Markov Chains and Stochastic Stability by Sean Meyn & Richard Tweedie

Markov Chains and Stochastic Stability by Sean Meyn & Richard Tweedie

Author:Sean Meyn & Richard Tweedie [Meyn, Sean & Tweedie, Richard]
Language: eng
Format: epub
Published: 2011-02-19T05:00:00+00:00


=

aiEx f (Φk+i)1l(k < τB) i=0 k=0

τB−1

=

aiEx f (Φk+i) .

i=0

k=0

We now have a relatively simple task in proving Theorem 11.3.11 Suppose that Φ is ψ-irreducible.

(i) If (V2) holds for a function V and a petite set C then for any B ∈ B+(X) there exists c(B) < ∞ such that

Ex[τB] ≤ V (x) + c(B),

x ∈ X.

Hence if V is bounded on A, then A is regular.

(ii) If there exists one regular set C ∈ B+(X), then C is petite and the function V = VC satisfies (V2), with V uniformly bounded on A for any regular set A.

Proof

To prove (i), suppose that (V2) holds, with V bounded on A and C

a ψa-petite set. Without loss of generality, from Proposition 5.5.6 we can assume

i=0 i ai < ∞. We also use the simple but critical bound from the definition of petiteness:

1lC(x) ≤ ψa(B)−1Ka(x, B),

x ∈ X, B ∈ B+(X).

(11.27)

By Lemma 11.3.9 and the bound (11.27) we then have τB−1

Ex[τB] ≤ V (x) + bEx

1lC(Φk)

k=0

τB−1

≤ V (x) + bEx

ψa(B)−1Ka(Φk, B)

k=0

τB−1

= V (x) + bψa(B)−1

aiEx

1lB(Φk+i)

i=0

k=0

≤ V (x) + bψa(B)−1

(i + 1)ai

i=0

for any B ∈ B+(X), and all x ∈ X. If V is bounded on A, it follows that sup Ex[τB] < ∞,

x∈A

which shows that A is regular.



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