Every has the same exponential distribution, so for . Part (ii) gives . Applying Slutsky's theorem to yields
The limiting probability distribution does not depend on . This is precisely the attraction to the exponential invariant law of a random affine recursion.
Figure 1.
Common random inputs make different initial values approach the same stationary trajectory
. Original simulations of the affine recursion with shared inputs. The right panel compares an exactly propagated path difference with its unconditional expected value; the geometric expectation estimate, rather than the simulation, proves convergence. Details.

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