Calculus 8th Edition

Published by Cengage
ISBN 10: 1285740629
ISBN 13: 978-1-28574-062-1

Chapter 14 - Partial Derivatives - 14.7 Maximum and Minimum Values - 14.7 Exercises - Page 1008: 4

Answer

Local minimum and maximum at $(-1,\pm 1)$; Saddle point at $(-1,0),(1,\pm 1)$

Work Step by Step

Given: $f(x,y)=3x-x^3-2y^2+y^4$ This yields $f_x(x,y)=3-3x^2$ and $f_y(x,y)=4y^3-4y$ and $(x,y)=(-1,\pm 1)$ or $(1,0)$. To solve this problem we will take the help of Second derivative test that suggests the following conditions to determine the local minimum, local maximum and saddle points of $f(x,y)$ or $f(x,y,z)$. i) If $D(p,q)=f_{xx}(p,q)f_{yy}(p,q)-[f_{xy}(p,q)]^2 \gt 0$ and $f_{xx}(p,q)\gt 0$ , then $f(p,q)$ is a local minimum. ii) If $D(p,q)=f_{xx}(p,q)f_{yy}(p,q)-[f_{xy}(p,q)]^2 \gt 0$ and $f_{xx}(p,q)\lt 0$ , then $f(p,q)$ is a local maximum. iii) If $D(p,q)=f_{xx}(p,q)f_{yy}(p,q)-[f_{xy}(p,q)]^2 \lt 0$ , then $f(p,q)$ is a not a local minimum and local maximum or, a saddle point. Hence, Local minimum and maximum at $(-1,\pm 1)$; saddle point at $(-1,0),(1,\pm 1)$.
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