Badly approximable matrix functions and canonical factorizations

Mathematics – Functional Analysis

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

36 pages

Scientific paper

We continue studying the problem of analytic approximation of matrix functions. We introduce the notion of a partial canonical factorization of a badly approximable matrix function $\Phi$ and the notion of a canonical factorization of a very badly approximable matrix function $\Phi$. Such factorizations are defined in terms of so-called balanced unitary-valued functions which have many remarkable properties. Unlike the case of thematic factorizations studied earlier in [PY1], [PY2], [PT], [AP1], the factors in canonical factorizations (as well as partial canonical factorizations) are uniquely determined by the matrix function $\Phi$ up to constant unitary factors. We study many properties of canonical factorizations. In particular we show that under certain natural assumptions on a function space $X$ the condition $\Phi\in X$ implies that all factors in a canonical factorization of $\Phi$ belong to the same space $X$. In the last section we characterize the very badly approximable unitary-valued functions $U$ that satisfy the condition $\|H_U\|_{\text e}<1$.

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

Badly approximable matrix functions and canonical factorizations 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 Badly approximable matrix functions and canonical factorizations, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Badly approximable matrix functions and canonical factorizations will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-278294

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