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: 10

Answer

The critical point and its nature: $\begin{array}{*{20}{c}} {{\bf{Critical}}}&{{f_{xx}}}&{{f_{yy}}}&{{f_{xy}}}&{{\bf{Discriminant}}}&{}\\ {{\bf{Point}}}&{6xy + 24}&0&{3{x^2}}&{D = {f_{xx}}{f_{yy}} - {f_{xy}}^2}&{{\bf{Type}}}\\ {\left( {2, - 4} \right)}&{ - 24}&0&{12}&{ - 144}&{{\rm{saddle{\ }point}}} \end{array}$

Work Step by Step

We have $f\left( {x,y} \right) = {x^3}y + 12{x^2} - 8y$. The partial derivatives are ${f_x} = 3{x^2}y + 24x$, ${\ \ \ }$ ${f_y} = {x^3} - 8$ ${f_{xx}} = 6xy + 24$, ${\ \ }$ ${f_{yy}} = 0$, ${\ \ }$ ${f_{xy}} = 3{x^2}$ To find the critical points we solve the equations ${f_x} = 0$ and ${f_y} = 0$: ${f_x} = 3{x^2}y + 24x = 0$, ${\ \ }$ ${f_y} = {x^3} - 8 = 0$ From the second equation we get $x=2$. Substituting it in the first equation gives $12y + 48 = 0$, ${\ \ \ }$ $y = - 4$ So, there is only one critical point: $\left( {2, - 4} \right)$. Next, we use the Second Derivative Test to determine the nature of the critical point. The results are listed in the following table: $\begin{array}{*{20}{c}} {{\bf{Critical}}}&{{f_{xx}}}&{{f_{yy}}}&{{f_{xy}}}&{{\bf{Discriminant}}}&{}\\ {{\bf{Point}}}&{6xy + 24}&0&{3{x^2}}&{D = {f_{xx}}{f_{yy}} - {f_{xy}}^2}&{{\bf{Type}}}\\ {\left( {2, - 4} \right)}&{ - 24}&0&{12}&{ - 144}&{{\rm{saddle{\ }point}}} \end{array}$
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