PERTURBATION AND STABILITY BOUNDS FOR ERGODIC GENERAL STATE MARKOV CHAINS WITH RESPECT TO VARIOUS NORMS

被引:1
作者
Mouhoubi, Z. [1 ]
机构
[1] Edouard Montpetit Coll, Dept Math, 945 Chemin Chambly, Longueuil, PQ J4H 3M6, Canada
来源
MATEMATICHE | 2021年 / 76卷 / 01期
关键词
Perturbation bound; stability bound; norm ergodicity coefficient; residual kernel; transition distribution; stationary distribution; STATIONARY DISTRIBUTION; SERIES EXPANSIONS; CONDITION NUMBERS; SENSITIVITY; DISTRIBUTIONS; PROBABILITIES; COEFFICIENTS; TIMES;
D O I
10.4418/2021.76.1.13
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper provides new perturbation bounds for general state Markov chains with respect to various norms. The transition and stationary characteristics estimates are given in terms of the generalized norm ergodicity coefficient, the norm of a residual kernel, or the parameters given in some drift condition. In fact, those results improve and generalize, for general state-space with respect to various norms and for a more large amplitude of perturbation of the transition kernel, the bounds obtained in [1, 32, 40]. Furthermore, we improve some other inequalities established in [22, 39, 41]. Theoretical comparison and on the basis of some examples show the quality of the results obtained in this paper.
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页码:243 / 276
页数:34
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