Fourier Integrals and Generalized Radon Transforms

建议：DMS-9877101主要研究员：Allan T.Greenleaf摘要：将研究与正则关系相关的傅立叶积分算子的估计，其投影表现出稳定的奇点类别，特别是高阶尖点。对于双边尖点，将得到奇异簇附近算子的新分解。这些估计和分解将应用于广义Radon变换的有界性，特别是曲线族和受限X射线变换在Sobolev空间和Lebesgue型空间上的平均。此外，还将研究积分几何和地震反问题中出现的一类退化的傅立叶积分算子，并得到它们的复合演算。极小次代数变分超平面截面的Goncharov复形和线性化源问题的正向算子的实类比将为这类算子提供重要的原型。本项目所分析的算子是一类特殊的傅里叶积分算子，在过去的30年里一直被用来构造线性偏微分方程组的近似解。这些方程支配着基本的物理过程，如薄膜的振动和电磁场的传播。最近，人们发现傅里叶积分运算符出现在其他环境中，例如层析成像(医学成像)和地球物理勘探。在各种几何假设下更详细地理解这些运算符，将提高我们对所模拟的物理系统的定性和定量行为的理解。

Proposal: DMS-9877101Principal Investigator: Allan T. GreenleafAbstract: Estimates for Fourier integral operators associated with canonical relations whose projections exhibit stable classes of singularities, higher-order cusps in particular, will be investigated. For two-sided cusps, new decompositions of the operators near the singular varieties will be developed. These estimates and decompositions will have applications to boundedness properties of generalized Radon transforms, particularly averages over families of curves and restricted X-ray transforms, on Sobolev and Lebesgue spaces. In addition, classes of degenerate Fourier integral operators arising in integral geometry and inverse seismic problems will be studied and composition calculi obtained for them. Real analogues of Goncharov's complexes of hyperplane sections of algebraic varieties of minimal degree and the forward operator for linearized source problems will provide important prototypes of such operators.The operators analyzed in this project are special classes of Fourier integral operators, which have been used for the last thirty years to construct approximate solutions to linear partial differential equations. Such equations govern basic physical processes, such as vibration of membranes and propagation of electromagnetic fields. More recently, it has been found that Fourier integral operators arise in other settings, such as tomography (medical imaging) and geophysical exploration. More detailed understanding of these operators under a variety of geometric assumptions will improve our understanding of both the qualitative and quantitative behavior of the physical systems being modelled.