mean and covariance of a random process











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I'm looking at an example from a book I'm reading,



How does it formulate the mean?
I am thinking $$E[X[n]] = sumlimits^infty_{-infty} X[n]P[X[n]] =\
sumlimits^infty_{n=-infty} X[n = even] frac{1}{2} + X[n = even] frac{1}{2} + X[n = odd] frac{9}{10} + X[n = odd] frac{1}{10} \
= sumlimits^infty_{-infty} frac{1}{2}-frac{1}{2}+frac{1}{3}frac{9}{10}-3frac{1}{10} = 0$$

Does this formulation look right? I'm confused when X[n] can be probabilistically assigned values.










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  • What does $X[n]$ mean? Did you mean $X_n$?
    – Will M.
    Nov 19 at 6:08










  • @WillM. Yes, I think that makes it easier to write.
    – user14042
    Nov 19 at 6:10






  • 1




    The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
    – Will M.
    Nov 19 at 6:13










  • It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
    – Will M.
    Nov 19 at 6:14






  • 1




    Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
    – Will M.
    Nov 19 at 6:24















up vote
0
down vote

favorite












I'm looking at an example from a book I'm reading,



How does it formulate the mean?
I am thinking $$E[X[n]] = sumlimits^infty_{-infty} X[n]P[X[n]] =\
sumlimits^infty_{n=-infty} X[n = even] frac{1}{2} + X[n = even] frac{1}{2} + X[n = odd] frac{9}{10} + X[n = odd] frac{1}{10} \
= sumlimits^infty_{-infty} frac{1}{2}-frac{1}{2}+frac{1}{3}frac{9}{10}-3frac{1}{10} = 0$$

Does this formulation look right? I'm confused when X[n] can be probabilistically assigned values.










share|cite|improve this question






















  • What does $X[n]$ mean? Did you mean $X_n$?
    – Will M.
    Nov 19 at 6:08










  • @WillM. Yes, I think that makes it easier to write.
    – user14042
    Nov 19 at 6:10






  • 1




    The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
    – Will M.
    Nov 19 at 6:13










  • It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
    – Will M.
    Nov 19 at 6:14






  • 1




    Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
    – Will M.
    Nov 19 at 6:24













up vote
0
down vote

favorite









up vote
0
down vote

favorite











I'm looking at an example from a book I'm reading,



How does it formulate the mean?
I am thinking $$E[X[n]] = sumlimits^infty_{-infty} X[n]P[X[n]] =\
sumlimits^infty_{n=-infty} X[n = even] frac{1}{2} + X[n = even] frac{1}{2} + X[n = odd] frac{9}{10} + X[n = odd] frac{1}{10} \
= sumlimits^infty_{-infty} frac{1}{2}-frac{1}{2}+frac{1}{3}frac{9}{10}-3frac{1}{10} = 0$$

Does this formulation look right? I'm confused when X[n] can be probabilistically assigned values.










share|cite|improve this question













I'm looking at an example from a book I'm reading,



How does it formulate the mean?
I am thinking $$E[X[n]] = sumlimits^infty_{-infty} X[n]P[X[n]] =\
sumlimits^infty_{n=-infty} X[n = even] frac{1}{2} + X[n = even] frac{1}{2} + X[n = odd] frac{9}{10} + X[n = odd] frac{1}{10} \
= sumlimits^infty_{-infty} frac{1}{2}-frac{1}{2}+frac{1}{3}frac{9}{10}-3frac{1}{10} = 0$$

Does this formulation look right? I'm confused when X[n] can be probabilistically assigned values.







random-variables random-walk






share|cite|improve this question













share|cite|improve this question











share|cite|improve this question




share|cite|improve this question










asked Nov 19 at 6:01









user14042

1107




1107












  • What does $X[n]$ mean? Did you mean $X_n$?
    – Will M.
    Nov 19 at 6:08










  • @WillM. Yes, I think that makes it easier to write.
    – user14042
    Nov 19 at 6:10






  • 1




    The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
    – Will M.
    Nov 19 at 6:13










  • It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
    – Will M.
    Nov 19 at 6:14






  • 1




    Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
    – Will M.
    Nov 19 at 6:24


















  • What does $X[n]$ mean? Did you mean $X_n$?
    – Will M.
    Nov 19 at 6:08










  • @WillM. Yes, I think that makes it easier to write.
    – user14042
    Nov 19 at 6:10






  • 1




    The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
    – Will M.
    Nov 19 at 6:13










  • It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
    – Will M.
    Nov 19 at 6:14






  • 1




    Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
    – Will M.
    Nov 19 at 6:24
















What does $X[n]$ mean? Did you mean $X_n$?
– Will M.
Nov 19 at 6:08




What does $X[n]$ mean? Did you mean $X_n$?
– Will M.
Nov 19 at 6:08












@WillM. Yes, I think that makes it easier to write.
– user14042
Nov 19 at 6:10




@WillM. Yes, I think that makes it easier to write.
– user14042
Nov 19 at 6:10




1




1




The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
– Will M.
Nov 19 at 6:13




The formulae you wrote does not make sense to me. $mathbf{E}(X_n)$ is clearly zero for $n$ even and it is $dfrac{1}{3} times dfrac{9}{10} - 3 times dfrac{1}{10} = 0$ for $n$ odd.
– Will M.
Nov 19 at 6:13












It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
– Will M.
Nov 19 at 6:14




It seems like you are thinking of $X$ as the random variable. That is not correct, $X_n$ is a random variable, $X$ is a "random sequence."
– Will M.
Nov 19 at 6:14




1




1




Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
– Will M.
Nov 19 at 6:24




Ok, stop using $X[k]$ because that IS confusing. For a random sequence $X$ we can define a function $m_X$ such that $m_X(n) = mathbf{E}(X_n).$
– Will M.
Nov 19 at 6:24















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