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Difference between revisions of "Exponential distribution"

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A continuous distribution of a random variable <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/e/e036/e036900/e0369001.png" /> defined by the density
 
A continuous distribution of a random variable <img align="absmiddle" border="0" src="https://www.encyclopediaofmath.org/legacyimages/e/e036/e036900/e0369001.png" /> defined by the density
  

Revision as of 13:45, 16 February 2012

2020 Mathematics Subject Classification: Primary: 60E99 [MSN][ZBL]

A continuous distribution of a random variable defined by the density

(1)

The density is dependent on the positive scale parameter . The formula for the moments is , and, in particular, the expectation equals and the variance equals ; the characteristic function is .

The exponential distribution belongs to the family of gamma-distributions (cf. Gamma-distribution) which are defined by the densities

the -fold convolution of the density (1) is equal to the gamma-density with the same parameter and with .

The exponential distribution is the unique distribution having the property of no after-effect: For any , one has

(2)

where is the conditional probability of the event subject to the condition . Property (2) is also called the lack-of-memory property.

In a homogeneous Poisson process, the distances between successive events have an exponential distribution. Conversely, a renewal process with exponential lifetime (1) is a Poisson process. An exponential distribution often arises as a limit process on the superposition or extension of renewal processes, as well as in high-level intersection problems in various random-path schemes, in critical branching processes, etc.

The above features explain why the exponential distribution is widely used in calculating various systems in queueing theory and reliability theory. One assumes that the lifetimes of the devices are independent random variables with exponential distributions, and then the property (2) enables one to examine a queueing system by means of finite or denumerable Markov chains with continuous time. Similarly, one uses Markov chains in reliability theory, where the fault-free operating times of the individual devices can often be taken as independent and as having exponential distributions.

References

[1] W. Feller, "An introduction to probability theory and its applications" , 2 , Wiley (1971)


Comments

The lack-of-memory property is related to the Markov property in Poisson processes.

References

[a1] S.M. Ross, "Stochastic processes" , Wiley (1983)
[a2] A.D. [A.D. Solov'ev] Solovyev, "Mathematical methods of reliability theory" , Acad. Press (1969) (Translated from Russian)
How to Cite This Entry:
Exponential distribution. Encyclopedia of Mathematics. URL: http://encyclopediaofmath.org/index.php?title=Exponential_distribution&oldid=21095
This article was adapted from an original article by B.A. Sevast'yanov (originator), which appeared in Encyclopedia of Mathematics - ISBN 1402006098. See original article