Let be the filled projected ellipse. The part of the plane bounded by is the parametrized surface
Its tangent vectors satisfy
The surface area is therefore
This also illustrates the orthogonal projection area formula: the unit normal to the plane has vertical component , so projection multiplies area by .
Assume . The velocity in polar coordinates is . Hence
Taking the dot product of the conserved Laplace-Runge-Lenz vector with gives
Consequently the polar equation of a conic is
Only angles for which the denominator is positive describe the physical trajectory. Its eccentricity is , giving an ellipse, parabola, or hyperbola when this ratio is respectively less than, equal to, or greater than .
If , the angle is undefined, but the same dot product identity gives the circular orbit . If , the trajectory is radial and the displayed division degenerates; for , and on a fixed ray, so the identity does not determine as a function of a varying angle.
An equilibrium point has and . Since , the linearized displacement satisfies
Thus gives a stable equilibrium, while gives an unstable equilibrium point. More generally, a strict local minimum of is sufficient for stability by the conserved first integral in b. When , the second-derivative test alone is inconclusive, and the local shape of must be examined.
For the specified ellipse, put . Direct differentiation gives
Consequently, with and ,
Two equilibria always occur at . Any further equilibria must satisfy
To decide exactly when this is possible, view the equation as with . Its derivative is positive on , and it takes endpoint values and . Since implies , the complete list is:
  • If , there are four distinct equilibria modulo : , , and . For the additional positive angle lies in ; at the additional pair is ; for it lies in .
  • If , the additional pair merges with , leaving two distinct equilibria, and .
  • If , there are only the two equilibria and . In particular, does not introduce a missing case: the undivided bracket is then the positive constant , so there is no extra root.
These are positions of the bead at rest relative to the rotating hoop. No stability classification of the particular ellipse is needed.
Use the parametric curve
Here , so the ellipse stays strictly above the axis of rotation . Rotating in three dimensions gives a surface of revolution with parametrization
The two parameter tangent vectors are orthogonal, with Euclidean norms and . Hence the area element of a surface is
The generating ellipse is simple and has positive distance from the axis of rotation; its rotation sweeps the surface once, apart from the identified parameter endpoints. Also
Writing , the surface area is therefore . Since and ,
Consequently
The cancellation is an instance of the surface area of revolution of a centrally symmetric curve: the surface area is the generating curve’s arc length times the distance traveled by its center.
Choose the rotated Cartesian coordinates
Their inverse is , . Consequently and , giving the canonical form of a quadric
The orthogonal diagonalization identifies the eigenvalues of the symmetric matrix of the quadratic form.
For , all three coefficients are positive: the surface is an ellipsoid with semiaxes . At it is a sphere.
For , the equation is , an elliptic cylinder parallel to the axis. For , it is , an elliptic cylinder parallel to the axis. The absent coordinate is unrestricted; its disappearance does not turn the surface into an ellipse.
For , the negative coefficient is that of : this is a one-sheet hyperboloid with axis . For , the negative coefficient is that of : it is a one-sheet hyperboloid with axis . This gives the signature transition from an ellipsoid to an elliptic cylinder and a one-sheet hyperboloid, including both transition values.
Near a nondegenerate stationary point, the quadratic part of the Taylor expansion determines the local contour plot. For a strict local maximum, the model gives nested closed level sets, with values decreasing as one moves outward. For a strict local minimum, the model gives the same nested shape with values increasing outward. Unequal nonzero quadratic coefficients stretch the circles into ellipses after a rotation to the Hessian matrix's eigenvectors.
For a nondegenerate saddle point of a scalar function, the model gives hyperbolas. Levels above open along the positive-curvature direction; levels below open along the negative-curvature direction. The critical level set is the two crossing lines . Degenerate stationary points can have different local geometry, so these are the standard nondegenerate sketches.
Figure 1.
Local contours at a maximum, a minimum, and a saddle point
. Original quadratic-model sketches with contour values labelled relative to the central value zero. Maxima and minima have closed contours with opposite value ordering; the saddle has crossing zero contours and hyperbolic nearby levels. Details.
Expand . The Lagrange multiplier equations for are and , together with the constraint . The first two imply and . The value would make the latter equation inconsistent, so division is allowed:
Insert these into and multiply by . Simplification gives , hence
The gradient of the constraint is never zero, so the Lagrange multiplier condition is necessary at every constrained extremum. To establish a global minimum, parametrize the whole parabola by . The restricted function becomes
It is coercive: as , so it attains a global minimum. Moreover , making it strictly convex and ensuring that this minimum is unique. This proves more than the permitted assumption of one real multiplier root.
