Radial estimate of isotropic pseudo-differential operators via FBI transform

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Abstract/Contents

Abstract
This works aims to prove the propagation of singularities and the radial estimates in smooth isotropic symbol settings. The behavior of the Hamilton vector field of pseudo differential operator symbols and the wave front set of the solutions has been well studied. There are classical results in the standard smooth symbols settings, linking the flow of the Hamilton vector field of the symbol with the operator's regularity propagation by Hörmander. Melrose and Vasy then also establish the regularity behavior of solutions around radial points when it forms a sink or source for the Hamilton vector field. This paper extends such results into the setting of isotropic symbols. First setting up the connections between the isotropic and standard symbols, the paper will then utilize the FBI transform mechanisms, similar to the work of Martinez, to achieve results similar to the standard commutator method. Then we shall refine the results in the isotropic setting from Martinez's FBI estimate. Finally a standard regularization process shall be deployed to establish the more precise high regularity threshold

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2020; ©2020
Publication date 2020; 2020
Issuance monographic
Language English

Creators/Contributors

Author Zhu, Beite
Degree supervisor Vasy, András
Thesis advisor Vasy, András
Thesis advisor Luk, Jonathan, (Professor)
Thesis advisor Mazzeo, Rafe
Degree committee member Luk, Jonathan, (Professor)
Degree committee member Mazzeo, Rafe
Associated with Stanford University, Department of Mathematics

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Beite Zhu
Note Submitted to the Department of Mathematics
Thesis Thesis Ph.D. Stanford University 2020
Location electronic resource

Access conditions

Copyright
© 2020 by Beite Zhu
License
This work is licensed under a Creative Commons Attribution 3.0 Unported license (CC BY).

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