CAREER: Stochastic analysis and numerics in partial differential equations and extended dynamical systems
CAREER: Stochastic analysis and numerics in partial differential equations and extended dynamical systems
批准号:
0449910
负责人:
Jonathan Mattingly
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2005
资助国家:
美国
项目状态:
已结题
起止时间:
2005-07-01 至 2011-06-30
中文摘要
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英文摘要
The importance of stochastic modeling is increasing in all engineering and scientific disciplines. The inclusion of random effects can serve a number of distinct purposes. On one hand, randomness can be used to compensate for elements of a system not fully modeled or for insufficiently resolved scales in the system. This research proposal concentrates on the analysis of how randomness spreads through large dimensional, extended dynamical systems. One of the central questions is how passing through many nonlinear interactions or scales shapes the randomness. Stochastically forced partial differential equations (SPDEs) such as stochastic fluid equations or stochastically forced reaction diffusion equations will be a focus of the proposed work. These systems are often agitated at one scale and it is of both mathematical and modeling interest to understand the effect of this agitation at other scales. In particular, this proposal hopes to shed light on the transfer of randomness between different scales in turbulent fluid flow. In addition to SPDEs, the proposal will study related questions in large chemical networks arising in cell regulation and nutrient flow in forest environments. The emphasis will be on the pathwise dynamics, novel stochastic numerical methods, and estimation problems.Quantifying and modeling uncertainty is increasingly important in our attempts to understand and predict our complex and changing world. From the financial markets, to weather prediction, to environmental engendering, to neuroscience, to aeronautics, models including random influences have become central to the physical sciences, to the social sciences and to engineering. Of particular significance is understanding how pure randomness is shaped into the structures we observe, especially when the randomness is transferred across disparate spatial scales. This understanding is the key to producing effective models with which to predict complex real systems. This proposal specifically addresses questions central to turbulent water flow and complicated biochemical pathways in cells. More broadly, applied mathematicians are on the leading edge ofour scientific and technological future. Because of their broad training, they are the best equipped to move into new, non-traditional fields as they appear, build the bridges between classical disciplines, and disseminate the understanding gained in purer mathematical studies to larger scientific and social endeavors. America's leadership in science and technology requires usto continue producing world-class researchers and students in applied mathematics. This proposal includes an undergraduate research component to encourage interested students to choose a science-related career. It includes outreach to local high schools to expose students at an earlier age to modern mathematics and the myriad of career possibilities it presents.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Southeastern Probability Conference 2017: Special Edition Interacting Particle Systems with Applications in Biology, Ecology, and Statistical Physics
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批准号:1719189
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项目类别:Standard Grant
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资助金额:$3.0万
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财政年份:2017
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负责人:Jonathan Mattingly
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依托单位:
Collaborative Research: Propagation of Dissipation: Stochastic Stabilization in Finite and Infinite Dimensions
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批准号:1613337
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项目类别:Standard Grant
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资助金额:$22.86万
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财政年份:2016
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负责人:Jonathan Mattingly
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依托单位:
FRG: Collaborative Research: Stochastics and Dynamics: Asymptotic problems
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批准号:0854879
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项目类别:Standard Grant
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资助金额:$17.63万
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财政年份:2009
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负责人:Jonathan Mattingly
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依托单位:
MSPRF: Stochastic PDSs and Multiscale Phenomena
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批准号:9971087
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项目类别:Fellowship Award
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资助金额:$9.0万
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财政年份:1999
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负责人:Jonathan Mattingly
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依托单位:
国内基金
海外基金
Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
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批准号:--
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项目类别:--
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资助金额:40万元
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批准年份:2020
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负责人:Vikrant Gupta
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依托单位:
基于梯度增强Stochastic Co-Kriging的CFD非嵌入式不确定性量化方法研究
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批准号:11902320
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项目类别:青年科学基金项目
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资助金额:24.0万元
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批准年份:2019
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负责人:王波
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依托单位: