renewal, modulation and blinking quantum dots - anotrans更新,调制和闪烁的量子点- anotrans

renewal, modulation and blinking quantum dots - anotrans更新,调制和闪烁的量子点- anotrans

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时间:2018-07-20

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1、AginginBlinkingQuantumDots:RenewalorSlowModulation?P.ParadisiInstituteofAtmosphericSciencesandClimate(CNR),LecceUnitS.BiancoCenterforNonlinearSciences,UniversityofNorthTexasP.Grigolini,InstituteofChemicalandPhysicalProcesses(CNR),PisaCenterforNonlinearSciences,UniversityofNorthTexasDepartmentofPh

2、ysics,PisaUniversityOutlineRenewalprocessesanexample:theMannevilleMapRenewalAgingHowcanweevaluatetheamountofRenewalAginginatimeseries?RenewalAginginModulationprocessesApplicationtoBlinkingQuantumDots:renewalorslowmodulation?RenewalProcessesStochasticprocesswith:-recurrent(critical)eventsassociate

3、dwithsomepatternofthesystemvariables-WaitingTimes(WTs)aremutuallyindependentrandomvariables-WT=timeintervalbetweentwocriticaleventsD.R.Cox,RenewalTheory,ChapmanandHall,London(1962)Poissonprocesses:exponentialdistributionofWTsInterestingcase:power-lawtailinthedistributionofWTs(Non-Poissonrenewalpr

4、ocesses)Example:MannevilleMapModelforTurbulenceIntermittency:alternanceofLaminarRegionsandChaoticBurstsLaminarRegionswithlongResidence(Exit)TimesWaitingTimesShortandIntenseBurstshavetheeffectoferasingmemoryrandomcriticaleventP.Manneville,J.Physique41,1235(1980)RenewalAgingManneville-typestochasti

5、cmodel(z>1)Criticalevent:Exitfromy=1WT=ExitTimeRandombackinjection,uniformin[0,1]ParetodistributionofWTsP.Allegrinietal.,Phys.Rev.E68,056123(2003)Liouvilleequationforthetimeevolutionoftheprobabilitydistribution:Afteracriticalevent,thesystemrestartsfromanewrandominitialcondition(uniformdistributio

6、n).P.Allegrinietal.,Phys.Rev.E68,056123(2003)AginginRenewalProcessesisrelatedtothetimeevolutionofp(y,t)StartingobservationattimetaimpliesobservinganagedWTstatisticsPossibilityofusingthispropertyasanindicatorof“RenewalAging”ImportantFactsPoissonprocesseshavezerorenewalagingNon-zeroRenewalagingforN

7、on-PoissonrenewalprocessesDependenceonthedistributionofWTsApproximateanalyticalresultsavailableforPareto(power-law)distributionofWTsDescriptionofthemethodDefinitionofcriticaleventsinthetimeseriesWTssequenceWTsarecorrel

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