3 research outputs found

    On a relation of distribution with series in L2 and logarithmic averages in the case of symmetric jump behavior

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    Distribution theory has an important role in applied mathematics, that generalizes the classical notion of functions in mathematical analysis. Distributions make it possible to differentiate functions whose derivatives do not exist in the classical sense. Firstly, in the introduction part of this paper we will give some general notations, definitions and results in distribution theory, as  analytic representation of distribution, distributional jump behavior, distributional symmetric jump behavior, tempered distributions, formulas for the jump of distributions in terms of Fourier series, tempered derivative and integral. Then in final part we will state two results, the first one has to do on relation of analytic functions in the upper half-plane with some logarithmic averages in the case of symmetric jump behavior and the second one is related to decomposition of tempered distribution to series

    Some Notes on Neville’s Algorithm of Interpolation with Applications to Trigonometric Interpolation

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     In this paper is given a description of Neville’s algorithm which is generated from Lagrange interpolation polynomials. Given a summary of the properties of these polynomials with some applications. Then, using the Lagrange polynomials of lower degrees, Neville algorithm allows recursive computation of those of the larger degrees, including the adaption of Neville’s method to trigonometric interpolation. Furthermore, using a software application, such as in our case, Matlab, we will show the numerical experiments comparisons between the Lagrange interpolation and Neville`s interpolation methods and conclude for their advantages or disadvantages

    For some boundary Value Problems in Distributions

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    In this paper we give a result concerning convergent sequences of functions that give convergent sequence of distributions in  and find the analytic representation of the distribution obtained by their boundary values. Also, we present two examples
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