Calculus (3rd Edition)

Published by W. H. Freeman
ISBN 10: 1464125260
ISBN 13: 978-1-46412-526-3

Chapter 14 - Calculus of Vector-Valued Functions - 14.4 Curvature - Exercises - Page 735: 26

Answer

From the figure we see that the ellipse bends minimally at $t = \frac{\pi }{2}$ and $t = \frac{{3\pi }}{2}$. Whereas at $t=0$ and $t = \pi $, it bends maximally. Applying Eq. (10) confirms our prediction.

Work Step by Step

Without loss of generality, let $a>b$, where $a$ is the semimajor axis located in the $x$-axis; and $b$ is the semiminor axis located in the $y$-axis (see the figure attached). Note that this assumption conforms to the notation in Eq. (10). Since curvature is a measure of how much a curve bends, from the figure we see that the ellipse bends minimally at $t = \frac{\pi }{2}$ and $t = \frac{{3\pi }}{2}$. Whereas at $t=0$ and $t = \pi $, it bends maximally. Thus, we predict that the points of minimal curvature occurs at $t = \frac{\pi }{2}$ and $t = \frac{{3\pi }}{2}$, and the points of maximal curvature occurs at $t=0$ and $t = \pi $. Now, we use Eq. (10) of Exercise 25 for the ellipse ${\left( {\frac{x}{a}} \right)^2} + {\left( {\frac{y}{b}} \right)^2} = 1$ to confirm our prediction: $\kappa \left( t \right) = \frac{{ab}}{{{{\left( {{b^2}{{\cos }^2}t + {a^2}{{\sin }^2}t} \right)}^{3/2}}}}$ Since $a$ and $b$ are constants, $\kappa \left( t \right)$ is minimal if the denominator is maximal. Whereas, $\kappa \left( t \right)$ is maximal if the denominator is minimal. Since $0 \le {\cos ^2}t \le 1$, $0 \le {\sin ^2}t \le 1$ and $a>b$, the denominator is maximal at the points where $t = \frac{\pi }{2}$ and $t = \frac{{3\pi }}{2}$. Thus, the curvature is minimal at $t = \frac{\pi }{2}$ and $t = \frac{{3\pi }}{2}$. Similarly, the denominator is minimal at the points where $t=0$ and $t = \pi $. Thus, the curvature is maximal at $t=0$ and $t = \pi $.
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