How do you show a Markov chain is irreducible?

How do you show a Markov chain is irreducible?

Definition A Markov chain is called irreducible if and only if all states belong to one communication class. A Markov chain is called reducible if and only if there are two or more communication classes. A finite Markov chain is irreducible if and only if its graph representation is a strongly connected graph.

What does an irreducible Markov chain mean?

Irreducible is said to mean that the stochastic process can “go from any state to any state”.

Is simple random walk irreducible?

The Markov chain corresponding to a random walk on a graph is irreducible if and only if the graph is connected. The Markov chain corresponding to a random walk on a connected graph G is aperiodic if and only if G is not bipartite.

What are the properties of a Markov chain?

Properties of Markov Chains: Reducibility. Markov chain has Irreducible property if it has the possibility to transit from one state to another. Periodicity. If a state P has period R if a return to state P has to occur in R multiple ways. Transience and recurrence. Ergodicity.

What is a homogeneous Markov chain?

I learned that a Markov chain is a graph that describes how the state changes over time, and a homogeneous Markov chain is such a graph that its system dynamic doesn’t change. Here the system dynamic is something also called transition kernel which means the calculation of the probability from one station to the next station.

How does a Markov chain work?

A Markov chain is a mathematical system that experiences transitions from one state to another according to certain probabilistic rules. The defining characteristic of a Markov chain is that no matter how the process arrived at its present state, the possible future states are fixed.

What is Markov chain applications?

It is named after the Russian mathematician Andrey Markov . Markov chains have many applications as statistical models of real-world processes , such as studying cruise control systems in motor vehicles, queues or lines of customers arriving at an airport, currency exchange rates and animal population dynamics.