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 822: 6

Answer

$f$ has one critical point at $P = \left( {0,0} \right)$. Since ${f_x}$ and ${f_y}$ do not exist at $P = \left( {0,0} \right)$, $f$ is nondifferentiable at $P$. $f$ has a minimum value at $P$.

Work Step by Step

We have $f\left( {x,y} \right) = \sqrt {{x^2} + {y^2}} $. Since the right hand side is non-negative, the minimum value of $f$ is $0$. Thus, the critical point is $P = \left( {0,0} \right)$. We conclude that $f$ has a minimum value at $P$. The partial derivatives are ${f_x} = \frac{x}{{\sqrt {{x^2} + {y^2}} }}$, ${\ \ }$ ${f_y} = \frac{y}{{\sqrt {{x^2} + {y^2}} }}$ However, ${f_x}$ and ${f_y}$ do not exist at $P = \left( {0,0} \right)$. Therefore, $f$ is nondifferentiable at $P$.
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