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February 27, 20260 citationsOpen Access

An approximate inverse of Kepler's Equation at the parabolic limit e → 1 using a hyperbolic function structure.

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AHAngus Hogan-Chandler

Key Points

  • The study aims to provide an approximate inverse solution to Kepler's equation as it approaches the parabolic limit of eccentricity.
  • Derived the inverse function M = E - sinE for eccentricity e = 1.
  • Discussed the characteristics of elliptical orbits as they near the limit of parabolic behavior.
  • Developed a hyperbolic function structure to model the inverse relationship.
  • Utilized a machine learning transformation model denoted by χ(M).
  • Proposed model indicates that orbits with eccentricities close to 1 can be easier to approximate.
  • Model comparison shows that lower eccentricities typically require more complex calculations.

Abstract

The paper outlines an approximate inverse of M = E - sinE, which is Kepler's equation where e = 1. It does not describe a parabolic orbit, which is the physical system that an eccentricity being equal to 1 describes (which would use Barker's equation). Instead, this is Kepler's elliptical equation, but described at its highest limit, being the point where the equation ceases to describe a physical system. Mapping the elliptical Kepler equation at this high limit essentially means that, using a transformed version of the inverse function outlined in the paper, it may be easier to model an orbit with an eccentricity of 0. 999 than it is to model an orbit of 0. 9. This is the opposite of how most other models function, where lower eccentricities are typically easier to model. The function in question has a hyperbolic function structure as well as a machine learned transformation madel, denoted by the symbol (M).

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Cite This Study

Angus Hogan-Chandler (2026) studied this question.

synapsesocial.com/papers/69a1359eed1d949a99abfbbfhttps://doi.org/10.5281/zenodo.18777323
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