Title:
Persistence of Invariant Objects under Delay Perturbations

dc.contributor.advisor de la Llave, Rafael
dc.contributor.author Yang, Jiaqi
dc.contributor.committeeMember Dieci, Luca
dc.contributor.committeeMember Verriest, Erik I.
dc.contributor.committeeMember Yao, Yao
dc.contributor.committeeMember Zeng, Chongchun
dc.contributor.department Mathematics
dc.date.accessioned 2021-09-15T15:44:48Z
dc.date.available 2021-09-15T15:44:48Z
dc.date.created 2021-08
dc.date.issued 2021-07-30
dc.date.submitted August 2021
dc.date.updated 2021-09-15T15:44:48Z
dc.description.abstract In this dissertation, we investigate functional differential equations which come from adding delay-related perturbations to ODEs or evolutionary PDEs. Despite the singular nature of the perturbations, when the perturbations are small, we get that some invariant objects of the unperturbed equations persist and depend on the parameters with high regularity. The results apply to equations with state-dependent delay perturbations and equations arising in electrodynamics. This is based on joint work with Joan Gimeno and Rafael de la Llave.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/65094
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Functional differential equations
dc.subject Invariant objects
dc.subject Perturbations
dc.subject Parameterization method
dc.subject Smooth dependence on parameters
dc.title Persistence of Invariant Objects under Delay Perturbations
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor de la Llave, Rafael
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Mathematics
relation.isAdvisorOfPublication bcb9ce02-4d32-4a81-a294-917532ca7391
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication 84e5d930-8c17-4e24-96cc-63f5ab63da69
thesis.degree.level Doctoral
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
YANG-DISSERTATION-2021.pdf
Size:
919.06 KB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
LICENSE.txt
Size:
3.86 KB
Format:
Plain Text
Description: