Mercury's orbit can destabilize, generally resulting in a collision with either Venus or the Sun. Chaotic evolution can cause g1 to decrease to the approximately constant value of g5 and create a resonance. Previous work has approximated the variation in g1 as stochastic diffusion, which leads to a phenomological model that can reproduce the Mercury instability statistics of secular and N-body models on timescales longer than 10 Gyr. Here we show that the diffusive model significantly underpredicts the Mercury instability probability on timescales less than 5 Gyr, the remaining lifespan of the solar system. This is because g1 exhibits larger variations on short timescales than the diffusive model would suggest. To better model the variations on short timescales, we build a new subdiffusive phenomological model for g1. Subdiffusion is similar to diffusion but exhibits larger displacements on short timescales and smaller displacements on long timescales. We choose model parameters based on the behavior of the g1 trajectories in the N-body simulations, leading to a tuned model that can reproduce Mercury instability statistics from 1–40 Gyr. This work motivates fundamental questions in solar system dynamics: why does subdiffusion better approximate the variation in g1 than standard diffusion? Why is there an upper bound on g1, but not a lower bound that would prevent it from reaching g5?
Mercury's Chaotic Secular Evolution as a Subdiffusive Process
Abstract
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© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank Dan Fabrycky for extensive feedback on an early draft of this paper. We thank an anonymous reviewer for excellent feedback. This work was completed with resources provided by the University of Chicago Research Computing Center. D.S.A acknowledges support from NASA grant No. 80NSSC21K1718, which is part of the Habitable Worlds program. R.J.W. was supported by the Office of Naval Research through BRC Award No. N00014-18-1-2363 and the National Science Foundation through FRG Award No. 1952777, under the aegis of Joel A. Tropp. D.M.H acknowledges support from the CycloAstro project. J.W. acknowledges support from National Science Foundation through award DMS-2054306 and from the Advanced Scientific Computing Research Program within the DOE Office of Science through award DE-SC0020427. D.S.A. and J.W. acknowledge support from the Army Research Office, grant No. W911NF-22-2-0124.
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Abbot_2024_ApJ_967_121.pdf
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Identifiers
- ISSN
- 1538-4357
Funding
- National Aeronautics and Space Administration
- 80NSSC21K1718
- Office of Naval Research
- N00014-18-1-2363
- National Science Foundation
- DMS-1952777
- National Science Foundation
- DMS-2054306
- United States Department of Energy
- DE-SC0020427
- United States Army Research Office
- W911NF-22-2-0124