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Inverse Problems in Geometry and Partial Differential Equations

Inverse Problems in Geometry and Partial Differential Equations
几何反问题和偏微分方程
批准号:
0408419
负责人:
Peter Perry
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-06-01 至 2008-05-31

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中文摘要
翻译
题目:几何和偏微分方程的逆问题[j]: Peter A. Perry, University of kentu .摘要本课题涉及三个数学研究领域的逆谱和散射理论:(1)两阶幂零群和紧零流形的谱理论;(2)前域和散射流形的逆共振问题;(3)奇异势的逆散射及其在非线性色散方程中的应用。两步幂零李群作为亚黎曼几何的模型在纯数学中起着重要的作用,并作为具有相同拉普拉斯谱但不同几何的流形的丰富实例来源;利用幂零李群的分析,对这些流形的迹公式进行了详细的研究。共振是非紧流形的离散散射数据,类似于紧流形上的拉普拉斯特征值;反共振问题将在共形和渐近平面几何的背景下进行研究,并且将研究不变量,例如行列式。具有奇异初始数据的非线性色散方程,通过逆散射方法可以看作是具有非常奇异势的散射数据的线性化流。我们希望将KdV和mKdV方程的反散射图扩展到这样的奇异数据,并通过在初始数据的希尔伯特空间上构建流,从动力学的角度来看,这些数据是奇异的,但非常自然。逆谱理论是一门数学学科,它是数学在医学成像、地球物理勘探、无损检测和许多其他领域重要应用的基础。在这些应用中,物理系统(人体、地球或工业材料)的特性是从其对外部施加刺激(电磁辐射、地震波或超声波)的响应中推断出来的。推导出的性质可以粗略地描述为系统的“几何”及其对外部刺激的响应“光谱数据”(或“正态模式”)。研究完全可积系统的一个深刻结果是,某些物理现象,如波浪在浅水中的传播,可以用相关的逆谱问题来解决。因此,逆谱理论的进步使我们能够更好地理解这种非线性波是如何传播的。这个项目的影响将是双重的:首先,它将通过研究精心选择的几何背景来阐明语音和几何之间的关系。其次,通过扩展逆散射理论的工具来研究极奇异波的非线性波传播,将加深我们对非线性色散波的理解。
英文摘要
DMS-0408419Title: Inverse problems in geometry and partial differential equationsPI: Peter A. Perry, University of KentuckyABSTRACTThis project involves inverse spectral and scattering theory in three areasof mathematical investigation: (1) the spectral theory of two-stepnilpotent groups and compact nilmanifolds, (2) the inverse resonance problem forexterior domains and scattering manifolds, and (3) inverse scattering forsingular potentials with applications to nonlinear dispersive equations.Two-step nilpotent lie groups play an important role in pure mathematics as models of sub-Riemannian geometry and as a rich source of examples ofmanifolds with identical Laplace spectra but distinct geometries; adetailed investigation of the trace formula for these manifolds will becarried out using analysis on nilpotent Lie groups. Resonances arediscrete scattering data for non-compact manifolds analogous to theeigenvalues of the Laplacian on a compact manifold; the inverse resonanceproblem will be investigated in the contexts of conformal andasymptotically flat geometries, and invariants such as the determinant willbe studied. Nonlinear dispersive equations with singular initial data maybe viewed, via the inverse scattering method, as linearized flows for thescattering data of a very singular potential. We hope to extend the inversescattering picture for the KdV and mKdV equations to such singular data andobtain greater insight into these dynamical systems--by constructing theflow on Hilbert spaces of initial data which are singular but very naturalfrom a dynamical point of view. Inverse spectral theory is the mathematical discipline thatunderlies important applications of mathematics to medical imaging,geophysical prospection, non-destructive testing, and many other areas.In these applications, properties of a physicalsystem (a human body, the earth, or an industrial material) are deduced from its response to externally imposed stimuli (electromagneticradiation, seismic waves, or ultrasound). The properties deduced may loosely be described as the "geometry" of the system and its response to external stimuli the "spectral data" (or "normalmodes"). A deep result of the study of completely integrable systems is that certain physical phenomena, such as the propagation of waves inshallow water, can be solved using an associated inverse spectral problem.Thus advances in inverse spectral theory lead to a better understanding ofhow such nonlinear waves propagate. The impact of this project will be twofold: first, it will elucidate, by studying carefully chosen geometric contexts, the relation between speectrum and geometry. Secondly, it will deepen our understanding of nonlinear dispersive waves by extending tools of inverse scattering theory to study nonlinear wave propagation with very singular waves.
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会议论文
Conference and Workshop: Scattering and Inverse-Scattering in Multi-Dimensions, May 16-23, 2014
Inverse Scattering and Partial Differential Equations
CBMS Regional Conference in the Mathematical Sciences - Global Harmonic Analysis - June 2011
Spectral Problems in Geometry and Partial Differential Equations
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