An ellipsoid is a quadric surface, that is a surface that may be defined as the zero set of a polynomial of degree two in three variables. Among quadric surfaces, an ellipsoid is characterized by any of the two following properties. Every planar cross section is either an ellipse, or is empty, or is reduced to a single point (this explains the name, meaning "ellipse like"). It is bounded, which means that it may be enclosed in a sufficiently large sphere.
An ellipsoid has three pairwise perpendicular axes of symmetry which intersect at a center of symmetry, called the center of the ellipsoid. The line segments that are delimited on the axes of symmetry by the ellipsoid are called the principal axes, or simply axes of the ellipsoid. If the three axes have different lengths, the ellipsoid is said to be tri-axial or (rarely) scalene, and the axes are uniquely defined.
If two of the axes have the same length, then the ellipsoid is an "ellipsoid of revolution", also called a spheroid. In this case, the ellipsoid is invariant under a rotation around the third axis, and there are thus infinitely many ways of choosing the two perpendicular axes of the same length. If the third axis is shorter, the ellipsoid is an oblate spheroid, if it is longer, it is prolate spheroid. If the three axes have the same length, the ellipsoid is a sphere.
When choosing a Cartesian coordinate system, such that the origin is the center of the ellipsoid, and the coordinate axes are axes of the ellipsoid, the implicit equation of the ellipsoid has the standard form
where a, b, c are positive real numbers.
The points (a, 0, 0), (0, b, 0) and (0, 0, c) lie on the surface. The line segments from the origin to these points are called the semi-principal axes of the ellipsoid, because a, b, c are half the length of the principal axes. They correspond to the semi-major axis and semi-minor axis of an ellipse.
It is easy to check: The intersection of a plane and a sphere is:
- empty, or
- a point, or
- a circle.
Because any ellipsoid is an affine image of the unit sphere and circles are mapped onto ellipses by affine transformations, one gets:
The intersection of a plane with an ellipsoid is:
- empty, or
- a point (the plane is a tangent plane), or
- an ellipse
Remark: The contour of an ellipsoid, seen from a point outside the ellipsoid (centralprojection) or from infinity (parallel projection), is in any case a plane section, hence an ellipse (see pictures).
The ellipsoid may be parameterized in several ways, which are simpler to express when the ellipsoid axes coincide with coordinate axes. A common choice is
These parameters may be interpreted as spherical coordinates. More precisely, is the polar angle, and is the azimuth angle of the point (x, y, z) of the ellipsoid.
In general positionEdit
More generally, an arbitrarily oriented ellipsoid, centered at v, is defined by the solutions x to the equation
The eigenvectors of A define the principal axes of the ellipsoid and the eigenvalues of A are the reciprocals of the squares of the semi-axes: , and . An invertible linear transformation applied to a sphere produces an ellipsoid, which can be brought into the above standard form by a suitable rotation, a consequence of the polar decomposition (also, see spectral theorem). If the linear transformation is represented by a symmetric 3-by-3 matrix, then the eigenvectors of the matrix are orthogonal (due to the spectral theorem) and represent the directions of the axes of the ellipsoid: the lengths of the semiaxes are given by the eigenvalues. The singular value decomposition and polar decomposition are matrix decompositions closely related to these geometric observations.
The key to a parametric representation of an ellipsoid in general position is the alternative definition:
- An ellipsoid is an affine image of the unit sphere.
An affine transformation can be represented by a translation with a vector and a regular 3×3-matrix :
where are the column vectors of matrix .
A parametric representation of an ellipsoid in general position can be obtained by the parametric representation of a unit sphere (see above) and an affine transformation:
If the vectors form an orthogonal system, the points with vectors are the vertices of the ellipsoid and are the semi principal axes.
A surface normal vector at point is
Volume and surface areaEdit
The volume bounded by the ellipsoid is
which, as follows from basic trigonometric identities, are equivalent expressions (i.e. the formula for can be used to calculate the surface area of a prolate ellipsoid and vice versa). In both cases e may again be identified as the eccentricity of the ellipse formed by the cross section through the symmetry axis. (See ellipse). Derivations of these results may be found in standard sources, for example Mathworld.
Here p ≈ 1.6075 yields a relative error of at most 1.061%; a value of p = 8/5 = 1.6 is optimal for nearly spherical ellipsoids, with a relative error of at most 1.178%.
In the "flat" limit of c much smaller than a, b, the area is approximately 2πab.
The ellipsoidal shape finds many practical applications:
- Earth ellipsoid, a mathematical figure approximating the shape of the Earth.
- Reference ellipsoid, a mathematical figure approximating the shape planetary bodies in general.
