Find the partial fraction decomposition for each rational expression. 5-2x / (x2 + 2)(x - 1)
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7. Systems of Equations & Matrices
Introduction to Matrices
Problem 17
Textbook Question
In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists. {x+2y+3z=5y−5z=0
Verified step by step guidance1
Write the system of equations in augmented matrix form. For the system:
\(x + 2y + 3z = 5\)
\$0x + y - 5z = 0$, the augmented matrix is:
\[\left[\begin{array}{ccc|c} 1 & 2 & 3 & 5 \\ 0 & 1 & -5 & 0 \end{array}\right]\]
Use Gaussian elimination to get the matrix into row-echelon form. The first row already has a leading 1 in the first column. The second row has a leading 1 in the second column, so the matrix is already in row-echelon form.
Express the system back into equations from the row-echelon form:
Row 1: \(x + 2y + 3z = 5\)
Row 2: \(y - 5z = 0\)
From the second equation, solve for \(y\) in terms of \(z\):
\(y = 5z\)
Substitute \(y = 5z\) into the first equation to express \(x\) in terms of \(z\):
\(x + 2(5z) + 3z = 5\)
Simplify and solve for \(x\) in terms of \(z\).
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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 two or more linear equations involving the same set of variables. The goal is to find values for the 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 find solutions or determine if none exist.
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Row Operations and Row-Echelon Form
Row operations include swapping rows, multiplying a row by a nonzero scalar, and adding multiples of one row to another. These operations are used to convert the augmented matrix into row-echelon form, where the system can be solved by back-substitution to find the complete solution set.
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