# Indecomposable distribution

A non-degenerate probability distribution that cannot be represented as a convolution of non-degenerate distributions. A random variable with an indecomposable distribution cannot be represented as a sum of independent non-constant random variables.

Examples of indecomposable distributions are the arcsine distribution, the beta-distribution when $n+m<2$, the Wishart distribution, and any distribution in $\mathbf R^k$, $k\geq2$, that is concentrated on a strictly-convex closed hypersurface. The set of indecomposable distributions is sufficiently rich and is dense in the set of all distributions with the topology of weak convergence.

In the convolution semi-group of probability distributions the indecomposable ones play a role that is analogous, to a certain extent, to that of prime numbers in arithmetic (see Khinchin theorem on the factorization of distributions), but not every distribution has indecomposable factors.

#### References

[1] | Yu.V. Linnik, I.V. Ostrovskii, "Decomposition of random variables and vectors" , Amer. Math. Soc. (1977) (Translated from Russian) |

[2] | I.V. Ostrovskii, "The arithmetic of probability distributions" Theor. Probab. Appl. , 31 : 1 (1987) pp. 1–24 Teor. Veroyatn. Primenen. , 31 (1986) pp. 3–30 |

[3] | K.R. Parthasarathy, R.R. Rao, S.R.S. Varadhan, "On the category of indecomposable distributions on topological groups" Trans. Amer. Soc. , 102 (1962) pp. 200–217 |

#### Comments

#### References

[a1] | E. Lukacs, "Characteristic functions" , Griffin (1970) |

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Indecomposable distribution.

*Encyclopedia of Mathematics.*URL: http://encyclopediaofmath.org/index.php?title=Indecomposable_distribution&oldid=33508