Abstract.
Let be a fixed probability measure.
For each dimension
, let
be
i.i.d.
-valued radial random variables with
radial distribution
. We derive two central limit theorems (CLTs) for
for
with normal limits. The first CLT for
follows from
known estimates of convergence in the CLT on
,
while the second CLT for
will be a consequence of asymptotic properties of Bessel convolutions.
Both limit theorems are considered also for
-invariant random walks on the space of
matrices instead of
for
and fixed dimension
.



















matrices
for 
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