Source: Adv. in Appl. Probab. Volume 35, Number 4
(2003), 961-981.
We consider the stochastic sequence
{Yt}t∈N
defined recursively by the linear relation
Yt+1=AtYt+Bt
in a random environment. The environment is described by the
stochastic process
{(At,Bt)}t∈N
and is under the simultaneous control of several agents playing a
discounted stochastic game. We formulate sufficient conditions on
the game which ensure the existence of Nash equilibria in Markov
strategies which have the additional property that, in
equilibrium, the process
{Yt}t∈N
converges in distribution to a stationary regime.
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