- Poinsot's ellipsoid, a geometrical method for visualizing the torque-free motion of a rotating rigid body.
- Lamé's stress ellipsoid, an alternative to Mohr's circle for the graphical representation of the stress state at a point.
- Manipulability ellipsoid, used to describe a robot's freedom of motion.
- Index ellipsoid, a diagram of an ellipsoid that depicts the orientation and relative magnitude of refractive indices in a crystal.
- Thermal ellipsoid, ellipsoids used in crystallography to indicate the magnitudes and directions of the thermal vibration of atoms in crystal structures.
The mass of an ellipsoid of uniform density ρ is:
The moments of inertia of an ellipsoid of uniform density are:
For a=b=c these moments of inertia reduce to those for a sphere of uniform density.
Ellipsoids and cuboids rotate stably along their major or minor axes, but not along their median axis. This can be seen experimentally by throwing an eraser with some spin. In addition, moment of inertia considerations mean that rotation along the major axis is more easily perturbed than rotation along the minor axis.
One practical effect of this is that scalene astronomical bodies such as Haumea generally rotate along their minor axes (as does Earth, which is merely oblate); in addition, because of tidal locking, moons in synchronous orbit such as Mimas orbit with their major axis aligned radially to their planet.
A relaxed ellipsoid, that is, one in hydrostatic equilibrium, has an oblateness a − c directly proportional to its mean density and mean radius. Ellipsoids with a differentiated interior—that is, a denser core than mantle—have a lower oblateness than a homogeneous body. Over all, the ratio (b – c)/(a − c) is approximately 0.25, though this drops for rapidly rotating bodies.
The terminology typically used for bodies physically rotating on their minor axis – not necessarily ellipsoids of revolution, in their mathematical construction – and whose shape is determined by their gravitational field is Maclaurin spheroid (oblate spheroid) and Jacobi ellipsoid (scalene ellipsoid). At faster rotations, piriform or oviform shapes can be expected, but these are not stable.
The ellipsoid is the most general shape for which it has been possible to calculate the creeping flow of fluid around the solid shape. The calculations include the force required to translate through a fluid and to rotate within it. Applications include determining the size and shape of large molecules, the sinking rate of small particles, and the swimming abilities of microorganisms.
In probability and statisticsEdit
The elliptical distributions, which generalize the multivariate normal distribution and are used in finance, can be defined in terms of their density functions. When they exist, the density functions f have the structure:
where is a scale factor, is an -dimensional random row vector with median vector (which is also the mean vector if the latter exists), is a positive definite matrix which is proportional to the covariance matrix if the latter exists, and is a function mapping from the non-negative reals to the non-negative reals giving a finite area under the curve. The multivariate normal distribution is the special case in which for quadratic form .
Thus the density function is a scalar-to-scalar transformation of a quadric expression. Moreover, the equation for any iso-density surface states that the quadric expression equals some constant specific to that value of the density, and the iso-density surface is an ellipsoid.
In higher dimensionsEdit
The volume of a higher-dimensional ellipsoid (a hyperellipsoid) can be calculated using the dimensional constant given for the volume of a hypersphere. One can also define hyperellipsoids as the images of spheres under invertible linear transformations. The spectral theorem can again be used to obtain a standard equation akin to the one given above.
- Ellipsoid method
- Ellipsoidal coordinates
- Elliptical distribution, in statistics
- Focaloid, a shell bounded by two concentric, confocal ellipsoids
- Haumea, a scalene-ellipsoid-shaped dwarf planet
- Homoeoid, a shell bounded by two concentric, similar ellipsoids
- Rotation of axes
- Translation of axes
- Computerunterstützte Darstellende und Konstruktive Geometrie. Uni Darmstadt (PDF; 3,4 MB), S. 88.
- F. W. J. Olver, D. W. Lozier, R. F. Boisvert, and C. W. Clark, editors, 2010, NIST Handbook of Mathematical Functions (Cambridge University Press), available on line at http://dlmf.nist.gov/19.33 (see next reference).
- NIST (National Institute of Standards and Technology) at http://www.nist.gov
- Prolate Spheroid at Mathworld
- Final answers by Gerard P. Michon (2004-05-13). See Thomsen's formulas and Cantrell's comments.
- Goldstein, H G (1980). Classical Mechanics, (2nd edition) Chapter 5.
- "Shapes of the Saturnian Icy Satellites" (PDF).
- Dusenbery, David B. (2009).Living at Micro Scale, Harvard University Press, Cambridge, Mass. ISBN 978-0-674-03116-6.
- Frahm, G., Junker, M., & Szimayer, A. (2003). Elliptical copulas: applicability and limitations. Statistics & Probability Letters, 63(3), 275–286.