The level sets of are nested ellipses centered at the origin. In the rotated coordinates , , they have equation , with the longer axis along . The smallest one meeting the parabola is tangent to it at the unique minimizing point, approximately , where and .
Figure 1.
The smallest quadratic contour touching a parabolic constraint
. Original level-set plot. The highlighted ellipse is tangent to the parabola at the unique global minimum; larger quadratic contours intersect the constraint. Details.
Writing gives , . Substitute , into the original circle equation. This affine image of a circle is the ellipse
centered at with horizontal semiaxis sixteen and vertical semiaxis eight. The map covers the whole ellipse as covers the circle.
For , elimination of the trigonometric parameter gives
As real varies, the whole ellipse is traced, with semiaxes . Signs of affect the traversal direction but not the set. If , the locus is the vertical segment , ; if , it is the horizontal segment , . Both zero give only the origin.
Set . The gradient of never vanishes, so the Lagrange multiplier equations apply at a constrained stationary point. They are , , and . Eliminating gives
With , this becomes . The quadratic factor is , so the only real possibility is . Therefore
The level curve through this point is the ellipse , meeting the coordinate axes at and . Its tangent line at has slope , equal to the derivative of the constraint parabola there. The two curves are tangent.
Figure 1.
The smallest elliptical contour meeting the constraint is tangent at the minimum
. The highlighted contour is and the constraint is . Its four axis intercepts and the unique contact point are marked. Details.
The parabola touches this ellipse from outside; every other point on the constraint lies on a larger contour. An exact check of this geometric argument is
with equality only at . Thus the point is the unique constrained global minimum.
Since , the vector is perpendicular to :
It follows that . If , then ; if , then . Thus is the orthogonal projection matrix onto : it removes exactly the component normal to the plane.
For the equally inclined plane choose . Reversing its sign gives the same plane; other sign choices give equivalent reflections of the coordinate axes. One suitable orthonormal basis of this plane is
Their dot products with vanish, their lengths are one, and their mutual dot product is zero. The equal first two components of give its equal inclinations to . Because is already in the projection plane, . The coordinates of the projected point are therefore
For a circle of radius centered at the origin in , its equation becomes . This is an ellipse with semiaxes and . Translating the original center only translates its orthogonal projection, so the result applies to every circle in that plane. Consequently
The general reason is the orthogonal projection of a circle between planes: the direction common to the planes retains its length, while the perpendicular direction is shortened by the cosine of their angle.
The interior values satisfy away from the minimum. The contours are closed curves surrounding , approximately ellipses near that point, and approach the three edges as the level tends to zero. To see their shape globally, put , , . These are positive inside and satisfy , while . Since is strictly concave, its nonempty superlevel sets are convex and surround the unique maximum of . Thus the negative contours nest without additional components, as in the figure.
Eliminating the parameter gives , an ellipse centered at the origin with horizontal semiaxis one and vertical semiaxis two. At the particle is at with velocity , so it travels counterclockwise, reaching successively and returning after . The right panel of the graph figure shows this direction.
The domain of integration is the upper half of the ellipse . Reversing the order makes and . Thus
The inner antiderivative is , so the square of the upper limit removes the square root.
Multiplying the polar equation by its denominator gives . Squaring and using yields
Take . Completing the square gives
The standard ellipse equation is consequently
whose centre is . Squaring has introduced no unwanted branch: on this ellipse the minimum of is , so follows with the correct positive sign.
Let for the normalized eigenvectors already chosen. Then , , and orthogonal diagonalization gives
The ellipse has semi-axis lengths and along and , respectively. Rescale and to obtain the unit circle . Since ,
The identity checks the rescaling directly. Swapping or reversing eigenvectors gives other valid coordinate matrices; the displayed one follows the explicit choices in part (a).
Multiply the quadratic form out directly:
Thus , and . Both eigenvalues are positive, so this is a positive-definite quadratic form; its positive unit level set is an ellipse. The next part exhibits its principal axes explicitly.
Differentiating the parametrization gives and . Thus the arc length element is
All four quadrants give the same contribution. Consequently the ellipse perimeter is
The final factor is the complete elliptic integral of the second kind, evaluated at the eccentricity of a conic .