Calculus (3rd Edition)

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

Chapter 15 - Differentiation in Several Variables - Chapter Review Exercises - Page 836: 61

Answer

The dimensions of a cylindrical can with a bottom but no top, of fixed volume ${V_0}$ with minimum surface area are $\left( {r,h} \right) = \left( {{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}},{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}}} \right)$, where $r$ is the radius and $h$ is the height of the cylindrical can.

Work Step by Step

We have the surface area (with a bottom but no top): $S\left( {r,h} \right) = 2\pi rh + \pi {r^2}$, where $r$ is the radius and $h$ is the height of the cylindrical can. Our task is to minimize $S$ subject to a fixed volume constraint $V\left( {r,h} \right) = \pi {r^2}h = {V_0}$. Step 1. Write out the Lagrange equations Using Theorem 1, the Lagrange condition $\nabla S = \lambda \nabla V$ yields $\left( {2\pi h + 2\pi r,2\pi r} \right) = \lambda \left( {2\pi rh,\pi {r^2}} \right)$ So, the Lagrange equations are $2\pi h + 2\pi r = \lambda \left( {2\pi rh} \right)$, ${\ \ \ }$ $2\pi r = \lambda \left( {\pi {r^2}} \right)$ (1) ${\ \ \ \ }$ $h + r = rh\lambda $, ${\ \ \ }$ $2 = r\lambda $ Step 2. Solve for $\lambda$ in terms of $r$ and $h$ The second equation of (1) implies that $r \ne 0$ and $\lambda \ne 0$. As a result, $h \ne 0$. From equation (1) we obtain $\lambda = \frac{2}{r} = \frac{{h + r}}{{rh}}$ $2 = 1 + \frac{r}{h}$ $1 = \frac{r}{h}$ So, $h=r$. Step 3. Solve for $r$ and $h$ using the constraint Substituting $h=r$ in the constraint gives $\pi {r^2}\left( r \right) = {V_0}$ ${r^3} = \frac{{{V_0}}}{\pi }$ $r = {\left( {\frac{{{V_0}}}{\pi }} \right)^{1/3}}$ Since $h=r$, the Lagrange critical point is $\left( {r,h} \right) = \left( {{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}},{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}}} \right)$. Step 4. Calculate the critical values Using the critical point $\left( {r,h} \right) = \left( {{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}},{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}}} \right)$ we evaluate the extreme value of $S$ subject to the constraint ${V_0} = \pi {r^2}h$: $S\left( {{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}},{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}}} \right) = 3{\pi ^{1/3}}{V_0}^{2/3}$ For a fixed constraint ${V_0}$ we may increase $r$ and at the same time decrease $h$ such that ${V_0}$ is constant. Since $S$ is increasing, we conclude that $3{\pi ^{1/3}}{V_0}^{2/3}$ is a minimum value of $S$ subject to the constraint. Thus, the dimensions of a cylindrical can with a bottom but no top, of fixed volume ${V_0}$ with minimum surface area are $\left( {r,h} \right) = \left( {{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}},{{\left( {\frac{{{V_0}}}{\pi }} \right)}^{1/3}}} \right)$, where $r$ is the radius and $h$ is the height of the cylindrical can.
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