Block Krylov subspaces correspond isometrically to matrix polynomial spaces, allowing transfer of Szegő recurrences and CMV frameworks to orthogonalize polynomial and extended block Krylov bases for unitary matrices.
Title resolution pending
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
verdicts
UNVERDICTED 2representative citing papers
Representations of su(2), su(1,1), and so_q(3) at roots of unity produce matrix analogs of Krawtchouk, Meixner, and discrete Chebyshev polynomials.
citing papers explorer
-
Block Krylov subspaces and orthogonal matrix polynomials: a structural correspondence with applications to unitary matrices
Block Krylov subspaces correspond isometrically to matrix polynomial spaces, allowing transfer of Szegő recurrences and CMV frameworks to orthogonalize polynomial and extended block Krylov bases for unitary matrices.
-
Algebraic interpretation of discrete families of matrix valued orthogonal polynomials
Representations of su(2), su(1,1), and so_q(3) at roots of unity produce matrix analogs of Krawtchouk, Meixner, and discrete Chebyshev polynomials.