شماره ركورد كنفرانس :
1339
عنوان مقاله :
Helmert Matrix and its Consequences in Stochastic Processes
عنوان به زبان ديگر :
Helmert Matrix and its Consequences in Stochastic Processes
پديدآورندگان :
Farhadian Reza نويسنده
كليدواژه :
Markov chain , Stochastic matrix , Transition probability , Helmert matrix
عنوان كنفرانس :
اولين همايش ملي رياضي و آمار
چكيده فارسي :
In this article, we want to show that the Helmert matrix has strong relationship with stochastic matrixes in modern probability theory. In fact, we want to show that we can build a stochastic matrix by Helmert matrix. Initial, we want to prove that if
be the Helmert matrix of order n, then
is a stochastic matrix and afterward we prove that the Markov chain by this stochastic matrix is regular and ergodic
شماره مدرك كنفرانس :
4422467