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Spectral representations for the memory kernel characterizing self-diffusion
- Source :
- Journal of Statistical Physics. 11:409-420
- Publication Year :
- 1974
- Publisher :
- Springer Science and Business Media LLC, 1974.
-
Abstract
- Approximate spectral representations are developed for the memory kernel which characterizes self-diffusion. These spectral representations are based upon approximate eigenfunctions constructed via the Rayleigh variational principle. A heuristic model is developed first in an effort to provide physical insight into the nature of the approximations employed, and then a number of specific trial functions are examined. These trial functions include sums of identical one- and two-particle functions as well as linear combinations of hydrodynamical variables. The results from these spectral representations indicate that the long-time behavior of the memory kernel (and thereby of the momentum autocorrelation function) is sensitive to the long-range effects of the interparticle potential. In addition, the equivalence of most of these spectral representations to specific low-order perturbation approximations is demonstrated.
- Subjects :
- Autocorrelation
Mathematical analysis
Perturbation (astronomy)
Statistical and Nonlinear Physics
Eigenfunction
symbols.namesake
Variational principle
symbols
Statistical physics
Rayleigh scattering
Linear combination
Equivalence (measure theory)
Mathematical Physics
Brownian motion
Mathematics
Subjects
Details
- ISSN :
- 15729613 and 00224715
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- Journal of Statistical Physics
- Accession number :
- edsair.doi...........f5b78b7985d5eb136841c24b91741dec