Fixed points with finite variance of a smoothing transformation
Let T=(T1,T2,T3,...) be a sequence of real random variables. We investigate the following fixed point equation for distributions [mu]: W[congruent with][summation operator]j=1[infinity] TjWj, where W,W1,W2,... have distribution [mu] and T,W1,W2,... are independent. The corresponding functional equation is [phi](t)=E [product operator]j=1[infinity] [phi](tTj), where [phi] is a characteristic function. We consider solutions of the fixed point equation with finite variance. Results about existence and uniqueness are derived. In the situation of solutions with zero expectation we give a representation of the characteristic functions of solutions and treat the question of moments and -Lebesgue densities. The article extends results on the case of non-negative T and non-negative solutions.
Year of publication: |
2003
|
---|---|
Authors: | Caliebe, Amke ; Rösler, Uwe |
Published in: |
Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 107.2003, 1, p. 105-129
|
Publisher: |
Elsevier |
Keywords: | Distributional fixed point equations Functional equations Branching random walks Weighted branching processes Infinite particle systems Convergence of triangular schemes Infinitely divisible distributions Contraction method Martingales Moments Lebesgue density |
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