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Let C and d be as in Exercise 5.

  1. Determine the production level necessary to satisfy a final demand for 1 unit of output from sector 1.
  2. Use an inverse matrix to determine the production level necessary to satisfy a final demand of \(\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right]\).
  3. Use the fact that \(\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right] = \left[ {\begin{array}{*{20}{c}}{50}\\{30}\end{array}} \right] + \left[ {\begin{array}{*{20}{c}}1\\0\end{array}} \right]\) to explain how and why the answers to parts (a) and (b) and to Exercise 5 are related.

Short Answer

Expert verified
  1. The production level necessary to satisfy the final demandfor 1 unit of output from sector 1 is \({x_1} = \left[ {\begin{array}{*{20}{c}}{1.6}\\{1.2}\end{array}} \right]\).
  2. The production level necessary to satisfy a final demand of \(\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right]\) is \({x_2} = \left[ {\begin{array}{*{20}{c}}{111.6}\\{121.2}\end{array}} \right]\).
  3. The relation of parts (a) and (b) and Exercise 5 is \({{\mathop{\rm x}\nolimits} _2} = x + {x_1}\).

Step by step solution

01

The value of C and d

Consider the production model \[x = Cx + {\mathop{\rm d}\nolimits} \] for an economy with two sectors, where \(C = \left[ {\begin{array}{*{20}{c}}{.0}&{.5}\\{.6}&{.2}\end{array}} \right],\,{\mathop{\rm d}\nolimits} = \left[ {\begin{array}{*{20}{c}}{50}\\{30}\end{array}} \right]\).

02

Determine the production level

(a)

Theorem 11 states that C is the consumption matrix for an economy. Let d be the final demand. If C and d have non-negative entries and each column sum of C is less than 1, then \({\left( {I - C} \right)^{ - 1}}\) exists. Also, the production vector \(x = {\left( {I - C} \right)^{ - 1}}{\mathop{\rm d}\nolimits} \) has non-negative entries and is the unique solution of \(x = Cx + {\mathop{\rm d}\nolimits} \).

From Exercise 5, \({\left( {I - C} \right)^{ - 1}} = \left[ {\begin{array}{*{20}{c}}{1.6}&1\\{1.2}&2\end{array}} \right]\).

The production level necessary to satisfy the final demand is shown below:

\[\begin{array}{c}{x_1} = {\left( {I - C} \right)^{ - 1}}{{\mathop{\rm d}\nolimits} _1}\\ = \left[ {\begin{array}{*{20}{c}}{1.6}&1\\{1.2}&2\end{array}} \right]\left[ {\begin{array}{*{20}{c}}1\\0\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{1.6 + 0}\\{1.2 + 0}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{1.6}\\{1.2}\end{array}} \right]\end{array}\]

This corresponds to the first column of \({\left( {I - C} \right)^{ - 1}}\).

Thus, the production level necessary to satisfy the final demandfor 1 unit of output from sector 1 is \({x_1} = \left[ {\begin{array}{*{20}{c}}{1.6}\\{1.2}\end{array}} \right]\).

03

Use the inverse matrix to determine the production level

(b)

The production level necessary to satisfy the final demand of \(\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right]\) is shown below:

\[\begin{array}{c}{x_2} = {\left( {I - C} \right)^{ - 1}}{{\mathop{\rm d}\nolimits} _2}\\ = \left[ {\begin{array}{*{20}{c}}{1.6}&1\\{1.2}&2\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{81.6 + 30}\\{61.2 + 60}\end{array}} \right]\\ = \left[ {\begin{array}{*{20}{c}}{111.6}\\{121.2}\end{array}} \right]\end{array}\]

Thus, the production level necessary to satisfy the final demand of \(\left[ {\begin{array}{*{20}{c}}{51}\\{30}\end{array}} \right]\) is \({x_2} = \left[ {\begin{array}{*{20}{c}}{111.6}\\{121.2}\end{array}} \right]\).

