The Markov Property is a fundamental characteristic of stochastic processes, particularly Markov chains. It states that the future state of a process depends solely on its present state, not on its past states. Mathematically, this can be expressed as:
for any states and any non-negative integer . This property implies that the sequence of states forms a memoryless process, meaning that knowing the current state provides all necessary information to predict the next state. The Markov Property is essential in various fields, including economics, physics, and computer science, as it simplifies the analysis of complex systems.
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