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引用次数: 0

摘要

首先证明了不可约马尔可夫链的无穷小发生器的任何广义逆都可以用来计算该链的精确平稳分布和所有期望的首次通过时间。在单服务器队列的特殊情况下,这允许使用上三角矩阵完成所有计算。其次,证明了无穷小发生器的扰动对平稳分布和期望首次通过时间的影响也可以用广义逆来计算。这些结果扩展和推广了Schweitzer[9]使用基本矩阵的原始工作。然后证明,任何扰动都可以被分解成一系列的扰动,每个扰动都涉及一个单一的状态。双稳态队列;首次通过时间
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Applications of generalized inverses
First it is shown that any generalized inverse of the infinitesimal generator of an irreducible Markov chain can be used to compute the exact stationary distribution and all the expected first-passage times of the chain. In the special case of a single-server queue this allows all computations to be done with upper-triangular matrices. Next it is shown that the effect of a perturbation of the infinitesimal generator on the stationary distribution and expected first-passage times can also be computed using generalized inverses. These results extend and generalize Schweitzer's [9] original work using fundamental matrices. It is then shown that any perturbation can be broken up into a series of perturbations each involving a single state. BISTABLE QUEUES; FIRST-PASSAGE TIMES
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Basic notions from matrix theory, optimization and theory of generalized inverses Direct methods for computing generalized inverses Applications of generalized inverses Symbolic computation of generalized inverses FRONT MATTER
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