YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Vibration and Acoustics
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Vibration and Acoustics
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Stochastic Averaging and Optimal Prediction

    Source: Journal of Vibration and Acoustics:;2007:;volume( 129 ):;issue: 006::page 803
    Author:
    Jun H. Park
    ,
    N. Sri Namachchivaya
    ,
    Natasha Neogi
    DOI: 10.1115/1.2748777
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: This 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.
    keyword(s): Noise (Sound) , Equations , Density , Dynamics (Mechanics) , Formulas AND Generators ,
    • Download: (105.3Kb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Price: 5000 Rial
    • Statistics

      Stochastic Averaging and Optimal Prediction

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/137087
    Collections
    • Journal of Vibration and Acoustics

    Show full item record

    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
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian