On Asymptotically-Continuous Stochastic Processes

An asymptotically continuous probability process is a single-parameter family of Markov processes, which obey Kolmogorov’s equation with a certain correction. This correction can be made infinitely small as the parameter of the family tends to zero. The process may not exist for a zero value of the parameter. Concrete examples of such processes are developed.