Shane Kepley
This code repository is supplemental to the paper "Analytic continuation of local (un)stable manifolds with rigorous computer assisted error bounds" by William Kalies, Shane Kepley, and J.D. Mireles James. It provides instructions for reproducing the computational results presented therein.
This code requires the MatLab package IntLab by Sigfried M. Rump for all interval arithmetic calculations. The official webpage for Intlab is here. The present version of this code was tested and runs successfully with Intlab 9.1 and MatLab R2017b. Other versions of IntLab or MatLab are not test and may cause unexpected problems.
The main script is the file lorenzExample_stable_origin.m
which produces the manifold computations found in the manuscript. Running the program with the default parameters (that is making no changes to the code) yields the "slow" stable manifold described on page 40 of the manuscript and illustrated in figure 2. This manifold may be compared with the data recorded in Table 1 which was computed using IntLab 6, Matlab 2014b, and an older implementation of our integrator. We note that due to several improvements in our code, in the IntLab library, and in Matlab itself, the resulting atlas has fewer charts and smaller error than reported in our manuscript. The running time for this manifold is now about 4 hours.
One may also compute a smaller manifold by changing the coefficient of the variable “stopTime” from -1 to another negative value: -1 < tau < 0 on line 32 of the program. For example, setting the integration time to -.5 yields a smaller atlas containing only 633 charts with error ~6.815e-9 in under an hour of computation time. Note that patches which leave the bounding box are thrown away. If the middle of an arc exits the bounding box before the ends of the arc then the cutting produces disconnected results and thus, the final results of the computation need not be connected sets. The user can avoid this by taking a large enough bounding box, but the resulting manifolds are harder to visualize (in our experience). Taking
Users may also experiment with changing the truncation order in space or time to illustrate its the impact of truncation on error bounds.. These are specified by
Please report bugs to [email protected]