Darmois–Skitovich theorem

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The Darmois–Skitovich theorem is one of the most well-known characterization theorems in mathematical statistics. It characterizes the normal distribution (the Gaussian distribution) by the independence of two linear forms of n independent random variables. The theorem was proved independently in 1953 by V. P. Skitovich[1] and Georges Darmois[2], see also [3], where some of its generalizations can be found.

Statement of the theorem

Let ξj,j=1,2,…,n, be independent random variables, and let αj,βj be nonzero constants. If the linear forms L1=α1ξ1+…+αnξn and L2=β1ξ1+…+βnξn are independent, then the random variables ξj are normally distributed (Gaussian).

The Darmois–Skitovich theorem is a generalization of the Kac–Bernstein theorem, in which the normal distribution is characterized by the independence of the sum and difference of two independent random variables.

A result closely related to the Darmois–Skitovich theorem was proved in 1970 by C. C. Heyde, where the Gaussian distribution is characterized by the symmetry of the conditional distribution of one linear form of n independent random variables given another[4].

Generalizations to locally compact Abelian groups

The Darmois–Skitovich theorem has been extended in various directions. In particular, many works are devoted to its generalization to the case where independent random variables take values in a locally compact Abelian group and the coefficients of the linear forms are topological automorphisms of the group. A survey of a significant part of these results can be found in [5]. A typical example of a group analogue of the Darmois–Skitovich theorem is the following result.

Theorem[6]. Let X be a second countable locally compact Abelian group containing no subgroups topologically isomorphic to the circle group. Let ξj,j=1,2,…,n, be independent random variables taking values in X with distributions μj whose characteristic functions do not vanish. Let αj,βj be topological automorphisms of X. If the linear forms L1=α1ξ1+…+αnξn and L2=β1ξ1+…+βnξn are independent, then all distributions μj are Gaussian.

The proof of the theorem relies on group analogues of Cramér's decomposition theorem and the Marcinkiewicz theorem.

See also

References

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  1. ↑ V. P. Skitovich. On a property of the normal distribution. Doklady Akademii Nauk SSSR (N.S.), vol. 89 (1953), pp. 217–219.
  2. ↑ G. Darmois. Analyse générale des liaisons stochastiques: étude particulière de l'analyse factorielle linéaire. Revue de l'Institut International de Statistique, vol. 21, nos. 1/2 (1953), pp. 2–8. https://www.jstor.org/stable/1401511
  3. ↑ A. M. Kagan, Yu. V. Linnik, C. R. Rao. Characterization Problems of Mathematical Statistics. Wiley, New York, 1973. ISBN 9780471454212
  4. ↑ C. C. Heyde. Characterization of the Normal Law by the Symmetry of a Certain Conditional Distribution. Sankhyā: The Indian Journal of Statistics, Series A, vol. 32, no. 1 (1970), pp. 115–118. https://www.jstor.org/stable/25049642
  5. ↑ G. Feldman. Characterization of Probability Distributions on Locally Compact Abelian Groups. Mathematical Surveys and Monographs, vol. 273. American Mathematical Society, Providence, RI, 2023. ISBN 978-1-4704-7295-5
  6. ↑ G.M. Feldman. A characterization of the Gaussian distribution on Abelian groups. Probab. Theory Relat. Fields. Vol. 126, no. 1 (2003), 91–102. https://doi.org/10.1007/s00440-003-0256-4