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Markov Process

Markov Process
马尔可夫过程
批准号:
0104343
负责人:
Srinivasa Varadhan
金额:
$68.99万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2001
资助国家:
美国
项目状态:
已结题
起止时间:
2001-06-01 至 2007-05-31
关键词:

项目摘要

项目成果

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中文摘要
翻译
0104343 Varadhan本项目的重点是相互作用的粒子系统及其比例限制。当我们有一个大的粒子系统通过局部相互作用相互作用时,这样一个系统在远离平衡时的演化会引发几个问题。密度通常是唯一的守恒量,通常有某种输运方程出现作为标度极限。叠加在其上的是单个粒子的运动,这通常是一个非齐次马尔可夫过程,在某种程度上将相互作用平均在标度极限内。大数定律以及波动和偏离大数定律是这方面的一些有趣的问题。此外,极限描述中出现的系数是密度和/或其他参数的函数,它们对参数的依赖性的规律性也是重要的。有一大类物理过程,其中行为规则是在单个单位的级别上规定的。这些规则涉及单个单位之间相互作用的性质,也可能涉及一些随机性。但人们需要在更大的范围内对单位的集体行为做出预测。这个项目涉及从个体单位水平上的相互作用模型中推导出集体行为规则。在物理科学中,已经成功研究的这类问题的例子包括流体流动规律,这些规律是由组成流体的分子之间的相互作用定律得出的。社会科学中的类似问题,例如根据个人之间的经济交换模型预测宏观经济行为的问题,还没有得到充分解决。
英文摘要
0104343Varadhan The focus of this project is interacting particle systems and their scaling limits. When we have a large system of particles interacting through local interactions, the evolution of such a system when it starts far away from equilibrium poses several questions. Density being often the only conserved quantity, there is usually some sort of a transport equation appearing as the scaling limit. Superposed on it is the motion of individual particles, which is usually an inhomogeneous Markov process after the interactions are somehow averaged in the scaling limit. Laws of large numbers as well as fluctuations and large deviations from them are some of the interesting problems in this context. In addition the coefficients arising in the limiting descriptions are functions of density and or other parameters and the regularity of their dependence on the parameters is also of importance. There are a large class of physical processes where the rules of behavior are prescribed at the level of individual units. These rules concern the nature of the interaction between individual units that could involve some randomness as well. But one needs to make predictions of the collective behavior of the units at a much larger scale. This project deals with the derivation of the rules of collective behavior from models of interactions at the level of individual units. In the physical sciences examples of such problems that have been successfully studied include the rules of fluid flow that are derived from the laws of interaction between molecules that make up the fluid. Similar problems in the social sciences, for instance one of predicting macroeconomic behavior based on models of economic exchange between individuals, have not been adequately addressed.
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37th Conference on Stochastic Processes and their Applications
  • 批准号:
    1407743
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.0万
  • 财政年份:
    2014
  • 负责人:
    Srinivasa Varadhan
  • 依托单位:
Markov Processes
  • 批准号:
    1208334
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $33.0万
  • 财政年份:
    2012
  • 负责人:
    Srinivasa Varadhan
  • 依托单位:
Markov Processes
  • 批准号:
    0904701
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $40.99万
  • 财政年份:
    2009
  • 负责人:
    Srinivasa Varadhan
  • 依托单位:
Markov Processes
  • 批准号:
    0604380
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $0.0万
  • 财政年份:
    2006
  • 负责人:
    Srinivasa Varadhan
  • 依托单位:
国内基金
海外基金
Neural Process模型的多样化高保真技术研究
磁转动超新星爆发中weak r-process的关键核反应
多臂Bandit process中的Bayes非参数方法
  • 批准号:
    71771089
  • 项目类别:
    面上项目
  • 资助金额:
    48.0万元
  • 批准年份:
    2017
  • 负责人:
    吴贤毅
  • 依托单位: