• 巴拿赫空间中的概率论
  • 巴拿赫空间中的概率论
  • 巴拿赫空间中的概率论
  • 巴拿赫空间中的概率论
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巴拿赫空间中的概率论

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作者[法]李多科斯(Ledoux M.) 著

出版社世界图书出版公司

出版时间2012-09

版次1

装帧平装

货号g24

上书时间2024-08-16

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图书标准信息
  • 作者 [法]李多科斯(Ledoux M.) 著
  • 出版社 世界图书出版公司
  • 出版时间 2012-09
  • 版次 1
  • ISBN 9787510048050
  • 定价 99.00元
  • 装帧 平装
  • 开本 16开
  • 纸张 胶版纸
  • 页数 480页
  • 正文语种 英语
【内容简介】
  ThisbooktriestopresentsomeofthemainaspectsofthetheoryofProbabilityinBanachspaces,fromthefoundationsofthetopictothelatestdevelopmentsandcurrentresearchquestions.ThepasttwentyyearssawintenseactivityinthestudyofclassicalProbabilityTheoryoninfinitedimensionalspaces.vectorvaluedrandomvariables,boundednessandcontinuityofran-domprocesses,withafruitfulinteractionwithclassicalBanachspacesandtheirgeometry.Alargecommunityofmathematicians,fromclassicalprobabiliststopureanalystsandfunctionalanalysts,participatedtothiscommonachievement.
  Therecentuseofisoperimetrictoolsandconcentrationofmeasurephenomena,andofabstractrandomprocesstechniqueshasledtodaytoratheracompletepictureofthefield.Thesedevelopmentspromptedtheauthorstoundertakethewritingofthisexpositionbasedonthismodernpointofview.
  Thisbookdoesnotpretendtocoveralltheaspectsofthesubjectandofitsconnectionswithotherfields.Inspiteofitsommissions,imperfectionsanderrors,forwhichwewouldliketoapologize,wehopethatthisworkgivesanattractivepictureofthesubjectandwillserveitappropriately.
【目录】
Introduction
Notation
Part0.IsoperimetricBackgroundandGeneralities
Chapter1.IsoperimetricInequalitiesandtheConcentrationofMeasurePhenomenon
1.1omeIsoperimetricInequalitiesontheSphere,inGaussSpaceandontheCube
1.2AnIsoperimetricInequalityforProductMeasures
1.3MartingaleInequalities
NotesandReferences
Chapter2.GeneralitiesonBanachSpaceValuedRandomVariablesandRandomProcesses
2.1BanachSpaceValuedRadonRandomVariables
2.2RandomProcessesandVectorValuedR,a,ndomVariables
2.3SymmetricRandomVariablesandLevy'sInequalities
2.4SomeInequalitiesforRealValuedRandomVariables
NotesandReferences

PartI.BanachSpaceValuedRandomVariablesandTheirStrongLimitingProperties
Chapter3.GaussianRandomVariables
3.1IntegrabilityandTailBehavior
3.2IntegrabilityofGaussianChaos
3.3ComparisonTheorems
NotesandReferences
Chapter4.RademacherAverages
4.1RealRademacherA'verages
4.2TheContractionPrinciple
4,3IntegrabilityandTailBehaviorofRademacherSeries
4.4IntegrabilityofRademacherChaos
4.5ComparisonTheorems
NotesandReferences
Chapter5.StableRandomVariables
5.1R;epresentationofStableRandomVariables
5.2IntegrabilityandTailBehavior
5.3ComparisonTheorems
NotesandReferences
Chapter6.SumsofIndependentRandomVariables
6.1SymmetrizationandSomeInequalitiesforSumsofIndependentRandomVariables
6.2IntegrabilityofSumsofIndependentRandomVariables
6.3ConcentrationandTailBehavior
NotesandR,eferences
Chapter7.TheStrongLawofLargeNumbers
7.1AGeneralStatementforStrongLimitTheorems
7.2ExamplesofLawsofLargeNumbers
NotesandReferences
Chapter8.TheLawofthelteratedLogarithm
8.1Kolmogorov'sLawoftheIteratedLogarithm
8.2Hartman-Wintner-Strassen'sLawoftheIteratedLogarithm
8.3OntheIdentificationoftheLimits
NotesandReferences

PartII.TightnessofVectorValuedR,andomVariablesandRegularityofRandomProcesses
……
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