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Quenched Tails and Almost Sure Limit Laws

Quenched Tails and Almost Sure Limit Laws
淬火尾部和几乎确定的极限定律
批准号:
0072331
负责人:
Amir Dembo
金额:
$21.45万
依托单位:
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2000
资助国家:
美国
项目状态:
已结题
起止时间:
2000-07-15 至 2004-06-30

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中文摘要
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英文摘要
0072331Dembo This research is in the area of large deviations and its applications. In particular, the PI will study situations where the rare behavior conditioned on a fixed (= quenched) realization of one element of randomness is the key to determine and understand the typical phenomena. One unifying theme is that the evaluation of probabilities of rare events leads to an understanding of the mechanisms by which they can occur, and when many different rare events are possible, it leads to the identification of the mechanism causing one of them to actually occur. Two specific lines of research are planned: (i) Mathematical study and understanding of "aging" phenomenon in the large time behavior of dynamical systems for statistical physics models out of equilibrium; and (ii) Study of exceptional points on the sample path of stochastic processes such as Brownian motion, random walks and stable processes. Emphasis is put on points defined by means of the corresponding occupation measures of sets of shrinking diameters. Other directions of proposed research involving these ingredients are applicable among other things to universal lossy coding, a problem of relevance and much interest for communication theory and to biomolecular data analysis. The theory of large deviations is mainly concerned with rare events or tail estimates on an exponential scale. This theory has proven to be successful as a tool for deriving almost sure asymptotic limits when two levels of randomness are present. Of particular interest are problems in which large deviations estimates and ideas play a decisive role in determining a limit law that holds with probability one.
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Asymptotics in Probability: Walks and Graphs, Disordered Measures, and Dynamics
  • 批准号:
    1954337
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $48.0万
  • 财政年份:
    2020
  • 负责人:
    Amir Dembo
  • 依托单位:
Combinatorial Optimization, Spin Models, and the Geometry of Sparse Random Graphs
  • 批准号:
    1613091
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $60.0万
  • 财政年份:
    2016
  • 负责人:
    Amir Dembo
  • 依托单位:
Mean Field Asymptotic for Stochastic Processes on Graphs
  • 批准号:
    1106627
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $84.95万
  • 财政年份:
    2011
  • 负责人:
    Amir Dembo
  • 依托单位:
Seminar on Stochastic Processes 2009
  • 批准号:
    0844454
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.5万
  • 财政年份:
    2009
  • 负责人:
    Amir Dembo
  • 依托单位:
海外基金