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: 2

Answer

1. $f\left( {x,y} \right) = {x^2} + 2{y^2} - 4y + 6x$. Critical point: $\left( {x,y} \right) = \left( { - 3,1} \right)$ $f\left( { - 3,1} \right)$ is a local minimum. $f\left( {x,y} \right)$ matches graph (B) in Figure 19. 2. $g\left( {x,y} \right) = {x^2} - 12xy + y$. Critical point: $\left( {x,y} \right) = \left( {\frac{1}{{12}},\frac{1}{{72}}} \right)$. $\left( {\frac{1}{{12}},\frac{1}{{72}}} \right)$ is a saddle point. $g\left( {x,y} \right)$ matches graph (A) in Figure 19. In summary: $\begin{array}{*{20}{c}} {{\bf{Function}}}&{{\bf{Critical{\ }point}}}&{{\bf{Type}}}&{{\bf{Match}}}\\ {f\left( {x,y} \right) = {x^2} + 2{y^2} - 4y + 6x}&{\left( { - 3,1} \right)}&{{\rm{local{\ }minimum}}}&{{\rm{graph }}\left( {\rm{B}} \right)}\\ {g\left( {x,y} \right) = {x^2} - 12xy + y}&{\left( {\frac{1}{{12}},\frac{1}{{72}}} \right)}&{{\rm{saddle{\ }point}}}&{{\rm{graph }}\left( {\rm{A}} \right)} \end{array}$

Work Step by Step

1. We have $f\left( {x,y} \right) = {x^2} + 2{y^2} - 4y + 6x$. The partial derivatives are ${f_x} = 2x + 6$, ${\ \ \ }$ ${f_y} = 4y - 4$ To find the critical points we solve the equations ${f_x} = 0$ and ${f_y} = 0$: $2x + 6 = 0$, ${\ \ \ }$ $x=-3$ $4y-4=0$, ${\ \ \ }$ $y=1$ So, there is only one critical point at $\left( {x,y} \right) = \left( { - 3,1} \right)$. The Second Derivative Test: We evaluate the partial derivatives ${f_{xx}} = 2$, ${\ \ }$ ${f_{yy}} = 4$, ${\ \ }$ ${f_{xy}} = 0$ The discriminant at $\left( {x,y} \right) = \left( { - 3,1} \right)$ is $D = {f_{xx}}{f_{yy}} - {f_{xy}}^2 = 8$ Since $D > 0$ and ${f_{xx}} > 0$, by the Second Derivative Test, $f\left( { - 3,1} \right)$ is a local minimum. Thus, $f\left( {x,y} \right)$ matches graph (B) in Figure 19. 2. We have $g\left( {x,y} \right) = {x^2} - 12xy + y$. The partial derivatives are ${g_x} = 2x - 12y$, ${\ \ \ }$ ${g_y} = - 12x + 1$ To find the critical points we solve the equations ${g_x} = 0$ and ${g_y} = 0$: $2x - 12y = 0$, ${\ \ \ }$ $ - 12x + 1 = 0$ From the second equation we obtain $x = \frac{1}{{12}}$. Substituting it in the first gives $y = \frac{1}{{72}}$. So, there is only one critical point at $\left( {x,y} \right) = \left( {\frac{1}{{12}},\frac{1}{{72}}} \right)$. The Second Derivative Test: We evaluate the partial derivatives ${g_{xx}} = 2$, ${\ \ }$ ${g_{yy}} = 0$, ${\ \ }$ ${g_{xy}} = - 12$ The discriminant at $\left( {x,y} \right) = \left( {\frac{1}{{12}},\frac{1}{{72}}} \right)$ is $D = {g_{xx}}{g_{yy}} - {g_{xy}}^2 = - 144$ Since $D < 0$, by the Second Derivative Test, $\left( {\frac{1}{{12}},\frac{1}{{72}}} \right)$ is a saddle point. Thus, $g\left( {x,y} \right)$ matches graph (A) in Figure 19.
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