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Filtration in Markov Chains and stopping times



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 00:00UTC (8:00pm US/Eastern)Stopping times of Markov chainsMarkov chains and natural filtrationTime homogeneous Markov chain with random timesA question about the “stopping time with respect to a set” of a Markov chainContinuous time Markov Chain's Natural FiltrationGiven a list L of N elements uniformly sampled from a set A, what is the probability that L contains every element of A?Interchanging limit and expectation for irreducible Markov chainsIrreducible Markov Chain has finite stopping-time to a finite setDetermining whether the following are Markov ChainsStrong Markov property and time-homogeneity










0












$begingroup$


I am trying to get a better understand of filtrations, and I can't seem to find any simple, concrete examples, so I will try to make one here.



Consider a discrete-time Markov chain with states $A,B$ that we run for 3 time steps. Is the following a correct representation of the corresponding filtration?



$$mathcalF_0 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
$$mathcalF_1 = emptyset, AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
$$mathcalF_2 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
$$mathcalF_3 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,
AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$



If this is correct, what are some "stopping times" in this example? Suppose $tau_A$ is the first time at which the chain is in state $A$. Then for $tau_A$ to be a stopping time we must have $tau_A=t in mathcalF_t$ for $t=0,1,2,3$? What is the event $tau_A=t$ in the above filtration?










share|cite|improve this question









$endgroup$
















    0












    $begingroup$


    I am trying to get a better understand of filtrations, and I can't seem to find any simple, concrete examples, so I will try to make one here.



    Consider a discrete-time Markov chain with states $A,B$ that we run for 3 time steps. Is the following a correct representation of the corresponding filtration?



    $$mathcalF_0 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
    $$mathcalF_1 = emptyset, AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
    $$mathcalF_2 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
    $$mathcalF_3 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,
    AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$



    If this is correct, what are some "stopping times" in this example? Suppose $tau_A$ is the first time at which the chain is in state $A$. Then for $tau_A$ to be a stopping time we must have $tau_A=t in mathcalF_t$ for $t=0,1,2,3$? What is the event $tau_A=t$ in the above filtration?










    share|cite|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      I am trying to get a better understand of filtrations, and I can't seem to find any simple, concrete examples, so I will try to make one here.



      Consider a discrete-time Markov chain with states $A,B$ that we run for 3 time steps. Is the following a correct representation of the corresponding filtration?



      $$mathcalF_0 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_1 = emptyset, AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_2 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_3 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,
      AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$



      If this is correct, what are some "stopping times" in this example? Suppose $tau_A$ is the first time at which the chain is in state $A$. Then for $tau_A$ to be a stopping time we must have $tau_A=t in mathcalF_t$ for $t=0,1,2,3$? What is the event $tau_A=t$ in the above filtration?










      share|cite|improve this question









      $endgroup$




      I am trying to get a better understand of filtrations, and I can't seem to find any simple, concrete examples, so I will try to make one here.



      Consider a discrete-time Markov chain with states $A,B$ that we run for 3 time steps. Is the following a correct representation of the corresponding filtration?



      $$mathcalF_0 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_1 = emptyset, AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_2 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$
      $$mathcalF_3 = emptyset, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,
      AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB,AAA,AAB,ABA,ABB, BAA,BAB,BBA,BBB, AAA,AAB,ABA,ABB,BAA,BAB,BBA,BBB$$



      If this is correct, what are some "stopping times" in this example? Suppose $tau_A$ is the first time at which the chain is in state $A$. Then for $tau_A$ to be a stopping time we must have $tau_A=t in mathcalF_t$ for $t=0,1,2,3$? What is the event $tau_A=t$ in the above filtration?







      probability markov-chains filtrations






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      asked Mar 27 at 15:50









      theQmantheQman

      45538




      45538




















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          $begingroup$

          This is correct.



          The event $tau_A=1$ is exactly $AAA,AAB,ABA,ABBinmathcal F_1$. Indeed, this event means that the first step leads to $A$.



          The event $tau_A=2$ is exactly $BAA,BABinmathcal F_2$. This event occures when the chain is at $B$ after the first step, and then at $A$ after the second step.



          Try to find the event $tau_A=3$ in $mathcal F_3$.






          share|cite|improve this answer









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            0












            $begingroup$

            This is correct.



            The event $tau_A=1$ is exactly $AAA,AAB,ABA,ABBinmathcal F_1$. Indeed, this event means that the first step leads to $A$.



            The event $tau_A=2$ is exactly $BAA,BABinmathcal F_2$. This event occures when the chain is at $B$ after the first step, and then at $A$ after the second step.



            Try to find the event $tau_A=3$ in $mathcal F_3$.






            share|cite|improve this answer









            $endgroup$

















              0












              $begingroup$

              This is correct.



              The event $tau_A=1$ is exactly $AAA,AAB,ABA,ABBinmathcal F_1$. Indeed, this event means that the first step leads to $A$.



              The event $tau_A=2$ is exactly $BAA,BABinmathcal F_2$. This event occures when the chain is at $B$ after the first step, and then at $A$ after the second step.



              Try to find the event $tau_A=3$ in $mathcal F_3$.






              share|cite|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$

                This is correct.



                The event $tau_A=1$ is exactly $AAA,AAB,ABA,ABBinmathcal F_1$. Indeed, this event means that the first step leads to $A$.



                The event $tau_A=2$ is exactly $BAA,BABinmathcal F_2$. This event occures when the chain is at $B$ after the first step, and then at $A$ after the second step.



                Try to find the event $tau_A=3$ in $mathcal F_3$.






                share|cite|improve this answer









                $endgroup$



                This is correct.



                The event $tau_A=1$ is exactly $AAA,AAB,ABA,ABBinmathcal F_1$. Indeed, this event means that the first step leads to $A$.



                The event $tau_A=2$ is exactly $BAA,BABinmathcal F_2$. This event occures when the chain is at $B$ after the first step, and then at $A$ after the second step.



                Try to find the event $tau_A=3$ in $mathcal F_3$.







                share|cite|improve this answer












                share|cite|improve this answer



                share|cite|improve this answer










                answered Mar 27 at 16:37









                NChNCh

                7,1403825




                7,1403825



























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