Functional limit theorems for sums of independent geometric Lévy processes
arXiv:0911.4139 · doi:10.3150/10-BEJ299
Abstract
Let , , be independent copies of a Lévy process . Motivated by the results obtained previously in the context of the random energy model, we prove functional limit theorems for the process \[Z_N(t)=\sum_{i=1}^N\mathrm{e}^{ξ_i(s_N+t)}\] as , where is a non-negative sequence converging to . The limiting process depends heavily on the growth rate of the sequence . If grows slowly in the sense that for some critical value , then the limit is an Ornstein--Uhlenbeck process. However, if , then the limit is a certain completely asymmetric -stable process .
Published in at http://dx.doi.org/10.3150/10-BEJ299 the Bernoulli (http://isi.cbs.nl/bernoulli/) by the International Statistical Institute/Bernoulli Society (http://isi.cbs.nl/BS/bshome.htm)
References in corpus (3)
Cited by in corpus (6)
- An exceptional max-stable process fully parameterized by its extremal coefficients
- Complex Random Energy Model: Zeros and Fluctuations
- Functional limit theorems for sums of independent geometric Lévy processes
- Generalized Random Energy Model at Complex Temperatures
- Limit laws for sums of independent random products: the lattice case
- Max-stable processes and stationary systems of Lévy particles