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相关论文: On the stochastic evolution of finite populations

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We study stochastic evolutionary game dynamics in a population of finite size. Individuals in the population are divided into two dynamically evolving groups. The structure of the population is formally described by a Wright-Fisher type…

The environment in which a population evolves can have a crucial impact on selection. We study evolutionary dynamics in finite populations of fixed size in a changing environment. The population dynamics are driven by birth and death…

种群与进化 · 定量生物学 2014-09-01 Peter Ashcroft , Philipp M Altrock , Tobias Galla

We present a mechanistic formalism for the study of evolutionary dynamics models based on the diffusion approximation described by the Kimura Equation. In this formalism, the central component is the fitness potential, from which we obtain…

种群与进化 · 定量生物学 2018-08-23 Fabio A. C. C. Chalub , Max O. Souza

We consider the evolution of large but finite populations on arbitrary fitness landscapes. We describe the evolutionary process by a Markov, Moran process. We show that to $\mathcal O(1/N)$, the time-averaged fitness is lower for the finite…

种群与进化 · 定量生物学 2015-06-04 Dirk M. Lorenz , Jeong-Man Park , Michael W. Deem

We consider the so called Moran process with frequency dependent fitness given by a certain pay-off matrix. For finite populations, we show that the final state must be homogeneous, and show how to compute the fixation probabilities. Next,…

偏微分方程分析 · 数学 2007-05-23 Fabio A. C. C. Chalub , Max O. Souza

A fundamental problem in the fields of population genetics, evolution, and community ecology, is the fate of a single mutant, or invader, introduced in a finite population of wild types. For a fixed-size community of $N$ individuals, with…

种群与进化 · 定量生物学 2017-10-25 Matan Danino , Nadav M. Shnerb

The Wright-Fisher model and the Moran model are both widely used in population genetics. They describe the time evolution of the frequency of an allele in a well-mixed population with fixed size. We propose a simple and tractable model…

种群与进化 · 定量生物学 2024-12-30 Arthur Alexandre , Alia Abbara , Cecilia Fruet , Claude Loverdo , Anne-Florence Bitbol

We study fixation probabilities for the Moran stochastic process for the evolution of a population with three or more types of individuals and frequency-dependent fitnesses. Contrarily to the case of populations with two types of…

种群与进化 · 定量生物学 2018-11-26 Eliza M. Ferreira , Armando G. M. Neves

The formula for the probability of fixation of a new mutation is widely used in theoretical population genetics and molecular evolution. Here we derive a series of identities, inequalities and approximations for the exact probability of…

种群与进化 · 定量生物学 2015-03-10 David M. McCandlish , Charles L. Epstein , Joshua B. Plotkin

We consider the Moran process, as generalized by Lieberman, Hauert and Nowak (Nature, 433:312--316, 2005). A population resides on the vertices of a finite, connected, undirected graph and, at each time step, an individual is chosen at…

计算复杂性 · 计算机科学 2014-03-21 Josep Díaz , Leslie Ann Goldberg , George B. Mertzios , David Richerby , Maria Serna , Paul G. Spirakis

Temporal environmental variations are ubiquitous in nature, yet most of the theoretical works in population genetics and evolution assume fixed environment. Here we analyze the effect of variations in carrying capacity on the fate of a…

种群与进化 · 定量生物学 2019-12-16 Immanuel Meyer , Nadav M. Shnerb

There are many different models--both continuous and discrete--used to describe gene mutation fixation. In particular, the Moran process, the Kimura equation and the replicator dynamics are all well known models, that might lead to…

偏微分方程分析 · 数学 2013-01-21 Fabio A. C. C. Chalub , Max O. Souza

In many biological processes, the size of a population changes stochastically with time, and recent work in the context of cancer and bacterial growth have focused on the situation when the mean population size grows exponentially. Here,…

种群与进化 · 定量生物学 2025-08-27 Kavita Jain , Hitesh Sumuni

Coevolving and competing species or game-theoretic strategies exhibit rich and complex dynamics for which a general theoretical framework based on finite populations is still lacking. Recently, an explicit mean-field description in the form…

统计力学 · 物理学 2007-05-23 Arne Traulsen , Jens Christian Claussen , Christoph Hauert

Evolutionary models for populations of constant size are frequently studied using the Moran model, the Wright-Fisher model, or their diffusion limits. When evolution is neutral, a random genealogy given through Kingman's coalescent is used…

种群与进化 · 定量生物学 2012-07-31 Peter Pfaffelhuber , Benedikt Vogt

We model evolution according to an asymmetric game as occurring in multiple finite populations, one for each role in the game, and study the effect of subjecting individuals to stochastic strategy mutations. We show that, when these…

种群与进化 · 定量生物学 2015-12-22 Carl Veller , Laura K. Hayward

We study the fixation probability of a mutant type when introduced into a resident population. As opposed to the usual assumption of constant pop- ulation size, we allow for stochastically varying population sizes. This is implemented by a…

种群与进化 · 定量生物学 2018-06-08 Peter Czuppon , Arne Traulsen

Near the beginning of the century, Wright and Fisher devised an elegant, mathematically tractable model of gene reproduction and replacement that laid the foundation for contemporary population genetics. The Wright-Fisher model and its…

概率论 · 数学 2013-12-23 Todd L. Parsons

We study a class of processes that are akin to the Wright-Fisher model, with transition probabilities weighted in terms of the frequency-dependent fitness of the population types. By considering an approximate weak formulation of the…

种群与进化 · 定量生物学 2014-08-28 Fabio A. C. C. Chalub , Max O. Souza

The Moran process, as studied by [Lieberman, E., Hauert, C. and Nowak, M. Evolutionary dynamics on graphs. Nature 433, pp. 312-316 (2005)], is a stochastic process modeling the spread of genetic mutations in populations. In this process,…

种群与进化 · 定量生物学 2021-07-27 Themistoklis Melissourgos , Sotiris Nikoletseas , Christoforos Raptopoulos , Paul Spirakis
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