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 986: 14

Answer

\[ \begin{array}{l} e^{y}=f_{x}(x, y) \\ x \cdot e^{y}=f_{y}(x, y) \end{array} \] No critical points

Work Step by Step

\[ \begin{array}{l} e^{y}=f_{x}(x, y) \\ x \cdot e^{y}=f_{y}(x, y) \end{array} \] At critical points, $e^{y}=0,$ and $x . e^{y}=0$ However, $e^{y}$ cannot be equal to 0. Thus, there are no critical points, and there will be no local extrema or saddle points.
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