/((x + 2)(x2 + 4)2)
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7. Systems of Equations & Matrices
Introduction to Matrices
Problem 23
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+2x+3y−z=72x−3y+z=4w−4x+y=3
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Write the system of equations as an augmented matrix. The system is:
\(\begin{cases} w + 2x + 3y - z = 7 \\ 0w + 2x - 3y + z = 4 \\ w - 4x + y + 0z = 3 \end{cases}\)
So the augmented matrix is:
\(\left[ \begin{array}{cccc|c} 1 & 2 & 3 & -1 & 7 \\ 0 & 2 & -3 & 1 & 4 \\ 1 & -4 & 1 & 0 & 3 \end{array} \right]\)
Use row operations to create zeros below the leading 1 in the first column. Specifically, subtract Row 1 from Row 3 to eliminate the \(w\) term in Row 3:
\(R_3 \leftarrow R_3 - R_1\)
Next, focus on the second column. Use the second row to create a leading 1 if necessary, and then eliminate the \(x\) term in the third row by appropriate row operations. This will help in forming an upper triangular matrix.
Continue applying Gaussian elimination steps to get the matrix into row echelon form, where each leading coefficient is 1 and all entries below each leading 1 are zero. This may involve scaling rows and adding multiples of one row to another.
Once in row echelon form, use back substitution to express the variables \(w\), \(x\), \(y\), and \(z\) in terms of constants or parameters if there are free variables, thus finding the complete solution to the system.
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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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Consistency and Solution Types of Systems
A system of linear equations can be consistent (having at least one solution) or inconsistent (no solution). Consistent systems may have a unique solution or infinitely many solutions. Recognizing these outcomes during Gaussian elimination helps interpret the results correctly.
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