I wrote about Claude Shannon who used Markov chains in information theory. See http://www.kinberg.net/wordpress/stellan/equations/#informationtheory
Where event probability depends on other events. So the events are dependent.
Can be illustrated with a Bayesian network like this:
Another good course is this:
Origins of Markov chains is explained by Khan Academy
Everything in the world is governed by precise ratios and a constant law of change.
Shannon information theory
I dont know why Edward Witten choose to start with a short introduction to Communication theory (the Shannon theory) at “Theoretical Physics 2018: From Qubits to Spacetime”
I presume it is important to know about this, to understand the theory of Quantum mechanics and aspects of General Relativity as he says to continue with at the conference.
I decided to take a look at C.E. Shannons book from 1948 ” A mathematical theory of Communication“
the video with English text is here.
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