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[M] Budget Rent A car in Wichit, Kanas, has a fleet of about 500 cars, at three locations. A car rented at one location may be returned to any of the three locations. The various fraction of cars returned to the three locations are shown in the matrix below. Suppose that on Monday there are 295 cars at the airport (or rented from there), 55 cars at the east side office, and 150 cars at the west side of office. What will be the approximate distribution of cars on Wednesday?

Cars Rented Form

Returned To

Airport

East

West

0.97

0.05

0.10

Airport

0.00

0.90

0.05

East

0.03

0.05

0.85

West

Short Answer

Expert verified

\(\left[ {\begin{array}{*{20}{c}}{312}\\{58}\\{130}\end{array}} \right]\)

Step by step solution

01

Form the difference equation

The matrix \(M = \left[ {\begin{array}{*{20}{c}}{0.97}&{0.05}&{0.10}\\{0.00}&{0.90}&{0.05}\\{0.03}&{0.05}&{0.85}\end{array}} \right]\) and the matrix \({{\bf{x}}_k}\) represent the car available at the airport on a particular day.

Let \(k = 0\) represent Monday. Then, by the difference equation, \({{\bf{x}}_{k + 1}} = M{{\bf{x}}_k}\).

\({{\bf{x}}_0} = \left[ {\begin{array}{*{20}{c}}{295}\\{55}\\{150}\end{array}} \right]\)

02

Calculate the cars available on Tuesday

For \(k = 0\), by the equation \({{\bf{x}}_{k + 1}} = M{{\bf{x}}_k}\),

\(\begin{array}{c}{{\bf{x}}_1} = \left[ {\begin{array}{*{20}{c}}{0.97}&{0.05}&{0.10}\\{0.00}&{0.90}&{0.05}\\{0.03}&{0.05}&{0.85}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{295}\\{55}\\{150}\end{array}} \right]\\ \approx \left[ {\begin{array}{*{20}{c}}{304}\\{57}\\{139}\end{array}} \right].\end{array}\)

03

Calculate the cars available on Wednesday

For \(k = 1\), by the equation \({{\bf{x}}_{k + 1}} = M{{\bf{x}}_k}\).

\(\begin{array}{c}{{\bf{x}}_2} = \left[ {\begin{array}{*{20}{c}}{0.97}&{0.05}&{0.10}\\{0.00}&{0.90}&{0.05}\\{0.03}&{0.05}&{0.85}\end{array}} \right]\left[ {\begin{array}{*{20}{c}}{304}\\{57}\\{139}\end{array}} \right]\\ \approx \left[ {\begin{array}{*{20}{c}}{312}\\{58}\\{130}\end{array}} \right].\end{array}\)

So, the matrix \(\left[ {\begin{array}{*{20}{c}}{312}\\{58}\\{130}\end{array}} \right]\) represents the cars at three locations on Wednesday.

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Most popular questions from this chapter

Suppose an experiment leads to the following system of equations:

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{249}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.843\end{aligned}\) (3)

  1. Solve system (3), and then solve system (4), below, in which the data on the right have been rounded to two decimal places. In each case, find the exactsolution.

\(\begin{aligned}{c}{\bf{4}}.{\bf{5}}{x_{\bf{1}}} + {\bf{3}}.{\bf{1}}{x_{\bf{2}}} = {\bf{19}}.{\bf{25}}\\1.6{x_{\bf{1}}} + 1.1{x_{\bf{2}}} = 6.8{\bf{4}}\end{aligned}\) (4)

  1. The entries in (4) differ from those in (3) by less than .05%. Find the percentage error when using the solution of (4) as an approximation for the solution of (3).
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In Exercises 32, find the elementary row operation that transforms the first matrix into the second, and then find the reverse row operation that transforms the second matrix into the first.

32. \(\left[ {\begin{array}{*{20}{c}}1&2&{ - 5}&0\\0&1&{ - 3}&{ - 2}\\0&{ - 3}&9&5\end{array}} \right]\), \(\left[ {\begin{array}{*{20}{c}}1&2&{ - 5}&0\\0&1&{ - 3}&{ - 2}\\0&0&0&{ - 1}\end{array}} \right]\)

Let \(T:{\mathbb{R}^n} \to {\mathbb{R}^m}\) be a linear transformation, and suppose \(T\left( u \right) = {\mathop{\rm v}\nolimits} \). Show that \(T\left( { - u} \right) = - {\mathop{\rm v}\nolimits} \).

Explain why a set \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3},{{\mathop{\rm v}\nolimits} _4}} \right\}\) in \({\mathbb{R}^5}\) must be linearly independent when \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}} \right\}\) is linearly independent and \({{\mathop{\rm v}\nolimits} _4}\) is not in Span \(\left\{ {{{\mathop{\rm v}\nolimits} _1},{{\mathop{\rm v}\nolimits} _2},{{\mathop{\rm v}\nolimits} _3}} \right\}\).

Construct a \(3 \times 3\) matrix\(A\), with nonzero entries, and a vector \(b\) in \({\mathbb{R}^3}\) such that \(b\) is not in the set spanned by the columns of\(A\).

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