In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists.
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7. Systems of Equations & Matrices
Introduction to Matrices
Problem 15
Textbook Question
In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists. {2x+y−z=23x+3y−2z=3
Verified step by step guidance1
Write the system of equations as an augmented matrix:
\[\left[\begin{array}{ccc|c} 2 & 1 & -1 & 2 \\ 3 & 3 & -2 & 3 \end{array}\right]\]
Use row operations to create a leading 1 in the first row, first column. For example, divide the first row by 2:
\[R_1 \to \frac{1}{2} R_1\]
Eliminate the x-term in the second row by replacing the second row with \( R_2 - 3 \times R_1 \):
\[R_2 \to R_2 - 3R_1\]
Simplify the second row to get a new equation involving only y and z. Then, if possible, create a leading 1 in the second row, second column by dividing the second row by the coefficient of y.
Use back substitution to express variables in terms of each other or constants, and write the solution set accordingly.
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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 solve by back substitution or to determine if no solution exists.
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Consistency and Types of Solutions
A system of linear equations can have a unique solution, infinitely many solutions, or no solution. Recognizing the system's consistency involves analyzing the row-echelon form for contradictions or free variables, which helps determine the nature of the solution set.
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