• Title/Summary/Keyword: fredholm integral equation

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Fredholm Type Integral Equations and Certain Polynomials

  • Chaurasia, V.B.L.;Shekhawat, Ashok Singh
    • Kyungpook Mathematical Journal
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    • v.45 no.4
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    • pp.471-480
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    • 2005
  • This paper deals with some useful methods of solving the one-dimensional integral equation of Fredholm type. Application of the reduction techniques with a view to inverting a class of integral equation with Lauricella function in the kernel, Riemann-Liouville fractional integral operators as well as Weyl operators have been made to reduce to this class to generalized Stieltjes transform and inversion of which yields solution of the integral equation. Use of Mellin transform technique has also been made to solve the Fredholm integral equation pertaining to certain polynomials and H-functions.

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FREDHOLM-VOLTERRA INTEGRAL EQUATION WITH SINGULAR KERNEL

  • Darwish, M.A.
    • Journal of applied mathematics & informatics
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    • v.6 no.1
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    • pp.163-174
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    • 1999
  • The purpose of this paper is to obtain the solution of Fredholm-Volterra integral equation with singular kernel in the space $L_2(-1, 1)\times C(0,T), 0 \leq t \leq T< \infty$, under certain conditions,. The numerical method is used to solve the Fredholm integral equation of the second kind with weak singular kernel using the Toeplitz matrices. Also the error estimate is computed and some numerical examples are computed using the MathCad package.

A Regularization-direct Method to Numerically Solve First Kind Fredholm Integral Equation

  • Masouri, Zahra;Hatamzadeh, Saeed
    • Kyungpook Mathematical Journal
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    • v.60 no.4
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    • pp.869-881
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    • 2020
  • Most first kind integral equations are ill-posed, and obtaining their numerical solution often requires solving a linear system of algebraic equations of large condition number, which may be difficult or impossible. This article proposes a regularization-direct method to numerically solve first kind Fredholm integral equations. The vector forms of block-pulse functions and related properties are applied to formulate the direct method and reduce the integral equation to a linear system of algebraic equations. We include a regularization scheme to overcome the ill-posedness of integral equation and obtain a stable numerical solution. Some test problems are solved using the proposed regularization-direct method to illustrate its efficiency for solving first kind Fredholm integral equations.

A MIXED INTEGRAL EQUATION IN THE QUASI-STATIC DISPLACEMENT PROBLEM

  • Badr, Abdallah A.
    • Journal of applied mathematics & informatics
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    • v.7 no.2
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    • pp.575-583
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    • 2000
  • In this work, we solve the Fredholm-Volterra integral equation(FVIE) when the kernel takes a potential function form under given conditions. we represent this kernel in the Weber-sonin integral form.

FREDHOLM INTEGRAL EQUATION WITH SINGULAR KERNEL

  • M. A. Abdou;S. A. Hassan
    • Journal of applied mathematics & informatics
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    • v.7 no.1
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    • pp.223-236
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    • 2000
  • In this paper, we solve the Fredholm integral equation of the first and second kind when the kernel takes a singular form. Also, some important relations for Chebyshev polynomial of integration are established.

Numerical Solution For Fredholm Integral Equation With Hilbert Kernel

  • Abdou, Mohamed Abdella Ahmed;Hendi, Fathea Ahmed
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.9 no.1
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    • pp.111-123
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    • 2005
  • Here, the Fredholm integral equation with Hilbert kernel is solved numerically, using two different methods. Also the error, in each case, is estimated.

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REGULARIZED SOLUTION TO THE FREDHOLM INTEGRAL EQUATION OF THE FIRST KIND WITH NOISY DATA

  • Wen, Jin;Wei, Ting
    • Journal of applied mathematics & informatics
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    • v.29 no.1_2
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    • pp.23-37
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    • 2011
  • In this paper, we use a modified Tikhonov regularization method to solve the Fredholm integral equation of the first kind. Under the assumption that measured data are contaminated with deterministic errors, we give two error estimates. The convergence rates can be obtained under the suitable choices of regularization parameters and the number of measured points. Some numerical experiments show that the proposed method is effective and stable.

ON THE NUMERICAL SOLUTIONS OF INTEGRAL EQUATION OF MIXED TYPE

  • Abdou, Mohamed A.;Mohamed, Khamis I.
    • Journal of applied mathematics & informatics
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    • v.12 no.1_2
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    • pp.165-182
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    • 2003
  • Toeplitz matrix method and the product Nystrom method are described for mixed Fredholm-Volterra singular integral equation of the second kind with Carleman Kernel and logarithmic kernel. The results are compared with the exact solution of the integral equation. The error of each method is calculated.

THE RELIABLE MODIFIED OF LAPLACE ADOMIAN DECOMPOSITION METHOD TO SOLVE NONLINEAR INTERVAL VOLTERRA-FREDHOLM INTEGRAL EQUATIONS

  • Hamoud, Ahmed A.;Ghadle, Kirtiwant P.
    • Korean Journal of Mathematics
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    • v.25 no.3
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    • pp.323-334
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    • 2017
  • In this paper, we propose a combined form for solving nonlinear interval Volterra-Fredholm integral equations of the second kind based on the modifying Laplace Adomian decomposition method. We find the exact solutions of nonlinear interval Volterra-Fredholm integral equations with less computation as compared with standard decomposition method. Finally, an illustrative example has been solved to show the efficiency of the proposed method.

Design of a Continuous Adaptive Robust Control Estimating the Upper Bound of the Uncertainties using Fredholm Integral Formulae (Fredholm 적분식을 이용하여 불확실성의 경계치를 추정하는 적응강인제어기 설계)

  • 유동상
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.4
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    • pp.207-211
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    • 2004
  • We consider a class of uncertain nonlinear systems containing the uncertainties without a priori information except that they are bounded. For such systems, we assume that the upper bound of the uncertainties is represented as a Fredholm integral equation of the first kind and we propose an adaptation law that is capable of estimating the upper bound. Using this adaptive upper bound, a continuous robust control which renders uncertain nonlinear systems uniformly ultimately bounded is designed.