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Ch. 6 - Matrices and Determinants
Blitzer - College Algebra 8th Edition
Blitzer8th EditionCollege AlgebraISBN: 9780136970514Non è quello che usi tu?Cambia libro di testo
Capitolo 7, Problema 17

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\(\begin{cases}\) x + 2y + 3z = 5 \\ y - 5z = 0 \(\end{cases}\)

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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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Systems of Linear Equations

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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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Use the fact that if A=[abcd]A=\(\begin{bmatrix}\)a & b\\ c & d\(\end{bmatrix}\), then A−1=1ad−bc[d−b−ca]A^{-1}=\(\frac{1}{ad-bc}\)\(\begin{bmatrix}\)d & -b\\ -c & a\(\end{bmatrix}\) to find the inverse of each matrix, if possible. Check that AA−1=I2AA^{-1} = I_2 and A−1A=I2A^{-1}A = I_2.

A=[10−2−51]A = \(\begin{bmatrix}\) 10 & -2 \\ -5 & 1 \(\end{bmatrix}\)

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Perform each matrix row operation and write the new matrix.

[1−111∣301−2−1∣02034∣115124∣6]−2R1+R3−5R1+R4\(\begin{bmatrix}\) 1 & -1 & 1 & 1 & \(\vert\) & 3 \\ 0 & 1 & -2 & -1 & \(\vert\) & 0 \\ 2 & 0 & 3 & 4 & \(\vert\) & 11 \\ 5 & 1 & 2 & 4 & \(\vert\) & 6 \(\end{bmatrix}\) \(\quad\) \(\begin{array}{l}\) -2R_1 + R_3 \\ -5R_1 + R_4 \(\end{array}\)

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