Dunkl shift operators and Bannai-Ito polynomials

Mathematics – Classical Analysis and ODEs

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

35 pages, to be published in Adv.Math

Scientific paper

We consider the most general Dunkl shift operator $L$ with the following properties: (i) $L$ is of first order in the shift operator and involves reflections; (ii) $L$ preserves the space of polynomials of a given degree; (iii) $L$ is potentially self-adjoint. We show that under these conditions, the operator $L$ has eigenfunctions which coincide with the Bannai-Ito polynomials. We construct a polynomial basis which is lower-triangular and two-diagonal with respect to the action of the operator $L$. This allows to express the BI polynomials explicitly. We also present an anti-commutator AW(3) algebra corresponding to this operator. From the representations of this algebra, we derive the structure and recurrence relations of the BI polynomials. We introduce new orthogonal polynomials - referred to as the complementary BI polynomials - as an alternative $q \to -1$ limit of the Askey-Wilson polynomials. These complementary BI polynomials lead to a new explicit expression for the BI polynomials in terms of the ordinary Wilson polynomials.

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

Dunkl shift operators and Bannai-Ito polynomials 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 Dunkl shift operators and Bannai-Ito polynomials, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Dunkl shift operators and Bannai-Ito polynomials will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-696315

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