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After taking nutrition class, a big Annie’s Mac and Cheese fan decides to improve the levels of protein and fiber in her favourite lunch by adding broccoli and canned chicken. The nutritional information for the foods referred to in this exercise are given in the table below.

Nutrition Information per serving

Nutrient

Mac and Cheese

Broccoli

Chicken

Shells

Calories

Protein (g)

Fiber (g)

270

10

2

51

5.4

5.2

70

15

0

260

9

5

  1. (M) If she wants to limit her lunch to 400 calories but get 30 g of protein and 10 g of fiber, what properties of servings of Mac and Chees, broccoli, and chicken should she use?
  2. (M) She found that there was too much broccoli in the proportions from part (a), so she decided to switch from classical Mac and Cheese to Annie’s Whole Wheat Shells and White Cheddar. What proportions of servings of each food should she use to meet the same goals as in part (a)?

Short Answer

Expert verified
  1. She should use \(0.99\) servings of Mac and Cheese, \(1.54\) servings of broccoli, and \(0.79\) servings of chicken.
  2. Alternatively, she can use \(0.88\) servings of broccoli, \(1.03\) servings of chicken, and \(1.09\) servings of Whole Wheat Shells and White Cheddar.

Step by step solution

01

Write the given data in the matrix form

Let the matrix for Mac and Cheese be MC. Then, \(MC = \left( {\begin{array}{*{20}{c}}{270}\\{10}\\2\end{array}} \right)\).

Let the matrix for broccoli be B. Then, \(B = \left( {\begin{array}{*{20}{c}}{51}\\{5.4}\\{5.2}\end{array}} \right)\).

Let the matrix for chicken be C. Then, \(C = \left( {\begin{array}{*{20}{c}}{70}\\{15}\\0\end{array}} \right)\).

Let the matrix for Whole Wheat Shells and White Cheddar be S. Then, \(S = \left( {\begin{array}{*{20}{c}}{260}\\9\\5\end{array}} \right)\).

02

Express the system for part (a)

(a)

Let \({x_1},{x_2},\) and \({x_3}\) be the number servings of Mac and Cheese, broccoli, and chicken, respectively.

The matrix expression for this problem is \(MC{x_1} + B{x_2} + C{x_2} = \left( {\begin{array}{*{20}{c}}{400}\\{30}\\{10}\end{array}} \right)\). That is,

\(\left( {\begin{array}{*{20}{c}}{270}\\{10}\\2\end{array}} \right){x_1} + \left( {\begin{array}{*{20}{c}}{51}\\{5.4}\\{5.2}\end{array}} \right){x_2} + \left( {\begin{array}{*{20}{c}}{70}\\{15}\\0\end{array}} \right){x_3} = \left( {\begin{array}{*{20}{c}}{400}\\{30}\\{10}\end{array}} \right)\).

Its augmented matrix is \(\left( {\begin{array}{*{20}{c}}{270}&{51}&{70}&{400}\\{10}&{5.4}&{15}&{30}\\2&{5.2}&0&{10}\end{array}} \right)\).

03

Solve the system

First, reduce the augmented matrix into the row echelon form.

Interchange rows one and three, i.e., \({R_1} \leftrightarrow {R_3}\).

\(\left( {\begin{array}{*{20}{c}}{270}&{51}&{70}&{400}\\{10}&{5.4}&{15}&{30}\\2&{5.2}&0&{10}\end{array}} \right) \sim \left( {\begin{array}{*{20}{c}}2&{5.2}&0&{10}\\{10}&{5.4}&{15}&{30}\\{270}&{51}&{70}&{400}\end{array}} \right)\)

Divide row one by two.

\( \sim \left( {\begin{array}{*{20}{c}}1&{2.6}&0&5\\{10}&{5.4}&{15}&{30}\\{270}&{51}&{70}&{400}\end{array}} \right)\)

At row two, multiply row one by 10 and subtract row two from it, i.e., \({R_2} \to 10{R_1} - {R_2}\). And at row three, multiply row one by 270 and subtract row three from it, i.e., \({R_3} \to 270{R_1} - {R_3}\).

