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: 60

Answer

Vector along the gradient: $\mathbf{i}-\mathbf{j}-\mathbf{k}=\mathbf{V}$ Unit vecotr $\mathbf{v}=\frac{1}{\sqrt{3}}(\mathbf{i}-\mathbf{j}-\mathbf{k})$ Rate of change: $\|\nabla f(4,2,2)\|=\frac{\sqrt{3}}{8}$

Work Step by Step

$f$ increases more quickly in the positive direction of $\nabla f(x, y, z)$ \[ \begin{array}{l} \frac{y+z}{x^{2}+(y+z)^{2}}=f_{x}(x, y, z) \\ \frac{1}{8}=f_{x}(4,2,2) \\ -\frac{x}{x^{2}+(y+z)^{2}}=f_{y}(x, y, z) \\ -\frac{1}{8} =f_{y}(4,2,2) \\ f_{z}(x, y, z)=-\frac{x}{x^{2}+(y+z)^{2}} \\ f_{z}(4,2,2)=-\frac{1}{8} \end{array} \] $\frac{1}{8}(\mathbf{i}-\mathbf{j}-\mathbf{k})=\nabla f(4,2,2)$ Vector along the gradient: $\mathbf{i}-\mathbf{j}-\mathbf{k}=\mathbf{V}$ Unit vecotr $\mathbf{v}=\frac{1}{\sqrt{3}}(\mathbf{i}-\mathbf{j}-\mathbf{k})$ Rate of change: $\|\nabla f(4,2,2)\|=\frac{\sqrt{3}}{8}$
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