Digraph-based conditioning for Markov chains
โ Scribed by S. Kirkland
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 217 KB
- Volume
- 385
- Category
- Article
- ISSN
- 0024-3795
No coin nor oath required. For personal study only.
โฆ Synopsis
For an irreducible stochastic matrix T , we consider a certain condition number c(T ), which measures the stability of the corresponding stationary distribution when T is perturbed. We characterize the strongly connected directed graphs D such that c(T ) is bounded as T ranges over S D , the set of stochastic matrices whose directed graph is contained in D. For those digraphs D for which c(T ) is bounded, we find the maximum value of c(T ) as T ranges over S D .
๐ SIMILAR VOLUMES
Let P be the transition matrix for an n-state, homogeneous, ergodic Markov chain. Set Q = I -P and let Q # = [q # i,j ] be the group (generalized) inverse of Q. A well-known condition number, due to Funderlic and Meyer, which is used in the error analysis for the computation of the stationary distri
Bounds are given for an irreducible Markov chain on the probability that the time average of a functional on the state space exceeds its stationary expectation, without assuming reversibility. The bounds are in terms of the singular values of the discrete generator. แฎ 1998 Academic Press The probab