Probability Density Function of Exponential Distribution
Theorem
Let $X$ be a continuous random variable with the exponential distribution with parameter $\beta$.
Then the probability density function of $X$ is given by:
- $\map {f_X} x = \begin{cases} \dfrac 1 \beta e^{-\frac x \beta} & : x \ge 0 \\ 0 & : \text{otherwise} \end{cases}$
Proof
By definition of exponential distribution:
- $\map {F_X} \Omega = \R_{\ge 0}$
- $\map \Pr {X < x} = 1 - e^{-\frac x \beta}$
where $0 < \beta$.
By definition of probability density function:
- $\forall x \in \R: \map {f_X} x = \begin {cases} \map {F_X'} x & : x \in \Sigma \\ 0 & : x \notin \Sigma \end {cases}$
where $\map {F_X'} x$ denotes the derivative of $F_X$ at $x$.
Then:
| \(\ds f_X\) | \(=\) | \(\ds \map {\dfrac \d {\d x} } {1 - e^{-\frac x \beta} }\) | ||||||||||||
| \(\ds \) | \(=\) | \(\ds \dfrac 1 \beta e^{-\frac x \beta}\) |
Hence the result.
Sources
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): exponential distribution
- 1998: David Nelson: The Penguin Dictionary of Mathematics (2nd ed.) ... (previous) ... (next): frequency function
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): exponential distribution
- 2008: David Nelson: The Penguin Dictionary of Mathematics (4th ed.) ... (previous) ... (next): frequency function
- 2014: Christopher Clapham and James Nicholson: The Concise Oxford Dictionary of Mathematics (5th ed.) ... (previous) ... (next): Appendix $13$: Probability distributions
- 2021: Richard Earl and James Nicholson: The Concise Oxford Dictionary of Mathematics (6th ed.) ... (previous) ... (next): Appendix $15$: Probability distributions