Calculus, 10th Edition (Anton)

Published by Wiley
ISBN 10: 0-47064-772-8
ISBN 13: 978-0-47064-772-1

Chapter 13 - Partial Derivatives - 13.9 Lagrange Multipliers - Exercises Set 13.9 - Page 997: 29

Answer

\[ \left.f\right|_{(2,2,4)}=240 \quad \text { cents } \]

Work Step by Step

We know: \[ \begin{array}{c} f(x, y)=(2 x y)10+(2 y z+2 z x)5 \\ 20 x y+10 y z+10 z x=f(x, y) \end{array} \] The constraint is $-16+x y z=g(x, y)$. We want to maximize the function $f$ by using Lagrange multipliers: \[ \lambda \nabla g=\nabla f \] We will need the gradient \[ \begin{aligned} \nabla f &=20 y \hat{i}+10 z \hat{j}+10 x \hat{k} \\ \nabla g &=y \hat{z}+z x \hat{j}+x y \hat{k} \\ \because \quad \nabla f &=\lambda \nabla g \\ (20 y \hat{i}+10 z \hat{j}+10 x \hat{k}) &=\lambda(y z \hat{i}+z x \hat{j}+x y \hat{k}) \end{aligned} \] Which is equivalent to the pair of equations \[ \begin{aligned} &\lambda(y z) =20 y \\ &\lambda(z x)=10z \\ &\lambda(x y)=10x \\ \Rightarrow \frac{20 y}{y z} &=\frac{10 z}{z x}=\frac{10 x}{x y} \end{aligned} \] Thus, from equation(1), $z=2 y=2 x,$ so: $-16+x y z$ \[ 16=2 x^{3}, \quad \Rightarrow 2=x \] \[ \begin{array}{l} \left.f\right|_{(2,2,4)}=20(2 \times 2)+10(2 \times 4)+10(2 \times 4) \\ \left.f\right|_{(2,2,4)}=240 \end{array} \]
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