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: 10

Answer

(a) \[(y^3ze^{xyz})\hat{i}+(e^{xyz}(2y+xy^2z))\hat{j}+(xy^2ze^{xyz})\hat{k}\] (b) \[-\hat{i}+2\hat{j}\] (c) \[\frac{5}{13}\]

Work Step by Step

It is given that \[f(x,y,z)=y^2e^{xyz}\] Differentiate $f$ with respect to $x$ treating $y$ and $z$ constant. \[f_x(x,y,z)=y^2e^{xyz}(yz)=y^3ze^{xyz}\] Differentiate $f$ with respect to $y$ treating $x$ and $z$ constant. \[f_y(x,y,z)=(2y)e^{xyz}+y^2e^{xyz}(xz)=e^{xyz}(2y+xy^2z) \] Differentiate $f$ with respect to $z$ treating $x$ and $y$ constant. \[f_z(x,y,z)=y^2e^{xyz}(xz)=xy^2ze^{xyz}\] (a) \[\nabla f(x,y,z)=f_x(x,y,z)\hat{i}+f_y(x,y,z)\hat{j}+f_z(x,y,z)\hat{k}\] \[\nabla f(x,y,z)=(y^3ze^{xyz})\hat{i}+(e^{xyz}(2y+xy^2z))\hat{j}+(xy^2ze^{xyz})\hat{k}\] (b) \[\nabla f(0,1,-1)=f_x(0,1,-1)\hat{i}+f_y(0,1,-1)\hat{j}+f_z(0,1,-1)\hat{k}\] \[\nabla f(0,1,-1)=-\hat{i}+2\hat{j}\] (c) \[\mathbf{u}=\left(\frac{3}{13}\right)\hat{i}+\frac{4}{13}\hat{j}+\frac{12}{13}\hat{k}\] Required directional derivative is given by: \[D_{\mathbf{u}}f(0,1,-1)=\nabla f(0,1,-1)\cdot \mathbf{u}\] \[D_{\mathbf{u}}f(0,1,-1)=(-\hat{i}+2\hat{j})\cdot \left(\frac{3}{13}\hat{i}+\frac{4}{13}\hat{j}+\frac{12}{13}\hat{k}\right)\] \[D_{\mathbf{u}}f(0,1,-1)=\frac{5}{13}\]
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