Lecture Notes in Mathematics 2046 Editors: J.-M.Morel,Cachan B.Teissier,Paris Forfurthervolumes: http://www.springer.com/series/304 • Catherine Donati-Martin Antoine Lejay (cid:2) Alain Rouault Editors Séminaire de Probabilités XLIV 123 Editors CatherineDonati-Martin AlainRouault UniversitédeVersailles-St-Quentin UniversitédeVersailles-St-Quentin Versailles Versailles France France AntoineLejay Nancy-Université,INRIA Vandoeuvre-lès-Nancy France ISBN978-3-642-27460-2 ISBN978-3-642-27461-9(eBook) DOI10.1007/978-3-642-27461-9 SpringerHeidelbergNewYorkDordrechtLondon LectureNotesinMathematicsISSNprintedition:0075-8434 ISSNelectronicedition:1617-9692 LibraryofCongressControlNumber:2012933110 MathematicsSubjectClassification(2010):60-XX,60JXX,60J60,60J10,60J65,60J55,46L54 (cid:2)c Springer-VerlagBerlinHeidelberg2012 Thisworkissubjecttocopyright.AllrightsarereservedbythePublisher,whetherthewholeorpartof thematerialisconcerned,specificallytherightsoftranslation,reprinting,reuseofillustrations,recitation, broadcasting,reproductiononmicrofilmsorinanyotherphysicalway,andtransmissionorinformation storageandretrieval,electronicadaptation,computersoftware,orbysimilarordissimilarmethodology nowknownorhereafterdeveloped.Exemptedfromthislegalreservationarebriefexcerptsinconnection with reviews or scholarly analysis or material supplied specifically for the purpose of being entered and executed on a computer system, for exclusive use by the purchaser of the work. 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Printedonacid-freepaper SpringerispartofSpringerScience+BusinessMedia(www.springer.com) Preface As usual, some of the contributions to this 44th Séminaire de Probabilités were exposedduringtheJournéesdeProbabilitésheldinDijoninJune2010.Theother ones come from spontaneous submissions or were solicited by the editors. The traditional and historical themes of the Séminaire are present, such as stochastic calculus,localtimesandexcursionsandmartingales.Somesubjectsalreadylargely present in the previous volumes are stil here: free probability, rough paths, limit theoremsforgeneralprocesses(herefractionalBrownianmotionandpolymers)and largedeviations.Finally,thisvolumeexploresnewtopics,includingvariablelength Markovchains and peacoks. We hope that the whole volume is a good sample of the main streams of current research on probability and stochastic processes, in particularthoseactiveinFrance. WeremindthatthewebsiteoftheSéminaireis http://portail.mathdoc.fr/SemProba/ andthatallthearticlesoftheSéminairefromVolumeIin1967toVolumeXXXVI in2002arefreelyaccessiblefromthewebsite http://www.numdam.org/numdam-bin/feuilleter?j=SPS WethanktheCelluleMathDocforhostingallthesearticleswithintheNUMDAM project. CatherineDonati-Martin AntoineLejay AlainRouault v • Contents ContextTrees,VariableLengthMarkovChains andDynamicalSources.......................................................... 1 PeggyCénac,BrigitteChauvin,FrédéricPaccaut, andNicolasPouyanne MartingalePropertyofGeneralizedStochasticExponentials .............. 41 AleksandarMijatovic´,NikaNovak,andMikhailUrusov Some Classes of Proper Integrals and Generalized Ornstein–UhlenbeckProcesses................................................. 61 AndreasBasse-O’Connor,Svend-ErikGraversen, andJanPedersen Martingale Representations for Diffusion Processes andBackwardStochasticDifferentialEquations ............................ 75 ZhongminQianandJiangangYing QuadraticSemimartingaleBSDEs Under anExponential MomentsCondition.............................................................. 105 MarkusMochaandNicholasWestray TheDerivativeoftheIntersectionLocalTimeofBrownian MotionThroughWienerChaos ................................................ 141 GregMarkowsky OntheOccupationTimesofBrownianExcursions andBrownianLoops............................................................. 