Kepler's equation

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Kepler's equation solutions for five different eccentricities between 0 and 1

In orbital mechanics, Kepler's equation relates various geometric properties of the orbit of a body subject to a central force.

It was first derived by Johannes Kepler in 1609 in Chapter 60 of his Astronomia nova,[1][2] and in book V of his Epitome of Copernican Astronomy (1621) Kepler proposed an iterative solution to the equation.[3][4] The equation has played an important role in the history of both physics and mathematics, particularly classical celestial mechanics.


Kepler's equation is

where M is the mean anomaly, E is the eccentric anomaly, and e is the eccentricity.

The 'eccentric anomaly' E is useful to compute the position of a point moving in a Keplerian orbit. As for instance, if the body passes the periastron at coordinates x = a(1 − e), y = 0, at time t = t0, then to find out the position of the body at any time, you first calculate the mean anomaly M from the time and the mean motion n by the formula M = n(tt0), then solve the Kepler equation above to get E, then get the coordinates from:

Kepler's equation is a transcendental equation because sine is a transcendental function, meaning it cannot be solved for E algebraically. Numerical analysis and series expansions are generally required to evaluate E.

Alternate forms[edit]

There are several forms of Kepler's equation. Each form is associated with a specific type of orbit. The standard Kepler equation is used for elliptic orbits (0 ≤ e < 1). The hyperbolic Kepler equation is used for hyperbolic orbits (e ≫ 1). The radial Kepler equation is used for linear (radial) orbits (e = 1). Barker's equation is used for parabolic orbits (e = 1). When e = 1, Kepler's equation is not associated with an orbit.

When e = 0, the orbit is circular. Increasing e causes the circle to flatten into an ellipse. When e = 1, the orbit is completely flat, and it appears to be either a segment if the orbit is closed, or a ray if the orbit is open. An infinitesimal increase to e results in a hyperbolic orbit with a turning angle of 180 degrees, and the orbit appears to be a ray. Further increases reduce the turning angle, and as e goes to infinity, the orbit becomes a straight line of infinite length.

Hyperbolic Kepler equation[edit]

The Hyperbolic Kepler equation is:

where H is the hyperbolic eccentric anomaly. This equation is derived by multiplying Kepler's equation by the square root of −1; i = √−1 for imaginary unit, and replacing

to obtain

Radial Kepler equation[edit]

The Radial Kepler equation is:

where t is time, and x is the distance along an x-axis. This equation is derived by multiplying Kepler's equation by 1/2 making the replacement

and setting e = 1 gives

Inverse problem[edit]

Calculating M for a given value of E is straightforward. However, solving for E when M is given can be considerably more challenging.

Kepler's equation can be solved for E analytically by Lagrange inversion. The solution of Kepler's equation given by two Taylor series below.

Confusion over the solvability of Kepler's equation has persisted in the literature for four centuries.[5] Kepler himself expressed doubt at the possibility of finding a general solution.

Inverse Kepler equation[edit]

The inverse Kepler equation is the solution of Kepler's equation for all real values of :

Evaluating this yields:

These series can be reproduced in Mathematica with the InverseSeries operation.

InverseSeries[Series[M - Sin[M], {M, 0, 10}]]
InverseSeries[Series[M - e Sin[M], {M, 0, 10}]]

These functions are simple Taylor series. Taylor series representations of transcendental functions are considered to be definitions of those functions. Therefore, this solution is a formal definition of the inverse Kepler equation. While this solution is the simplest in a certain mathematical sense, for values of near 1 the convergence is very poor, other solutions are preferable for most applications. Alternatively, Kepler's equation can be solved numerically.

The solution for e ≠ 1 was discovered by Karl Stumpff in 1968,[7] but its significance wasn't recognized.[8]

Algorithm for the inverse Kepler equation[edit]

Note that . Repeatedly substituting the expression on the right for the on the right yields a simple fixed point iteration algorithm for evaluating .

function E(e,M,n)
    E = M
    for k = 1 to n
        E = M + e*sin E
        next k
    return E

The number of iterations, , depends on the value of .

Using Newton's method to find the zero of one gets,

to first order in the small quantities and , or,


The algorithm actually uses a simplified version of Newton's method to improve on a value for E. Although Newton's method usually converges faster to the correct value for E there are situations where it requires division by 0 and the method above is then preferred.

