2010
DOI: 10.1088/0266-5611/26/5/055009
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The multicomponent 2D Toda hierarchy: generalized matrix orthogonal polynomials, multiple orthogonal polynomials and Riemann–Hilbert problems

Abstract: We consider the relation of the multi-component 2D Toda hierarchy with matrix orthogonal and biorthogonal polynomials. The multi-graded Hänkel reduction of this hierarchy is considered and the corresponding generalized matrix orthogonal polynomials are studied. In particular for these polynomials we consider the recursion relations, and for rank one weights its relation with multiple orthogonal polynomials of mixed type with a type II normalization and the corresponding link with a Riemann-Hilbert problem.

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Cited by 33 publications
(47 citation statements)
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“…In [9] we studied the generalized orthogonal polynomials [1] and its matrix extensions from the Gauss-Borel view point. In [10] we gave a complete study in terms of factorization for multiple orthogonal polynomials of mixed type and characterized the integrable systems associated to them.…”
Section: 2mentioning
confidence: 99%
“…In [9] we studied the generalized orthogonal polynomials [1] and its matrix extensions from the Gauss-Borel view point. In [10] we gave a complete study in terms of factorization for multiple orthogonal polynomials of mixed type and characterized the integrable systems associated to them.…”
Section: 2mentioning
confidence: 99%
“…In the Madrid group, based on the Gauss-Borel factorization, we have been searching further the deep links between the Theory of Orthogonal Polynomials and the Theory of Integrable Systems. In [8] we studied the generalized orthogonal polynomials [1] and its matrix extensions from the Gauss-Borel view point. In [9] we gave a complete study in terms of factorization for multiple orthogonal polynomials of mixed type and characterized the integrable systems associated to them.…”
Section: Introductionmentioning
confidence: 99%
“…. (45) Observe that the Pearson equation (40) is a first-order system of Ordinary Differential Equation (ODE) for the matrix of weights ( ).…”
Section: Pearson Equations For the Matrix Of Weights And The Structurmentioning
confidence: 99%