Moment Generating Function of Bernoulli Distribution
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Theorem
Let $X$ be a discrete random variable with a Bernoulli distribution with parameter $p$ for some $0 \le p \le 1$.
Then the moment generating function $M_X$ of $X$ is given by:
- $\map {M_X} t = q + p e^t$
where $q = 1 - p$.
Proof
From the definition of the Bernoulli distribution, $X$ has probability mass function:
- $\map \Pr {X = n} = \begin{cases}
q & : n = 0 \\ p & : n = 1 \\ 0 & : n \notin \set {0, 1} \\ \end{cases}$
From the definition of a moment generating function:
- $\ds \map {M_X} t = \expect {e^{t X} } = \sum_{n \mathop = 0}^1 \map \Pr {X = n} e^{t n}$
So:
\(\ds \map {M_X} t\) | \(=\) | \(\ds \map \Pr {X = 0} e^0 + \map \Pr {X = 1} e^t\) | ||||||||||||
\(\ds \) | \(=\) | \(\ds q + p e^t\) | Exponential of Zero |
$\blacksquare$