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
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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