Calculus 8th Edition

Published by Cengage
ISBN 10: 1285740629
ISBN 13: 978-1-28574-062-1

Chapter 14 - Partial Derivatives - 14.6 Directional Derivatives and the Gradient Vector - 14.6 Exercises - Page 997: 27

Answer

(a) $-\nabla f(\bf {x})$ (b) $\lt -12,92 \gt$

Work Step by Step

(a) Our aim is to determine the direction derivative of $f(x,y)$, we have : $D_uf=|\nabla f(x,y)|$ Formula to calculate the directional derivative: $D_uf=\nabla f(x,y) \cdot u$ It can also be written as: $D_uf=|\nabla f(x,y)||u| \cos \theta$ Since, the minimum value of $\cos \theta$ is $-1$ when $\theta =\pi or 180^\circ$ This implies $D_uf=-|\nabla f(x)|$ or, $-\nabla f(\bf {x})$ (b) Our aim is to determine the maximum rate of change of $f(x,y)$.In order to find this, we have : $D_uf=|\nabla f(x,y)|$ Given: $f(x,y)=x^4y-x^2y^3$ $\nabla f(x,y)=\lt 4x^3y-2xy^3,x^4-3x^2y^2 \gt$ From the given data, we have $f(x,y)=f(2,-3)$ $\nabla f(2,-3)=\lt 12,-92 \gt$ $|\nabla f(2,-3)|=\sqrt{(12)^2+(-92)^2}=\sqrt {\dfrac{9}{25}}=\dfrac{3}{5}$ From part (a), we have $D_uf=-|\nabla f(x)|=-\lt 12,-92 \gt =\lt -12,92 \gt$ Therefore, the direction of $f(x,y)$ is:$\lt -12,92 \gt$
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