2015
DOI: 10.1007/s00440-015-0615-y
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The fixed points of the multivariate smoothing transform

Abstract: A. Let be given a sequence (T 1 , T 2 , . . . ) of random d × d matrices with nonnegative entries and a random vector Q with nonnegative entries. Consider random vectors X with nonnegative entries, satisfyingwhere L = denotes equality of the corresponding laws, (X i ) i≥1 are i.i.d. copies of X and independent of (Q, T 1 , T 2 , . . . ).For d = 1, this equation, known as fixed point equation of the smoothing transform, has been intensively studied. Under assumptions similar to the one-dimensional case, we obta… Show more

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Cited by 16 publications
(19 citation statements)
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“…This shows in particular, that D(u 0 , t) is slowly varying as t → ∞. We then use the results of [27] to deduce that this already implies that D(u, t) is slowly varying for all u ∈ S ≥ . Lemma 4.1.…”
Section: Regular Variation Of Fixed Pointsmentioning
confidence: 71%
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“…This shows in particular, that D(u 0 , t) is slowly varying as t → ∞. We then use the results of [27] to deduce that this already implies that D(u, t) is slowly varying for all u ∈ S ≥ . Lemma 4.1.…”
Section: Regular Variation Of Fixed Pointsmentioning
confidence: 71%
“…Moreover, if ψ(r) = E e −rX is the Laplace transform of a fixed point, then there is a positive function L, slowly varying at 0, and K > 0 such that Existence and uniqueness results in the multivariate setting d ≥ 2 for the non-critical case have been recently proved in [27]. The aim of this note is to provide the corresponding result for the multivariate critical case.…”
Section: Introductionmentioning
confidence: 99%
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“…The classification of their multiple solutions, calculation of their moments, and description of their asymptotic behavior, have been extensively studied in the literature, and are related to the broader study of weighted branching processes (WBPs) [60][61][62]. For the smoothing transform in particular, we mention the work in [1,2,4,5,24,32,39,[43][44][45]72] for the univariate case, and [8,23,41,51,52] for multivariate generalizations. The non-branching linear SFPE, i.e., N ≡ 1 in (1.4), is known as the random difference equation, and its analysis is even older, with some of the classical results being those found in [20,36,48].…”
Section: Stochastic Fixed-point Equations (Sfpes)mentioning
confidence: 99%
“…have positive entries only and attention is restricted to solutions X on [0, ∞) d [64]. Yet, these results either cannot be applied to the complex case [64] or cover only a very special situation [14]. We will solve (1.1) in a multivariate setup that comfortably covers the complex case and thereby address open questions in papers by Barral [10,Remark 4] (posed for C = 0 and T 1 , T 2 , .…”
Section: Smoothing Equationsmentioning
confidence: 99%