Calculus (3rd Edition)

Published by W. H. Freeman
ISBN 10: 1464125260
ISBN 13: 978-1-46412-526-3

Chapter 15 - Differentiation in Several Variables - 15.8 Lagrange Multipliers: Optimizing with a Constraint - Exercises - Page 832: 30

Answer

To maximize his satisfaction, Antonio should purchase $\frac{5}{3}$ hamburgers and $\frac{5}{2}$ french fries.

Work Step by Step

We have the function $U\left( {{x_1},{x_2}} \right) = \sqrt {{x_1}{x_2}} $, where ${x_1}$ and ${x_2}$ are the numbers of hamburgers and french fries purchased by Antonio. Our task is to maximize $U$ subject to the constraint $g\left( {{x_1},{x_2}} \right) = \frac{3}{2}{x_1} + {x_2} - 5 = 0$. Step 1. Write out the Lagrange equations Using Theorem 1, the Lagrange condition $\nabla U = \lambda \nabla g$ yields $\left( {\frac{{{x_2}}}{{2\sqrt {{x_1}{x_2}} }},\frac{{{x_1}}}{{2\sqrt {{x_1}{x_2}} }}} \right) = \lambda \left( {\frac{3}{2},1} \right)$ So, the Lagrange equations are (1) ${\ \ \ \ }$ $\frac{{{x_2}}}{{2\sqrt {{x_1}{x_2}} }} = \frac{3}{2}\lambda $, ${\ \ \ }$ $\frac{{{x_1}}}{{2\sqrt {{x_1}{x_2}} }} = \lambda $ Step 2. Solve for $\lambda$ in terms of $x$ and $y$ Since $\left( {0,0} \right)$ does not satisfy the constraint, we have the following cases: Case 1. ${x_1} = 0$, ${x_2} \ne 0$ Substituting ${x_1} = 0$ in the constraint gives ${x_2} = 5$. So, the critical point is $\left( {0,5} \right)$. Case 2. ${x_1} \ne 0$, ${x_2} = 0$ Substituting ${x_2} = 0$ in the constraint gives $\frac{3}{2}{x_1} - 5 = 0$. So, ${x_1} = \frac{{10}}{3}$. So, the critical point is $\left( {\frac{{10}}{3},0} \right)$. Case 3. ${x_1} \ne 0$ and ${x_2} \ne 0$ In this case $\lambda \ne 0$. Equation (1) becomes $\lambda = \frac{{{x_2}}}{{3\sqrt {{x_1}{x_2}} }} = \frac{{{x_1}}}{{2\sqrt {{x_1}{x_2}} }}$ $\frac{{{x_2}}}{3} = \frac{{{x_1}}}{2}$ So, ${x_2} = \frac{3}{2}{x_1}$. Step 3. Solve for $x$ and $y$ using the constraint Substituting ${x_2} = \frac{3}{2}{x_1}$ from Step 2 in the constraint gives $\frac{3}{2}{x_1} + \frac{3}{2}{x_1} - 5 = 0$ $3{x_1} = 5$ ${x_1} = \frac{5}{3}$ Using ${x_2} = \frac{3}{2}{x_1}$, we obtain ${x_2} = \frac{5}{2}$. So, the critical point is $\left( {\frac{5}{3},\frac{5}{2}} \right)$. Step 4. Calculate the critical values We evaluate the extreme values at the critical points and list them in the following table: $\begin{array}{*{20}{c}} {{\rm{Critical{\ }point}}}&{U\left( {x,y} \right)}\\ {\left( {0,5} \right)}&0\\ {\left( {\frac{{10}}{3},0} \right)}&0\\ {\left( {\frac{5}{3},\frac{5}{2}} \right)}&{\frac{5}{{\sqrt 6 }}} \end{array}$ From the results in this table we conclude that the maximum value of $U$ subject to the constraint $g\left( {{x_1},{x_2}} \right) = \frac{3}{2}{x_1} + {x_2} - 5 = 0$ is $\frac{5}{{\sqrt 6 }}$. Thus, to maximize his satisfaction, Antonio should purchase $\frac{5}{3}$ hamburgers and $\frac{5}{2}$ french fries.
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