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 970: 97

Answer

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Work Step by Step

Having a differentiable function $f(x, y)$ of two variables, we can define the partial derivatives of $f$ with respect to $x$ and $y$ as $\frac{\partial f}{\partial x}$ and $\frac{\partial f}{\partial y}$. A derivative of $f$ should contain these two entities. This is why the gradient of $f$ is a great candidate for being called a "derivative" of a two-variable function, as it has the two partial derivatives within its expression: \[ \nabla f = \frac{\partial f}{\partial x} \mathbf{i} + \frac{\partial f}{\partial y} \mathbf{j} \]
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