Abstract
Recently subclasses of polynomial ensembles for additive and multiplicative matrix convolutions were identified which were called P\'olya ensembles (or polynomial ensembles of derivative type). Those ensembles are closed under the respective convolutions and, thus, build a semi-group when adding by hand a unit element. They even have a semi-group action on the polynomial ensembles. Moreover in several works transformations of the bi-orthogonal functions and kernels of a given polynomial ensemble were derived when performing an additive or multiplicative matrix convolution with particular P\'olya ensembles. For the multiplicative matrix convolution on the complex square matrices the transformations were even done for general P\'olya ensembles. In the present work we generalize these results to the additive convolution on Hermitian matrices, on Hermitian anti-symmetric matrices, on Hermitian anti-self-dual matrices and on rectangular complex matrices. For this purpose we derive the bi-orthogonal functions and the corresponding kernel for a general P\'olya ensemble which was not done before. With the help of these results we find transformation formulas for the convolution with a fixed matrix or a random matrix drawn from a general polynomial ensemble. As an example we consider P\'olya ensembles with an associated weight which is a P\'olya frequency function of infinite order. But we also explicitly evaluate the Gaussian unitary ensemble as well as the complex Laguerre (aka Wishart, Ginibre or chiral Gaussian unitary) ensemble. All results hold for finite matrix dimension. Furthermore we derive a recursive relation between Toeplitz determinants which appears as a by-product of our results.
Full Text
Topics from this Paper
Additive Convolutions
Polynomial Ensembles
Additive Convolution
Gaussian Unitary Ensemble
Bi-orthogonal Functions
+ Show 5 more
Create a personalized feed of these topics
Get StartedTalk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Similar Papers
Random Matrices: Theory and Applications
Nov 8, 2019
Oct 1, 2020
International Mathematics Research Notices
Jul 10, 2017
Journal of Approximation Theory
Apr 1, 2022
arXiv: Mathematical Physics
Mar 18, 2020
Annales Henri Poincar\xe9
Oct 14, 2020
Duke Mathematical Journal
Jan 1, 2021
Nonlinearity
Sep 14, 2016
Probability Theory and Related Fields
Feb 18, 2022
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
Feb 1, 2019
Random Matrices: Theory and Applications
Dec 17, 2020
arXiv: Probability
Oct 24, 2017
Annales de l'Institut Henri Poincaré, Probabilités et Statistiques
Aug 1, 2010
Advances in Mathematics
May 1, 2011
arXiv: Probability
arXiv: Probability
Mar 22, 2021
arXiv: Probability
Mar 19, 2021
arXiv: Probability
Feb 27, 2021
arXiv: Probability
Jan 27, 2021
arXiv: Probability
Jan 1, 2021
arXiv: Probability
Dec 15, 2020
arXiv: Probability
Dec 2, 2020
arXiv: Probability
Nov 27, 2020