Sampling in Reproducing Kernel Hilbert Space
نویسنده
چکیده
An account of sampling in the setting of reproducing kernel spaces is given, the main point of which is to show that the sampling theory of Kluvánek, even though it is very general in some respects, is nevertheless a special case of the reproducing kernel theory. A Dictionary is provided as a handy summary of the essential steps. Starting with the classical formulation, the notion of band-limitation is a key feature in these settings. The present chapter is, by and large, self-contained and a specialist knowledge of reproducing kernel theory is not required. Here is one of Ramanujan’s beautiful Fourier integrals. Let denote Euler’s Gamma function as usual, and let ̨ C ˇ > 1. Then Z 1 1 e ixt . ̨ C t / .ˇ t / dt D 8̂ <̂ ˆ̂: f2 cos.x=2/g ̨Cˇ 2 . ̨ C ˇ 1/ e ix. ̨ ; jxj I 0; jxj : (2.1) One recognises qualities of simplicity and integrity in the nature of this remarkable formula. Simplicity appears first, in a left-hand side which involves only elementary functions and Gamma, the most basic transcendental function. By integrity I mean that the right-hand side stays within this regime. One might not have anticipated this! As well as giving rise to several interesting special cases [22, p. 187], the formula provides an example of a function whose Fourier transform has support on a compact set. Such functions are usually called band-limited. Here the compact set, or frequency band, or set of spectral support, is Œ ; . J.R. Higgins ( ) 4 rue du Bary, 11250, Montclar, France e-mail: [email protected] © Springer International Publishing Switzerland 2014 A.I. Zayed, G. Schmeisser (eds.), New Perspectives on Approximation and Sampling Theory, Applied and Numerical Harmonic Analysis, DOI 10.1007/978-3-319-08801-3__2 23
منابع مشابه
Reproducing Kernel Space Hilbert Method for Solving Generalized Burgers Equation
In this paper, we present a new method for solving Reproducing Kernel Space (RKS) theory, and iterative algorithm for solving Generalized Burgers Equation (GBE) is presented. The analytical solution is shown in a series in a RKS, and the approximate solution u(x,t) is constructed by truncating the series. The convergence of u(x,t) to the analytical solution is also proved.
متن کاملSolving multi-order fractional differential equations by reproducing kernel Hilbert space method
In this paper we propose a relatively new semi-analytical technique to approximate the solution of nonlinear multi-order fractional differential equations (FDEs). We present some results concerning to the uniqueness of solution of nonlinear multi-order FDEs and discuss the existence of solution for nonlinear multi-order FDEs in reproducing kernel Hilbert space (RKHS). We further give an error a...
متن کاملSolving Fuzzy Impulsive Fractional Differential Equations by Reproducing Kernel Hilbert Space Method
The aim of this paper is to use the Reproducing kernel Hilbert Space Method (RKHSM) to solve the linear and nonlinear fuzzy impulsive fractional differential equations. Finding the numerical solutionsof this class of equations are a difficult topic to analyze. In this study, convergence analysis, estimations error and bounds errors are discussed in detail under some hypotheses which provi...
متن کاملThe combined reproducing kernel method and Taylor series for solving nonlinear Volterra-Fredholm integro-differential equations
In this letter, the numerical scheme of nonlinear Volterra-Fredholm integro-differential equations is proposed in a reproducing kernel Hilbert space (RKHS). The method is constructed based on the reproducing kernel properties in which the initial condition of the problem is satised. The nonlinear terms are replaced by its Taylor series. In this technique, the nonlinear Volterra-Fredholm integro...
متن کاملFisher’s Linear Discriminant Analysis for Weather Data by reproducing kernel Hilbert spaces framework
Recently with science and technology development, data with functional nature are easy to collect. Hence, statistical analysis of such data is of great importance. Similar to multivariate analysis, linear combinations of random variables have a key role in functional analysis. The role of Theory of Reproducing Kernel Hilbert Spaces is very important in this content. In this paper we study a gen...
متن کاملSolving integral equations of the third kind in the reproducing kernel space
A reproducing kernel Hilbert space restricts the space of functions to smooth functions and has structure for function approximation and some aspects in learning theory. In this paper, the solution of an integral equation of the third kind is constructed analytically using a new method. The analytical solution is represented in the form of series in the reproducing kernel space. Some numerical ...
متن کامل