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: 48

Answer

The point $\left( {\frac{1}{3}, - \frac{2}{3},\frac{2}{3}} \right)$ on the plane is closest to the point $P = \left( {1,0,0} \right)$.

Work Step by Step

We have the plane $z=x+y+1$ and a point $P = \left( {1,0,0} \right)$. The square of the distance from $P$ to the plane is given by $f\left( {x,y} \right) = {\left( {x - 1} \right)^2} + {y^2} + {\left( {x + y + 1} \right)^2}$ $ = 2{x^2} + 2{y^2} + 2xy + 2y + 2$ The partial derivatives are ${f_x} = 4x + 2y$, ${\ \ \ }$ ${f_y} = 4y + 2x + 2$ The point on the plane closest to $P$ is the point where $f\left( {x,y} \right)$ is minimal. Thus, we find the critical points of $f$ by solving the equations ${f_x} = 0$ and ${f_y} = 0$: ${f_x} = 4x + 2y = 0$, ${\ \ }$ ${f_y} = 4y + 2x + 2 = 0$ From the first equation we get $y=-2x$. Substituting it in the second equation gives $x = \frac{1}{3}$. So, the critical point is $\left( {\frac{1}{3}, - \frac{2}{3}} \right)$. The second partial derivatives are ${f_{xx}} = 4$, ${\ \ \ }$ ${f_{yy}} = 4$, ${\ \ \ }$ ${f_{xy}} = 2$ The discriminant is $D = {f_{xx}}{f_{yy}} - {f_{xy}}^2 = 12 > 0$. By Theorem 2, $f\left( {\frac{1}{3}, - \frac{2}{3}} \right) = \frac{4}{3}$ is a local minimum. Using the equation $z=x+y+1$ we obtain the point $\left( {\frac{1}{3}, - \frac{2}{3},\frac{2}{3}} \right)$ on the plane which is closest to the point $P = \left( {1,0,0} \right)$.
Update this answer!

You can help us out by revising, improving and updating this answer.

Update this answer

After you claim an answer you’ll have 24 hours to send in a draft. An editor will review the submission and either publish your submission or provide feedback.