\( \sim \left( {\begin{array}{*{20}{c}}1&{2.6}&0&5\\0&{20.6}&{ - 15}&{20}\\0&{651}&{ - 70}&{950}\end{array}} \right)\)

Divide row two by 20.6.

\( \sim \left( {\begin{array}{*{20}{c}}1&{2.6}&0&5\\0&1&{ - \frac{{75}}{{103}}}&{\frac{{100}}{{103}}}\\0&{651}&{ - 70}&{950}\end{array}} \right)\)

At row three, multiply row two by 651 and subtract row three from it, i.e., \({R_3} \to 651{R_2} - {R_3}\).

\( \sim \left( {\begin{array}{*{20}{c}}1&{2.6}&0&5\\0&1&{ - \frac{{75}}{{103}}}&{\frac{{100}}{{103}}}\\0&0&{ - \frac{{41615}}{{103}}}&{ - \frac{{32750}}{{103}}}\end{array}} \right)\)

This implies,

\(\begin{array}{c} - \frac{{41615}}{{103}}{x_3} = - \frac{{32750}}{{103}}\\{x_3} = \frac{{6550}}{{8323}}\end{array}\)

\(\begin{array}{c}{x_2} - \frac{{75}}{{103}}{x_3} = \frac{{100}}{{103}}\\{x_2} = \frac{{100}}{{103}} + \frac{{75}}{{103}}\left( {\frac{{6550}}{{8323}}} \right)\\{x_2} = \frac{{12850}}{{8323}}\end{array}\)

\(\begin{array}{c}{x_1} + 2.6{x_2} = 5\\{x_1} = 5 - 2.6\left( {\frac{{12850}}{{8323}}} \right)\\{x_1} = \frac{{8205}}{{8323}}\end{array}\)

That is, \({x_1} \approx 0.99,{x_2} \approx 1.54,\) and \({x_3} \approx 0.79\).

04

Express the system for part (b)

(b)

Let \({x_4}\) be the number of servings of Whole Wheat Shells and White Cheddar.

The matrix expression for this problem is \(B{x_2} + C{x_3} + S{x_4} = \left( {\begin{array}{*{20}{c}}{400}\\{30}\\{10}\end{array}} \right)\). That is,

\(\left( {\begin{array}{*{20}{c}}{51}\\{5.4}\\{5.2}\end{array}} \right){x_2} + \left( {\begin{array}{*{20}{c}}{70}\\{15}\\0\end{array}} \right){x_3} + \left( {\begin{array}{*{20}{c}}{260}\\9\\5\end{array}} \right){x_4} = \left( {\begin{array}{*{20}{c}}{400}\\{30}\\{10}\end{array}} \right)\).

Its augmented matrix is \(\left( {\begin{array}{*{20}{c}}{51}&{70}&{260}&{400}\\{5.4}&{15}&9&{30}\\{5.2}&0&5&{10}\end{array}} \right)\).

05

Solve the system

First, reduce the augmented matrix into the row echelon form.

Interchange rows one and three, i.e., \({R_1} \leftrightarrow {R_3}\).

\(\left( {\begin{array}{*{20}{c}}{51}&{70}&{260}&{400}\\{5.4}&{15}&9&{30}\\{5.2}&0&5&{10}\end{array}} \right) \sim \left( {\begin{array}{*{20}{c}}{5.2}&0&5&{10}\\{5.4}&{15}&9&{30}\\{51}&{70}&{260}&{400}\end{array}} \right)\)

Divide row 1 by 5.2.

\( \sim \left( {\begin{array}{*{20}{c}}1&0&{\frac{5}{{5.2}}}&{\frac{{10}}{{5.2}}}\\{5.4}&{15}&9&{30}\\{51}&{70}&{260}&{400}\end{array}} \right)\)

At row two, multiply row one by 5.4 and subtract row two from it, i.e., \({R_2} \to 5.4{R_1} - {R_2}\), and at row three, multiply row one by 51 and subtract row three from it, i.e., \({R_3} \to 51{R_1} - {R_3}\).

