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Positive recurrence without aperiodicity does not imply total-variation convergence
Statement refuted
Aperiodicity cannot be dropped from the total-variation convergence theorem. The refuted claim is: if is an irreducible positive-recurrent transition matrix on a countable state space with invariant probability , then for every . The deterministic directed three-cycle on refutes this. It is irreducible, every state is positive recurrent with , and is invariant; but the -step law from is the point mass at , so
and the laws do not converge, although the Cesàro averages do converge to . The failure is therefore confined to ordinary time, and the period is exactly three.
Facts & Assumptions
Given: AC; the one-point probability space with ; the process on it; the matrix for with indices modulo and all other entries ; and .
Every family of nonempty sets has a choice function; AC is assumed and is used through the general Cesàro supplier [F10], whose conclusion is verified independently for the present matrix in step 4.1. (The Axiom of Choice)
For a countable probability kernel, and for , with and . (Transition matrices and n-step probabilities)
For , . (Matrix Chapman–Kolmogorov equations)
means for some ; states communicate when each is accessible from the other, and the chain is irreducible when every pair communicates. (Accessibility, communication, and irreducibility)
On a countable state space a probability vector is invariant exactly when for every . (Invariant and stationary distribution for a Markov kernel)
, with infimum over the empty set; for a process started at the later return times are assigned if the preceding one is infinite. (Hitting, return, and visit times)
A recurrent state is positive recurrent when and null recurrent when . (Positive and null recurrence of a state)
is the positive return set, and when it is nonempty is the greatest positive integer dividing every element of . (Period of a state)
For an irreducible chain the state periods agree, the common value is positive and is called , and the chain is aperiodic when . (Aperiodic irreducible chain)
, and on a countable discrete space . (Total variation distance for probability laws, Half- formula for total variation on a countable space)
Assume AC. For an irreducible positive-recurrent on countable with invariant probability , for all . (Cesaro convergence for irreducible positive-recurrent chains)
Counterexample
Given: AC; the one-point space ; ; the matrix (indices mod ) with all other entries ; and .
Proof technique: compute the powers of exactly, verify that is the corresponding periodic chain, and read off irreducibility, positive recurrence, the period, the nonconvergent -step laws and the convergent Cesàro means.
The matrix is a transition matrix: its entries are or , and every row has the single entry , so every row sums to one. By [F2] an induction on gives when and otherwise: the case is [F1], and takes the value exactly when . In particular is the identity matrix, exactly when divides , and the -step law from is the point mass at .
The process is a -chain started at : , and for every and the conditional probability is the almost-sure class of the constant , while by step 1.1; the two sides agree, and the same computation applied to the shifted process shows that each shift is a -chain started at .
The chain is irreducible: given , the integer lies in and step 1.1 gives , so ; interchanging and gives .
The law is invariant: each column of has exactly one entry , namely , so for every , which is the criterion of [F4].
Failure of ordinary convergence: by step 1.1 the -step law from is the point mass , and the half- formula [F9] gives for each . Hence for every , including , and the sequence of laws does not converge to ; it cycles through three distinct point masses.
Every state is positive recurrent with return time three: for the chain started at , step 2.1 gives , so exactly when divides ; by [F5] this says identically, hence and , and [F6] makes positive recurrent.
The chain is not aperiodic: by step 1.1 the positive return set of [F7] is , whose greatest common divisor is , so for every ; since the chain is irreducible by step 2.2 the periods agree, and [F8] gives , so is not aperiodic.
Cesàro convergence: put . Step 1.1 gives for all , since exactly one of satisfies . Writing with and (so , , ), the periodicity in step 1.1 gives , hence because and ; for divisible by the average equals exactly. The chain is irreducible and positive recurrent with invariant by steps 2.2–2.4, so the general supplier [F10] gives the same limit, and the present computation verifies it directly.
Boundary and scope cases: the value is included and step 2.4 covers it, so the divergence is present from the first term and is not an artifact of a tail; the distance is with period , and for the deterministic two-cycle () the same formula gives , so no single nonzero constant is being asserted and the example is sharp at period three; the state space is finite, so all sums in steps 2.3 and 4.1 are finite and no summation is interchanged; the chain lies outside the aperiodicity hypothesis by step 3.2, which is exactly the hypothesis whose necessity is being shown; the process is built by the explicit formula on a one-point space, so no selection is made in steps 1.1–3.1, and AC [A1] is spent only on the general Cesàro supplier [F10], whose conclusion step 4.1 also establishes directly; the item refutes only the failure direction "positive recurrence without aperiodicity implies total-variation convergence", and it claims no converse and no failure of Cesàro convergence.
Depends on
- The Axiom of Choice
- Transition matrices and n-step probabilities
- Matrix Chapman–Kolmogorov equations
- Accessibility, communication, and irreducibility
- Invariant and stationary distribution for a Markov kernel
- Hitting, return, and visit times
- Positive and null recurrence of a state
- Period of a state
- Aperiodic irreducible chain
- Total variation distance for probability laws
- Half-$\ell^1$ formula for total variation on a countable space
- Cesaro convergence for irreducible positive-recurrent chains
Used by
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