Additive Matrix Convolutions of P\'olya Ensembles and Polynomial Ensembles
Mario Kieburg

TL;DR
This paper extends the theory of Pólya ensembles to additive convolutions on various matrix types, deriving bi-orthogonal functions, kernels, and transformation formulas, with applications to classical ensembles like Gaussian and Laguerre.
Contribution
It generalizes the transformation formulas and bi-orthogonal functions for Pólya ensembles under additive convolution on multiple matrix classes, previously known only for multiplicative cases.
Findings
Derived bi-orthogonal functions and kernels for general Pólya ensembles.
Established transformation formulas for convolutions with fixed or random matrices.
Explicitly evaluated Gaussian and Laguerre ensembles within this framework.
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…
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Taxonomy
TopicsMatrix Theory and Algorithms · Random Matrices and Applications · Photonic Crystals and Applications
