, Moreover, the system (1.3) is ergodic and its transition probility P((x, y), t, .) satisfies P((x 0 , y 0 ), t, ?) ? µ(?) when t ? ? for each
, The ecologically less interesting case when (x, y) stays in one of the coordinate axes has similar features, since, by [21, Theorem 3.2], the stochastic logistic equation admits a unique invariant ergodic distribution when the diffusion coefficient is positive but not too large
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