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periodicity of a Markov chain
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(Definition)
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Let $\lbrace X_n \rbrace$ be a stationary Markov chain with state space $I$ . Let $P_{ij}^{n}$ be the $n$ -step transition probability that the process goes from state $i$ at time $0$ to state $j$ at time $n$ : $$P_{ij}^{n}=P(X_n=j\mid X_0=i).$$
Given any state $i\in I$ , define the set $$N(i):=\lbrace n\ge 1\mid P_{ii}^n>0\rbrace.$$ It is not hard to see that if $n,m\in N(i)$ , then $n+m\in N(i)$ . The period of $i$ , denoted by $d(i)$ , is defined as $$ d(i):=\begin{cases} 0&\text{if } N(i)=\varnothing,\\ \gcd (N(i))&\text{otherwise}, \end{cases} $$ where $\gcd(N(i))$ is the greatest common divisor of all positive integers in $N(i)$ .
A state $i\in I$ is said to be aperiodic if $d(i)=1$ . A Markov chain is called aperiodic if every state is aperiodic.
Property. If states $i,j\in I$ communicate, then $d(i)=d(j)$ .
Proof. We will employ a common inequality involving the $n$ -step transition probabilities: $$P_{ij}^{m+n}\ge P_{ik}^m P_{kj}^n$$ for any $i,j,k\in I$ and non-negative integers $m,n$ .
Suppose first that $d(i)=0$ . Since $i\leftrightarrow j$ , $\displaystyle{ P_{ij}^n>0}$ and $P_{ji}^m>0$ for some $n,m\ge 0$ . This implies that $P_{ii}^{m+n}>0$ , which forces $m+n=0$ or $m=n=0$ , and hence $j=i$ .
Next, assume $d(i)>0$ , this means that $N(i)\ne \varnothing$ . Since $i\leftrightarrow j$ , there are $r,s\ge 0$ such that $P_{ji}^r>0$ and $P_{ij}^s>0$ , and so $P_{jj}^{r+s}>0$ , showing $r+s\in N(j)$ . If we pick any $n\in N$ , we also have $\displaystyle{ P_{jj}^{r+n+s}\ge P_{ji}^r P_{ii}^n P_{ij}^s>0 }$ , or $r+s+n\in N(j)$ . But this means $d(j)$ divides both $r+s$ and $r+s+n$ , and so $d(j)$ divides their difference, which is $n$ . Since $n$ is arbitrarily picked, $d(j)\mid d(i)$ . Similarly, $d(i)\mid d(j)$ . Hence $d(i)=d(j)$ . 
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"periodicity of a Markov chain" is owned by CWoo.
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| Also defines: |
period of a state, aperiodic state, aperiodic Markov chain |
This object's parent.
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Cross-references: difference, divides, forces, implies, inequality, property, integers, positive, greatest common divisor, period, transition probability, state space, Markov chain
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This is version 4 of periodicity of a Markov chain, born on 2006-11-15, modified 2006-11-16.
Object id is 8556, canonical name is PeriodicityOfAMarkovChain.
Accessed 4104 times total.
Classification:
| AMS MSC: | 60J10 (Probability theory and stochastic processes :: Markov processes :: Markov chains with discrete parameter) |
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Pending Errata and Addenda
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