Multiresolution representation of operators with boundary conditions on simple domains

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Abstract

We develop a multiresolution representation of a class of integral operators satisfying boundary conditions on simple domains in order to construct fast algorithms for their application. We also elucidate some delicate theoretical issues related to the construction of periodic Greenʼs functions for Poissonʼs equation.

By applying the method of images to the non-standard form of the free space operator, we obtain lattice sums that converge absolutely on all scales, except possibly on the coarsest scale. On the coarsest scale the lattice sums may be only conditionally convergent and, thus, allow for some freedom in their definition. We use the limit of square partial sums as a definition of the limit and obtain a systematic, simple approach to the construction (in any dimension) of periodized operators with sparse non-standard forms.

We illustrate the results on several examples in dimensions one and three: the Hilbert transform, the projector on divergence free functions, the non-oscillatory Helmholtz Greenʼs function and the Poisson operator. Remarkably, the limit of square partial sums yields a periodic Poisson Greenʼs function which is not a convolution.

Using a short sum of decaying Gaussians to approximate periodic Greenʼs functions, we arrive at fast algorithms for their application. We further show that the results obtained for operators with periodic boundary conditions extend to operators with Dirichlet, Neumann, or mixed boundary conditions.

Keywords

Multiresolution
Non-standard form
Projector on divergence free functions
Poisson Greenʼs function
Non-oscillatory Helmholtz Greenʼs function
Hilbert transform
Periodic boundary conditions
Separated representations

Cited by (0)

1

This research was partially supported by DOE/ORNL grant 4000038129, and NSF grants DMS-0612358 and DMS-100995.

2

R.J.H. gratefully acknowledges support from NSF OCI 0904972. G.F. gratefully acknowledges support from Applied Mathematics Program of the Office of Advanced Scientific Computing Research, U.S. Department of Energy. His work was performed at the Oak Ridge National Laboratory, which is managed by UT-Battelle, LLC under Contract No. De-AC05-00OR22725.