Advanced Engineering Mathematics
Advanced Engineering Mathematics
10th Edition
ISBN: 9780470458365
Author: Erwin Kreyszig
Publisher: Wiley, John & Sons, Incorporated
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**Problem Statement:**

Find the production schedule for the technology matrix and demand vector given below:

\[
A = \begin{bmatrix} 
0.4 & 0.1 & 0 \\ 
0.4 & 0.6 & 0.8 \\
0.1 & 0.3 & 0.2 
\end{bmatrix}, \quad 
D = \begin{bmatrix} 
5 \\ 
8 \\ 
3 
\end{bmatrix}
\]

\[
X = \begin{bmatrix} 
□ \\ 
□ \\ 
□ 
\end{bmatrix}
\]

**Explanation:**

- The matrix \( A \) is the technology matrix that represents the input-output coefficients for a production model. It is a 3x3 matrix where each element describes the proportion of resources from one sector needed to produce a unit of output in another sector.

- The vector \( D \) is the demand vector, which indicates the external demand for products from each sector. It is a 3x1 matrix.

- The vector \( X \) represents the production schedule needed to meet the external demand and internal technological requirements. It is the solution to the equation \( X = (I - A)^{-1} D \), where \( I \) is the identity matrix.
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Transcribed Image Text:**Problem Statement:** Find the production schedule for the technology matrix and demand vector given below: \[ A = \begin{bmatrix} 0.4 & 0.1 & 0 \\ 0.4 & 0.6 & 0.8 \\ 0.1 & 0.3 & 0.2 \end{bmatrix}, \quad D = \begin{bmatrix} 5 \\ 8 \\ 3 \end{bmatrix} \] \[ X = \begin{bmatrix} □ \\ □ \\ □ \end{bmatrix} \] **Explanation:** - The matrix \( A \) is the technology matrix that represents the input-output coefficients for a production model. It is a 3x3 matrix where each element describes the proportion of resources from one sector needed to produce a unit of output in another sector. - The vector \( D \) is the demand vector, which indicates the external demand for products from each sector. It is a 3x1 matrix. - The vector \( X \) represents the production schedule needed to meet the external demand and internal technological requirements. It is the solution to the equation \( X = (I - A)^{-1} D \), where \( I \) is the identity matrix.
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