Proof of a.s. uniqueness of probability convergence limit [closed]












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Prove that the limit of a random variable sequence (converges in probability) is almost surely uniuque.



Let $X, Y$ random variables and let a random variable sequence $(X_n)_n$ such that $X_n$ converges in probability to $X$ and $X_n$ converges in probability to $Y$ (i.e. $X_n overset{P}{rightarrow} X, X_noverset{P}{rightarrow} Y$). Prove that $mathbb{P}(X=Y)=1$.










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closed as off-topic by Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser Jan 5 at 0:23


This question appears to be off-topic. The users who voted to close gave this specific reason:


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If this question can be reworded to fit the rules in the help center, please edit the question.


















    1














    Prove that the limit of a random variable sequence (converges in probability) is almost surely uniuque.



    Let $X, Y$ random variables and let a random variable sequence $(X_n)_n$ such that $X_n$ converges in probability to $X$ and $X_n$ converges in probability to $Y$ (i.e. $X_n overset{P}{rightarrow} X, X_noverset{P}{rightarrow} Y$). Prove that $mathbb{P}(X=Y)=1$.










    share|cite|improve this question















    closed as off-topic by Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser Jan 5 at 0:23


    This question appears to be off-topic. The users who voted to close gave this specific reason:


    • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser

    If this question can be reworded to fit the rules in the help center, please edit the question.
















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      Prove that the limit of a random variable sequence (converges in probability) is almost surely uniuque.



      Let $X, Y$ random variables and let a random variable sequence $(X_n)_n$ such that $X_n$ converges in probability to $X$ and $X_n$ converges in probability to $Y$ (i.e. $X_n overset{P}{rightarrow} X, X_noverset{P}{rightarrow} Y$). Prove that $mathbb{P}(X=Y)=1$.










      share|cite|improve this question















      Prove that the limit of a random variable sequence (converges in probability) is almost surely uniuque.



      Let $X, Y$ random variables and let a random variable sequence $(X_n)_n$ such that $X_n$ converges in probability to $X$ and $X_n$ converges in probability to $Y$ (i.e. $X_n overset{P}{rightarrow} X, X_noverset{P}{rightarrow} Y$). Prove that $mathbb{P}(X=Y)=1$.







      probability limits proof-verification






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      edited Jan 5 at 11:02







      J. Doe

















      asked Jan 4 at 19:07









      J. DoeJ. Doe

      1286




      1286




      closed as off-topic by Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser Jan 5 at 0:23


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser

      If this question can be reworded to fit the rules in the help center, please edit the question.




      closed as off-topic by Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser Jan 5 at 0:23


      This question appears to be off-topic. The users who voted to close gave this specific reason:


      • "This question is missing context or other details: Please provide additional context, which ideally explains why the question is relevant to you and our community. Some forms of context include: background and motivation, relevant definitions, source, possible strategies, your current progress, why the question is interesting or important, etc." – Davide Giraudo, amWhy, Lee David Chung Lin, jgon, KReiser

      If this question can be reworded to fit the rules in the help center, please edit the question.






















          1 Answer
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          Let $varepsilon>0$. Let $omegainOmega$ (if there exists such $omega$) such that $|X^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus, for all $ninmathbb{N}$, definitely $|X^{-1}(omega)-X_n^{-1}(omega)|>varepsilon$ or $|X_n^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus,
          $$
          \ {|X-Y|>varepsilon}subseteq({|X_n-X|> {varepsilonover 3}}cup{|X_n-Y|>{varepsilonover 3}})
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>{1over n})leqmathbb{P}(|X_n-X|>{varepsilonover 3}cup|X_n-Y|leq{varepsilonover 3})
          \ leqmathbb{P}(|X_n-X|>{varepsilonover 3})+mathbb{P}(|X_n-Y|>{varepsilonover 3})underset{ntoinfty}{rightarrow} 0
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>0)=0Rightarrow mathbb{P}(X=Y)=1
          $$






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          • 1




            yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
            – Lost1
            Jan 4 at 23:58




















          1 Answer
          1






          active

          oldest

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          1 Answer
          1






