Expected value of $sin(x)$












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I have a uniformly distributed random variable $ omega $ in the range $[fracpi2, fracpi{-2}]$. Then I have the function $ s = sin(omega) $ I want to calculate the expected value of this function $ s $.



So far I know that the uniformly distributed random variable can be written as $$ omega = frac1{fracpi2 - - fracpi2} = frac 1pi $$



Then I don't know if the correct way of calculating the expected value is $$ E = int_{-fracpi2}^{fracpi2} frac1pi sin(x) dx $$
or if I'm completely off.










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  • $begingroup$
    By antisymmetry, $0$.
    $endgroup$
    – Yves Daoust
    Jan 28 at 9:25


















0












$begingroup$


I have a uniformly distributed random variable $ omega $ in the range $[fracpi2, fracpi{-2}]$. Then I have the function $ s = sin(omega) $ I want to calculate the expected value of this function $ s $.



So far I know that the uniformly distributed random variable can be written as $$ omega = frac1{fracpi2 - - fracpi2} = frac 1pi $$



Then I don't know if the correct way of calculating the expected value is $$ E = int_{-fracpi2}^{fracpi2} frac1pi sin(x) dx $$
or if I'm completely off.










share|cite|improve this question











$endgroup$












  • $begingroup$
    By antisymmetry, $0$.
    $endgroup$
    – Yves Daoust
    Jan 28 at 9:25
















0












0








0





$begingroup$


I have a uniformly distributed random variable $ omega $ in the range $[fracpi2, fracpi{-2}]$. Then I have the function $ s = sin(omega) $ I want to calculate the expected value of this function $ s $.



So far I know that the uniformly distributed random variable can be written as $$ omega = frac1{fracpi2 - - fracpi2} = frac 1pi $$



Then I don't know if the correct way of calculating the expected value is $$ E = int_{-fracpi2}^{fracpi2} frac1pi sin(x) dx $$
or if I'm completely off.










share|cite|improve this question











$endgroup$




I have a uniformly distributed random variable $ omega $ in the range $[fracpi2, fracpi{-2}]$. Then I have the function $ s = sin(omega) $ I want to calculate the expected value of this function $ s $.



So far I know that the uniformly distributed random variable can be written as $$ omega = frac1{fracpi2 - - fracpi2} = frac 1pi $$



Then I don't know if the correct way of calculating the expected value is $$ E = int_{-fracpi2}^{fracpi2} frac1pi sin(x) dx $$
or if I'm completely off.







probability statistics expected-value






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edited Jan 28 at 10:16









Jneven

951322




951322










asked Jan 28 at 9:22









Michaela HMichaela H

104




104












  • $begingroup$
    By antisymmetry, $0$.
    $endgroup$
    – Yves Daoust
    Jan 28 at 9:25




















  • $begingroup$
    By antisymmetry, $0$.
    $endgroup$
    – Yves Daoust
    Jan 28 at 9:25


















$begingroup$
By antisymmetry, $0$.
$endgroup$
– Yves Daoust
Jan 28 at 9:25






$begingroup$
By antisymmetry, $0$.
$endgroup$
– Yves Daoust
Jan 28 at 9:25












2 Answers
2






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$begingroup$

Your working seems fine.



And by the fact that sine is an odd function and $omega$ is uniformly distributed symmetrically about $0$, the integral is evaluated to be $0$.






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    0












    $begingroup$

    The expected value of any random variable $s(omega)$ where $omega$ is having the probability distribution function $f(omega)$ is given by:



    $$ E(s(omega)) = int_{-infty}^{infty} s(omega)f(omega)domega$$
    since $omega$ is distributed uniformly in the interval $[-pi/2,pi/2]$ we have $$f(omega) = frac{1}{(pi/2-(-pi/2))} = frac{1}{pi}$$
    Now, $$E(s(omega))=int_{-infty}^{infty} sin(omega)f(omega)domega$$
    or, $$E(s(omega))=int_{-infty}^{infty} sin(omega)frac{1}{pi}domega$$
    The limits for $omega$ is from $[-pi/2,pi/2]$ so the integral is
    $$E(s(omega))=int_{-pi/2}^{pi/2} sin(omega)frac{1}{pi}domega$$
    The answer of this integral is $0$






    share|cite|improve this answer









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      2 Answers
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      2 Answers
      2






      active

      oldest

      votes









      active

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      active

      oldest

      votes









      0












      $begingroup$

      Your working seems fine.



      And by the fact that sine is an odd function and $omega$ is uniformly distributed symmetrically about $0$, the integral is evaluated to be $0$.






      share|cite|improve this answer









      $endgroup$


















        0












        $begingroup$

        Your working seems fine.



