The fluctuations of an infinite system of unscaled branching Brownian motions in $R^d$ are shown to converge weakly under a spatial central limit normalization when the initial density of particles tends to infinity. The limit is a generalized Gaussian process $M$ which can be written as $M = M^I + M^{II}$, where $M^I$ is the fluctuation limit of a Poisson system of Brownian motions obtained by Martin-Lof, and $M^{II}$ arises from the spatial central limit normalization of the "demographic variation process" of the system. In the critical case $M^I$ and $M^{II}$ are independent and $M^{II}$ coincides with the generalized Ornstein-Uhlenbeck process found by Dawson and by Holley and Stroock as the renormalization limit of an infinite system of critical branching Brownian motions when $d \geq 3$. Generalized Langevin equations for $M, M^I$ and $M^{II}$ are given.
@article{1176993603,
author = {Gorostiza, Luis G.},
title = {High Density Limit Theorems for Infinite Systems of Unscaled Branching Brownian Motions},
journal = {Ann. Probab.},
volume = {11},
number = {4},
year = {1983},
pages = { 374-392},
language = {en},
url = {http://dml.mathdoc.fr/item/1176993603}
}
Gorostiza, Luis G. High Density Limit Theorems for Infinite Systems of Unscaled Branching Brownian Motions. Ann. Probab., Tome 11 (1983) no. 4, pp. 374-392. http://gdmltest.u-ga.fr/item/1176993603/