# Random difference equations with Markov-dependent coefficients

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For a class of stationary Markov-dependent sequences

(A_n,B_n)

in R^2, we consider the random linear recursion S_n=A_n+B_n

S_{n-1}, n \in \zz, and show that the distribution tail of its

stationary solution has a power law decay.