Uniform Stability of Markov Chains
- 1 October 1994
- journal article
- Published by Society for Industrial & Applied Mathematics (SIAM) in SIAM Journal on Matrix Analysis and Applications
- Vol. 15 (4) , 1061-1074
- https://doi.org/10.1137/s0895479892237562
Abstract
By deriving a new set of tight perturbation bounds, it is shown that all stationary probabilities of a finite irreducible Markov chain react essentially in the same way to perturbations in the transition probabilities. In particular, if at least one stationary probability is insensitive in a relative sense, then all stationary probabilities must be insensitive in an absolute sense. New measures of sensitivity are related to more traditional ones, and it is shown that all relevant condition numbers for the Markov chain problem are small multiples of each other. Finally, the implications of these findings to the computation of stationary probabilities by direct methods are discussed, and the results are applied to stability issues in nearly transient chains.Keywords
This publication has 16 references indexed in Scilit:
- Sensitivity of the Stationary Distribution of a Markov ChainSIAM Journal on Matrix Analysis and Applications, 1994
- Error Analysis of Update Methods for the Symmetric Eigenvalue ProblemSIAM Journal on Matrix Analysis and Applications, 1993
- On the Smallest Positive Singular Value of a Singular M-Matrix with Applications to Ergodic Markov ChainsSIAM Journal on Algebraic Discrete Methods, 1986
- Using the QR Factorization and Group Inversion to Compute, Differentiate, and Estimate the Sensitivity of Stationary Probabilities for Markov ChainsSIAM Journal on Algebraic Discrete Methods, 1986
- Sensitivity of the stationary distribution vector for an ergodic Markov chainLinear Algebra and its Applications, 1986
- Regenerative Analysis and Steady State Distributions for Markov ChainsOperations Research, 1985
- Comparison of Some Direct Methods for Computing Stationary Distributions of Markov ChainsSIAM Journal on Scientific and Statistical Computing, 1984
- Solution of Homogeneous Systems of Linear Equations Arising from Compartmental ModelsSIAM Journal on Scientific and Statistical Computing, 1981
- The Condition of a Finite Markov Chain and Perturbation Bounds for the Limiting ProbabilitiesSIAM Journal on Algebraic Discrete Methods, 1980
- The Role of the Group Generalized Inverse in the Theory of Finite Markov ChainsSIAM Review, 1975