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Related papers: Recovering orthogonality from Quasi-type Kernel Po…

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In this contribution, quasi-orthogonality of polynomials generated by Geronimus and Uvarov transformations is analyzed. An attempt is made to discuss the recovery of the source orthogonal polynomial from the quasi-Geronimus and quasi-Uvarov…

Classical Analysis and ODEs · Mathematics 2024-05-20 Vikash Kumar , Francisco Marcellán , A. Swaminathan

In this paper, we will discuss the notion of almost orthogonality in a functional sequence.Especially, we will define a few sequences of almost orthogonal polynomials which can be used successfully for modeling of electronic systems which…

Numerical Analysis · Mathematics 2010-07-22 Predrag Rajkovic , Sladjana Marinkovic

For a bilinear form obtained by adding a Dirac mass to a positive definite moment functional in several variables, explicit formulas of orthogonal polynomials are derived from the orthogonal polynomials associated with the moment…

Classical Analysis and ODEs · Mathematics 2008-01-03 Lidia Fernandez , Teresa E. Perez , Miguel A. Pinar , Yuan Xu

We study mapping properties of operators with kernels defined via a combination of continuous and discrete orthogonal polynomials, which provide an abstract formulation of quantum (q-) Fourier type systems. We prove Ismail conjecture…

Classical Analysis and ODEs · Mathematics 2007-05-23 Luis Daniel Abreu

A result of P\'olya states that every sequence of quadrature formulas $Q_n(f)$ with $n$ nodes and positive numbers converges to the integral $I(f)$ of a continuous function $f$ provided $Q_n(f)=I(f)$ for a space of algebraic polynomials of…

Classical Analysis and ODEs · Mathematics 2019-01-07 Cleonice F. Bracciali , Francisco Marcellán , Serhan Varma

The aim of this paper is to study some models of quasi-birth-and-death (QBD) processes arising from the theory of bivariate orthogonal polynomials. First we will see how to perform the spectral analysis in the general setting as well as to…

Probability · Mathematics 2020-02-13 Lidia Fernández , Manuel D. de la Iglesia

We show how to obtain linear combinations of polynomials in an orthogonal sequence $\{P_n\}_{n\geq 0}$, such as $Q_{n,k}(x)=\sum\limits_{i=0}^k a_{n,i}P_{n-i}(x)$, $a_{n,0}a_{n,k}\neq0$, that characterize quasi-orthogonal polynomials of…

Classical Analysis and ODEs · Mathematics 2018-05-24 Daniel D. Tcheutia , Alta S. Jooste , Wolfram Koepf

The tridiagonal representation approach is an algebraic method for solving second order differential wave equations. Using this approach in the solution of quantum mechanical problems, we encounter two new classes of orthogonal polynomials…

Mathematical Physics · Physics 2018-02-14 A. D. Alhaidari

In this paper we continue to investigate a certain class of Hankel-like positive definite kernels using their associated orthogonal polynomials. The main result of this paper is about the structure of this kind of kernels.

Functional Analysis · Mathematics 2007-05-23 T. Banks , T. Constantinescu

Let $\{P_n \}_{n\ge0}$ be a sequence of monic orthogonal polynomials with respect to a quasi--definite linear functional $u$ and $\{Q_n \}_{n\ge0}$ a sequence of polynomials defined by $$Q_n(x)=P_n(x)+s_n P_{n-1}(x)+t_n P_{n-2}(x),\quad…

Classical Analysis and ODEs · Mathematics 2009-09-04 M. Alfaro , F. Marcellan , A. Pena , M. L. Rezola

A semilinear parabolic problem of second order with an unknown time-convolution kernel is considered. The missing kernel is recovered from an additional integral measurement. The existence, uniqueness and regularity of a weak solution is…

Analysis of PDEs · Mathematics 2014-06-19 R. H. De Staelen , M. Slodička

The double-direction orthogonalization algorithm is applied to construct sequences of polynomials, which are orthogonal over the interval [0,1]with the weighting function 1. Functional and recurrent relations are derived for the sequences…

Numerical Analysis · Mathematics 2025-10-20 Vladimir Chelyshkov

In the framework of computational complexity and in an effort to define a more natural reduction for problems of equivalence, we investigate the recently introduced kernel reduction, a reduction that operates on each element of a pair…

Computational Complexity · Computer Science 2016-04-29 Jeffrey Finkelstein , Benjamin Hescott

This work is concerned with the kernel-based approximation of a complex-valued function from data, where the frequency response function of a partial differential equation in the frequency domain is of particular interest. In this setting,…

Computational Engineering, Finance, and Science · Computer Science 2024-11-26 Julien Bect , Niklas Georg , Ulrich Römer , Sebastian Schöps

Low-rank approximation of kernels is a fundamental mathematical problem with widespread algorithmic applications. Often the kernel is restricted to an algebraic variety, e.g., in problems involving sparse or low-rank data. We show that…

Machine Learning · Computer Science 2023-10-02 Jason M. Altschuler , Pablo A. Parrilo

In this paper, by mapping datasets to a set of non-linear coherent states, the process of encoding inputs in quantum states as a non-linear feature map is re-interpreted. As a result of this fact that the Radial Basis Function is recovered…

Quantum Physics · Physics 2020-07-17 Prayag Tiwari , Shahram Dehdashti , Abdul Karim Obeid , Massimo Melucci , Peter Bruza

In this paper, we study a class of orthogonal polynomials defined by a three-term recurrence relation with periodic coefficients. We derive explicit formulas for the generating function, the associated continued fraction, the orthogonality…

Classical Analysis and ODEs · Mathematics 2025-07-01 Dan Dai , Mourad E. H. Ismail , Xiang-Sheng Wang

We analyze the polynomial solutions of a nonlinear integral equation, generalizing the work of C. Bender and E. Ben-Naim. We show that, in some cases, an orthogonal solution exists and we give its general form in terms of kernel…

Classical Analysis and ODEs · Mathematics 2015-05-13 Diego Dominici

We address the problem of constructing approximations based on orthogonal polynomials that preserve an arbitrary set of moments of a given function without loosing the spectral convergence property. To this aim, we compute the constrained…

Numerical Analysis · Mathematics 2025-04-18 Tino Laidin , Lorenzo Pareschi

In this paper, we investigate the trigonometric Heckman-Opdam polynomials of type $A_1$. We establish connections with ultraspherical polynomials and derive an explicit expression for the associated Poisson kernel. Using the product…

Classical Analysis and ODEs · Mathematics 2025-12-16 B. Amri , A. Guesmi
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