Markov Chains can be used as mathematical models of real-world situations found in biology, business, chemistry, communications, engineering, physics, weather forecasting, and other applications. Markov Chains are used when you are repeating an experiment or measurement many times in the same way, and the outcome of each trial depends only on the immediately preceding trial.

Please talk about vector spaces and how they are used in Markov Chains. Markov Chains are used in business, science and/or the military. What are some typical real world situations where you find Markov Chains being used? Pick one such situation and describe it in some detail. What was the most interesting thing you learned about how Markov Chains are being employed?

Be sure to pick a situation to discuss that nobody else has explored in depth yet. Put the application you chose to explore in depth in the subject line heading of your initial post (for example, “Markov Chains in weather forecasting”).

http://www.sosmath.com/matrix/markov/markov.html

http://dept.stat.lsa.umich.edu/~ionides/620/notes/markov_chains.pdf

http://en.wikipedia.org/wiki/Examples_of_Markov_chains

http://www.math.ucla.edu/~pejman/intro2prob/LiveMeeting10.pdf

http://www.cs.princeton.edu/courses/archive/spring12/cos423/bib/MarkovChains-3.pdf