| Article ID: | iaor20173592 |
| Volume: | 78 |
| Issue: | 8 |
| Start Page Number: | 1438 |
| End Page Number: | 1448 |
| Publication Date: | Aug 2017 |
| Journal: | Automation and Remote Control |
| Authors: | Konakov V, Markova A |
| Keywords: | markov processes, stochastic processes, programming: nonlinear |
We consider a diffusion process and its approximation with a Markov chain whose trends contain a nonlinear unbounded component. The usual parametrix method is inapplicable here since the trend is unbounded. We present a procedure that lets us exclude a nonlinear growing trend and pass to a stochastic differential equation with bounded drift and diffusion coefficients. A similar procedure is also considered for a Markov chain.