A decomposition result for the Haar distribution on the orthogonal group

Mathematics – Statistics Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

19 pages

Scientific paper

Let H be a Haar distributed random matrix on the group of pxp real orthogonal matrices. Partition H into four blocks: (1) the (1,1) element, (2)the rest of the first row, (3) the rest of the first column, and (4)the remaining (p-1)x(p-1) matrix. The marginal distribution of (1) is well known. In this paper, we give the conditional distribution of (2) and (3) given (1), and the conditional distribution of (4) given (1), (2), (3). This conditional specification uniquely determines the Haar distribution. The two conditional distributions involve well known probability distributions namely, the uniform distribution on the unit sphere in p-1 dimensional space and the Haar distribution on (p-2)x(p-2) orthogonal matrices. Our results show how to construct the Haar distribution on pxp orthogonal matrices from the Haar distribution on (p-2)x(p-2) orthogonal matrices coupled with the uniform distribution on the unit sphere in p-1 dimensions.

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

A decomposition result for the Haar distribution on the orthogonal group 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 A decomposition result for the Haar distribution on the orthogonal group, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A decomposition result for the Haar distribution on the orthogonal group will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-661003

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