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 831: 2

Answer

(a) The Lagrange equations: $2x = 4\lambda $, ${\ \ \ }$ $4y = - 6\lambda $. (b) We show that we may assume that $x$ and $y$ are nonzero. (c) Using the Lagrange equations we show that $y = - \frac{3}{4}x$. (d) There is a unique critical point $P = \left( {\frac{{50}}{{17}}, - \frac{{75}}{{34}}} \right)$. (e) $P$ corresponds to a minimum value of $f$.

Work Step by Step

(a) We have the function $f\left( {x,y} \right) = {x^2} + 2{y^2}$ and the constraint $g\left( {x,y} \right) = 4x - 6y - 25 = 0$. Using Theorem 1, the Lagrange condition $\nabla f = \lambda \nabla g$ yields $\left( {2x,4y} \right) = \lambda \left( {4, - 6} \right)$ Hence, $2x = 4\lambda $, ${\ }$ $4y = - 6\lambda $. (b) In part (a) we obtain the Lagrange equations: $2x = 4\lambda $, ${\ \ \ \ }$ $4y = - 6\lambda $ If $x=0$, then $\lambda = 0$. It follows that $y=0$. Similarly, if $y=0$, then $\lambda = 0$. It follows that $x=0$. Thus, if $x=0$ or $y=0$, then the Lagrange equations give $x=y=0$. However, $\left( {0,0} \right)$ does not satisfy the constraint $g\left( {x,y} \right) = 4x - 6y - 25 = 0$. Hence, we may assume that $x$ and $y$ are nonzero. (c) In part (a) we obtain the Lagrange equations: $2x = 4\lambda $, ${\ \ \ \ }$ $4y = - 6\lambda $ So, $\lambda = \frac{1}{2}x = - \frac{2}{3}y$. Hence, $y = - \frac{3}{4}x$. (d) In part (c) we obtain $y = - \frac{3}{4}x$. Substitute it in the constraint equation gives $g\left( {x, - \frac{3}{4}x} \right) = 4x + \frac{9}{2}x - 25 = 0$ $x = \frac{{50}}{{17}}$ Using $y = - \frac{3}{4}x$, we obtain $y = - \frac{{75}}{{34}}$. So, there is a unique critical point $P = \left( {\frac{{50}}{{17}}, - \frac{{75}}{{34}}} \right)$. (e) Referring to Figure 13, as $\left( {x,y} \right)$ moves away from $P$ along the line $g\left( {x,y} \right) = 0$, either to the right or to the left, $f\left( {x,y} \right)$ increases. So, we conclude that $P$ corresponds to a minimum value of $f$.
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