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: 19

Answer

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

Work Step by Step

$ f_x= 2x+y$ and $ f_y= x+2y $ Now, $f_x (-1,1) = 2x+y=2(-1)+1=-1$ and $f_y (-1,1) =x+2y=-1+2(1)=1$ $u_{max}=\dfrac{\nabla f (-1,1)}{|\nabla f (-1,1) |}= \lt -\dfrac{1}{\sqrt 2}, \dfrac{1}{\sqrt 2} \gt$ and $u_{min}=- u_{max}= \lt \dfrac{1}{\sqrt 2}, -\dfrac{1}{\sqrt 2} \gt$ We know that $D_u f = \nabla f \cdot u$ Therefore, $D_u f_{max} =\nabla f (-1,1) \cdot u_{max} =\lt -1, 1 \gt \cdot \lt -\dfrac{1}{\sqrt 2}, \dfrac{1}{\sqrt 2} \gt =\sqrt 2$ and $D_u f_{min} =\nabla f (-1,1) \cdot u_{min} =\lt -1, 1 \gt \cdot \lt \dfrac{1}{\sqrt 2}, -\dfrac{1}{\sqrt 2} \gt =- \sqrt 2$
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