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Spectral representations for the memory kernel characterizing self-diffusion

dc.contributor.authorDuderstadt, James J.en_US
dc.contributor.authorMosteller, R. D.en_US
dc.date.accessioned2006-09-11T15:42:25Z
dc.date.available2006-09-11T15:42:25Z
dc.date.issued1974-11en_US
dc.identifier.citationMosteller, R. D.; Duderstadt, J. J.; (1974). "Spectral representations for the memory kernel characterizing self-diffusion." Journal of Statistical Physics 11(5): 409-420. <http://hdl.handle.net/2027.42/45130>en_US
dc.identifier.issn1572-9613en_US
dc.identifier.issn0022-4715en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/45130
dc.description.abstractApproximate 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.en_US
dc.format.extent511818 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers-Plenum Publishers; Plenum Publishing Corporation ; Springer Science+Business Mediaen_US
dc.subject.otherMathematical and Computational Physicsen_US
dc.subject.otherMemory Kernel Equationsen_US
dc.subject.otherPhysicsen_US
dc.subject.otherPhysical Chemistryen_US
dc.subject.otherQuantum Physicsen_US
dc.subject.otherStatistical Physicsen_US
dc.subject.otherBrownian Motionen_US
dc.subject.otherMarkovian Approximationsen_US
dc.subject.otherMomentum Autocorrelation Functionen_US
dc.subject.otherProjection Operator Formalismsen_US
dc.subject.otherSelf-diffusionen_US
dc.titleSpectral representations for the memory kernel characterizing self-diffusionen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelPhysicsen_US
dc.subject.hlbsecondlevelMathematicsen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Nuclear Engineering, The University of Michigan, Ann Arbor, Michiganen_US
dc.contributor.affiliationotherDepartment of Nuclear Science and Engineering, The Catholic University of America, Washington, D.C.en_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/45130/1/10955_2005_Article_BF01026732.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1007/BF01026732en_US
dc.identifier.sourceJournal of Statistical Physicsen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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