In the present paper we study a special kind of stochastic processes. The usefulness of the result is illustrated by their applications to the straightforward convergence analysis of several schemes. We consider a filtrated probability space   and an adapted stochastic process   from   Further let   be a stochastic matrix which is adapted to the filtration  . The process   satisfies the following condition A special case of these processes is a classical submartingale