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: 64

Answer

Vector opposite the gradient: $-\mathbf{i}+3 \mathbf{j}=\mathbf{V}$ Unit vector: $\mathbf{v}=\frac{1}{\sqrt{10}}(-\mathbf{i}+3 \mathbf{j})$ Rate of change: $-\frac{\sqrt{5}}{8}=-\|\nabla f(3,1)\|$

Work Step by Step

$f$ increases more quickly in the positive direction of $\nabla f(x, y)$ \[ \begin{aligned} &\frac{y}{\sqrt{\frac{x-y}{x+y}}(x+y)^{2}}=f_{x}(x, y) \\ \frac{1}{8 \sqrt{2}}=f_{x}(3,1) & \\ &-\frac{x}{\sqrt{\frac{x-y}{x+y}}(x+y)^{2}}= f_{y}(x, y) \\ -\frac{3}{8 \sqrt{2}} =f_{y}(3,1) \\ \frac{1}{8 \sqrt{2}}(\mathbf{i}-3 \mathbf{j})=\nabla f(3,1) \end{aligned} \] Vector opposite the gradient: $-\mathbf{i}+3 \mathbf{j}=\mathbf{V}$ Unit vector: $\mathbf{v}=\frac{1}{\sqrt{10}}(-\mathbf{i}+3 \mathbf{j})$ Rate of change: $-\frac{\sqrt{5}}{8}=-\|\nabla f(3,1)\|$
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