Abstract
In the problem of random genetic drift, the probability density of one gene is governed by a degenerated convection-dominated diffusion equation. Dirac singularities will always be developed at boundary points as time evolves, which is known as the fixation phenomenon in genetic evolution. Three finite volume methods: FVM1-3, one central difference method: FDM1 and three finite element methods: FEM1-3 are considered. These methods lead to different equilibrium states after a long time. It is shown that only schemes FVM3 and FEM3, which are the same, preserve probability, expectation and positiveness and predict the correct probability of fixation. FVM1-2 wrongly predict the probability of fixation due to their intrinsic viscosity, even though they are unconditionally stable. Contrarily, FDM1 and FEM1-2 introduce different anti-diffusion terms, which make them unstable and fail to preserve positiveness.
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Acknowledgements
The authors benefitted a great deal from discussions with Prof. David Waxman, Prof. Xinfu Chen and Prof. Xiaobing Feng. The authors thank the anonymous referees for their most valuable comments which improve the paper.
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Communicated by Elisabeth Larsson.
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Partially supported by NSF of China Grants 11271281, 11301368 and 91230106 and by NSF Grants DMS-1159937, DMS-1216938 and DMS-1109107.
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Xu, S., Chen, M., Liu, C. et al. Behavior of different numerical schemes for random genetic drift. Bit Numer Math 59, 797–821 (2019). https://doi.org/10.1007/s10543-019-00749-4
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DOI: https://doi.org/10.1007/s10543-019-00749-4
Keywords
- Random genetic drift
- Degenerate equation
- Conservations of probability and expectation
- Finite volume method
- Finite difference method
- Finite element method
- Numerical viscosity and numerical anti-diffusion