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Active particles, ratchets and their field theories

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Title: Active particles, ratchets and their field theories
Authors: Zhen, Zigan
Item Type: Thesis or dissertation
Abstract: This thesis aims to address problems in active matter by employing techniques in both stochastic processes and statistical field theories. It is mainly divided into two parts: first, applications of stochastic processes to find the entropy production of var- ious exactly solvable models and solve the dynamics of a Run-and-Tumble particle in a piecewise linear potential, and second, applications of field theories to find the optimal shape for maximising currents of a Run-and-Tumble particle perturbatively and probing the particle identities using different field theories. In Chapter 1, I de- rive various methods and results from stochastic processes that are used in the rest of the thesis. In Chapter 2, I present a self-contained review of entropy production and calculate it from first principles for various exactly solvable models. In Chap- ter 3, I solve the steady-state dynamics of a Run-and-Tumble particle in a piece- wise linear ratchet and calculate various other quantities such as particle current, entropy production and mean first passage time. In Chapter 4, I derive and present Doi-Peliti field theory and response field theory which are used in the rest of the the- sis. In Chapter 5, I present a method of solving the probability distribution perturba- tively and finding the optimal shape of the potential that maximises the probability current for a Run-and-Tumble particle using Doi-Peliti field theory. In Chapter 6, I identify the mechanism where particle entity is enforced in the context of the Doi- Peliti field theory of a diffusive particle and the response field theory that is derived from Dean’s equation.
Content Version: Open Access
Issue Date: Apr-2023
Date Awarded: Aug-2023
URI: http://hdl.handle.net/10044/1/106475
DOI: https://doi.org/10.25560/106475
Copyright Statement: Creative Commons Attribution NonCommercial Licence
Supervisor: Pruessner, Gunnar
Department: Mathematics
Publisher: Imperial College London
Qualification Level: Doctoral
Qualification Name: Doctor of Philosophy (PhD)
Appears in Collections:Mathematics PhD theses



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