Martingale theory: Collection of examples and counterexamples












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The aim of this question is to collect interesting examples and counterexamples in martingale theory. There is a huge variety of such (counter)examples available here on StackExchange but I always have a hard time when I try to locate a specific example/question. I believe that it would be a benefit to make this knowledge easier to access. For this reason I would like to create a (big) list with references to related threads.



Martingale theory is a broad topic, and therefore I suggest to focus on time-discrete martingales $(M_n)_{n in mathbb{N}}$. I am well aware that this is still a quite broad field. To make this list a helpful tool (e.g. for answering questions) please make sure to give a short but concise description of each (counter)example which you list in your answer.



Related literature:




  • Jordan M. Stoyanov: Counterexamples in Probability, Dover.

  • Joseph P. Romano, Andrew F. Siegel: Counterexamples in probability and statistics, CRC Press.










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  • An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
    – Kavi Rama Murthy
    Oct 28 at 12:01


















8














The aim of this question is to collect interesting examples and counterexamples in martingale theory. There is a huge variety of such (counter)examples available here on StackExchange but I always have a hard time when I try to locate a specific example/question. I believe that it would be a benefit to make this knowledge easier to access. For this reason I would like to create a (big) list with references to related threads.



Martingale theory is a broad topic, and therefore I suggest to focus on time-discrete martingales $(M_n)_{n in mathbb{N}}$. I am well aware that this is still a quite broad field. To make this list a helpful tool (e.g. for answering questions) please make sure to give a short but concise description of each (counter)example which you list in your answer.



Related literature:




  • Jordan M. Stoyanov: Counterexamples in Probability, Dover.

  • Joseph P. Romano, Andrew F. Siegel: Counterexamples in probability and statistics, CRC Press.










share|cite|improve this question






















  • An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
    – Kavi Rama Murthy
    Oct 28 at 12:01
















8












8








8


6





The aim of this question is to collect interesting examples and counterexamples in martingale theory. There is a huge variety of such (counter)examples available here on StackExchange but I always have a hard time when I try to locate a specific example/question. I believe that it would be a benefit to make this knowledge easier to access. For this reason I would like to create a (big) list with references to related threads.



Martingale theory is a broad topic, and therefore I suggest to focus on time-discrete martingales $(M_n)_{n in mathbb{N}}$. I am well aware that this is still a quite broad field. To make this list a helpful tool (e.g. for answering questions) please make sure to give a short but concise description of each (counter)example which you list in your answer.



Related literature:




  • Jordan M. Stoyanov: Counterexamples in Probability, Dover.

  • Joseph P. Romano, Andrew F. Siegel: Counterexamples in probability and statistics, CRC Press.










share|cite|improve this question













The aim of this question is to collect interesting examples and counterexamples in martingale theory. There is a huge variety of such (counter)examples available here on StackExchange but I always have a hard time when I try to locate a specific example/question. I believe that it would be a benefit to make this knowledge easier to access. For this reason I would like to create a (big) list with references to related threads.



Martingale theory is a broad topic, and therefore I suggest to focus on time-discrete martingales $(M_n)_{n in mathbb{N}}$. I am well aware that this is still a quite broad field. To make this list a helpful tool (e.g. for answering questions) please make sure to give a short but concise description of each (counter)example which you list in your answer.



Related literature:




  • Jordan M. Stoyanov: Counterexamples in Probability, Dover.

  • Joseph P. Romano, Andrew F. Siegel: Counterexamples in probability and statistics, CRC Press.







probability-theory examples-counterexamples martingales big-list






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asked Oct 28 at 8:18









saz

77.8k756120




77.8k756120












  • An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
    – Kavi Rama Murthy
    Oct 28 at 12:01




















  • An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
    – Kavi Rama Murthy
    Oct 28 at 12:01


















An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
– Kavi Rama Murthy
Oct 28 at 12:01






An example which I like but not found in text books is the following: consider $(0,1)$ with Lebesgue measure and let $X_n(omega)=n$ if $0<omega <frac 1 n$, and $0$ otherwise. This sequence happens to be a martingale which converges almost surely but not in the mean (hence not uniformly integrable).
– Kavi Rama Murthy
Oct 28 at 12:01












1 Answer
1






active

oldest

votes


















7














convergence results:




  • pointwise convergence of martingale $M_n$ does not imply $sup_n mathbb{E}(M_n^+)<infty$ (this means that the converse of the martingal convergence theorem does not hold true)


  • martingale which converges almost surely but not in $L^1$ (see also here)


