Multivariable Calculus, 7th Edition

Published by Brooks Cole
ISBN 10: 0-53849-787-4
ISBN 13: 978-0-53849-787-9

Chapter 14 - Partial Derivatives - 14.8 Exercises - Page 987: 21

Answer

Maximum: $f(\pm 1/\sqrt 2, \mp 1/(2\sqrt2))=e^{1/4}$ and Minimum: $f(\pm 1/\sqrt 2, \pm 1/(2\sqrt2))=e^{-1/4}$

Work Step by Step

Our aim is to calculate the extreme values with the help of the Lagrange Multipliers Method, subject to the given constraints. For this we have:$\nabla f(x,y)=\lambda \nabla g(x,y)$ This yields $\nabla f(x,y)=\lt -ye^{-xy},-xe^{-xy} \gt$ and $\lambda g(x,y)= \lt 2x,8y \gt$ Using the constraint condition $x^2+4y^2 \leq 1$ we get, $x^2= \dfrac{1}{2}$ and $x= \pm \dfrac{1}{\sqrt 2}$ Also, $\nabla f(x,y)=\lt -ye^{-xy},-xe^{-xy} \gt$ and $\lambda g(x,y)= \lt 2x,8y \gt$ we get $x=0,,y=0$ Hence, Maximum: $f(\pm 1/\sqrt 2, \mp 1/(2\sqrt2))=e^{1/4}$ and Minimum: $f(\pm 1/\sqrt 2, \pm 1/(2\sqrt2))=e^{-1/4}$
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