Multiple orthogonal polynomials explained
In mathematics, the multiple orthogonal polynomials (MOPs) are orthogonal polynomials in one variable that are orthogonal with respect to a finite family of measures. The polynomials are divided into two classes named type 1 and type 2.[1]
In the literature, MOPs are also called
-orthogonal polynomials
, Hermite-Padé polynomials
or polyorthogonal polynomials
. MOPs should not be confused with multivariate orthogonal polynomials.Multiple orthogonal polynomials
and
positive measures
over the reals. As usual
.
MOP of type 1
Polynomials
for
are of
type 1 if the
-th polynomial
has at most degree
such that
,j}d\muj(x)=0, k=0,1,2,...,|\vec{n}|-2,
and
x|\vec{n|-1}A\vec{n,j}d\muj(x)=1.
[2] Explanation
This defines a system of
equations for the
coefficients of the polynomials
A\vec{n,1},A\vec{n,2},...,A\vec{n,r}
.
MOP of type 2
A monic polynomial
}(x) is of
type 2 if it has degree
such that
}(x)x^k d\mu_j(x)=0,\qquad k=0,1,2,\dots,n_j-1,\qquad j=1,\dots,r.
Explanation
If we write
out, we get the following definition
}(x)x^k d\mu_1(x)=0,\qquad k=0,1,2,\dots,n_1-1
}(x)x^k d\mu_2(x)=0,\qquad k=0,1,2,\dots,n_2-1
}(x)x^k d\mu_r(x)=0,\qquad k=0,1,2,\dots,n_r-1
Literature
- Book: Classical and Quantum Orthogonal Polynomials in One Variable. Mourad E. H.. Ismail. Cambridge University Press. 2005. 9781107325982. 607-647.
- López-Lagomasino, G. (2021). An Introduction to Multiple Orthogonal Polynomials and Hermite-Padé Approximation. In: Marcellán, F., Huertas, E.J. (eds) Orthogonal Polynomials: Current Trends and Applications. SEMA SIMAI Springer Series, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-56190-1_9
References
- López-Lagomasino, G. (2021). An Introduction to Multiple Orthogonal Polynomials and Hermite-Padé Approximation. In: Marcellán, F., Huertas, E.J. (eds) Orthogonal Polynomials: Current Trends and Applications. SEMA SIMAI Springer Series, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-56190-1_9
- Book: Classical and Quantum Orthogonal Polynomials in One Variable. Mourad E. H.. Ismail. Cambridge University Press. 2005. 9781107325982. 607-608.