Learn More
We consider the problem of giving explicit spectral bounds for time inhomogeneous Markov chains on a finite state space. We give bounds that apply when there exists a probability π such that each of the different steps corresponds to a nice ergodic Markov kernel with stationary measure π. For instance, our results provide sharp bounds for models such as(More)
Dietary supplementation with the n-3 polyunsaturated fatty acids (n-3 PUFA) eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) to rats preconditions the liver against ischemia-reperfusion (IR) injury, with reduction of the enhanced nuclear factor-κB (NF-κB) functionality occurring in the early phase of IR injury, and recovery of IR-induced(More)
We discussed problems posed by the quantitative study of time inhomoge-neous Markov chains. The two main notions for our purpose are merging and stability. Merging (also called weak ergodicity) occurs when the chain asymptotically forget where it started. It is a loss of memory property. Stability relates to the question of whether or not, despite temporal(More)
  • 1