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contributor authorJun H. Park
contributor authorN. Sri Namachchivaya
contributor authorNatasha Neogi
date accessioned2017-05-09T00:26:18Z
date available2017-05-09T00:26:18Z
date copyrightDecember, 2007
date issued2007
identifier issn1048-9002
identifier otherJVACEK-28890#803_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/137087
description abstractThis work is concerned with the similarity between the two important reduction schemes: optimal prediction and stochastic averaging. To this end, we consider a randomly perturbed Hamiltonian system and derive a generalized Langevin equation from a Kolmogorov backward equation. We then show the similarity by adopting conditional expectation as our projection operator in the generalized Langevin equation. The characteristics of the conditional expectation play a central role in our study.
publisherThe American Society of Mechanical Engineers (ASME)
titleStochastic Averaging and Optimal Prediction
typeJournal Paper
journal volume129
journal issue6
journal titleJournal of Vibration and Acoustics
identifier doi10.1115/1.2748777
journal fristpage803
journal lastpage807
identifier eissn1528-8927
keywordsNoise (Sound)
keywordsEquations
keywordsDensity
keywordsDynamics (Mechanics)
keywordsFormulas AND Generators
treeJournal of Vibration and Acoustics:;2007:;volume( 129 ):;issue: 006
contenttypeFulltext


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