the DOS of the Holstein t-J model [3], to the dielectric constants of Si quantum dots [4], to linear scaling algo-Chebyshev polynomial approximations are an efficient and numerically stable way to calculate properties of the very large Hamil-rithms for tight-binding molecular dynamics [5], to projec
Spectral Approximation of the Free-Space Heat Kernel
โ Scribed by Leslie Greengard; Patrick Lin
- Publisher
- Elsevier Science
- Year
- 2000
- Tongue
- English
- Weight
- 154 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1063-5203
No coin nor oath required. For personal study only.
โฆ Synopsis
Many problems in applied mathematics, physics, and engineering require the solution of the heat equation in unbounded domains. Integral equation methods are particularly appropriate in this setting for several reasons: they are unconditionally stable, they are insensitive to the complexity of the geometry, and they do not require the artificial truncation of the computational domain as do finite difference and finite element techniques. Methods of this type, however, have not become widespread due to the high cost of evaluating heat potentials. When m points are used in the discretization of the initial data, M points are used in the discretization of the boundary, and N time steps are computed, an amount of work of the order O(N 2 M 2 + NMm) has traditionally been required. In this paper, we present an algorithm which requires an amount of work of the order O(NM log M + m log m) and which is based on the evolution of the continuous spectrum of the solution. The method generalizes an earlier technique developed by Greengard and Strain (1990, Comm. Pure Appl. Math. 43, 949) for evaluating layer potentials in bounded domains.
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