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We study the large population limit of the Moran process, assuming weak-selection, and for different scalings. Depending on the particular choice of scalings, we obtain a continuous model that may highlight the genetic-drift (neutral…

种群与进化 · 定量生物学 2013-01-21 Fabio A. C. C. Chalub , Max O. Souza

We consider three classical models of biological evolution: (i) the Moran process, an example of a reducible Markov Chain; (ii) the Kimura Equation, a particular case of a degenerated Fokker-Planck Diffusion; (iii) the Replicator Equation,…

种群与进化 · 定量生物学 2020-10-09 Fabio A. C. C. Chalub , Léonard Monsaingeon , Ana Margarida Ribeiro , Max O. Souza

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

To our knowledge, the populations are generally assumed to be homogeneous in the traditional approach to evolutionary game dynamics. Here, we focus on the inhomogeneous populations. A simple model which can describe the inhomogeneity of the…

物理与社会 · 物理学 2007-05-23 Xiaojie Chen , Feng Fu , Long Wang , Tianguang Chu

This work is a systematic study of discrete Markov chains that are used to describe the evolution of a two-types population. Motivated by results valid for the well-known Moran (M) and Wright-Fisher (WF) processes, we define a general class…

种群与进化 · 定量生物学 2017-05-02 Fabio A. C. C. Chalub , Max O. Souza

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

Two types of population models are well known -- the continuous and the discrete types.The two have very different characteristics and methods of solutions and analysis.In this note, we point out that an iterative technique when applied to…

动力系统 · 数学 2007-05-23 Burra G. Sidharth , B S Lakshmi

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…

偏微分方程分析 · 数学 2025-08-08 Chun Liu , Jan-Eric Sulzbach , Yiwei Wang

We give a very short introduction to discrete and continuum models for the evolutionary and spatial dynamics of cancer through two case studies: a model for the evolutionary dynamics of cancer cells under cytotoxic therapy and a model for…

组织与器官 · 定量生物学 2019-11-07 Tommaso Lorenzi , Fiona R. Macfarlane , Chiara Villa

We investigate the dynamical behavior of simple modules composed of two genes with two or three regulating connections. Continuous dynamics for mRNA and protein concentrations is compared to a Boolean model for gene activity. Using a…

分子网络 · 定量生物学 2013-05-29 Eva Gehrmann , Barbara Drossel

Formally capturing the transition from a continuous model to a discrete model is investigated using model based refinement techniques. A very simple model for stopping (eg. of a train) is developed in both the continuous and discrete…

软件工程 · 计算机科学 2011-06-22 Richard Banach , Huibiao Zhu , Wen Su , Runlei Huang

Finite and infinite population models are frequently used in population dynamics. However, their interrelationship is rarely discussed. In this work, we examine the limits of large populations of the Moran process (a finite-population…

种群与进化 · 定量生物学 2025-12-10 Fabio A. C. C. Chalub , Max O. Souza

This essay advocates the view that any problem that has a meaningful empirical content, can be formulated in constructive, more definitely, finite terms. We consider combinatorial models of dynamical systems and approaches to statistical…

量子物理 · 物理学 2015-07-21 Vladimir V. Kornyak

Agent-based stochastic models for finite populations have recently received much attention in the game theory of evolutionary dynamics. Both the ultimate fixation and the pre-fixation transient behavior are important to a full understanding…

种群与进化 · 定量生物学 2015-03-17 Da Zhou , Hong Qian

The purpose of this Note is twofold: First, we introduce the general formalism of evolutionary genetics dynamics involving fitnesses, under both the deterministic and stochastic setups, and chiefly in discrete-time. In the process, we…

定量方法 · 定量生物学 2015-05-14 Thierry Huillet

Evolution in finite populations is often modelled using the classical Moran process. Over the last ten years this methodology has been extended to structured populations using evolutionary graph theory. An important question in any such…

种群与进化 · 定量生物学 2015-05-25 Karan Pattni , Mark Broom , Jan Rychtar , Lara J. Silvers

We explore the connection between evolution and large-deviation theory. To do so, we study evolutionary dynamics in which individuals experience mutations, reproduction, and selection using variants of the Moran model. We show that, in the…

种群与进化 · 定量生物学 2026-01-09 Sara Dal Cengio , Quentin Laurenceau , Vivien Lecomte , Charline Smadi , Julien Tailleur

Populations of replicating entities frequently experience sudden or cyclical changes in environment. We explore the implications of this phenomenon via a environmental switching parameter in several common evolutionary dynamics models…

动力系统 · 数学 2013-06-12 Marc Harper , Dashiell Fryer , Andrew Vlasic

Populations evolving under the joint influence of recombination and resampling (traditionally known as genetic drift) are investigated. First, we summarise and adapt a deterministic approach, as valid for infinite populations, which assumes…

种群与进化 · 定量生物学 2009-02-20 Ellen Baake , Inke Herms

Evolution has fascinated quantitative and physical scientists for decades: how can the random process of mutation, recombination, and duplication of genetic information generate the diversity of life? What determines the rate of evolution?…

种群与进化 · 定量生物学 2018-04-23 Richard A. Neher , Aleksandra M. Walczak
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