扩散 马尔可夫过程和鞅 第1卷

内容简介

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Longago(orsoitseemstoday),Chungwroteonpage196ofhisbook[1]:’Onewondersifthepresenttheoryofstochasticprocessesisnotstilltoodifficultforapplications.’Advancesinthetheorysincethattimehavebeenphenomenal,butthesehavebeenaccompaniedbyanincreaseinthetechnicaldifficultyofthesubjectsobewilderingastogiveaquaintcharmtoChung’suseoftheword’still’.Meyerwritesintheprefacetohisdefinitiveaccountofstochasticintegraltheory:’…ilfaut…uncoursdesixmoissurlesdefinitions.Quepeutonyfaire?’IhavethoughtupasintuitiveapictureofthesubjectasIcan,writtenitdownatspeed,andrefusedtobeluredbackbypiety(orevenbywit!)tocancelhalfaline.’First’intuition,whichiswhatyouneedwhenyouarelearningthesubject,israw,roughandready;and,asyouhaveguessed,Imaketheexcusethatitdemandsacompatiblestyleandlackofpolish.NotethatIwrote’firstintuition’.Consideranexample.Meyer’sconceptofarightprocessisexactlyrightforMarkovprocesstheory,buttheconceptistheresultofalongevolution.Tounderstanditproperly,youneedahighlydevelopedintuition,andthattakestimetoacquire.Thedifficultywiththebestadvancedliteratureisthatitsauthorshavetoomuchintuition;nevermakethemistakeofthinkingotherwise.

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目录

SomeFrequentlyUsedNotationCHAPTERⅠ.BROWNIANMOTION1.INTRODUCTION 1.WhatisBrownianmotion,andwhystudyit 2.Brownianmotionasamartingale 3.BrownianmotionasaGaussianprocess 4.BrownianmotionasaMarkovprocess 5.Brownianmotionasadiffusionandmartingale2.BASICSABOUTBROWNIANMOTION 6.ExistenceanduniquenessofBrownianmotion 7.Skorokhodembedding 8.Donsker”sInvariancePrinciple 9.Exponentialmartingalesandfirst-passagedistributions 10.Somesample-pathproperties 11.Quadraticvariation 12.ThestrongMarkovproperty 13.Reflection 14.ReflectingBrownianmotionandlocaltime 15.Kolmogorov”stest 16.BrownianexponentialmartingalesandtheLawoftheIteratedLogarithm3.BROWNIANMOTIONINHIGHERDIMENSIONS 17.SomemartingalesforBrownianmotion 18.Recurrenceandtransienceinhigherdimensions 19.SomeapplicationsofBrownianmotiontocomplexanalysis 20.WindingsofplanarBrownianmotion 21.Multiplepoints,conepoints,cutpoints 22.PotentialtheoryofBrownianmotioninRdd≥3 23.Brownianmotionandphysicaldiffusion4.GAUSSIANPROCESSESANDLEVYPROCESSES Gaussianprocesses  24.ExistenceresultsforGaussianprocesses  25.Continuityresults  26.Isotropicrandomflows  27.Dynkin”sIsomorphismTheorem Levyprocesses  28.Levyprocesses  29.FluctuationtheoryandWiener-Hopffactorisation  30.LocaltimeofLevyprocessesCHAPTERⅡ.SOMECLASSICALTHEORY 1.BASICMEASURETHEORY  Measurabilityandmeasure   1.Measurablespaces;a-algebras;n-systems;d-systems   2.Measurablefunctions   3.Monotone-ClassTheorems   4.Measures;theuniquenesslemma;almosteverywhere;a.e.u,∑   5.Caratheodory”sExtensionTheorem   6.Innerandouteru-measures;completion  Integration   7.Definitionoftheintegralfdu   8.Convergencetheorems   9.TheRadon-NikodymTheorem;absolutecontinuity;<   10.Inequalities;andspacesp≥1  Productstructures   11.Producta-algebras   12.Productmeasure;Fubini''sTheorem   13.Exercises 2.BASICPROBABILITYTHEORY  Probabilityandexpectation   14.Probabilitytriple;almostsurelya.s.;a.s.P,a.s.P,F   15.limsupEn:FirstBorel-CantelliLemma   16.Lawofrandomvariable;distributionfunction:jointlaw   17.Expectation:EX;F   18.Inequalities:Markov,Jensen,Schwarz,Tchebychev   19.Modesofconvergenceofrandomvariables  UniformintegrabilityandL1convergence   20.Uniformintegrability   21.L1convergence  Independence   22.Independenceofa-algebrasandofrandomvariables   23.Existenceoffamiliesofindependentvariables   24.Exercises3.STOCHASTICPROCESSES4.DISCRETE-PARAMETERMARTINGALETHEORY5.CONTINUOUS-PARAMETERSUPERMARTINGALESCHAPTERⅢ.MARKOVPROCESSES1.TRANSITIONFUNCTIONSANDRESOLVENTS2.FELLER-DYNKINPROCESSES3.ADDITIVEFUNCTIONALS4.APPROACHTORAYPROCESSES:5.RAYPROCESSES6.APPLICATIONSReferencesforVolumes1and2IndextoVolumes1and2

封面

扩散 马尔可夫过程和鞅 第1卷

书名:扩散 马尔可夫过程和鞅 第1卷

作者:L.C.G.Rogers,D.Williams 著

页数:566

定价:¥63.0

出版社:世界图书出版公司

出版日期:2003-01-01

ISBN:9787506259217

PDF电子书大小:32MB 高清扫描完整版



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