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A short introduction and summary to the field of Chaos Theory and what it entails using the logistic map equation. The code comes in the form of a Jupyter Notebook.

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Chaos Theory: An Approach Using Logistic Map

Created by Kai Weterings

I am Physics student doing their bachelors, and enjoying learning various parts of the field through creating coding projects. I hope this helps others grasp a baseline understanding also.

The following repository consists of a Jupyter Notebook explaining the principles of Chaos Theory using the logistic map equation. There are various visual aids which explain the angles of this approach alongside some text based explanations. I hope you will enjoy the interactive plot (including Sliders) to better see the response of the logistic map equation to the input initial conditions. The .png files are preview of the plots created by the Jupyter Notebook.

If necessary, jupyter can easily be installed via the Command Prompt or WSL to be able to use Jupyter as a localhost.

If there are any question I'd be happy to answer any of them, hence contact me by any means possible.

If you are looking for some more information on this topic, please refer to this amazing video made by youtuber Veritasium (this video served as information for me): Link To Video.

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A short introduction and summary to the field of Chaos Theory and what it entails using the logistic map equation. The code comes in the form of a Jupyter Notebook.

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