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Numerical Inversion of the Laplace Transform and its Applications to Evolution Equations

Numerical Inversion of the Laplace Transform and its Applications to Evolution Equations
拉普拉斯变换的数值反演及其在演化方程中的应用
批准号:
1008101
负责人:
Patricio Jara
金额:
$10.01万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-15 至 2015-02-28

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中文摘要
翻译
JaraDMS-1008101研究了向量值拉普拉斯变换的数值逆的理论和应用。其目的是(I)将研究者的Laplace变换数值逆的结果推广到无噪声的情形,(Ii)发展向量值Laplace变换数值逆的新的逼近方法,(Iii)证明Laplace变换的逆与有限元理论一起为卷积型发展方程的解的数值逼近提供了坚实的基础,(Iv)将逼近方法应用于多尺度多孔材料中的输运问题,以及(V)为本科生提供研究经验。其主要思想是将一般Banach空间中具有值的连续指数有界函数空间上的移位算子半群的逼近方法转化为这些函数的拉普拉斯变换的逆的逼近方法。进化过程出现在许多科学问题中,如流体流动、图像处理、机械系统、相对论、数学金融学和数学生物学。这些过程可用一类积分偏微分方程解来描述。然而,在大多数情况下,这些解不能被显式计算,因为它们要么找不到,要么不是以简单的代数形式获得的。因此,为了获得对演化过程的准确描述,人们需要对这些方程的解进行精确的近似。研究者和他的合作者最近发展的关于拉普拉斯变换的可伸缩方法提供了卷积型积分-偏微分方程解的精确近似。主要研究者进一步发展和实现了新的近似方法,并使用这些方法精确地描述了不同的演化过程。本科生的研究经验是通过使用不同的方法近似解决与多尺度多孔材料中的运输有关的问题的解决方案,如石油和天然气勘探,或控制地下污染源,如高放射性废物和地质储存的二氧化碳。
英文摘要
JaraDMS-1008101 The investigator studies the theory and applications of thenumerical inversion of the vector-valued Laplace transform. Theobjectives are (i) to extend the investigator's results for thenumerical inversion of the Laplace transform beyond thenoise-free case, (ii) to develop new approximation methods forthe numerical inversion of the vector-valued Laplace transform,(iii) to show that the inversion of the Laplace transformtogether with the theory of finite elements provide a solidfoundation for the numerical approximation of solutions ofevolution equations of convolution type, (iv) to apply theapproximation methods to problems arising from transport inmultiscale porous materials, and (v) to provide researchexperience for undergraduate students. The main idea is thatapproximation methods for the shift operator semigroup on thespace of continuous and exponentially bounded functions withvalues in a general Banach space translates into approximationmethods for the inversion of the Laplace transform of thesefunctions. Evolution processes arise in many scientific problems, suchas fluid flows, image processing, mechanical systems, relativity,mathematical finance, and mathematical biology. These processesare described by the solutions of certain integro-partialdifferential equations. However, in most of these cases, thesolutions cannot be calculated explicitly because either theycannot be found or they are not obtained in a plain algebraicform. Thus, in order to obtain an accurate description of theevolution process, one needs to develop accurate approximationsto the solutions of these equations. The scalable methodsrecently developed by the investigator and his collaboratorsconcerning the Laplace transform provide accurate approximationsto solutions of integro-partial differential equations ofconvolution type. The principal investigator further developsand implements new approximation methods, and uses these methodsfor the accurate description of different evolution processes. Undergraduate research experience is provided to students byusing the different methods to approximate the solutions ofproblems related to transport in multiscale porous materials,like oil and gas exploration, or controlling underground sourcesof pollution such as high-level radioactive waste andgeologically stored carbon dioxide.
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