Abstract. A difference diffusion model with two equilibrium states is given by a stochastic equation with two components: a predictable one, defined by increments regression function with two equilibrium states and a stochastic one, which is a martingale difference. Zone classification based on the asymptotic properties of the trajectories of statistical experiments is proposed. The asymptotic behavior of statistical experiments defined by sums of N sample values for N → ∞ is analyzed.

Keywords: discrete Markov diffusion, evolutionary process, classification of equilibrium states, stochastic approximation.