149 HaoWu DiscreteApproximationstoSolutionFlowsofTanaka’sSDE RelatedtoWalshBrownianMotion............................................ 167 HatemHajri vii viii Contents SpectralDistributionoftheFreeUnitaryBrownianMotion: AnotherApproach............................................................... 191 NizarDemniandTaoufikHmidi Another Failure in the Analogy Between Gaussian and SemicircleLaws .................................................................. 207 NathalieEisenbaum Global Solutions to Rough DifferentialEquations with UnboundedVectorFields ....................................................... 215 AntoineLejay AsymptoticBehaviorofOscillatoryFractionalProcesses................... 247 RenaudMartyandKnutSølna TimeInversionPropertyforRotationInvariantSelf-similar DiffusionProcesses............................................................... 271 JuhaVuolle-Apiala OnPeacocks:AGeneralIntroductiontoTwoArticles ...................... 279 Antoine-MarieBogso,ChristopheProfeta,andBernardRoynette SomeExamplesofPeacocksinaMarkovianSet-Up......................... 281 Antoine-MarieBogso,ChristopheProfeta,andBernardRoynette PeacocksObtainedbyNormalisation:Strong andVeryStrongPeacocks....................................................... 317 Antoine-MarieBogso,ChristopheProfeta,andBernardRoynette BranchingBrownianMotion:Almost SureGrowthAlong ScaledPaths....................................................................... 375 SimonC.HarrisandMatthewI.Roberts OntheDelocalizedPhaseoftheRandomPinningModel ................... 401 Jean-ChristopheMourrat Large Deviations for Gaussian Stationary Processes andSemi-ClassicalAnalysis .................................................... 409 BernardBercu,Jean-FrançoisBony,andVincentBruneau GirsanovTheoryUnderaFiniteEntropyCondition ........................ 429 ChristianLéonard ErratumtoSéminaireXXVII................................................... 467 MichelÉmeryandMarcYor ErratumtoSéminaireXXXV................................................... 469 MichelÉmeryandWalterSchachermayer Context Trees, Variable Length Markov Chains and Dynamical Sources PeggyCénac,BrigitteChauvin,FrédéricPaccaut,andNicolasPouyanne Abstract Infiniterandomsequencesofletterscanbeviewedasstochasticchainsor asstringsproducedbyasource,inthesenseofinformationtheory.Therelationship between Variable Length Markov Chains (VLMC) and probabilistic dynamical sourcesisstudied.We establisha probabilisticframeforcontexttreesandVLMC andwe provethatanyVLMCisadynamicalsourceforwhichwe explicitlybuild the mapping. On two examples, the “comb” and the “bamboo blossom”, we find a necessary and sufficient condition for the existence and the uniqueness of a stationaryprobabilitymeasureforthe VLMC.Thesetwo examplesaredetailedin orderto providetheassociated Dirichletseriesas wellasthe generatingfunctions ofwordoccurrences. P.Cénac((cid:2)) UniversitédeBourgogne,InstitutdeMathématiquesdeBourgogneIMBUMR5584CNRS, 9avenueAlainSavary-BP47870,21078DIJONCEDEX,Bourgogne,France e-mail:[email protected] B.Chauvin INRIARocquencourt,projectAlgorithms,DomainedeVoluceauB.P.105, 78153LeChesnayCEDEX,France LaboratoiredeMathématiquesdeVersailles,CNRS,UMR8100,UniversitédeVersailles- St-Quentin,45avenuedesEtats-Unis,78035VersaillesCEDEX,France e-mail:[email protected] F.Paccaut LAMFA,CNRS,UMR6140,UniversitédePicardieJulesVerne,33rueSaint-Leu, 80039Amiens,France e-mail:[email protected] N.Pouyanne LaboratoiredeMathématiquesdeVersailles,CNRS,UMR8100,UniversitédeVersailles- St-Quentin,45avenuedesEtats-Unis,78035VersaillesCEDEX,France e-mail:[email protected] C.Donati-Martinetal.(eds.),SéminairedeProbabilitésXLIV,LectureNotes 1 inMathematics2046,DOI10.1007/978-3-642-27461-9__1, ©Springer-VerlagBerlinHeidelberg2012