The fixed points of the multivariate smoothing transform
成果类型:
Article
署名作者:
Mentemeier, Sebastian
署名单位:
University of Wroclaw
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051
DOI:
10.1007/s00440-015-0615-y
发表日期:
2016
页码:
401-458
关键词:
general branching-processes
renewal theory
functional-equation
martingale convergence
random environment
limit-theorem
variance
trees
摘要:
Let (T-1, T-2, . . .) be a sequence of random d x d matrices with nonnegative entries, and let Q be a random vector with nonnegative entries. Consider random vectors X with nonnegative entries, satisfying X =(L) Sigma(i >= 1) TiXi + Q, (*) where =(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 obtain a complete characterization of all solutions X to (*) in the non-critical case, and existence results in the critical case.