Calculus (3rd Edition)

Published by W. H. Freeman
ISBN 10: 1464125260
ISBN 13: 978-1-46412-526-3

Chapter 15 - Differentiation in Several Variables - 15.7 Optimization in Several Variables - Exercises - Page 821: 4

Answer

1. Critical point $A$, a local maximum. 2. Critical point $B$, a saddle point. 3. Critical point $C$, a local minimum. 4. Critical point $D$, a saddle point.

Work Step by Step

1. Critical point $A$ No matter which direction we walk, it will take us downhill, so it is a local maximum. 2. Critical point $B$ If we walk in the directions $ + {\bf{i}}$ or $ - {\bf{i}}$, it will take us uphill. If we walk in the directions $ + {\bf{j}}$ or $ - {\bf{j}}$, it will take us downhill. Therefore, we conclude that it is a saddle point. 3. Critical point $C$ No matter which direction we walk, it will take us uphill, so it is a local minimum. 4. Critical point $D$ If we walk in the directions $ + {\bf{i}}$ or $ - {\bf{i}}$, it will take us downhill. If we walk in the directions $ + {\bf{j}}$ or $ - {\bf{j}}$, it will take us uphill. Therefore, we conclude that it is a saddle point.
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