        And by the fact that sine is an odd function and $omega$ is uniformly distributed symmetrically about $0$, the integral is evaluated to be $0$.






        share|cite|improve this answer









        $endgroup$
















          0












          0








          0





          $begingroup$

          Your working seems fine.



          And by the fact that sine is an odd function and $omega$ is uniformly distributed symmetrically about $0$, the integral is evaluated to be $0$.






          share|cite|improve this answer









          $endgroup$



          Your working seems fine.



          And by the fact that sine is an odd function and $omega$ is uniformly distributed symmetrically about $0$, the integral is evaluated to be $0$.







          share|cite|improve this answer












          share|cite|improve this answer



          share|cite|improve this answer










          answered Jan 28 at 9:25









          Siong Thye GohSiong Thye Goh

          103k1468119




          103k1468119























              0












              $begingroup$

              The expected value of any random variable $s(omega)$ where $omega$ is having the probability distribution function $f(omega)$ is given by:



              $$ E(s(omega)) = int_{-infty}^{infty} s(omega)f(omega)domega$$
              since $omega$ is distributed uniformly in the interval $[-pi/2,pi/2]$ we have $$f(omega) = frac{1}{(pi/2-(-pi/2))} = frac{1}{pi}$$
              Now, $$E(s(omega))=int_{-infty}^{infty} sin(omega)f(omega)domega$$
              or, $$E(s(omega))=int_{-infty}^{infty} sin(omega)frac{1}{pi}domega$$
              The limits for $omega$ is from $[-pi/2,pi/2]$ so the integral is
              $$E(s(omega))=int_{-pi/2}^{pi/2} sin(omega)frac{1}{pi}domega$$
              The answer of this integral is $0$






              share|cite|improve this answer









              $endgroup$


















                0












                $begingroup$

                The expected value of any random variable $s(omega)$ where $omega$ is having the probability distribution function $f(omega)$ is given by:



                $$ E(s(omega)) = int_{-infty}^{infty} s(omega)f(omega)domega$$
                since $omega$ is distributed uniformly in the interval $[-pi/2,pi/2]$ we have $$f(omega) = frac{1}{(pi/2-(-pi/2))} = frac{1}{pi}$$
                Now, $$E(s(omega))=int_{-infty}^{infty} sin(omega)f(omega)domega$$
                or, $$E(s(omega))=int_{-infty}^{infty} sin(omega)frac{1}{pi}domega$$
                The limits for $omega$ is from $[-pi/2,pi/2]$ so the integral is
                $$E(s(omega))=int_{-pi/2}^{pi/2} sin(omega)frac{1}{pi}domega$$
                The answer of this integral is $0$






                share|cite|improve this answer









                $endgroup$
















                  0












                  0








                  0





                  $begingroup$

                  The expected value of any random variable $s(omega)$ where $omega$ is having the probability distribution function $f(omega)$ is given by:



                  $$ E(s(omega)) = int_{-infty}^{infty} s(omega)f(omega)domega$$
                  since $omega$ is distributed uniformly in the interval $[-pi/2,pi/2]$ we have $$f(omega) = frac{1}{(pi/2-(-pi/2))} = frac{1}{pi}$$
                  Now, $$E(s(omega))=int_{-infty}^{infty} sin(omega)f(omega)domega$$
                  or, $$E(s(omega))=int_{-infty}^{infty} sin(omega)frac{1}{pi}domega$$
                  The limits for $omega$ is from $[-pi/2,pi/2]$ so the integral is
                  $$E(s(omega))=int_{-pi/2}^{pi/2} sin(omega)frac{1}{pi}domega$$
                  The answer of this integral is $0$






                  share|cite|improve this answer









                  $endgroup$



                  The expected value of any random variable $s(omega)$ where $omega$ is having the probability distribution function $f(omega)$ is given by:



                  $$ E(s(omega)) = int_{-infty}^{infty} s(omega)f(omega)domega$$
                  since $omega$ is distributed uniformly in the interval $[-pi/2,pi/2]$ we have $$f(omega) = frac{1}{(pi/2-(-pi/2))} = frac{1}{pi}$$
                  Now, $$E(s(omega))=int_{-infty}^{infty} sin(omega)f(omega)domega$$
                  or, $$E(s(omega))=int_{-infty}^{infty} sin(omega)frac{1}{pi}domega$$
                  The limits for $omega$ is from $[-pi/2,pi/2]$ so the integral is
                  $$E(s(omega))=int_{-pi/2}^{pi/2} sin(omega)frac{1}{pi}domega$$
                  The answer of this integral is $0$







                  share|cite|improve this answer












                  share|cite|improve this answer



                  share|cite|improve this answer










                  answered Jan 28 at 10:08









                  SNEHIL SANYALSNEHIL SANYAL

                  654110




                  654110






























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