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1、MassachusettsInstituteofTechnologyDepartmentofElectricalEngineering&ComputerScience6.041/6.431:ProbabilisticSystemsAnalysis(Fall2012)Fall2012FinalExam:SolutionsProblem1:(24points)LetXnbethestateattimenoftheMarkovchainshowninthediagram.1113213123113211344561223211343(a)(4points)Iden
2、tifythetransientstatesandtherecurrentclasses.Solution:States2and3aretransient.State1formsitsownrecurrentclass.States4,5,and6formanotherrecurrentclass.(b)(4points)SupposethatX0=2.Findlimn!1P(Xn=3).Solution:Sincestate3istransient,thesteady-stateprobabilitythatthechainisinstate3is0.(c
3、)(4points)SupposethatX0=4.DoesXnconvergeinprobability?Solution:Thef4;5;6grecurrentclassisaperiodic(asevidentthroughtheself-transitions),andthereforesteady-stateprobabilitiesexistandareallnonzero(afactthatcanbeconrmedinpart(d)below)forthese3states.Sincethechainbeginswithinthisrecur
4、rentclass,itwillnotsettleonanysinglestate,andhenceXnwillnotconvergeinprobability.(d)(6points)SupposethatX0=3.Findlimn!1P(Xn=4).Solution:Startingatstate3,thechainwilleventuallytransitiontostate5andtherebyenterthef4;5;6grecurrentclass.Hence,1=2=3=0.Tond4;5;6,wesolvethefollowin
5、gsetofsteady-stateprobabilityequations:214=4+5;321125=4+5+6;343116=5+6;431=4+5+6:1Page1of7MassachusettsInstituteofTechnologyDepartmentofElectricalEngineering&ComputerScience6.041/6.431:ProbabilisticSystemsAnalysis(Fall2012)Thesolutionis12834=;5=;6=:232323Hence,limP(
6、X=4)==12:n!1n423(e)(6points)SupposethatX0=4andthatnislargeenoughsothattheMarkovchaincanbeassumedtobeinsteady-state.Giventhatthelasttransitionwasanupward"transition(thatis,giventhatXn+1=Xn+1),ndtheconditionalprobabilitythatXn=4.(Toavoiddoublejeopardy,incaseyoucannotsolvefortheste
7、ady-stateprobabilitiesinpart(d),orifyouareunsureaboutyouranswer,youcanexpressyouranswertopart(e)intermsofthesymbols1;:::;6.)Solution:ThedesiredprobabilityisP(Xn=4;Xn+1=5)P(Xn=4jXn+1=Xn+1)=:P(Xn+1=Xn+1)Sinceweareassumingthechainisinsteady-state,wecanusetheapproximationP(Xn=k)=kto
8、obtain:1214P(Xn=4;Xn+1=5)=
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