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: 22

Answer

$u_{max}= \lt \dfrac{2}{3}, \dfrac{2}{3}, \dfrac{1}{3} \gt$ and $u_{min}=\lt -\dfrac{2}{3}, -\dfrac{2}{3}, -\dfrac{1}{3 } \gt$ $D_u f_{max} =3$ and $D_u f_{min} =-3$

Work Step by Step

$g_x= e^y \implies g_x(1, \ln 2, \dfrac{1}{2})= 2$ and $ g_y= xe^y \implies g_y(1, \ln 2, \dfrac{1}{2})= 2$ and $g_z= 2z \implies g_z(1, \ln 2, \dfrac{1}{2})= 1$ The directions of the unit vector are as follows: $u_{max}=\dfrac{\nabla g(1, \ln 2, \dfrac{1}{2}) }{|\nabla g (1, \ln 2, \dfrac{1}{2}) |}= \lt \dfrac{2}{3}, \dfrac{2}{3}, \dfrac{1}{3} \gt$ and $u_{min}=- u_{max}= \lt -\dfrac{2}{3}, -\dfrac{2}{3}, -\dfrac{1}{3 } \gt$ We know that $D_u f = \nabla f \cdot u$ Therefore, $D_u f_{max} =\nabla g(1, \ln 2, \dfrac{1}{2}) \cdot u_{max} =\lt 2,2,1 \gt \cdot \lt \dfrac{2}{3}, \dfrac{2}{3}, \dfrac{1}{3} \gt =3$ and $D_u f_{min} =-D_u f_{max} =-3$
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