Inverse radial Kepler equation[edit]

The inverse radial Kepler equation is:

Evaluating this yields:

To obtain this result using Mathematica:

InverseSeries[Series[ArcSin[Sqrt[t]] - Sqrt[(1 - t) t], {t, 0, 15}]]

Numerical approximation of inverse problem[edit]

For most applications, the inverse problem can be computed numerically by finding the root of the function:

This can be done iteratively via Newton's method:

Note that E and M are in units of radians in this computation. This iteration is repeated until desired accuracy is obtained (e.g. when f(E) < desired accuracy). For most elliptical orbits an initial value of E0 = M(t) is sufficient. For orbits with e > 0.8, an initial value of E0 = π should be used.[9] A similar approach can be used for the hyperbolic form of Kepler's equation. In the case of a parabolic trajectory, Barker's equation is used.

See also[edit]


  1. ^ Kepler, Johannes (1609). "LX. Methodus, ex hac Physica, hoc est genuina & verissima hypothesi, extruendi utramque partem æquationis, & distantias genuinas: quorum utrumque simul per vicariam fieri hactenus non potuit. argumentum falsæ hypotheseos". Astronomia Nova Aitiologētos, Seu Physica Coelestis, tradita commentariis De Motibus Stellæ Martis, Ex observationibus G. V. Tychonis Brahe (in Latin). pp. 299–300. 
  2. ^ Aaboe, Asger (2001). Episodes from the Early History of Astronomy. Springer. pp. 146–147. ISBN 978-0-387-95136-2. 
  3. ^ Kepler, Johannes (1621). "Libri V. Pars altera.". Epitome astronomiæ Copernicanæ usitatâ formâ Quæstionum & Responsionum conscripta, inq; VII. Libros digesta, quorum tres hi priores sunt de Doctrina Sphæricâ (in Latin). pp. 695–696. 
  4. ^ Swerdlow, N. M. (2000). "Kepler's Iterative Solution to Kepler's Equation". Journal for the History of Astronomy. 31: 339–341. Bibcode:2000JHA....31..339S. doi:10.1177/002182860003100404. 
  5. ^ It is often erroneously claimed that Kepler's equation "cannot be solved analytically"; see for example here. Other authors make the absurd claim that it cannot be solved at all; see for example M. V. K. Chari, Sheppard Joel Salon 2000 Technology & Engineering.
  6. ^ Hall, Asaph (May 1883). "Kepler's Problem". Annals of Mathematics. 10 (3): 65–66. doi:10.2307/2635832. 
  7. ^ Stumpff, Karl (1 June 1968). "On The application of Lie-series to the problems of celestial mechanics". NASA Technical Note D-4460. 
  8. ^ Colwell, Peter (1993). Solving Kepler's Equation Over Three Centuries. Willmann–Bell. p. 43. ISBN 0-943396-40-9. 
  9. ^ Montenbruck, Oliver; Pfleger, Thomas (2009). Astronomy on the Personal Computer. Springer-Verlag Berlin Heidelberg. pp. 64–65. ISBN 978-3-540-67221-0. 

External links[edit]

  • Danby, J. M.; Burkardt, T. M. (1983). "The solution of Kepler's equation. I". Cel. Mech. 31: 95–107. Bibcode:1983CeMec..31...95D. 
  • Conway, B. A. (1986). An improved algorithm due to Laguere for the solution of Kepler's equation. doi:10.2514/6.1986-84. 
  • Mikkola, Seppo (1987). "A cubic approximation for Kepler's equation". Cel. Mech. 40 (3). doi:10.1007/BF01235850. 
  • Fukushima, Toshio (1996). "A method solving kepler's equation without transcendental function evaluations". Cel. Mech. Dyn. Astron. 66 (3): 309–319. doi:10.1007/BF00049384. 
  • Charles, E. D.; Tatum, J. B. (1997). "The convergence of Newton-Raphson iteration with Kepler's equation". Cel. Mech. Dyn. Astr. 69 (4): 357–372. doi:10.1023/A:1008200607490. 
  • Stumpf, Laura (1999). "Chaotic behaviour in the newton iterative function associated with kepler's equation". Cel. Mech. Dyn. Astr. 74 (2): 95–109. doi:10.1023/A:1008339416143. 
  • Palacios, M. (2002). "Kepler equation and accelerated Newton method". J. Comp. Appl. Math. 138: 335–346. doi:10.1016/S0377-0427(01)00369-7. 
  • Boyd, John P. (2007). "Rootfinding for a transcendental equation without a first guess: Polynomialization of Kepler's equation through Chebyshev polynomial equation of the sine". Appl. Num. Math. 57 (1): 12–18. doi:10.1016/j.apnum.2005.11.010.