\( \sim \left( {\begin{array}{*{20}{c}}1&0&{\frac{5}{{5.2}}}&{\frac{{10}}{{5.2}}}\\0&{ - 15}&{ - \frac{{99}}{{26}}}&{ - \frac{{255}}{{13}}}\\0&{ - 70}&{ - \frac{{5485}}{{26}}}&{ - \frac{{3925}}{{13}}}\end{array}} \right)\)

Divide row two by 15.

\( \sim \left( {\begin{array}{*{20}{c}}1&0&{\frac{5}{{5.2}}}&{\frac{{10}}{{5.2}}}\\0&{ - 1}&{ - \frac{{33}}{{130}}}&{ - \frac{{17}}{{13}}}\\0&{ - 70}&{ - \frac{{5485}}{{26}}}&{ - \frac{{3925}}{{13}}}\end{array}} \right)\)

At row three, multiply row two by 70 and subtract row three from it, i.e., \({R_3} \to 70{R_2} - {R_3}\).

\( \sim \left( {\begin{array}{*{20}{c}}1&0&{\frac{5}{{5.2}}}&{\frac{{10}}{{5.2}}}\\0&{ - 1}&{ - \frac{{33}}{{130}}}&{ - \frac{{17}}{{13}}}\\0&0&{\frac{{5023}}{{26}}}&{\frac{{2735}}{{13}}}\end{array}} \right)\)

This implies,

\(\begin{array}{c}\frac{{5023}}{{26}}{x_4} = \frac{{2735}}{{13}}\\{x_4} = \frac{{5470}}{{5023}}\end{array}\)

\(\begin{array}{c} - {x_3} - \frac{{33}}{{130}}{x_4} = - \frac{{17}}{{13}}\\{x_3} = \frac{{17}}{{13}} - \frac{{33}}{{130}}\left( {\frac{{5470}}{{5023}}} \right)\\ = \frac{{853910 - 180510}}{{652990}}\\{x_3} = \frac{{5180}}{{5023}}\end{array}\)

\(\begin{array}{c}{x_2} + \frac{5}{{5.2}}{x_4} = \frac{{10}}{{5.2}}\\{x_2} = \frac{{10}}{{5.2}} - \frac{5}{{5.2}}\left( {\frac{{5470}}{{5023}}} \right)\\ = \frac{{50230 - 27350}}{{26119.6}}\\{x_2} = \frac{{4400}}{{5023}}\end{array}\)

That is, \({x_2} \approx 0.88,{x_3} \approx 1.03,\)and \({x_4} \approx 1.09\).

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Most popular questions from this chapter

In Exercises 23 and 24, key statements from this section are either quoted directly, restated slightly (but still true), or altered in some way that makes them false in some cases. Mark each statement True or False, and justify your answer. (If true, give the approximate location where a similar statement appears, or refer to a definition or theorem. If false, give the location of a statement that has been quoted or used incorrectly, or cite an example that shows the statement is not true in all cases.) Similar true/false questions will appear in many sections of the text.

23.

a. Every elementary row operation is reversible.

b. A \(5 \times 6\)matrix has six rows.

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d. Two fundamental questions about a linear system involve existence and uniqueness.

An important concern in the study of heat transfer is to determine the steady-state temperature distribution of a thin plate when the temperature around the boundary is known. Assume the plate shown in the figure represents a cross section of a metal beam, with negligible heat flow in the direction perpendicular to the plate. Let \({T_1},...,{T_4}\) denote the temperatures at the four interior nodes of the mesh in the figure. The temperature at a node is approximately equal to the average of the four nearest nodes—to the left, above, to the right, and below. For instance,

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33. Write a system of four equations whose solution gives estimates

for the temperatures \({T_1},...,{T_4}\).

In Exercises 33 and 34, Tis a linear transformation from \({\mathbb{R}^2}\) into \({\mathbb{R}^2}\). Show that T is invertible and find a formula for \({T^{ - 1}}\).

33. \(T\left( {{x_1},{x_2}} \right) = \left( { - 5{x_1} + 9{x_2},4{x_1} - 7{x_2}} \right)\)

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Suppose the coefficient matrix of a linear system of three equations in three variables has a pivot position in each column. Explain why the system has a unique solution.

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