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Simulation of a Markov Chain walk in a binary tree
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README.md

Simulation of a Markov chain walk in a binary tree

File mcBinTree.py runs several simulations and takes the mean of each experiment and outputs the plot of the mean and the stopping time of the simulation.

File oneRunMC.py is just a single experiment of the simulation.

File mcSim.py shows how fast in Total Variation norm does the Markov Chain converges to the stationary distribution.

File makeTree.py build a special tree data structure.

File mcMatrix.py builds a matrix from a tree created by makeTree.py.

File totalVariationNorm.py has two of the ways to measure the TV norm.

Note: the n-arity of the tree can be changed, but the code might have to be changed a bit.