Eccentricity (mathematics)

Alternative names

The eccentricity is sometimes called the first eccentricity to distinguish it from the second eccentricity and third eccentricity defined for ellipses (see below). The eccentricity is also sometimes called the numerical eccentricity.

In the case of ellipses and hyperbolas the linear eccentricity is sometimes called the half-focal separation.

Notation

Three notational conventions are in common use:

1. e for the eccentricity and c for the linear eccentricity.
2. ε for the eccentricity and e for the linear eccentricity.
3. e or ϵ< for the eccentricity and f for the linear eccentricity (mnemonic for half-focal separation).

This article uses the first notation.

Values

Standard form

Here, for the ellipse and the hyperbola, a is the length of the semi-major axis and b is the length of the semi-minor axis.

General form

When the conic section is given in the general quadratic form

${\displaystyle A{x}^2+Bxy+C{y}^2+Dx+Ey+F=0,}$

the following formula gives the eccentricity e if the conic section is not a parabola (which has eccentricity equal to 1), not a degenerate hyperbola or degenerate ellipse, and not an imaginary ellipse:

${\displaystyle e=\sqrt{\frac{2\sqrt{(A-C{)}^2+B^2}}{\eta (A+C)+\sqrt{(A-C{)}^2+B^2}}}}$

where ${\displaystyle \eta =1}$ if the determinant of the 3×3 matrix

${\displaystyle \left[\begin{array}{ccc}A& B/2& D/2\\ B/2& C& E/2\\ D/2& E/2& F\end{array}\right]}$

is negative or ${\displaystyle \eta =-1}$ if that determinant is positive.

Ellipses

The eccentricity of an ellipse is strictly less than 1. When circles (which have eccentricity 0) are counted as ellipses, the eccentricity of an ellipse is greater than or equal to 0; if circles are given a special category and are excluded from the category of ellipses, then the eccentricity of an ellipse is strictly greater than 0.

For any ellipse, let a be the length of its semi-major axis and b be the length of its semi-minor axis. In the coordinate system with origin at the ellipse's center and x-axis aligned with the major axis, points on the ellipse satisfy the equation

${\displaystyle \frac{x^2}{a^2}+\frac{y^2}{b^2}=1,}$

with foci at coordinates ${\displaystyle (\pm c,0)}$ for $c=\sqrt{a^2-b^2}.$

We define a number of related additional concepts (only for ellipses):

Other formulae for the eccentricity of an ellipse

The eccentricity of an ellipse is, most simply, the ratio of the linear eccentricity c (distance between the center of the ellipse and each focus) to the length of the semimajor axis a.

${\displaystyle e=\frac{c}{a}.}$

The eccentricity is also the ratio of the semimajor axis a to the distance d from the center to the directrix:

${\displaystyle e=\frac{a}{d}.}$

The eccentricity can be expressed in terms of the flattening f (defined as ${\displaystyle f=1-b/a}$ for semimajor axis a and semiminor axis b):

${\displaystyle e=\sqrt{1-(1-f{)}^2}=\sqrt{f(2-f)}.}$

(Flattening may be denoted by g in some subject areas if f is linear eccentricity.)

Define the maximum and minimum radii ${\displaystyle r_{\text{max}}}$ and ${\displaystyle r_{\text{min}}}$ as the maximum and minimum distances from either focus to the ellipse (that is, the distances from either focus to the two ends of the major axis). Then with semimajor axis a, the eccentricity is given by

${\displaystyle e=\frac{r_{\text{max}}-r_{\text{min}}}{r_{\text{max}}+r_{\text{min}}}=\frac{r_{\text{max}}-r_{\text{min}}}{2a},}$

which is the distance between the foci divided by the length of the major axis.

Hyperbolas

The eccentricity of a hyperbola can be any real number greater than 1, with no upper bound. The eccentricity of a rectangular hyperbola is ${\displaystyle \sqrt{2}}$.

For a hyperbola given by the equation ${\displaystyle \frac{x^2}{a^2}-\frac{y^2}{b^2}=1}$ with eccentricity ${\displaystyle e}$, its conjugate hyperbola is given by ${\displaystyle \frac{y^2}{b^2}-\frac{x^2}{a^2}=1}$. If the eccentricity of the conjugate hyperbola is ${\displaystyle e^{\prime }}$, the two are related by the equation ${\displaystyle \frac{1}{e^2}+\frac{1}{(e^{\prime }{)}^2}=1}$. This can be shown from their definitions: ${\displaystyle e^2=1+\frac{b^2}{a^2}=\frac{a^2+b^2}{a^2}}$ and ${\displaystyle (e^{\prime }{)}^2=1+\frac{a^2}{b^2}=\frac{b^2+a^2}{b^2}}$. From this, it follows that ${\displaystyle \frac{1}{e^2}=\frac{a^2}{a^2+b^2}}$ and ${\displaystyle \frac{1}{(e^{\prime }{)}^2}=\frac{b^2}{a^2+b^2}}$, and the sum of these two expressions is 1. From this relationship, it can be seen that one of ${\displaystyle e}$ and ${\displaystyle e^{\prime }}$ must be greater than ${\displaystyle \sqrt{2}}$ and the other smaller, unless ${\displaystyle a=b}$, in which case they are both equal to ${\displaystyle \sqrt{2}}$.

Quadrics

The eccentricity of a three-dimensional quadric is the eccentricity of a designated section of it. For example, on a triaxial ellipsoid, the meridional eccentricity is that of the ellipse formed by a section containing both the longest and the shortest axes (one of which will be the polar axis), and the equatorial eccentricity is the eccentricity of the ellipse formed by a section through the centre, perpendicular to the polar axis (i.e. in the equatorial plane). But: conic sections may occur on surfaces of higher order, too (see image).

Celestial mechanics

In celestial mechanics, for bound orbits in a spherical potential, the definition above is informally generalized. When the apocenter distance is close to the pericenter distance, the orbit is said to have low eccentricity; when they are very different, the orbit is said be eccentric or having eccentricity near unity. This definition coincides with the mathematical definition of eccentricity for ellipses, in Keplerian, i.e., ${\displaystyle 1/r}$ potentials.

Analogous classifications

A number of classifications in mathematics use derived terminology from the classification of conic sections by eccentricity:

• Classification of elements of SL₂(R) as elliptic, parabolic, and hyperbolic – and similarly for classification of elements of PSL₂(R), the real Möbius transformations.
• Classification of discrete distributions by variance-to-mean ratio; see cumulants of some discrete probability distributions for details.
• Classification of partial differential equations is by analogy with the conic sections classification; see elliptic, parabolic and hyperbolic partial differential equations.