Back to results

University of Cambridge

An Optimisation-Based Approach to FKPP-Type Equations

Abstract

dc:description.abstract

In this thesis, we study a class of reaction-diffusion equations of the form \frac{\partial u}{\partial t} = \mathcal{L}u + \phi u - \tfrac{1}{k} uk+1 where $\mathcal{L}$ is the stochastic generator of a Markov process, $\phi$ is a function of the space variables and $k\in \mathbb{R}\backslash\{0\}$. An important example, in the case when $k>0$, is equations of the FKPP-type. We also give an example from the theory of utility maximisation problems when such equations arise and in this case $k<0$. We introduce a new representation, for the solution of the equation, as the optimal value of an optimal control problem. We also give a second representation which can be seen as a dual problem to the first optimisation problem. We note that this is a new type of dual problem and we compare it to the standard Lagrangian dual formulation. By choosing controls in the optimisation problems we obtain upper and lower bounds on the solution to the PDE. We use these bounds to study the speed of the wave front of the PDE in the case when $\mathcal{L}$ is the generator of a suitable Lévy process.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Driver, David Philip
Advisor dc:contributor.advisor
  • Tehranchi, Michael

Subjects

dc:subject × 8

Rights

dc:rights
Language dc:language
en

Identifiers

dc:identifier.*
Author Identifier
0000-0002-4159-8120
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/277769

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Driver, David Philip. An Optimisation-Based Approach to FKPP-Type Equations. Doctoral thesis, University of Cambridge, 2018. https://doi.org/10.17863/CAM.25108