Calculus, 10th Edition (Anton)

Published by Wiley
ISBN 10: 0-47064-772-8
ISBN 13: 978-0-47064-772-1

Chapter 13 - Partial Derivatives - 13.6 Directional Derivatives And Gradients - Exercises Set 13.6 - Page 969: 57

Answer

Vector along the gradient: $\mathbf{i}-\mathbf{j}=\mathbf{V}$ Unit vector: $\frac{1}{\sqrt{2}}(\mathbf{i}-\mathbf{j})=\mathbf{v}$ Rate of change: $3 \sqrt{2}=\sqrt{18}=|\nabla f(1,1,-1)\|$

Work Step by Step

$f$ Increases more quickly in positive direction of $\nabla f(x, y, z)$ \[ \begin{array}{l} 3 x^{2} z^{2}=f_{x}(x, y, z) \\ 3=f_{x}(1,1,-1) \\ 3 y^{2} z=f_{y}(x, y, z) \\ -3=f_{y}(1,1,-1) \\ 2 x^{3} z+y^{3}+1=f_{z}(x, y, z) \\ 0=f_{z}(1,1,-1) \\ \nabla f(1,1,-1)=3(\mathbf{i}-\mathbf{j}) \end{array} \] Vector along the gradient: $\mathbf{i}-\mathbf{j}=\mathbf{V}$ Unit vector: $\frac{1}{\sqrt{2}}(\mathbf{i}-\mathbf{j})=\mathbf{v}$ Rate of change: $3 \sqrt{2}=\sqrt{18}=|\nabla f(1,1,-1)\|$
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