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: 55

Answer

Vector along the gradient: $(4 \mathbf{i}-3 \mathbf{j})\frac{1}{5}=\mathbf{V}$ Unit vector:$(4 \mathbf{i}-3 \mathbf{j})\frac{1}{5}=\mathbf{v}$ Rate of change: $1=\|\nabla f(4,-3)\|$

Work Step by Step

$f$ increases most rapidly in the positive direction of $\nabla f(x, y)$ \[ \begin{array}{l} \frac{x}{\sqrt{y^{2}+x^{2}}}=f_{x}(x, y) \\ \frac{4}{5}=f_{x}(4,-3) \\ f_{y}(x, y)=\frac{y}{\sqrt{x^{2}+y^{2}}} \\ f_{y}(4,-3)=-\frac{3}{5} \end{array} \] \[ \frac{1}{5}(4 \mathbf{i}-3 \mathbf{j})=\nabla f(4,-3) \] Vector along the gradient: $(4 \mathbf{i}-3 \mathbf{j})\frac{1}{5}=\mathbf{V}$ Unit vector:$(4 \mathbf{i}-3 \mathbf{j})\frac{1}{5}=\mathbf{v}$ Rate of change: $1=\|\nabla f(4,-3)\|$
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