Exponential Distribution

The exponential distribution is a non-negative continuous probability distribution function.


Description

The distribution is parameterized to a strictly positive rate. A random variable distributed by this function is expressed as X ~ Exp(λ).

The distribution is given by exp.svg for any x ∈ [0,,∞).

The exponential distribution is equivalent to a gamma distribution parameterized for shape and rate (θ): Exp(λ) = Gamma(1, λ).


Moments

The expected value is given as E[X] = 1/λ. The derivation is:

exp1.svg

Integrate by parts with u = x and dv = λe-λx dx.

exp2.svg

The first part of the RHS is an infinite limit that evaluates as indeterminate, but applying L'Hôpital's Rule reveals it to be 0.

exp3.svg

exp4.svg

Therefore the problem reduced back to a single integral.

exp5.svg

This is now also an infinite limit.

exp6.svg

This rewritten limit is clearly 0 - 1 = -1, leaving E[X] = 1/λ.

Variance is given as Var[X] = 1/(λ2).


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Analysis/ExponentialDistribution (last edited 2026-07-30 23:17:27 by DominicRicottone)