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  5. High order tail-terms of the Hadamard Green's function
 
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High order tail-terms of the Hadamard Green's function

Author(s)
Kiely, Kevin  
Uri
http://hdl.handle.net/10197/31401
Date Issued
2025
Date Available
2026-02-04T11:48:05Z
Abstract
One of the key sources of gravitational waves detected by LISA is expected to be extreme mass ratio inspirals (EMRIs). The mass ratio of such binary systems provides an excellent small parameter for perturbation theory. This allows one to linearise the Einstein field equations by expanding the full metric as a background metric of the primary, plus corrections in powers of the mass ratio. The linearised Einstein field equations describe a wave equation in the Lorenz gauge. The Green's function of the wave equation plays a key role in determining the motion of the secondary. Due to the nature of backscattering in curved spacetimes, the Green's function is not determined solely on the light cone but is instead governed by an integral over the entire past history of the worldline. This is known as the tail term. The Green's function can be expanded analytically near the worldline in a quasi-local Hadamard expansion. The expansion is given in terms of bi-tensors, which are defined in a neighbourhood near a given position x. Further covariant Taylor series expansions of these objects allow one to determine analytically the tail term’s contributions for early times near the worldline. Canonicalised higher-order tail terms for both the electromagnetic and gravitational cases have been calculated using a Mathematica package, “TInvar,” developed for canonicalising Riemann polynomials in the Fulling–King–Wybourne–Cummins (FKWC) basis.
Type of Material
Doctoral Thesis
Qualification Name
Doctor of Philosophy (Ph.D.)
Publisher
University College Dublin. School of Mathematics and Statistics
Copyright (Published Version)
2025 the Author
Subjects

Green's functions

Self-force

Gravitational wave as...

Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
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Kevin_s_PhD_Thesis.pdf

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Owning collection
Mathematics and Statistics Theses

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
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