04

Obtain the relation of parts (a) and (b) and Exercise 5

(c)

From Exercise 5, the production vector x corresponding to

\({\mathop{\rm d}\nolimits} = \left[ {\begin{array}{*{20}{c}}{50}\\{20}\end{array}} \right]\)is \(x = \left[ {\begin{array}{*{20}{c}}{110}\\{120}\end{array}} \right]\).

Use \({{\mathop{\rm d}\nolimits} _2} = d + {d_1}\) to obtain the relation between parts (a), (b), and Exercise 5, as shown below:

\(\begin{array}{c}{{\mathop{\rm x}\nolimits} _2} = {\left( {I - C} \right)^{ - 1}}{{\mathop{\rm d}\nolimits} _2}\\ = {\left( {I - C} \right)^{ - 1}}\left( {{\mathop{\rm d}\nolimits} + {{\mathop{\rm d}\nolimits} _1}} \right)\\ = {\left( {I - C} \right)^{ - 1}}{\mathop{\rm d}\nolimits} + {\left( {I - C} \right)^{ - 1}}{{\mathop{\rm d}\nolimits} _1}\\ = {\mathop{\rm x}\nolimits} + {{\mathop{\rm x}\nolimits} _1}\end{array}\)

Thus, the relation between parts (a), (b) and Exercise 5 is \({{\mathop{\rm x}\nolimits} _2} = x + {x_1}\).

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Most popular questions from this chapter

Exercises 15 and 16 concern arbitrary matrices A, B, and Cfor which the indicated sums and products are defined. Mark each statement True or False. Justify each answer.

16. a. If A and B are \({\bf{3}} \times {\bf{3}}\) and \(B = \left( {\begin{aligned}{*{20}{c}}{{{\bf{b}}_1}}&{{{\bf{b}}_2}}&{{{\bf{b}}_3}}\end{aligned}} \right)\), then \(AB = \left( {A{{\bf{b}}_1} + A{{\bf{b}}_2} + A{{\bf{b}}_3}} \right)\).

b. The second row of ABis the second row of Amultiplied on the right by B.

c. \(\left( {AB} \right)C = \left( {AC} \right)B\)

d. \({\left( {AB} \right)^T} = {A^T}{B^T}\)

e. The transpose of a sum of matrices equals the sum of their transposes.

Let \(A = \left( {\begin{aligned}{*{20}{c}}{\bf{2}}&{ - {\bf{3}}}\\{ - {\bf{4}}}&{\bf{6}}\end{aligned}} \right)\) and \(B = \left( {\begin{aligned}{*{20}{c}}{\bf{8}}&{\bf{4}}\\{\bf{5}}&{\bf{5}}\end{aligned}} \right)\) and \(C = \left( {\begin{aligned}{*{20}{c}}{\bf{5}}&{ - {\bf{2}}}\\{\bf{3}}&{\bf{1}}\end{aligned}} \right)\). Verfiy that \(AB = AC\) and yet \(B \ne C\).

Prove Theorem 2(b) and 2(c). Use the row-column rule. The \(\left( {i,j} \right)\)- entry in \(A\left( {B + C} \right)\) can be written as \({a_{i1}}\left( {{b_{1j}} + {c_{1j}}} \right) + ... + {a_{in}}\left( {{b_{nj}} + {c_{nj}}} \right)\) or \(\sum\limits_{k = 1}^n {{a_{ik}}\left( {{b_{kj}} + {c_{kj}}} \right)} \).

In Exercises 1โ€“9, assume that the matrices are partitioned conformably for block multiplication. Compute the products shown in Exercises 1โ€“4.

4. \[\left[ {\begin{array}{*{20}{c}}I&0\\{ - X}&I\end{array}} \right]\left[ {\begin{array}{*{20}{c}}A&B\\C&D\end{array}} \right]\]

Suppose Tand U are linear transformations from \({\mathbb{R}^n}\) to \({\mathbb{R}^n}\) such that \(T\left( {U{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\) . Is it true that \(U\left( {T{\mathop{\rm x}\nolimits} } \right) = {\mathop{\rm x}\nolimits} \) for all x in \({\mathbb{R}^n}\)? Why or why not?

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