On a Continuum Model for Random Genetic Drift: A Dynamic Boundary Condition Approach
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | |
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| _version_ | 1866912525652590592 |
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| author | Liu, Chun Sulzbach, Jan-Eric Wang, Yiwei |
| author_facet | Liu, Chun Sulzbach, Jan-Eric Wang, Yiwei |
| contents | We propose a new continuum model for random genetic drift by employing a dynamic boundary condition approach. The model can be viewed as a regularized version of the Kimura equation and admits a continuous solution. We establish the existence and uniqueness of a strong solution to the regularized system. Numerical experiments illustrate that, for sufficiently small regularization parameters, the model can capture key phenomena of the original Kimura equation, such as gene fixation and conservation of the first moment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2309_09484 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | On a Continuum Model for Random Genetic Drift: A Dynamic Boundary Condition Approach Liu, Chun Sulzbach, Jan-Eric Wang, Yiwei Analysis of PDEs Numerical Analysis We propose a new continuum model for random genetic drift by employing a dynamic boundary condition approach. The model can be viewed as a regularized version of the Kimura equation and admits a continuous solution. We establish the existence and uniqueness of a strong solution to the regularized system. Numerical experiments illustrate that, for sufficiently small regularization parameters, the model can capture key phenomena of the original Kimura equation, such as gene fixation and conservation of the first moment. |
| title | On a Continuum Model for Random Genetic Drift: A Dynamic Boundary Condition Approach |
| topic | Analysis of PDEs Numerical Analysis |
| url | https://arxiv.org/abs/2309.09484 |