Question
Suppose X has the density function
Find its moment generating function whenever it exists.
Answer :
Word Count : 371
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To find the moment generating function (MGF) of the given probability density function (PDF) for \( X \), we start by recalling that the moment generating function is defined as: \[ M_X(t) = \mathbb{E}[e^{tX}] = \int_{-\infty}^{\infty} e^{tx} f(x) \, dx \] Given the PDF: \[ f(x) = \begin{cases} x e^{-x}, & x > 0 \\ 0, & \text{otherwise} \end{cases} \] We need to compute the MGF for \( t \), where \( t \) is any real number. Since the density is defined for \( x > 0 \), the integral reduces to: \[ M_X(t) = \int_{0}^{\infty} e^{tx} x e^{-x} \, dx \] This simplifies to: \[ M_X(t) = \int_{0}^{\infty} x e^{(t - 1)x} \, dx \] For the integral to converge, we require \( t - 1 < 0 \), or equivalently \( t < 1
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