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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 27

Solve each system of equations using matrices. Use Gaussian elimination with back-substitution or Gauss-Jordan elimination.
{x+y+z=4xyz=0xy+z=2\(\begin{cases}\)x + y + z = 4 \(\x\) - y - z = 0 \(\x\) - y + z = 2\(\end{cases}\)

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Write the system of equations as an augmented matrix. For the system \( \begin{cases} x + y + z = 4 \\ x - y - z = 0 \\ x - y + z = 2 \end{cases} \), the augmented matrix is: \[ \left[\begin{array}{ccc|c} 1 & 1 & 1 & 4 \\ 1 & -1 & -1 & 0 \\ 1 & -1 & 1 & 2 \end{array}\right] \]
Use Gaussian elimination to create zeros below the first pivot (the element in the first row, first column). Subtract the first row from the second and third rows: - Row 2 = Row 2 - Row 1 - Row 3 = Row 3 - Row 1
After these row operations, the matrix will have zeros in the first column below the pivot. Next, focus on the second row and use it to create a zero below its pivot (second row, second column) by manipulating the third row accordingly.
Once the matrix is in upper triangular form (all zeros below the main diagonal), use back-substitution to solve for the variables starting from the last row upwards.
Alternatively, you can continue with Gauss-Jordan elimination by creating zeros above and below each pivot to get the matrix into reduced row echelon form, from which the solutions for \(x\), \(y\), and \(z\) can be read directly.

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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 multiple 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 matrix methods.
추천 영상:
가이드 코스
4:27
Introduction to Systems of Linear Equations

Gaussian Elimination with Back-Substitution

Gaussian elimination transforms a system's augmented matrix into an upper triangular form using row operations. Once in this form, back-substitution solves for variables starting from the last equation upward. This method systematically reduces complexity to find the solution.
추천 영상:
가이드 코스
5:48
Solving Systems of Equations - Substitution

Gauss-Jordan Elimination

Gauss-Jordan elimination extends Gaussian elimination by further reducing the matrix to reduced row echelon form, where each leading variable is isolated. This method allows direct reading of solutions without back-substitution, providing a straightforward approach to solving systems.
추천 영상:
가이드 코스
6:48
Solving Systems of Equations - Elimination