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Ch. 6 - Matrices and Determinants
Blitzer - College Algebra 8th Edition
Blitzer8th EditionCollege AlgebraISBN: 9780136970514당신이 사용하는 게 아니라요?교과서 변경
7장, 문제 19

In Exercises 1 - 24, use Gaussian Elimination to find the complete solution to each system of equations, or show that none exists. {x+y2z=23xy6z=7\(\begin{cases}\) x + y - 2z = 2 \\ 3x - y - 6z = -7 \(\end{cases}\)

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1
Write the system of equations as an augmented matrix: \[\left[\begin{array}{ccc|c} 1 & 1 & -2 & 2 \\ 3 & -1 & -6 & -7 \end{array}\right]\]
Use the first row to eliminate the \(x\)-term in the second row. Multiply the first row by 3 and subtract it from the second row: \[R_2 \rightarrow R_2 - 3R_1\]
Perform the row operation to get the new second row: \[\left[\begin{array}{ccc|c} 1 & 1 & -2 & 2 \\ 0 & -4 & 0 & -13 \end{array}\right]\]
Solve the second equation for \(y\) by dividing the entire second row by the coefficient of \(y\): \[y = \frac{-13}{-4} = \frac{13}{4}\]
Substitute the value of \(y\) back into the first equation to solve for \(x\) in terms of \(z\): \[x + \frac{13}{4} - 2z = 2\] Then isolate \(x\) to express it as \[x = 2 - \frac{13}{4} + 2z\]

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주요 개념

질문에 올바르게 답하기 위해 반드시 이해해야 하는 핵심 개념들은 다음과 같습니다.

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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Introduction to Systems of Linear Equations

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.
추천 영상:
6:48
Solving Systems of Equations - Elimination

Row Operations and Consistency of Systems

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 at least one solution) or inconsistent (no solution). Recognizing inconsistent rows is key to concluding no solution exists.
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Performing Row Operations on Matrices