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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 p is an irreducible positive-recurrent transition matrix on a countable state space E with invariant probability π, then ∥p(n)(x,⋅)−π∥TV→0 for every x∈E. The deterministic directed three-cycle on E={0,1,2} refutes this. It is irreducible, every state is positive recurrent with ExTx+=3, and π=(1/3,1/3,1/3) is invariant; but the n-step law from 0 is the point mass at n mod 3, so

∥p(n)(0,⋅)−π∥TV=23for every n≥0,

and the laws do not converge, although the Cesàro averages 1n∑k=0n−1p(k)(x,y) do converge to π(y). The failure is therefore confined to ordinary time, and the period is exactly three.

Facts & Assumptions

Given: AC; the one-point probability space (Ω,F,P) with Ω={ω}; the process Xn:=n mod 3 on it; the matrix p(i,i+1)=1 for i∈{0,1,2} with indices modulo 3 and all other entries 0; and π=(1/3,1/3,1/3).

[A1]

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)

[F1]

For a countable probability kernel, p(x,y)=K(x,{y}) and p(n)(x,y)=Kn(x,{y}) for n∈N0, with p(0)(x,y)=1{x=y} and ∑yp(n)(x,y)=1. (Transition matrices and n-step probabilities)

[F2]

For r,s≥0, p(r+s)(x,z)=∑w∈Ep(r)(x,w)p(s)(w,z). (Matrix Chapman–Kolmogorov equations)

[F3]

x→y means p(n)(x,y)>0 for some n≥0; states communicate when each is accessible from the other, and the chain is irreducible when every pair communicates. (Accessibility, communication, and irreducibility)

[F4]

On a countable state space a probability vector π is invariant exactly when π(y)=∑x∈Eπ(x)p(x,y) for every y∈E. (Invariant and stationary distribution for a Markov kernel)

[F5]

Tx+:=inf⁡{n≥1:Xn=x}, with infimum +∞ over the empty set; for a process started at x the later return times are assigned +∞ if the preceding one is infinite. (Hitting, return, and visit times)

[F6]

A recurrent state x is positive recurrent when ExTx+<+∞ and null recurrent when ExTx+=+∞. (Positive and null recurrence of a state)

[F7]

Rx={n≥1:p(n)(x,x)>0} is the positive return set, and when it is nonempty d(x) is the greatest positive integer dividing every element of Rx. (Period of a state)

[F8]

For an irreducible chain the state periods d(x) agree, the common value is positive and is called per⁡(p), and the chain is aperiodic when per⁡(p)=1. (Aperiodic irreducible chain)

[F9]

∥μ−ν∥TV=sup⁡A∣μ(A)−ν(A)∣, and on a countable discrete space ∥μ−ν∥TV=12∑x∈E∣μ(x)−ν(x)∣. (Total variation distance for probability laws, Half-ℓ1 formula for total variation on a countable space)

[F10]

Assume AC. For an irreducible positive-recurrent p on countable E with invariant probability π, 1n∑k=0n−1p(k)(x,y)→π(y) for all x,y∈E. (Cesaro convergence for irreducible positive-recurrent chains)

Counterexample

Given: AC; the one-point space Ω={ω}; Xn=n mod 3; the matrix p(i,i+1)=1 (indices mod 3) with all other entries 0; and π=(1/3,1/3,1/3).

Proof technique: compute the powers of p exactly, verify that X is the corresponding periodic chain, and read off irreducibility, positive recurrence, the period, the nonconvergent n-step laws and the convergent Cesàro means.

1.1F1F2algebra

The matrix p is a transition matrix: its entries are 0 or 1, and every row has the single entry p(i,i+1)=1, so every row sums to one. By [F2] an induction on n gives p(n)(x,y)=1 when y≡x+n(mod3) and p(n)(x,y)=0 otherwise: the case n=0 is [F1], and p(n+1)(x,y)=∑wp(n)(x,w)p(w,y)=p(n)(x,y−1) takes the value 1 exactly when y−1≡x+n(mod3). In particular p(3) is the identity matrix, p(n)(x,x)=1 exactly when 3 divides n, and the n-step law from x is the point mass at (x+n) mod 3.

2.1F1step 1.1given

The process X is a p-chain started at 0: X0=0, and for every n≥0 and A⊆E the conditional probability P(Xn+1∈A∣Fn) is the almost-sure class of the constant 1{n+1 mod 3∈A}, while K(Xn,A)=p(n mod 3,A)=1{n+1 mod 3∈A} by step 1.1; the two sides agree, and the same computation applied to the shifted process Xn(x):=(x+n) mod 3 shows that each shift is a p-chain started at x.

2.2F3step 1.1

The chain is irreducible: given x,y∈E, the integer k:=(y−x) mod 3 lies in {0,1,2} and step 1.1 gives p(k)(x,y)=1>0, so x→y; interchanging x and y gives y→x.

2.3F4step 1.1

The law π is invariant: each column of p has exactly one entry 1, namely p(y−1,y)=1, so ∑x∈Eπ(x)p(x,y)=13⋅1=13=π(y) for every y, which is the criterion of [F4].

2.4F9step 1.1

Failure of ordinary convergence: by step 1.1 the n-step law from 0 is the point mass δn mod 3, and the half-ℓ1 formula [F9] gives ∥δj−π∥TV=12(23+13+13)=23 for each j∈{0,1,2}. Hence ∥p(n)(0,⋅)−π∥TV=2/3 for every n≥0, including n=0, and the sequence of laws does not converge to π; it cycles through three distinct point masses.

3.1F5F6step 2.1given

Every state is positive recurrent with return time three: for the chain started at x, step 2.1 gives Xn(x)=(x+n) mod 3, so Xn(x)=x exactly when 3 divides n; by [F5] this says Tx+=3 identically, hence Px(Tx+<∞)=1 and ExTx+=3<+∞, and [F6] makes x positive recurrent.

3.2F7F8step 1.1step 2.2

The chain is not aperiodic: by step 1.1 the positive return set of [F7] is Rx={3,6,9,… }, whose greatest common divisor is 3, so d(x)=3 for every x; since the chain is irreducible by step 2.2 the periods agree, and [F8] gives per⁡(p)=3≠1, so p is not aperiodic.

4.1F10step 1.1step 2.3step 3.1algebra

Cesàro convergence: put C:=p(0)+p(1)+p(2). Step 1.1 gives C(x,y)=1 for all x,y, since exactly one of k=0,1,2 satisfies y≡x+k(mod3). Writing n=3m+r with 0≤r≤2 and Rr:=p(0)+⋯+p(r−1) (so R0=0, R1=I, R2=I+p), the periodicity in step 1.1 gives ∑k=0n−1p(k)=mC+Rr, hence 1n∑k=0n−1p(k)(x,y)=mnC(x,y)+Rr(x,y)n→13⋅1+0=13=π(y) because m/n→1/3 and Rr/n→0; for n divisible by 3 the average equals π exactly. The chain is irreducible and positive recurrent with invariant π by steps 2.2–2.4, so the general supplier [F10] gives the same limit, and the present computation verifies it directly.

5.1A1F9F10step 3.2step 4.1given∎

Boundary and scope cases: the value n=0 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 2/3=1−13=1−1d with period d=3, and for the deterministic two-cycle (d=2) the same formula gives 1/2, 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 Xn=n mod 3 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.

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