arXiv Open Access 2026

Markov processes forced on a subspace by a large drift, with applications to population genetics

Samuel Ayomide Adeosun Peter Pfaffelhuber

Lihat Sumber

Abstrak

Consider a sequence of Markov processes $X^1, X^2,...$ with state space $E$, where $X^N$ has a strong drift to $D \subseteq E$, such that $Φ(X^N)$ is slow for some appropriate $Φ: E\to D$. Using the method of martingale problems, we give a limit result, such that $Φ(X^N) \xRightarrow{N\to\infty} Z$ in the space of càdlàg paths, and $X^N \xRightarrow{N\to\infty} X$ in measure. \\ We apply the general limit result to models for copy number variation of genetic elements in a diploid Moran model of size $N$. The population by time $t$ is described by $X^N \in \mathcal P(\mathbb N_0)$, where $X^N_k$ is the frequency of individuals with copy number $k$, and $Φ: \mathcal P(\mathbb

Topik & Kata Kunci

math.PR

Penulis (2)

Samuel Ayomide Adeosun

Peter Pfaffelhuber

Format Sitasi

APA MLA BibTeX

Adeosun, S.A., Pfaffelhuber, P. (2026). Markov processes forced on a subspace by a large drift, with applications to population genetics. https://arxiv.org/abs/2602.16342

Akses Cepat

Lihat di Sumber

Informasi Jurnal

Tahun Terbit: 2026
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