          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes









          1














          Let $varepsilon>0$. Let $omegainOmega$ (if there exists such $omega$) such that $|X^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus, for all $ninmathbb{N}$, definitely $|X^{-1}(omega)-X_n^{-1}(omega)|>varepsilon$ or $|X_n^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus,
          $$
          \ {|X-Y|>varepsilon}subseteq({|X_n-X|> {varepsilonover 3}}cup{|X_n-Y|>{varepsilonover 3}})
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>{1over n})leqmathbb{P}(|X_n-X|>{varepsilonover 3}cup|X_n-Y|leq{varepsilonover 3})
          \ leqmathbb{P}(|X_n-X|>{varepsilonover 3})+mathbb{P}(|X_n-Y|>{varepsilonover 3})underset{ntoinfty}{rightarrow} 0
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>0)=0Rightarrow mathbb{P}(X=Y)=1
          $$






          share|cite|improve this answer

















          • 1




            yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
            – Lost1
            Jan 4 at 23:58


















          1














          Let $varepsilon>0$. Let $omegainOmega$ (if there exists such $omega$) such that $|X^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus, for all $ninmathbb{N}$, definitely $|X^{-1}(omega)-X_n^{-1}(omega)|>varepsilon$ or $|X_n^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus,
          $$
          \ {|X-Y|>varepsilon}subseteq({|X_n-X|> {varepsilonover 3}}cup{|X_n-Y|>{varepsilonover 3}})
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>{1over n})leqmathbb{P}(|X_n-X|>{varepsilonover 3}cup|X_n-Y|leq{varepsilonover 3})
          \ leqmathbb{P}(|X_n-X|>{varepsilonover 3})+mathbb{P}(|X_n-Y|>{varepsilonover 3})underset{ntoinfty}{rightarrow} 0
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>0)=0Rightarrow mathbb{P}(X=Y)=1
          $$






          share|cite|improve this answer

















          • 1




            yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
            – Lost1
            Jan 4 at 23:58
















          1












          1








          1






          Let $varepsilon>0$. Let $omegainOmega$ (if there exists such $omega$) such that $|X^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus, for all $ninmathbb{N}$, definitely $|X^{-1}(omega)-X_n^{-1}(omega)|>varepsilon$ or $|X_n^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus,
          $$
          \ {|X-Y|>varepsilon}subseteq({|X_n-X|> {varepsilonover 3}}cup{|X_n-Y|>{varepsilonover 3}})
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>{1over n})leqmathbb{P}(|X_n-X|>{varepsilonover 3}cup|X_n-Y|leq{varepsilonover 3})
          \ leqmathbb{P}(|X_n-X|>{varepsilonover 3})+mathbb{P}(|X_n-Y|>{varepsilonover 3})underset{ntoinfty}{rightarrow} 0
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>0)=0Rightarrow mathbb{P}(X=Y)=1
          $$






          share|cite|improve this answer












          Let $varepsilon>0$. Let $omegainOmega$ (if there exists such $omega$) such that $|X^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus, for all $ninmathbb{N}$, definitely $|X^{-1}(omega)-X_n^{-1}(omega)|>varepsilon$ or $|X_n^{-1}(omega)-Y^{-1}(omega)|>varepsilon$. Thus,
          $$
          \ {|X-Y|>varepsilon}subseteq({|X_n-X|> {varepsilonover 3}}cup{|X_n-Y|>{varepsilonover 3}})
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>{1over n})leqmathbb{P}(|X_n-X|>{varepsilonover 3}cup|X_n-Y|leq{varepsilonover 3})
          \ leqmathbb{P}(|X_n-X|>{varepsilonover 3})+mathbb{P}(|X_n-Y|>{varepsilonover 3})underset{ntoinfty}{rightarrow} 0
          $$

          Thus,
          $$
          \ mathbb{P}(|X-Y|>0)=0Rightarrow mathbb{P}(X=Y)=1
          $$







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 4 at 19:07









          J. DoeJ. Doe

          1286




          1286








          • 1




            yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
            – Lost1
            Jan 4 at 23:58
















          • 1




            yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
            – Lost1
            Jan 4 at 23:58










          1




          1




          yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
          – Lost1
          Jan 4 at 23:58






          yes, as with many standard uniqueness proofs, it is the triangle inequality... this proof is correct
          – Lost1
          Jan 4 at 23:58





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