3 Absorbing Markov Processes Denition A state of a Markov process is called absorbing if once in that state there is no chance of leaving that state Example Does the Markov process represented by this transi tion matrix have an absorbing state If yes ID: 49049
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Math166-copyrightJoeKahlig,10APage1SectionM.3:AbsorbingMarkovProcesses Denition:AstateofaMarkovprocessiscalledabsorbingifonceinthatstatethereisnochanceofleavingthatstate.Example:DoestheMarkovprocessrepresentedbythistransitionmatrixhaveanabsorbingstate?Ifyes,givewhichstatesareabsorbing.T=ABC26664ABC0.10.300.350.410.550.3037775Example:DoestheMarkovprocessesrepresentedbythesetransitiondiagramshaveanabsorbingstate?Ifyes,givewhichstatesareabsorbing. BACD0.310.150.250.510.20.150.30.15 BADC10.20.70.50.40.60.50.1 Example:Findtheabsorbingstate(s),ifany,ofthetransitionmatrix.Findthelimitingmatrix.T=ABC26664ABC10.05000.450.500.50.537775Denition:Anabsorbingstochasticmatrix,absorbingtransitionmatrix,isastochasticmatrixinwhich1)thereisatleastoneabsorbingstate2)fromanystateitispossibletogettoatleastoneabsorbingstate,eitherdirectlyorthroughoneormoreintermediatestates.AMarkovprocesswithanabsorbingstochasticmatrixissaidtobeanabsorbingMarkovprocess. Math166-copyrightJoeKahlig,10APage2Example:DoesthistransitiondiagramrepresentanabsorbingMarkovprocess? BADC10.20.70.50.40.60.50.1 Example:DoesthetransitionmatrixrepresentanabsorbingMarkovprocess?T=ABCD2666664ABCD100000.800.6001000.200.43777775 Denition:Anabsorbingtransitionmatrixissaidtobeinstandardformwhentheabsorbingstatesarelistedbeforethenonabsorbingstates.Example:Converttheabsorbingtransitionmatrixtostandardform.ABCD2666664ABCD10.100.200.400.2500.310.1500.200.43777775Example:Givethetransistionmatrixinstandardformforthistransitiondiagram. BACD0.310.150.250.510.20.150.30.15 Math166-copyrightJoeKahlig,10APage3Theorem:(Part1)IfTthetransitionmatrixofanabsorbingMarkovprocessisinstandardformthenthelimitingmatrixcanbefoundbythefollowingcalculation.Note:Thislimitingmatrixissometimescalledthestablematrix.T="I A 0 B#L="I A(I B) 1 0 0#Example:Findthelimitingmatrixforthistransitionmatrix.T=ACBD2666664ACBD100.10.2010.30.15000.40.25000.20.43777775Example:Intermsoflongtermbehavior,whatpercentofthetimewillyouendupinstateAifyoustartoinStateB?StateC?StateE?T=ABCDE266666664ABCDE100.10.30.2010.30.20.1000.20.10.3000.20.20.1000.20.20.3377777775 Math166-copyrightJoeKahlig,10APage4Theorem:(Part2)ThecomputationF=(I B) 1iscalledthefundamentalmatrix.a)thesumoftheentriesinacolumnistheexpectednumberoftimeitwilltaketoenteranabsorbingstateifyoustartinthatstate(columnlabel).b)theindividualentriesinacolumnaretheexpectednumberoftimesofbeinginanonabsorbingstate(rowlabel)ifyoustartinparticularstate(columnlabel).Example:Findthefundamentalmatrix.T=ACBD2666664ACBD100.10.1010.20000.60.2000.10.73777775Example:Findthefundamentalmatrix.T=ABCDE266666664ABCDE1000.10.20100.20.30010.30.10000.30.20000.10.2377777775 Math166-copyrightJoeKahlig,10APage5Example:HeatherandBlakeplayacardgameinwhichtheytaketurnsdrawingacardfromastan-darddeckofcards.HeathercanwinthegameifshedrawsaheartandBlakecanwinthegameifhedrawsablackcard.Whenaplayerdoesn'twinontheirturn,theircardisreturnedtothedeck,thedeckisreshued,anditbecomestheotherplayersturn.Thegamehasfourstates:Heatherwins(HW),Blakewins(BW),Heather'sturn(HT),andBlake'sturn(BT).A)DrawthetransitiondiagramforthisMarkovprocess.B)Findthelimitingmatrix.C)WhatistheprobabilitythatHeatherwinsifshegoesrst?D)WhatistheexpectednumberofturnsifHeathergoesrst?E)Ifeachplayertakes2minutestoselecttheircard,whatistheexpectedlengthoftimethatthegamewilltakeifHeathergoesrst?F)IfHeathertakes3minutestoselecthercardandBlaketakes1minutetoselecthiscard,whatistheexpectedlengthoftimethatthegamewilltakeifBlakegoesrst?