10.25560/1266
Gratrix, Sam
Imperial College London
Mathematics
Spatiotemporal chaos analysed through unstable periodic states
Imperial College London
2006
Elgin, John
EPSRC
2006-08-24
2006-08-24
Doctor of Philosophy (PhD)
10044/1/1266
Multifractal properties of a chaotic attractor are usefully quantified by its spectrum of singularities, f(α). Here, α is the pointwise dimension of the natural measure at a point on the attractor, and f(α) is the Hausdorff dimension of all points with pointwise dimension α. Within a more general thermodynamic formalism, the singularity spectrum is one of several ways in which the properties of an attractor can be quantified. The technique used to realize the singularity spectrum is orbit theory. This theory tells one how to take properties of finite time solutions and combine them to approximate the infinite time behaviour, thereby allowing qualitative and quantitative predictions to be made. These techniques are first applied to the Lorenz system, where it is also shown that the variation in the pointwise dimension on a surface of section has self-similar structure. The general idea of studying the properties of a nonlinear system through the periodic orbits it supports has, to date, been primarily applied to low-dimensional dynamical systems. In the thesis we develop the technique so that it can be applied to the infinite-dimensional Kuramoto-Sivashinsky equation. The continuation and bifurcation package Auto is used to investigate stability and bifurcation properties of different types of special solutions to the Kuramoto-Sivashinsky equation, following an expansion in Fourier modes. One such class of solutions is defined by the Michelson equation, to which a very detailed numerical bifurcation analysis is given. Orbit theory is applied to regimes of an asymmetric Kuramoto-Sivashinsky equation where complicated behaviour is observed in a manner similar to that used in lowdimensional systems. Each periodic orbit can be considered as a spatiotemporal pattern, in which both qualitative (the structure and bifurcations of) and quantitative (the dimension and spectrum of Lyapunov exponents) aspects are discussed.