Calculus, 10th Edition (Anton)

Published by Wiley
ISBN 10: 0-47064-772-8
ISBN 13: 978-0-47064-772-1

Chapter 13 - Partial Derivatives - 13.8 Maxima And Minima Of Functions Of Two Variables - Exercises Set 13.8 - Page 987: 32

Answer

At $P(1,3)$, f has the absolute maximum.

Work Step by Step

We determine the critical points using the first derivative test \[ \begin{array}{l} f_{x}=0 \Rightarrow y-2=0 \Rightarrow y=2 \\ f_{y}=0 \Rightarrow 0=x \end{array} \] Hence $P(0,2)$ is a critical point. Now we can use the second derivative test \[ f_{x x}=f_{y y}=0, \quad f_{x y}=1, \text { resulting } D=f_{x x} f_{y y}-f_{x y}^{2}=-1<0 \] Since $D<0, f$ has a saddle point at $P(0,2)$ Now we evaluate our function over the boundaries of the triangle. The equation of the line that passes through $P_{1}(0,0)$ and $P_{2}(0,4)$ is $x=0$, and when $x=0, f(x, y)=0,(y)-2(0)=0$. $y=0$ is the horizontal line that passes through $P_{1}(0,0)$ and $P_{3}(4,0)$, resulting in $y=0, f(x, y)=-2 x \leq 0$ for $x \geq 0$ Finally, $y=-x+4$ is the line that passes through $P_{2}(0,4)$ and $P_{3}(4,0)$ Using the equation of this line: \[ f(x, y)=x y-2 x=x(-x+4)-2 x=-x^{2}+4 x-2 x=x(2-x) \] Using the first derivative test: \[ f_{x}=0 \Rightarrow 2(1-x)=0 \Rightarrow 1=x \] Evaluating at $x=1$, $y=3$. Finally at $P(1,3)$, f has the absolute maximum.
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