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Given a strongly stationary Markov chain (discrete or continuous) and a finite set of stopping rules, we show a noncombinatorial method to compute the law of stopping. Several examples are presented. The problem of embedding a graph into a larger but minimal graph under some constraints is studied. Given a connected graph, we show a noncombinatorial manner to compute the law of a first given path among a set of stopping paths.We prove the existence of a minimal Markov chain without oversized information....
On s’intéresse à une marche aléatoire simple sur un amas infini issu d’un processus de percolation surcritique sur les arêtes de de loi . On montre que la transformée de Laplace du nombre de points visités au temps , noté , a un comportement similaire au cas où la marche évolue dans . Plus précisément, on établit que pour tout , il existe des constantes , telles que pour presque toute réalisation de la percolation telle que l’origine appartienne à l’amas infini et pour assez grand,Le...
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