How to find mean of random process with no limits given?

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I've got a quick question. I've been set this question:

Random Processes question

To find the mean, cov, var I guess you consider them as two separate RP's so:

$$E(Y(t)) = \int \cos(\omega t+\psi)p_1(\psi)\,d\psi + \int \sin(\omega t+\gamma)p_1(\gamma)\,d\gamma$$

However I don't have any limits to work with so I'm unsure what I should be doing. Am I supposed to find limits from the conditions - if so, how? Thanks.

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$\newcommand{\E}{\operatorname{E}}$I will assume that by $\overline{\cos\gamma}$ you mean the expected value of $\cos\gamma$ and I will denote that by $\E(\cos\gamma)$. Then \begin{align} & \E(\cos(\omega t + \psi) + \sin(\omega t + \gamma)) \\[8pt] = {} & \cos(\omega t)\E(\cos\psi) + \sin(\omega t)\E(\sin\psi) + \sin(\omega t)\E(\cos\gamma) + \cos(\omega t)\E(\sin\gamma). \end{align} This holds because $\omega t$, and hence all functions of $\omega t$ are constant, i.e. not random. If you need something like $\operatorname{cov}(Y(t),Y(s))$ you can similarly apply standard trigonometric identities.