In physics and applied mathematics, analytical regularization is a technique used to convert boundary value problems which can be written as Fredholm integral equations of the first kind involving singular operators into equivalent Fredholm integral equations of the second kind. The latter may be easier to solve analytically and can be studied with discretization schemes like the finite element method or the finite difference method because they are pointwise convergent. In computational electromagnetics, it is known as the method of analytical regularization. It was first used in mathematics during the development of operator theory before acquiring a name.
Analytical regularization proceeds as follows. First, the boundary value problem is formulated as an integral equation. Written as an operator equation, this will take the form
with representing boundary conditions and inhomogeneities, representing the field of interest, and the integral operator describing how Y is given from X based on the physics of the problem. Next, is split into , where is invertible and contains all the singularities of and is regular. After splitting the operator and multiplying by the inverse of , the equation becomes
In general, several choices for will be possible for each problem.
- Nosich, Alexander I. 'The Method of Analytic Regularization in Wave-Scattering and Eigenvalue Problems: Foundations and Review of Solutions' IEEE Antennas and Propagation Magazine. Vol 41, No. 3. June 1999
- Analytical regularization for confined quantum fields between parallel surfaces F C Santos et al. 2006 J. Phys. A: Math. Gen. 39 6725-6732 doi: 10.1088/0305-4470/39/21/S73.
- Regularization of the Dirichlet Problem for Laplace's Equation: Surfaces of Revolution Authors: Sergey B. Panin ab; Paul D. Smith a; Elena D. Vinogradova a; Yury A. Tuchkin bc; Sergey S. Vinogradov d
- Kleinert, H.; Schulte-Frohlinde, V. (2001), Critical Properties of φ4-Theories, pp. 1–474, ISBN 978-981-02-4659-4, Paperpack ISBN 978-981-02-4659-4 (also available online). Read Chapter 8 for Analytic Regularization.