Advanced Probability Theory: Understanding Notation for Sequences of Random Variables











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Let ${X_n}$ be a sequence of random variables, X a random variable, and let ${X_n} rightarrow X$ a.e.



Let $A_m(epsilon)$ be the event:



$A_m(epsilon) = bigcap_{n=m}^{infty} {|X_n-X| <epsilon}$



I see this type of notation alot, and I am a bit confused. Can we think of ${|X_n-X| <epsilon}$ as the sequence ${|X_n-X|: |X_n-X| <epsilon}$, which is the collection of random variables $|X_n-X|$ such that $|X_n-X|<epsilon $ for all $omega in Omega$.



Let me know. Help with advanced probability theory notation is greatly appreciated.










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  • ${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
    – littleO
    Nov 18 at 3:44










  • It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
    – kpr62
    Nov 18 at 3:49












  • Yes, that's correct.
    – littleO
    Nov 18 at 3:56















up vote
1
down vote

favorite












Let ${X_n}$ be a sequence of random variables, X a random variable, and let ${X_n} rightarrow X$ a.e.



Let $A_m(epsilon)$ be the event:



$A_m(epsilon) = bigcap_{n=m}^{infty} {|X_n-X| <epsilon}$



I see this type of notation alot, and I am a bit confused. Can we think of ${|X_n-X| <epsilon}$ as the sequence ${|X_n-X|: |X_n-X| <epsilon}$, which is the collection of random variables $|X_n-X|$ such that $|X_n-X|<epsilon $ for all $omega in Omega$.



Let me know. Help with advanced probability theory notation is greatly appreciated.










share|cite|improve this question
























  • ${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
    – littleO
    Nov 18 at 3:44










  • It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
    – kpr62
    Nov 18 at 3:49












  • Yes, that's correct.
    – littleO
    Nov 18 at 3:56













up vote
1
down vote

favorite









up vote
1
down vote

favorite











Let ${X_n}$ be a sequence of random variables, X a random variable, and let ${X_n} rightarrow X$ a.e.



Let $A_m(epsilon)$ be the event:



$A_m(epsilon) = bigcap_{n=m}^{infty} {|X_n-X| <epsilon}$



I see this type of notation alot, and I am a bit confused. Can we think of ${|X_n-X| <epsilon}$ as the sequence ${|X_n-X|: |X_n-X| <epsilon}$, which is the collection of random variables $|X_n-X|$ such that $|X_n-X|<epsilon $ for all $omega in Omega$.



Let me know. Help with advanced probability theory notation is greatly appreciated.










share|cite|improve this question















Let ${X_n}$ be a sequence of random variables, X a random variable, and let ${X_n} rightarrow X$ a.e.



Let $A_m(epsilon)$ be the event:



$A_m(epsilon) = bigcap_{n=m}^{infty} {|X_n-X| <epsilon}$



I see this type of notation alot, and I am a bit confused. Can we think of ${|X_n-X| <epsilon}$ as the sequence ${|X_n-X|: |X_n-X| <epsilon}$, which is the collection of random variables $|X_n-X|$ such that $|X_n-X|<epsilon $ for all $omega in Omega$.



Let me know. Help with advanced probability theory notation is greatly appreciated.







sequences-and-series probability-theory random-variables






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edited Nov 18 at 3:38

























asked Nov 18 at 1:50









kpr62

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  • ${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
    – littleO
    Nov 18 at 3:44










  • It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
    – kpr62
    Nov 18 at 3:49












  • Yes, that's correct.
    – littleO
    Nov 18 at 3:56


















  • ${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
    – littleO
    Nov 18 at 3:44










  • It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
    – kpr62
    Nov 18 at 3:49












  • Yes, that's correct.
    – littleO
    Nov 18 at 3:56
















${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
– littleO
Nov 18 at 3:44




${ |X_n - X | < epsilon }$ is the event that $X_n$ is within $epsilon$ of $X$. It is a subset of the sample space.
– littleO
Nov 18 at 3:44












It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
– kpr62
Nov 18 at 3:49






It was suggested by another source that I think of it as ${omega: |X_n (omega)-X(omega)|< epsilon, omega in Omega }$. If this incorrect, or if someone has a better more detailed example, please post :)
– kpr62
Nov 18 at 3:49














Yes, that's correct.
– littleO
Nov 18 at 3:56




Yes, that's correct.
– littleO
Nov 18 at 3:56















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