Question for covariance stationary process












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Given a random variable Y with characteristic function
C(w) = E[exp(iwy)] . Let the random process X(t) be defined as X(t)=cos(wt+y). Show that the process X(t) is covariance stationary if C(1)-C(2)=0.
I have tried expanding the characteristic function in the trigonometric form and using the result to prove stationarity but I'm still unable to solve it. Any hint will be helpful.










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    $begingroup$


    Given a random variable Y with characteristic function
    C(w) = E[exp(iwy)] . Let the random process X(t) be defined as X(t)=cos(wt+y). Show that the process X(t) is covariance stationary if C(1)-C(2)=0.
    I have tried expanding the characteristic function in the trigonometric form and using the result to prove stationarity but I'm still unable to solve it. Any hint will be helpful.










    share|cite|improve this question









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      0












      0








      0





      $begingroup$


      Given a random variable Y with characteristic function
      C(w) = E[exp(iwy)] . Let the random process X(t) be defined as X(t)=cos(wt+y). Show that the process X(t) is covariance stationary if C(1)-C(2)=0.
      I have tried expanding the characteristic function in the trigonometric form and using the result to prove stationarity but I'm still unable to solve it. Any hint will be helpful.










      share|cite|improve this question









      $endgroup$




      Given a random variable Y with characteristic function
      C(w) = E[exp(iwy)] . Let the random process X(t) be defined as X(t)=cos(wt+y). Show that the process X(t) is covariance stationary if C(1)-C(2)=0.
      I have tried expanding the characteristic function in the trigonometric form and using the result to prove stationarity but I'm still unable to solve it. Any hint will be helpful.







      stochastic-processes covariance stationary-processes






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      asked Jan 12 at 18:57









      Kc17Kc17

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      346






















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          $begingroup$

          Hint



          $$E[X(t)]{=E[cos(wt+y)]\=Eleft[{e^{iwt+iy}+e^{-iwt-iy}over 2}right]\=text{const}}$$and$$E[X(t_1)X(t_2)]{=E[cos(wt_2+y)cos(wt_1+y)]\={1over 2}E[cos(w(t_2-t_1))]\+{1over2}E[cos (wt_1+wt_2+2y)]}$$since $E[X(t_1)X(t_2)]$ must be a function of $t_1-t_2$ so $E[cos (wt_1+wt_2+2y)]=0$. The rest is easy.






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            $begingroup$

            Hint



            $$E[X(t)]{=E[cos(wt+y)]\=Eleft[{e^{iwt+iy}+e^{-iwt-iy}over 2}right]\=text{const}}$$and$$E[X(t_1)X(t_2)]{=E[cos(wt_2+y)cos(wt_1+y)]\={1over 2}E[cos(w(t_2-t_1))]\+{1over2}E[cos (wt_1+wt_2+2y)]}$$since $E[X(t_1)X(t_2)]$ must be a function of $t_1-t_2$ so $E[cos (wt_1+wt_2+2y)]=0$. The rest is easy.






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              1












              $begingroup$

              Hint



              $$E[X(t)]{=E[cos(wt+y)]\=Eleft[{e^{iwt+iy}+e^{-iwt-iy}over 2}right]\=text{const}}$$and$$E[X(t_1)X(t_2)]{=E[cos(wt_2+y)cos(wt_1+y)]\={1over 2}E[cos(w(t_2-t_1))]\+{1over2}E[cos (wt_1+wt_2+2y)]}$$since $E[X(t_1)X(t_2)]$ must be a function of $t_1-t_2$ so $E[cos (wt_1+wt_2+2y)]=0$. The rest is easy.






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                1








                1





                $begingroup$

                Hint



                $$E[X(t)]{=E[cos(wt+y)]\=Eleft[{e^{iwt+iy}+e^{-iwt-iy}over 2}right]\=text{const}}$$and$$E[X(t_1)X(t_2)]{=E[cos(wt_2+y)cos(wt_1+y)]\={1over 2}E[cos(w(t_2-t_1))]\+{1over2}E[cos (wt_1+wt_2+2y)]}$$since $E[X(t_1)X(t_2)]$ must be a function of $t_1-t_2$ so $E[cos (wt_1+wt_2+2y)]=0$. The rest is easy.






                share|cite|improve this answer









                $endgroup$



                Hint



                $$E[X(t)]{=E[cos(wt+y)]\=Eleft[{e^{iwt+iy}+e^{-iwt-iy}over 2}right]\=text{const}}$$and$$E[X(t_1)X(t_2)]{=E[cos(wt_2+y)cos(wt_1+y)]\={1over 2}E[cos(w(t_2-t_1))]\+{1over2}E[cos (wt_1+wt_2+2y)]}$$since $E[X(t_1)X(t_2)]$ must be a function of $t_1-t_2$ so $E[cos (wt_1+wt_2+2y)]=0$. The rest is easy.







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                answered Jan 12 at 19:07









                Mostafa AyazMostafa Ayaz

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                15.3k3939






























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