Linnik class

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Template:Short description Template:MI The Linnik class I0 is one of the central concepts in the arithmetic of probability distributions. Following Yuri Vladimirovich Linnik, denote by I0 the class of distributions that have no indecomposable divisors. Examples of distributions belonging to the class I0 include normal distributions (Cramér's decomposition theorem), Poisson distributions (Raikov's theorem), as well as their convolutions (Linnik's theorem).

Properties distributions of the Linnik class

Let μ∈I0. Then, according to Khinchin's second theorem, the distribution μ is infinitely divisible. Hence, by the Lévy formula, its characteristic function can be represented in the form

μ̂(s)=exp⁡{iβs−σs2+∫ℝ∖{0}(eixs−1−ixs1+x2)dF(x)},(1)

where β∈ℝ, σ≥0, and F is a Borel measure on ℝ∖{0} satisfying the condition ∫ℝ∖{0}x21+x2dF(x)<∞. The measure F is called the Lévy spectral measure of the infinitely divisible distribution μ. The central problem in the arithmetic of probability distributions is to determine conditions on σ and F that are necessary and sufficient for an infinitely divisible distribution μ to belong to the class I0.

Denote by 𝔏 the class of infinitely divisible distributions μ having the property that the Lévy spectral measure F in (1) is discrete and concentrated on a set of the form

{μk1}k=−∞∞∪{μk2}k=−∞∞,

where μk1>0, μk2<0, and the numbers μk+1,r/μk,r, r=1,2, k=0,±1,±2,…, are natural numbers different from 1.

The following remarkable theorem is due to Yu. V. Linnik.

Theorem 1[1]. Let μ be an infinitely divisible distribution and suppose that in formula (1), σ>0. If μ∈I0, then μ∈𝔏.

Note that there exist distributions belonging to the class 𝔏 but not to I0. A corresponding example was constructed in [2]. On the other hand, under the additional assumption of rapid decay of the quantity ∫|x|>ydF(x) as y→∞, membership in the class 𝔏 implies membership in the class I0[3].

We present two results concerning membership in the class I0 of a generalized Poisson distribution, i.e., an infinitely divisible distribution μ such that in (1), σ=0 and the Lévy spectral measure F is finite.

Theorem 2[4]. Suppose that in (1), σ=0, the Lévy spectral measure F is finite and concentrated on the interval (a,b), where 0<a<b≤2a. Then μ∈I0.

Theorem 3[5]. Suppose that in (1), σ=0, the Lévy spectral measure F is finite and concentrated on a set of independent points. Then μ∈I0.

The following two theorems describe the properties of the class I0 as a subclass of the class of all infinitely divisible distributions.

Theorem 4[6]. The class I0 is dense (in the weak topology) in the class of all infinitely divisible distributions.

Theorem 5[4]. Any infinitely divisible distribution can be represented as a finite or countable convolution of distributions belonging to the class I0.

References

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  1. ↑ Linnik, Yu. V. General theorems on the decomposition of infinitely divisible laws. I // Theory of Probability and Its Applications. — 1958. — Vol. 3, No. 1. — P. 3–40
  2. ↑ Goldberg, A. A.; Ostrovskii, I. V. Application of W. K. Hayman's theorem to a problem in the theory of decomposition of probability laws // Ukrainian Mathematical Journal. — 1967. — Vol. 19, No. 3. — P. 104–106.
  3. ↑ Linnik, Yu. V.; Ostrovskii, I. V. Decomposition of Random Variables and Vectors. — Moscow: Nauka, 1972
  4. ↑ 4.0 4.1 Ostrovskii, I. V. On decompositions of infinitely divisible laws without a Gaussian component // Doklady Akademii Nauk SSSR. — 1965. — Vol. 161, No. 1. — P. 48–51.
  5. ↑ Cuppens, R. Ensembles indépendants et décomposition des fonctions caractéristiques // C. R. Acad. Sci. Paris, Série A-B. — 1971. — Vol. 272. — P. A1464–A1466
  6. ↑ Ostrovskii, I. V. On certain classes of infinitely divisible laws // Izvestiya Akademii Nauk SSSR, Seriya Matematicheskaya. — 1970. — Vol. 34, No. 4. — P. 923–944