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: 44

Answer

The global minimum is $f\left( {1,0} \right) = f\left( { - 1,0} \right) = - \frac{1}{{\rm{e}}}$ and the global maximum is $f\left( {0,1} \right) = f\left( {0, - 1} \right) = \frac{4}{{\rm{e}}}$.

Work Step by Step

We have $f\left( {x,y} \right) = \left( {4{y^2} - {x^2}} \right){{\rm{e}}^{ - {x^2} - {y^2}}}$ on the domain ${x^2} + {y^2} \le 2$. Step 1. Find the critical points on the domain and evaluate $f$ at these points The partial derivatives are ${f_x} = - 2x{{\rm{e}}^{ - {x^2} - {y^2}}} - 2x\left( {4{y^2} - {x^2}} \right){{\rm{e}}^{ - {x^2} - {y^2}}}$ $ = \left( {2{x^3} - 8x{y^2} - 2x} \right){{\rm{e}}^{ - {x^2} - {y^2}}}$ ${f_y} = 8y{{\rm{e}}^{ - {x^2} - {y^2}}} - 2y\left( {4{y^2} - {x^2}} \right){{\rm{e}}^{ - {x^2} - {y^2}}}$ $ = \left( { - 8{y^3} + 2{x^2}y + 8y} \right){{\rm{e}}^{ - {x^2} - {y^2}}}$ To find the critical points we solve the equations ${f_x} = 0$ and ${f_y} = 0$: ${f_x} = \left( {2{x^3} - 8x{y^2} - 2x} \right){{\rm{e}}^{ - {x^2} - {y^2}}} = 0$ ${f_y} = \left( { - 8{y^3} + 2{x^2}y + 8y} \right){{\rm{e}}^{ - {x^2} - {y^2}}} = 0$ Since ${{\rm{e}}^{ - {x^2} - {y^2}}} \ne 0$, the above set of equations reduce to $x\left( {{x^2} - 4{y^2} - 1} \right) = 0$ $y\left( { - 4{y^2} + {x^2} + 4} \right) = 0$ From the first equation we obtain $x=0$, ${\ \ \ }$ ${x^2} - 4{y^2} - 1 = 0$ From the second equation we obtain $y=0$, ${\ \ \ }$ $ - 4{y^2} + {x^2} + 4 = 0$ Substituting $x=0$ in $ - 4{y^2} + {x^2} + 4 = 0$ gives $y = \pm 1$. So, the solutions are $\left( {0,1} \right)$ and $\left( {0, - 1} \right)$. Substituting $y=0$ in ${x^2} - 4{y^2} - 1 = 0$ gives $x = \pm 1$. So, the solutions are $\left( {1,0} \right)$ and $\left( { - 1,0} \right)$. So, the critical points are $\left( {0,0} \right)$, $\left( {0,1} \right)$, $\left( {0, - 1} \right)$, $\left( {1,0} \right)$ and $\left( { - 1,0} \right)$. The extreme values of $f$ corresponding to these critical points are $f\left( {0,0} \right) = 0$, $f\left( {0,1} \right) = \frac{4}{{\rm{e}}}$, $f\left( {0, - 1} \right) = \frac{4}{{\rm{e}}}$, $f\left( {1,0} \right) = - \frac{1}{{\rm{e}}}$ and $f\left( { - 1,0} \right) = - \frac{1}{{\rm{e}}}$. Step 2. Check the boundaries The boundary is the circle: ${x^2} + {y^2} = 2$. We restrict the function $f$ along the boundary and obtain $g\left( x \right) = \left( {4\left( {2 - {x^2}} \right) - {x^2}} \right){{\rm{e}}^{ - 2}} = \frac{1}{{{{\rm{e}}^2}}}\left( {8 - 5{x^2}} \right)$ We find the extreme value of $g$ by solving the equation $g'\left( x \right) = 0$: $g'\left( x \right) = - \frac{{10}}{{{{\rm{e}}^2}}}x = 0$ The critical point is at $x=0$. So, the extreme value is $g\left( 0 \right) = \frac{8}{{{{\rm{e}}^2}}}$ or $f\left( {0, \pm \sqrt 2 } \right) = \frac{8}{{{{\rm{e}}^2}}}$. Since the $x$-interval is $ - \sqrt 2 \le x \le \sqrt 2 $, we have $g\left( {\sqrt 2 } \right) = g\left( { - \sqrt 2 } \right) = - \frac{2}{{{{\rm{e}}^2}}}$. Step 3. Compare the results Comparing the results from Step 1 and Step 2 we obtain the global minimum $f\left( {1,0} \right) = f\left( { - 1,0} \right) = - \frac{1}{{\rm{e}}}$ and the global maximum $f\left( {0,1} \right) = f\left( {0, - 1} \right) = \frac{4}{{\rm{e}}}$.
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