Small Deviations of Gaussian Random Fields in $L_q$--Spaces

Mathematics – Probability

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We investigate small deviation properties of Gaussian random fields in the space $L_q(\R^N,\mu)$ where $\mu$ is an arbitrary finite compactly supported Borel measure. Of special interest are hereby "thin" measures $\mu$, i.e., those which are singular with respect to the $N$--dimensional Lebesgue measure; the so--called self--similar measures providing a class of typical examples. For a large class of random fields (including, among others, fractional Brownian motions), we describe the behavior of small deviation probabilities via numerical characteristics of $\mu$, called mixed entropy, characterizing size and regularity of $\mu$. For the particularly interesting case of self--similar measures $\mu$, the asymptotic behavior of the mixed entropy is evaluated explicitly. As a consequence, we get the asymptotic of the small deviation for $N$--parameter fractional Brownian motions with respect to $L_q(\R^N,\mu)$--norms. While the upper estimates for the small deviation probabilities are proved by purely probabilistic methods, the lower bounds are established by analytic tools concerning Kolmogorov and entropy numbers of H\"older operators.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Small Deviations of Gaussian Random Fields in $L_q$--Spaces does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Small Deviations of Gaussian Random Fields in $L_q$--Spaces, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Small Deviations of Gaussian Random Fields in $L_q$--Spaces will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-275970

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.