Calculus, 10th Edition (Anton)

Published by Wiley
ISBN 10: 0-47064-772-8
ISBN 13: 978-0-47064-772-1

Chapter 13 - Partial Derivatives - 13.9 Lagrange Multipliers - Exercises Set 13.9 - Page 996: 22

Answer

$P_{1}(1,1,0,)$ and $P_{2}(-1,-1,0)$

Work Step by Step

The square of the distance from $P(x, y)$ to the origin can be written as \[ \sqrt{x^{2}+y^{2}+z^{2}}=f(x, y, z)=d^{2}(x, y, z) \] Taking into account the comtraint $x y-z^{2}=1(\mathbf{P}$ on the surface), we can use Lagrange Multipliers: \[ \nabla f=\lambda \nabla g \Rightarrow 2 x \mathbf{i}+2 y \mathbf{j}+2 z \mathbf{k}=\lambda(y \mathbf{i}+x \mathbf{j}-2=\mathbf{k}) \] So: \[ \lambda=\frac{2 x}{y}=\frac{2 y}{x}=\frac{2 z}{-2 z}=-1 \] Using these relationships on the given constraint \[ \begin{array}{r} 2 x^{2}=2 y^{2} \Rightarrow x=\pm y=-1 \\ x y-z^{2}=1 \Rightarrow \pm x(x)-z^{2}=1 \Rightarrow z=0 \end{array} \] Hence, $P_{1}(1,1,0,)$ and $P_{2}(-1,-1,0)$ are points at which d has absolute extrema. They are the points on the surface closest to the origin. \[ d(\pm 1,\pm 1,0)=\sqrt{1^{2}+1^{2}+0^{2}}=\sqrt{2}=d \]
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