Appendix A, p. 966 — is Cesàro-summable to the fundamental matrix
ProvedJewellMRP.InfiniteStep.fundamental_matrix_cesarocesaro-meanfundamental-matrixmarkov-chainp2o-batch-p200bp2o-gran-per-chapterp2o-plan-paperp2o-v1
Let be an irreducible row-stochastic matrix on a nonempty finite state set, its stationary probability vector, the matrix all of whose rows equal , and . Put
Then the Cesàro means of converge to :
This identifies the fundamental matrix of Kemeny and Snell as the (Cesàro) sum of the deviations of the powers of from their limit, which is how enters the limiting bias.
Formalization Note The paper says the sequence "converges or is Cesàro-summable"; for periodic chains only the Cesàro limit exists, and that is what is stated. (empty sum).
Preamble
import Mathlib import Definitions.Def_JewellMRP_InfiniteStep_Model open Matrix Filter Topology
Formal statement
namespace JewellMRP.InfiniteStep
theorem fundamental_matrix_cesaro {S : Type*} [Fintype S] [DecidableEq S] [Nonempty S]
(P : Matrix S S ℝ) (hP : IsErgodic P) (π : S → ℝ) (hπ : IsStationary P π) :
Tendsto (cesaroMean (fun n : ℕ => 1 + ∑ j ∈ Finset.Ico 1 n, (P ^ j - limitMatrix π)))
atTop (𝓝 (fundamentalMatrix P π)) := by sorry
end JewellMRP.InfiniteStep
Source
Jewell, Markov-Renewal Programming. II: Infinite Return Models, Example, Oper. Res. 11 (1963), p. 966, Appendix A (before Eq. (A 4))
Human review
Confirmed by the mission captain (proposal self-audit).
Confirmed by the moderator at approval.