  • martingale $(M_n)_n$ such that $M_n to infty$ almost surely


  • non-trivial martingale which converges almost surely to $0$ (see also here)


  • martingale which converges in probability but not almost surely (see also here)


  • martingale which converges in distribution but not almost surely/in probability (see also Section 2.2 here)



uniform integrability:




  • martingale $(M_n)_n$ for which $M_{infty} = lim_n M_n$ exists a.s. but $mathbb{E}(M_{infty} mid mathcal{F}_n) neq M_n$ (see also here and here; note that such a martingale cannot be uniformly integrable and cannot converge in $L^1$)


  • uniformly integrable martingale $(M_n)_n$ such that $mathbb{E}left( sup_{n in mathbb{N}} |M_n| right) = infty$.



sample path behaviour:




  • oscillating martingale with bounded sample paths


  • non-trivial martingale which is constant with positive probability


  • martingale which is non-constant and non-negative



Stopping times (Optional stopping/sampling theorem):




  • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $mathbb{E}(M_{tau}) neq mathbb{E}(M_0)$


  • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $M_{n wedge tau} to M_{tau}$ almost surely but not in $L^1$ (see the very first part of the the linked answer)


  • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $tau<infty$ almost surely and $mathbb{E}(tau)=infty$



Other




  • stochastic process $(M_n)_n$ which satisfies $mathbb{E}(M_{n+1} mid M_n) = M_n$ for all $n$ but which is not a martingale


  • martingale which is not bounded in $L^1$







share|cite|improve this answer























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    1 Answer
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    active

    oldest

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    1 Answer
    1






    active

    oldest

    votes









    active

    oldest

    votes






    active

    oldest

    votes









    7














    convergence results:




    • pointwise convergence of martingale $M_n$ does not imply $sup_n mathbb{E}(M_n^+)<infty$ (this means that the converse of the martingal convergence theorem does not hold true)


    • martingale which converges almost surely but not in $L^1$ (see also here)


    • martingale $(M_n)_n$ such that $M_n to infty$ almost surely


    • non-trivial martingale which converges almost surely to $0$ (see also here)


    • martingale which converges in probability but not almost surely (see also here)


    • martingale which converges in distribution but not almost surely/in probability (see also Section 2.2 here)



    uniform integrability:




    • martingale $(M_n)_n$ for which $M_{infty} = lim_n M_n$ exists a.s. but $mathbb{E}(M_{infty} mid mathcal{F}_n) neq M_n$ (see also here and here; note that such a martingale cannot be uniformly integrable and cannot converge in $L^1$)


    • uniformly integrable martingale $(M_n)_n$ such that $mathbb{E}left( sup_{n in mathbb{N}} |M_n| right) = infty$.



    sample path behaviour:




    • oscillating martingale with bounded sample paths


    • non-trivial martingale which is constant with positive probability


    • martingale which is non-constant and non-negative



    Stopping times (Optional stopping/sampling theorem):




    • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $mathbb{E}(M_{tau}) neq mathbb{E}(M_0)$


    • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $M_{n wedge tau} to M_{tau}$ almost surely but not in $L^1$ (see the very first part of the the linked answer)


    • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $tau<infty$ almost surely and $mathbb{E}(tau)=infty$



    Other




    • stochastic process $(M_n)_n$ which satisfies $mathbb{E}(M_{n+1} mid M_n) = M_n$ for all $n$ but which is not a martingale


    • martingale which is not bounded in $L^1$







    share|cite|improve this answer




























      7














      convergence results:




      • pointwise convergence of martingale $M_n$ does not imply $sup_n mathbb{E}(M_n^+)<infty$ (this means that the converse of the martingal convergence theorem does not hold true)


      • martingale which converges almost surely but not in $L^1$ (see also here)


      • martingale $(M_n)_n$ such that $M_n to infty$ almost surely


      • non-trivial martingale which converges almost surely to $0$ (see also here)


      • martingale which converges in probability but not almost surely (see also here)


      • martingale which converges in distribution but not almost surely/in probability (see also Section 2.2 here)



      uniform integrability:




      • martingale $(M_n)_n$ for which $M_{infty} = lim_n M_n$ exists a.s. but $mathbb{E}(M_{infty} mid mathcal{F}_n) neq M_n$ (see also here and here; note that such a martingale cannot be uniformly integrable and cannot converge in $L^1$)


      • uniformly integrable martingale $(M_n)_n$ such that $mathbb{E}left( sup_{n in mathbb{N}} |M_n| right) = infty$.



      sample path behaviour:




