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The Fluid Limit Approximation with Random Initial Conditions for Small Noise Processes

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thesis
posted on 2020-08-21, 06:17 authored by JEREMY NARUHITO BAKER
The classical results tell us that the effects of small noise in a smooth dynamical system is negligible on any finite time interval, also known as the fluid limit approximation. This thesis studies situations when it persists on time intervals increasing to infinity, resulting in new random initial conditions appearing in the fluid limit. This has applications in many fields of research, e.g. biology, physics and chemistry, where there are examples of large dynamical systems that arise from small random interactions between many components.

History

Campus location

Australia

Principal supervisor

Fima Klebaner

Additional supervisor 1

Kais Hamza

Year of Award

2020

Department, School or Centre

Mathematics

Course

Doctor of Philosophy

Degree Type

DOCTORATE

Faculty

Faculty of Science