Nrite the given system of equations as a matrix equation and solve by using inverses. = k, 2x, + X2 - 4x, - X2 + X3 = k2 -X1 + X3 = k3

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Author:Erwin Kreyszig
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### Solving Systems of Linear Equations Using Matrix Inverses

To solve the given system of linear equations using matrix inverses, we first express the system in matrix form.

#### System of Equations

The given system of equations is:

\[ \begin{align}
2x_1 + x_2 & = k_1 \\
-4x_1 - x_2 + x_3 & = k_2 \\
-x_1 + x_3 & = k_3 \\
\end{align} \]

#### Matrix Form

We can represent this system in the form \( AX = B \), where:

\[ A = \begin{pmatrix} 
2 & 1 & 0 \\ 
-4 & -1 & 1 \\ 
-1 & 0 & 1 
\end{pmatrix}, \quad 
X = \begin{pmatrix} 
x_1 \\ 
x_2 \\ 
x_3 
\end{pmatrix}, \quad 
B = \begin{pmatrix} 
k_1 \\ 
k_2 \\ 
k_3 
\end{pmatrix} \]

Therefore, we can rewrite the system as:

\[ \begin{pmatrix} 
2 & 1 & 0 \\ 
-4 & -1 & 1 \\ 
-1 & 0 & 1 
\end{pmatrix} 
\begin{pmatrix} 
x_1 \\ 
x_2 \\ 
x_3 
\end{pmatrix} = 
\begin{pmatrix} 
k_1 \\ 
k_2 \\ 
k_3 
\end{pmatrix} \]

#### Solving Using Inverses

To find \( X \), we need to multiply both sides of the equation by the inverse of matrix \( A \):

\[ X = A^{-1}B \]

First, we need to compute the inverse of matrix \( A \), denoted as \( A^{-1} \). Once we have \( A^{-1} \), we can multiply it with \( B \) to find the values of \( x_1 \), \( x_2 \), and \( x_3 \).

#### Finding \( A^{-1} \)

Let us compute the inverse of \( A \):

\[ A^{-1} \begin{pmatrix} 
a & b & c \\ 
d &
Transcribed Image Text:### Solving Systems of Linear Equations Using Matrix Inverses To solve the given system of linear equations using matrix inverses, we first express the system in matrix form. #### System of Equations The given system of equations is: \[ \begin{align} 2x_1 + x_2 & = k_1 \\ -4x_1 - x_2 + x_3 & = k_2 \\ -x_1 + x_3 & = k_3 \\ \end{align} \] #### Matrix Form We can represent this system in the form \( AX = B \), where: \[ A = \begin{pmatrix} 2 & 1 & 0 \\ -4 & -1 & 1 \\ -1 & 0 & 1 \end{pmatrix}, \quad X = \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix}, \quad B = \begin{pmatrix} k_1 \\ k_2 \\ k_3 \end{pmatrix} \] Therefore, we can rewrite the system as: \[ \begin{pmatrix} 2 & 1 & 0 \\ -4 & -1 & 1 \\ -1 & 0 & 1 \end{pmatrix} \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} k_1 \\ k_2 \\ k_3 \end{pmatrix} \] #### Solving Using Inverses To find \( X \), we need to multiply both sides of the equation by the inverse of matrix \( A \): \[ X = A^{-1}B \] First, we need to compute the inverse of matrix \( A \), denoted as \( A^{-1} \). Once we have \( A^{-1} \), we can multiply it with \( B \) to find the values of \( x_1 \), \( x_2 \), and \( x_3 \). #### Finding \( A^{-1} \) Let us compute the inverse of \( A \): \[ A^{-1} \begin{pmatrix} a & b & c \\ d &
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