      • oscillating martingale with bounded sample paths


      • non-trivial martingale which is constant with positive probability


      • martingale which is non-constant and non-negative



      Stopping times (Optional stopping/sampling theorem):




      • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $mathbb{E}(M_{tau}) neq mathbb{E}(M_0)$


      • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $M_{n wedge tau} to M_{tau}$ almost surely but not in $L^1$ (see the very first part of the the linked answer)


      • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $tau<infty$ almost surely and $mathbb{E}(tau)=infty$



      Other




      • stochastic process $(M_n)_n$ which satisfies $mathbb{E}(M_{n+1} mid M_n) = M_n$ for all $n$ but which is not a martingale


      • martingale which is not bounded in $L^1$







      share|cite|improve this answer


























        7












        7








        7






        convergence results:




        • pointwise convergence of martingale $M_n$ does not imply $sup_n mathbb{E}(M_n^+)<infty$ (this means that the converse of the martingal convergence theorem does not hold true)


        • martingale which converges almost surely but not in $L^1$ (see also here)


        • martingale $(M_n)_n$ such that $M_n to infty$ almost surely


        • non-trivial martingale which converges almost surely to $0$ (see also here)


        • martingale which converges in probability but not almost surely (see also here)


        • martingale which converges in distribution but not almost surely/in probability (see also Section 2.2 here)



        uniform integrability:




        • martingale $(M_n)_n$ for which $M_{infty} = lim_n M_n$ exists a.s. but $mathbb{E}(M_{infty} mid mathcal{F}_n) neq M_n$ (see also here and here; note that such a martingale cannot be uniformly integrable and cannot converge in $L^1$)


        • uniformly integrable martingale $(M_n)_n$ such that $mathbb{E}left( sup_{n in mathbb{N}} |M_n| right) = infty$.



        sample path behaviour:




        • oscillating martingale with bounded sample paths


        • non-trivial martingale which is constant with positive probability


        • martingale which is non-constant and non-negative



        Stopping times (Optional stopping/sampling theorem):




        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $mathbb{E}(M_{tau}) neq mathbb{E}(M_0)$


        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $M_{n wedge tau} to M_{tau}$ almost surely but not in $L^1$ (see the very first part of the the linked answer)


        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $tau<infty$ almost surely and $mathbb{E}(tau)=infty$



        Other




        • stochastic process $(M_n)_n$ which satisfies $mathbb{E}(M_{n+1} mid M_n) = M_n$ for all $n$ but which is not a martingale


        • martingale which is not bounded in $L^1$







        share|cite|improve this answer














        convergence results:




        • pointwise convergence of martingale $M_n$ does not imply $sup_n mathbb{E}(M_n^+)<infty$ (this means that the converse of the martingal convergence theorem does not hold true)


        • martingale which converges almost surely but not in $L^1$ (see also here)


        • martingale $(M_n)_n$ such that $M_n to infty$ almost surely


        • non-trivial martingale which converges almost surely to $0$ (see also here)


        • martingale which converges in probability but not almost surely (see also here)


        • martingale which converges in distribution but not almost surely/in probability (see also Section 2.2 here)



        uniform integrability:




        • martingale $(M_n)_n$ for which $M_{infty} = lim_n M_n$ exists a.s. but $mathbb{E}(M_{infty} mid mathcal{F}_n) neq M_n$ (see also here and here; note that such a martingale cannot be uniformly integrable and cannot converge in $L^1$)


        • uniformly integrable martingale $(M_n)_n$ such that $mathbb{E}left( sup_{n in mathbb{N}} |M_n| right) = infty$.



        sample path behaviour:




        • oscillating martingale with bounded sample paths


        • non-trivial martingale which is constant with positive probability


        • martingale which is non-constant and non-negative



        Stopping times (Optional stopping/sampling theorem):




        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $mathbb{E}(M_{tau}) neq mathbb{E}(M_0)$


        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $M_{n wedge tau} to M_{tau}$ almost surely but not in $L^1$ (see the very first part of the the linked answer)


        • martingale $(M_n)_{n in mathbb{N}}$ and stopping time $tau$ such that $tau<infty$ almost surely and $mathbb{E}(tau)=infty$



        Other




        • stochastic process $(M_n)_n$ which satisfies $mathbb{E}(M_{n+1} mid M_n) = M_n$ for all $n$ but which is not a martingale


        • martingale which is not bounded in $L^1$








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        edited Nov 26 at 20:34

























        answered Oct 28 at 8:20









        saz

        77.8k756120




        77.8k756120






























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