Markov Chain has application in all the fields of research and analysis. It is extensively used in thermodynamics and statistical mechanics. It has been suggested that t can be used in describing crystallization and growth of some epitaxial super-lattice oxide materials. The modern technology of speech reorganization uses the Hidden Markov Chain Model. Claude Shannon introduces the concept of entropy through Markov modelling in his 1948 paper “A Mathematical Theory of Communication”. It is widely useful in describing path dependent argument. It is also be used to model many games of chances.
Last but not the least, the Markov Chain can also be applied in real life as well. Through this we can know how frequently dam will overflow depending on the number of rainy days. It is used for deducing the student retention rate in college. In fact, Google with the help of Markov Chain process generator develops page ranking algorithm.
