In
mathematics, the
Fredholm integral equation is an
integral equation whose solution gives rise to
Fredholm theory, the study of
Fredholm kernels and
Fredholm operators. The integral equation was studied by
Ivar Fredholm.
Equation of the first kind
A
homogeneous Fredholm equation of the first kind is written as:
and the problem is, given the continuous kernel function K(t,s), and the function g(t), to find the function f(s).
If the kernel is a function only of the difference of its arguments, namely , and the limits of integration are , then the right hand side of the equation can be rewritten as a convolution of the functions K and f and therefore the solution will be given by
{mathcal{F}_t[g(t)](omega)over
mathcal{F}_t[K(t)](omega)}
right]=int_{-infty}^infty {mathcal{F}_t[g(t)](omega)over
mathcal{F}_t[K(t)](omega)}e^{2pi i omega t} domega
where and are the direct and inverse Fourier transforms respectively.
Equation of the second kind
An inhomogeneous Fredholm equation of the second kind is given as
Given the kernel K(t,s), and the function , the problem is typically to find the function . A standard approach to solving this is to use the resolvent formalism; written as a series, the solution is known as the Liouville-Neumann series.
General theory
The general theory underlying the Fredholm equations is known as
Fredholm theory. One of the principal results is that the kernel
K is a
compact operator, known as the
Fredholm operator. Compactness may be shown by invoking
equicontinuity. As an operator, it has a
spectral theory that can be understood in terms of a discrete spectrum of
eigenvalues that tend to 0.
Applications
Fredholm equations arise naturally in the theory of
signal processing, most notably as the famous
spectral concentration problem popularized by
David Slepian.
See also
References
- Integral Equations at EqWorld: The World of Mathematical Equations.
- A.D. Polyanin and A.V. Manzhirov, Handbook of Integral Equations, CRC Press, Boca Raton, 1998. ISBN 0-8493-2876-4
-
- D. Slepian, "Some comments on Fourier Analysis, uncertainty and modeling", SIAM Review, 1983, Vol. 25, No. 3, 379-393.