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Sagot :
To solve the system of linear equations represented by the augmented matrix
[tex]\[ \begin{pmatrix} 1 & -3 & -1 & 400 \\ -3 & 10 & 3 & 300 \\ 0 & 6 & 1 & 150 \end{pmatrix} \][/tex]
we can follow these steps:
1. Extract the coefficient matrix [tex]\(A\)[/tex] and the constant matrix [tex]\(B\)[/tex]:
The augmented matrix can be split into a coefficient matrix [tex]\(A\)[/tex] and a constants column vector [tex]\(B\)[/tex].
[tex]\[ A = \begin{pmatrix} 1 & -3 & -1 \\ -3 & 10 & 3 \\ 0 & 6 & 1 \end{pmatrix} \][/tex]
[tex]\[ B = \begin{pmatrix} 400 \\ 300 \\ 150 \end{pmatrix} \][/tex]
2. Solve the system of equations [tex]\(A \mathbf{x} = B\)[/tex]:
To find the solution vector [tex]\( \mathbf{x} \)[/tex], we need to solve the matrix equation [tex]\(A \mathbf{x} = B\)[/tex]. This can be done using a variety of mathematical methods such as Gaussian elimination, matrix inversion, or more practically using linear algebra techniques.
Given the information provided, the solution to this system is:
[tex]\[ \mathbf{x} = \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} -3950 \\ 1500 \\ -8850 \end{pmatrix} \][/tex]
So, we have:
[tex]\[ x_1 = -3950, \quad x_2 = 1500, \quad x_3 = -8850 \][/tex]
This means that the solution to the system of equations is:
- [tex]\( x_1 = -3950 \)[/tex]
- [tex]\( x_2 = 1500 \)[/tex]
- [tex]\( x_3 = -8850 \)[/tex]
Therefore, the values that satisfy all three equations are:
[tex]\[ \begin{cases} 1 \cdot (-3950) - 3 \cdot 1500 - 1 \cdot (-8850) = 400 \\ -3 \cdot (-3950) + 10 \cdot 1500 + 3 \cdot (-8850) = 300 \\ 0 \cdot (-3950) + 6 \cdot 1500 + 1 \cdot (-8850) = 150 \end{cases} \][/tex]
[tex]\[ \begin{pmatrix} 1 & -3 & -1 & 400 \\ -3 & 10 & 3 & 300 \\ 0 & 6 & 1 & 150 \end{pmatrix} \][/tex]
we can follow these steps:
1. Extract the coefficient matrix [tex]\(A\)[/tex] and the constant matrix [tex]\(B\)[/tex]:
The augmented matrix can be split into a coefficient matrix [tex]\(A\)[/tex] and a constants column vector [tex]\(B\)[/tex].
[tex]\[ A = \begin{pmatrix} 1 & -3 & -1 \\ -3 & 10 & 3 \\ 0 & 6 & 1 \end{pmatrix} \][/tex]
[tex]\[ B = \begin{pmatrix} 400 \\ 300 \\ 150 \end{pmatrix} \][/tex]
2. Solve the system of equations [tex]\(A \mathbf{x} = B\)[/tex]:
To find the solution vector [tex]\( \mathbf{x} \)[/tex], we need to solve the matrix equation [tex]\(A \mathbf{x} = B\)[/tex]. This can be done using a variety of mathematical methods such as Gaussian elimination, matrix inversion, or more practically using linear algebra techniques.
Given the information provided, the solution to this system is:
[tex]\[ \mathbf{x} = \begin{pmatrix} x_1 \\ x_2 \\ x_3 \end{pmatrix} = \begin{pmatrix} -3950 \\ 1500 \\ -8850 \end{pmatrix} \][/tex]
So, we have:
[tex]\[ x_1 = -3950, \quad x_2 = 1500, \quad x_3 = -8850 \][/tex]
This means that the solution to the system of equations is:
- [tex]\( x_1 = -3950 \)[/tex]
- [tex]\( x_2 = 1500 \)[/tex]
- [tex]\( x_3 = -8850 \)[/tex]
Therefore, the values that satisfy all three equations are:
[tex]\[ \begin{cases} 1 \cdot (-3950) - 3 \cdot 1500 - 1 \cdot (-8850) = 400 \\ -3 \cdot (-3950) + 10 \cdot 1500 + 3 \cdot (-8850) = 300 \\ 0 \cdot (-3950) + 6 \cdot 1500 + 1 \cdot (-8850) = 150 \end{cases} \][/tex]
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