Calculus (3rd Edition)

Published by W. H. Freeman
ISBN 10: 1464125260
ISBN 13: 978-1-46412-526-3

Chapter 15 - Differentiation in Several Variables - 15.5 The Gradient and Directional Derivatives - Exercises - Page 802: 57

Answer

$\Delta f = f\left( {3.53,8.98} \right) - f\left( {3.5,9} \right) \simeq 0.08$

Work Step by Step

We have $\nabla {f_{\left( {3.5,9} \right)}} = \left( {2, - 1} \right)$. Let $P = \left( {a,b} \right) = \left( {3.5,9} \right)$ and $\Delta {\bf{v}} = \left( {h,k} \right) = \left( {0.03, - 0.02} \right)$. Write: $\Delta f = f\left( {3.53,8.98} \right) - f\left( {3.5,9} \right)$ Using Eq. (7) from Exercise 56, we get $\Delta f \simeq \nabla {f_p}\cdot\Delta {\bf{v}}$ $\Delta f = f\left( {3.53,8.98} \right) - f\left( {3.5,9} \right) \simeq \nabla {f_{\left( {3.5,9} \right)}}\cdot\Delta {\bf{v}}$ $\Delta f = f\left( {3.53,8.98} \right) - f\left( {3.5,9} \right) \simeq \left( {2, - 1} \right)\cdot\left( {0.03, - 0.02} \right) = 0.08$ So, $\Delta f = f\left( {3.53,8.98} \right) - f\left( {3.5,9} \right) \simeq 0.08$.
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