Teoria básica das cadeias de Markov

Abstract

Markov chains play a rising and important role in problems solving in several knowledge areas such as: Administration, Biology, Genetics, Meteorology and Game theory. This paper aims show the use of Markov chains stationary distribution. A review about prerequisites necessary for comprehending the theory will be presented in the first chapters. Then, we will introduce the general theory of Markov chains focusing on some of their applications. The last chapter will highlight the Page Rank algorithm, an important feature of Markov chain used by Google to place on top the most interesting web pages related to the researched topic.