Full description
MATLAB code and the generated datasets for the Lyapunov exponent spectra of the Kuramoto-Sivashinsky PDE, as published in the paper 'Lyapunov Exponents of the Kuramoto-Sivashinsky PDE' in 2019. The files are organised as follows:
Code
- code/lyapunovexpts.m contains a MATLAB function implementation of Algorithm 1 from the paper, which is the classic algorithm for finding Lyapunov exponents introduced by Benettin et al. (1980) and Shimada and Nagashima (1979).
- code/dudt_ksperiodic_spectral.m contains a vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE on a periodic domain using a spectral scheme, which can be used with the standard MATLAB ODE solvers to simulate the dynamics.
- code/dudt_ksoddperiodic_finitediff.m contains a similar vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE, but for the "odd-periodic" domain (u = uxx = 0 on x=0,L) and using a finite-difference scheme with error O(dx2).
- code/research_kslyaps{.m,.sh} contain the code that ran the computational experiments (using the above Lyapunov exponents code and the Kuramoto-Sivashinsky ODE-discretisations) to generate the Lyapunov spectra data using MATLAB 2016a on the School of Mathematical Sciences' maths1 Linux server in 2017.
Data
- lyapexpts_ksperiodic.zip contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the periodic domain. Each file has a filename of the form LXYZpW.txt, and contains the 24 most positive Lyapunov exponents computed on the periodic domain [0, L] where L = XYZ.W. (E.g., L097p4.txt contains the exponents for L=97.4.)
- lyapexpts_ksoddperiodic.zip contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the "odd-periodic" domain. Each file has a filename of the form LXYZpW.txt, and contains the 24 most positive Lyapunov exponents computed on the odd-periodic domain [0, L] where L=XYZ.W.
Issued: 2024-07-12
Created: 2024-07-12
Subjects
Complex systems |
Kuramoto-Sivashinsky equation |
Lyapunov exponents |
MATLAB |
chaos theory |
complex systems |
dynamical systems |
nonlinear dynamics |
partial differential equations |
scientific computing |
spatio-temporal chaos |
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Identifiers
- DOI : 10.25909/26184566.V1