Unified framework for quasispecies evolution and stochastic quantization

被引:4
|
作者
Bianconi, Ginestra [1 ]
Rahmede, Christoph [2 ]
机构
[1] Northeastern Univ, Dept Phys, Boston, MA 02115 USA
[2] Univ Sussex, Dept Phys & Astron, Brighton BN1 9QH, E Sussex, England
来源
PHYSICAL REVIEW E | 2011年 / 83卷 / 05期
关键词
SELECTION; QUANTUM; MODEL;
D O I
10.1103/PhysRevE.83.056104
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
In this paper we provide a unified framework for quasispecies evolution and stochastic quantization. We map the biological evolution described by the quasispecies equation to the stochastic dynamics of an ensemble of particles undergoing a creation-annihilation process. We show that this mapping identifies a natural decomposition of the probability that an individual has a certain genotype into eigenfunctions of the evolutionary operator. This alternative approach to study the quasispecies equation allows for a generalization of the Fisher theorem equivalent to the Price equation. According to this relation the average fitness of an asexual population increases with time proportional to the variance of the eigenvalues of the evolutionary operator. Moreover, from the present alternative formulation of stochastic quantization a novel scenario emerges to be compared with existing approaches. The evolution of an ensemble of particles undergoing diffusion and a creation-annihilation process is parametrized by a variable beta that we call the inverse temperature of the stochastic dynamics. We find that the evolution equation at high temperatures is simply related to the Schrodinger equation, but at low temperature it strongly deviates from it. In the presence of additional noise in scattering processes between the particles, the evolution reaches a steady state described by the Bose-Einstein statistics.
引用
收藏
页数:8
相关论文
共 50 条
  • [1] A Stochastic Model for the Evolution of a Quasispecies
    Iddo Ben-Ari
    Rinaldo B. Schinazi
    Journal of Statistical Physics, 2016, 162 : 415 - 425
  • [2] A Stochastic Model for the Evolution of a Quasispecies
    Ben-Ari, Iddo
    Schinazi, Rinaldo B.
    JOURNAL OF STATISTICAL PHYSICS, 2016, 162 (02) : 415 - 425
  • [3] A unified framework for stochastic optimization
    Powell, Warren B.
    EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2019, 275 (03) : 795 - 821
  • [4] A unified simulation framework for spatial stochastic models
    Mayer, J
    Schmidt, V
    Schweiggert, F
    SIMULATION MODELLING PRACTICE AND THEORY, 2004, 12 (05) : 307 - 326
  • [5] A unified stochastic approximation framework for learning in games
    Panayotis Mertikopoulos
    Ya-Ping Hsieh
    Volkan Cevher
    Mathematical Programming, 2024, 203 : 559 - 609
  • [6] A unified stochastic approximation framework for learning in games
    Mertikopoulos, Panayotis
    Hsieh, Ya-Ping
    Cevher, Volkan
    MATHEMATICAL PROGRAMMING, 2024, 203 (1-2) : 559 - 609
  • [7] A unified framework for rich routing problems with stochastic demands
    Markov, Iliya
    Bierlaire, Michel
    Cordeau, Jean-Francois
    Maknoon, Yousef
    Varone, Sacha
    TRANSPORTATION RESEARCH PART B-METHODOLOGICAL, 2018, 114 : 213 - 240
  • [8] Rapid stabilization of stochastic quantum systems in a unified framework
    Wen, Jie
    Wang, Fangmin
    Shi, Yuanhao
    Jia, Jianfang
    Zeng, Jianchao
    CHINESE PHYSICS B, 2023, 32 (07)
  • [9] A unified stochastic modelling framework for the spread of nosocomial infections
    Lopez-Garcia, Martin
    Kypraios, Theodore
    JOURNAL OF THE ROYAL SOCIETY INTERFACE, 2018, 15 (143)
  • [10] Rapid stabilization of stochastic quantum systems in a unified framework
    温杰
    王芳敏
    史元浩
    贾建芳
    曾建潮
    Chinese Physics B, 2023, (07) : 255 - 264