Basics of moment generating functions

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SUMMARY

The discussion focuses on the calculation of the moment generating function (MGF) for the probability density function \( f_X(x) = e^{-x} \) for \( x > 0 \). The moment generating function is defined as \( m_X(u) = E(e^{uX}) \), and the user attempts to derive it using integration. The correct approach involves evaluating the integral \( \int_{0}^{\infty} e^{ux} e^{-x} dx \), which simplifies to \( \int_{0}^{\infty} e^{x(u-1)} dx \). The user also notes the importance of understanding the expectation derived from the MGF.

PREREQUISITES
  • Understanding of moment generating functions (MGFs)
  • Familiarity with probability density functions (PDFs)
  • Knowledge of integration techniques in calculus
  • Basic concepts of expected value in probability theory
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  • Study the derivation of moment generating functions in detail
  • Learn about the properties and applications of moment generating functions
  • Explore integration techniques for evaluating complex integrals
  • Review the relationship between moment generating functions and expected values
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Students studying probability theory, statisticians, and anyone interested in understanding moment generating functions and their applications in probability distributions.

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I missed my class that introduced us to moment generating functions, and my notes are missing some pretty essential parts to helping me understand them, so here it is:


Homework Statement



Find the moment generating function of [itex]f_X(x)=e^{-x}, x>0[/itex]



Homework Equations



[tex]E(X^R)=\int_{-\infty}^{\infty}X^Rf_X(x)dx[/tex]

R must be a natural number I believe.

[tex]m_X(u) = E(e^{uX})[/tex]



The Attempt at a Solution



I'm unsure if the expectation is applied in the same way, in other words, would this be correct?

[tex]m_X(u) = E(e^{ux})[/tex]

[tex]= \int_{-\infty}^{\infty}e^{uX}f_X(x)dx[/tex]

[tex]= \int_{0}^{\infty}e^{ux}e^{-x}dx[/tex]

[tex]= \int_{0}^{\infty}e^{x(u-1)}dx[/tex]

And I'm not quite sure what the u in this case is either.
 
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Oh awesome, thanks vela.

I can also see that the expectation can be found quite easily after deriving the moment generating function, which is good because I'll be needing it :smile:
 

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