Multivariable Calculus, 7th Edition

Published by Brooks Cole
ISBN 10: 0-53849-787-4
ISBN 13: 978-0-53849-787-9

Chapter 14 - Partial Derivatives - 14.4 Exercises - Page 946: 18

Answer

$f(x, y)\displaystyle \approx L(x, y)=1+\frac{1}{2}y$.

Work Step by Step

If the partial derivatives $f_{x}$ and $f_{y}$ exist near $(a,b)$, and are continuous functions near $(a,b)$, $f$ is differentiable at $(a,b)$. ( Theorem 8) The linearization of $f$ at (a,b): $f(x, y)\approx L(x, y)=f(a, b)+ dz$, where $dz=f_{x}(a, b)(x-a)+f_{y}(a, b)(y-b)$ --- $f(x, y)\sqrt{y+\cos^{2}x}=(y+\cos^{2}x)^{1/2}$ $\begin{array}{ll|ll} f_{x}(x, y) & )=\frac{1}{2}(y+\cos^{2}x)^{-1/2}(2\cos x)(-\sin x) & f_{y}(x, y) & =\frac{1}{2}(y+\cos^{2}x)^{-1/2}(1)\\ & =-\cos x\sin x(y+\cos^{2}x)^{-1/2} & & =\frac{1}{2}(y+\cos^{2}x)^{-1/2}\\ & & & \\ & & & \\ f_{x}(0,0) & =0 & f_{y}(0,0) & =\frac{1}{2}\\ & & & \end{array}$ $f_{x}$ and $f_{y}$ are continuous functions for $y\gt-\cos^{2}x$, so by Theorem 8, $f$ is differentiable at $(0,0)$. The linearization of $f$ at (a,b): $f(x, y)\approx L(x, y)=f(a, b)+ dz$, where $dz=f_{x}(a, b)(x-a)+f_{y}(a, b)(y-b)$ $L(x, y)=1+0(x-0)+\displaystyle \frac{1}{2}(y-0)$ $L(x, y)=1+\displaystyle \frac{1}{2}y$.
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