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 823: 45

Answer

The global minimum is $f\left( { - 0.43,0.9} \right) = f\left( { - 0.43, - 0.9} \right) = - 0.52$ and the global maximum is $f\left( {0.77,0.64} \right) = f\left( {0.77, - 0.64} \right) = 1.22$.

Work Step by Step

We have $f\left( {x,y} \right) = {x^2} + 2x{y^2}$ on the domain ${x^2} + {y^2} \le 1$. Step 1. Find the critical points on the domain and evaluate $f$ at these points The partial derivatives are ${f_x} = 2x + 2{y^2}$ ${\ \ \ }$ ${f_y} = 4xy$ To find the critical points we solve the equations ${f_x} = 0$ and ${f_y} = 0$: ${f_x} = 2x + 2{y^2} = 0$ ${\ \ }$ ${f_y} = 4xy = 0$ From the second equation we obtain $x=0$ or $y=0$. Substituting $x=0$ in the first equation gives $y=0$. Substituting $y=0$ in the first equation gives $x=0$. So, there is only one critical point at $\left( {0,0} \right)$. The extreme value is $f\left( {0,0} \right) = 0$. Step 2. Check the boundaries The boundary is the circle: ${x^2} + {y^2} = 1$. We restrict the function $f$ along the boundary and obtain $g\left( x \right) = {x^2} + 2x\left( {1 - {x^2}} \right) = - 2{x^3} + {x^2} + 2x$ We find the extreme value of $g$ by solving the equation $g'\left( x \right) = 0$: $g'\left( x \right) = - 6{x^2} + 2x + 2 = 0$ $3{x^2} - x - 1 = 0$ The solutions are $x = \frac{{1 \pm \sqrt {1 + 12} }}{6} = \frac{{1 \pm \sqrt {13} }}{6}$. So, the critical points are $x \simeq 0.77$ and $x \simeq - 0.43$. The corresponding extreme values are given below $\begin{array}{*{20}{c}} x&y&{f\left( {x,y} \right)}\\ {0.77}&{0.64}&{1.22}\\ {0.77}&{ - 0.64}&{1.22}\\ { - 0.43}&{0.9}&{ - 0.52}\\ { - 0.43}&{ - 0.9}&{ - 0.52} \end{array}$ Step 3. Compare the results Comparing the results from Step 1 and Step 2 we obtain the global minimum $f\left( { - 0.43,0.9} \right) = f\left( { - 0.43, - 0.9} \right) = - 0.52$ and the global maximum $f\left( {0.77,0.64} \right) = f\left( {0.77, - 0.64} \right) = 1.22$.
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