University Calculus: Early Transcendentals (3rd Edition)

Published by Pearson
ISBN 10: 0321999584
ISBN 13: 978-0-32199-958-0

Chapter 13 - Section 13.5 - Directional Derivatives and Gradient Vectors - Exercises - Page 720: 21

Answer

$u_{max}= \lt \dfrac{1}{3 \sqrt 3}, - \dfrac{5}{3 \sqrt 3}, - \dfrac{1}{3 \sqrt 3} \gt$ and $u_{min}= \lt -\dfrac{1}{3 \sqrt 3}, \dfrac{5}{3 \sqrt 3}, \dfrac{1}{3 \sqrt 3} \gt$ $D_u f_{max} =3 \sqrt 3$ and $D_u f_{min} =-3 \sqrt 3$

Work Step by Step

$ f_x= y^{-1} \implies f_x(4,1,1)= 1$ and $ f_y= \dfrac{-x}{y^2}-z \implies f_y(4,1,1)=-5$ and $ f_z= -y \implies f_z(4,1,1)=-1$ The directions of the unit vector are as follows: $u_{max}=\dfrac{\nabla f (4,1,1)}{|\nabla f (4,1,1) |}= \lt \dfrac{1}{3 \sqrt 3}, - \dfrac{5}{3 \sqrt 3}, - \dfrac{1}{3 \sqrt 3} \gt$ and $u_{min}=- u_{max}= \lt -\dfrac{1}{3 \sqrt 3}, \dfrac{5}{3 \sqrt 3}, \dfrac{1}{3 \sqrt 3} \gt$ We know that $D_u f = \nabla f \cdot u$ Therefore, $D_u f_{max} =\nabla f (4,1,1) \cdot u_{max} =\lt 1,-5,1 \gt \cdot \lt \dfrac{1}{3 \sqrt 3}, - \dfrac{5}{3 \sqrt 3}, - \dfrac{1}{3 \sqrt 3} \gt = \dfrac{1}{3 \sqrt 3}+\dfrac{25}{3 \sqrt 3}+\dfrac{1}{3 \sqrt 3}=3 \sqrt 3$ and $D_u f_{min} =-D_u f_{max} =-3 \sqrt 3$
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.