Abstract
In this article we show that, given a Haar-type wavelet series { fj
} in with respect to a dilation matrix A and tile Q, we can construct another Haar-type wavelet series
in ℝ and tile
in such a way that the stochastic processes defined by { fj
} and
on the probability spaces
and
, respectively, have the same finite-dimensional distributions. Thus, many properties of { fj
} can be deduced from
. This is a technique that, to our knowledge, has not been used in the literature. We show the power of this method by extending some known results for Haar series in ℝ to Haar-type wavelet series in
with respect to a dilation matrix A, using simple proofs.
Acknowledgements
The authors would like to thank Richard F. Gundy for reading the manuscript and for his valuable comments and suggestions.