The last post in the ARFIMA series was not the last stop in understanding the model we have studied in [1]. In the paper we have looked at ARFIMA as a model for fractional Levy stable motion (abbr. FLSM), which is a generalization of Brownian motion in two regards: fractionality and noise distribution.

In this Numberphile video Matt Henderson talks about creating animations illustrating chaos theory. In fact it is somewhat surprising that apparently simple linear system (bouncing ball) exhibits chaotic behavior. How? Watch the video below and find out.

Slowly but surely we have finally reached ARFIMA model! Taking such small step (adding letter F to the acronym) took a lot of effort, but it was worth it. Why? Well, this exercise has allowed me to get a glimpse at fractional calculus and develop some intuition with this tool.

Last time we have looked into fractional derivatives and even managed to derive fractional derivative for \( f(x) = x \). For more complicated functions this is much more problematic. Here, in this post, we will show you a quick numerical method to calculate fractional derivative of any arbitrary series.

This video from Tom Rocks Maths Youtube channel talks about L-system. One can use L-system to artificially generate realistic botanical drawings. Fascinating isn't it?