In this article, we will explore the impact of Multiple orthogonal polynomials on modern society. _Var1 has generated a wide debate in different areas, from politics to popular culture. Its influence has spread worldwide, generating conflicting opinions and awakening passions in different sectors of society. Throughout this analysis, we will examine the different aspects that make Multiple orthogonal polynomials so relevant in our current reality, as well as its possible evolution in the future. We will delve into its origins, its development and its role in people's daily lives. With interviews with experts, statistical data and concrete examples, this article aims to shed light on the impact of Multiple orthogonal polynomials on contemporary society.
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
Consider a multiindex 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
Ismail, Mourad E. H. (2005). Classical and Quantum Orthogonal Polynomials in One Variable. Cambridge University Press. pp. 607–647. ISBN9781107325982.
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
^ abIsmail, Mourad E. H. (2005). Classical and Quantum Orthogonal Polynomials in One Variable. Cambridge University Press. pp. 607–608. ISBN9781107325982.