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Condensation in large random Lotka-Volterra systems

Condensation in large random Lotka-Volterra systems
大型随机 Lotka-Volterra 系统中的凝结
批准号:
317605153
负责人:
Professor Dr. Andreas Engel
金额:
$0.0万
依托单位:
依托单位国家:
德国
项目类别:
Research Grants
财政年份:
2016
资助国家:
德国
项目状态:
已结题
起止时间:
2015-12-31 至 2021-12-31

项目摘要

项目成果

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中文摘要
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英文摘要
Condensation is a general phenomenon in science to be found in large sets of interacting systems each of which may exist in different states. Condensation is said to occur if a finite fraction of these systems choose to be in the same state. Examples reach from Bose-Einstein condensation in atomic gases to the emergence of biological species. Whereas in equilibrium situations the condensed state is often unique non-equilibrium steady states typically show many different condensation patterns and the question of the number and selection of condensed states becomes relevant. A suitable mathematical framework to investigate these questions is the so-called replicator equation. It describes the time evolution of the fraction of systems in the various states. Being introduced originally in the field of evolutionary game theory this equation has been recently shown to model a variety of situations in which condensation occurs. Its main ingredient is an interaction matrix containing the rates of possible stochastic transitions between different states. Realistic situations are often characterized by a large number of states and complex interactions. To understand typical features of condensation under such conditions it is reasonable to assume that the interaction matrix is drawn from a random matrix ensemble. Such an approach will be fruitful if crucial properties of the condensation process are independent of the concrete realization of the interaction matrix and depend only on the statistical properties of the whole ensemble. Several interesting results along those lines of reasoning have been found recently in numerical simulations. In the present project we want to employ methods from the statistical mechanics of disordered systems to complement and extend these numerical findings by analytical results on the distribution of the number of condensates, its dependence on the connectivity of the underlying interaction network, and the stability of the selected pattern of condensed states.
期刊论文(5)
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科研奖励(0)
会议论文
DOI: 10.1103/physreve.101.062119
发表时间: 2020
期刊: Physical review. E
影响因子: --
作者: [S. Landmann, A. Engel]
通讯作者: A. Engel
Random matrices and condensation into multiple states.
随机矩阵和凝结成多种状态
DOI: 10.1103/physreve.97.032133
发表时间: 2018
期刊: Physical review. E
影响因子: --
作者: [S. Sadeghi, A. Engel]
通讯作者: A. Engel
DOI: 10.1209/0295-5075/124/18004
发表时间: 2018-10-01
期刊: EPL
影响因子: 1.8
作者: [Landmann, Stefan, Engel, Andreas]
通讯作者: Engel, Andreas
DOI: 10.1016/j.physa.2019.122544
发表时间: 2020-08-15
期刊: PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
影响因子: 3.3
作者: [Landmann, Stefan, Engel, Andreas]
通讯作者: Engel, Andreas
Transport and composition of the southern hemisphere UTLS (SOUTHTRAC)
  • 批准号:
    423219384
  • 项目类别:
    Infrastructure Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Professor Dr. Andreas Engel
  • 依托单位:
Southern Hemispheric halogen budgets, mean age distributions, age spectra and interhemispheric difference using GhOST-MS observations during SOUTHTRAC
  • 批准号:
    423215936
  • 项目类别:
    Infrastructure Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2019
  • 负责人:
    Professor Dr. Andreas Engel
  • 依托单位:
PGS: POLSTRACC / GWLCYCLE and SALSA: University Participation in joint Arctic HALO Mission
  • 批准号:
    313509887
  • 项目类别:
    Research Grants
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Andreas Engel
  • 依托单位:
Using tracer observation with GhOST-MS during TACTS, SALSA, POLSTRACC and WISE to derive age spectra and the halogen budget of the UTLS during different seasons
  • 批准号:
    316588118
  • 项目类别:
    Infrastructure Priority Programmes
  • 资助金额:
    $0.0万
  • 财政年份:
    2016
  • 负责人:
    Professor Dr. Andreas Engel
  • 依托单位:
国内基金
海外基金
基于水稻穗粒数关键基因LARGE2提高作物产量的探索与应用
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2026
  • 负责人:
    黄洛将
  • 依托单位:
水稻穗粒数调控关键因子LARGE6的分子遗传网络解析
  • 批准号:
    --
  • 项目类别:
    青年科学基金项目
  • 资助金额:
    30万元
  • 批准年份:
    2022
  • 负责人:
    黄洛将
  • 依托单位:
量子自旋液体中拓扑拟粒子的性质:量子蒙特卡罗和新的large-N理论
  • 批准号:
    12074246
  • 项目类别:
    面上项目
  • 资助金额:
    62.0万元
  • 批准年份:
    2020
  • 负责人:
    Yoshitomo Kamiya
  • 依托单位:
甘蓝型油菜Large Grain基因调控粒重的分子机制研究
  • 批准号:
    31972875
  • 项目类别:
    面上项目
  • 资助金额:
    58.0万元
  • 批准年份:
    2019
  • 负责人:
    石江华
  • 依托单位: