1D Maps - Chaos - A. Idini - Lund University 1/14

How can we describe the number of individuals in a population year by year in a simple way? How can we describe the spread of a virus? Here it comes an easy concept: maps. That is the description of a system in discrete time-steps, and the evolution of the state of the system at a given step exclusively in function of the previous step. These are the return maps. One of the most famous return maps is the logistic map. In this lecture we explain the basics mathematics behind maps and how to find and characterise fixed points. -------------------- These are recordings of the course of Chaos for science and technology at Lund University FMFN05. The course aims at giving an introduction to chaotic systems, i.e. non-linear systems that are deterministic but with a time development which is not predictable over longer periods. The course should give a possibility to reflect over the fascinating phenomena which may show up in chaotic systems, with examples from biology and physics. Other sources: Logistic map simulation applet: http://rocs.hu-berlin.de/D3/logistic/ Veritasium video on logistic map: https://youtu.be/ovJcsL7vyrk Modern on Caos and maps: https://arxiv.org/pdf/nlin/0308023.pdf GitHub: https://www.github.com/lundinchaos Lecturer is Andrea Idini: http://matfys.lth.se/staff/andrea.idini/