Calculus: Early Transcendentals 8th Edition

Published by Cengage Learning
ISBN 10: 1285741552
ISBN 13: 978-1-28574-155-0

Chapter 14 - Section 14.6 - Directional Derivatives and the Gradient Vector - 14.6 Exercise - Page 957: 7

Answer

a) $\nabla f(x,y)=\frac{1}{y} \hat{i}-\frac{x}{y^2}\hat{j}$ b) $<1,-2>$ c) $-1$

Work Step by Step

a) The gradient of $f(x,y)$ is the vector created by the partial derivative of $f$ with respect to $x$ and the partial derivative of $f$ with respect to $y$. $ f_{x} = 1/y $ ($1/y$ can be pulled out as a constant and the derivative of $x$ is $1$.) $ f_{y} = -x/y^2$ ($x$ can be pulled out as a constant and $1/y$ can be represented as $y^{-1}$ and then we solve using the power rule.) Set these two partial derivatives up as a vector to get the gradient $f(x,y)$ as: $\nabla f(x,y)=\frac{1}{y} \hat{i}-\frac{x}{y^2}\hat{j}$ b) We plug in the point $(2,1)$ for $x$ and $y$ in the gradient of $f(x,y)$ to get: $<1,-2>$ c) To find the rate of change of $f(x,y)$ at the given point in the direction of the vector u, you set up the formula: $Duf=f_{x}*a +f_{y}*b $ where a and b are the x and y components of the vector u given as $=<3/5, 4/5>$ (u must be a unit vector and in this case it already is). Plugging in the information given and what we solved in part b we get: $ Duf=1*(3/5)+ (-2)(4/5)$ = $-5/5=-1$
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