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The Klebanov theorem for the group $\mathbb{R}\times \mathbb{Z}(2)$

Margaryta Myronyuk

TL;DR

This work generalizes the Klebanov theorem from the real line to the nonconnected locally compact Abelian group X = $\mathbb{R}\times\mathbb{Z}(2)$, using linear forms with coefficients in End(X). By analyzing the joint distributions via characteristic functions and applying a finite-difference approach, the author identifies three distinct outcomes: (1) if the nondegeneracy condition a_i d_j − b_i c_j ∈ Aut(X) holds for all relevant indices, the involved ξi must be Gaussian on X; (2) if a'_i d'_j − b'_i c'_j ≠ 0 for all j and at least one a''_i or b''_i equals 1, then ξi fall into the Θ(X) class; (3) if a'_i d'_j − b'_i c'_j ≠ 0 for all j, then ξi belong to Λ(X). These results extend the Klebanov framework to a simple yet nontrivial LCA group and connect to group analogues of Darmois–Skitovich and Heyde theorems, illustrating how the connected/discrete structure influences Gaussianity characterizations on groups.

Abstract

L. Klebanov proved the following theorem. Let $ξ_1, \dots, ξ_n$ be independent random variables. Consider linear forms $L_1=a_1ξ_1+\cdots+a_nξ_n,$ $L_2=b_1ξ_1+\cdots+b_nξ_n,$ $L_3=c_1ξ_1+\cdots+c_nξ_n,$ $L_4=d_1ξ_1+\cdots+d_nξ_n,$ where the coefficients $a_j, b_j, c_j, d_j$ are real numbers. If the random vectors $(L_1,L_2)$ and $(L_3,L_4)$ are identically distributed, then all $ξ_i$ for which $a_id_j-b_ic_j\neq 0$ for all $j=\overline{1,n}$ are Gaussian random variables. The present article is devoted to an analogue of the Klebanov theorem in the case when random variables take values in the group $\mathbb{R}\times \mathbb{Z}(2)$ and the coefficients of the linear forms are topological endomorphisms of this group.

The Klebanov theorem for the group $\mathbb{R}\times \mathbb{Z}(2)$

TL;DR

This work generalizes the Klebanov theorem from the real line to the nonconnected locally compact Abelian group X = , using linear forms with coefficients in End(X). By analyzing the joint distributions via characteristic functions and applying a finite-difference approach, the author identifies three distinct outcomes: (1) if the nondegeneracy condition a_i d_j − b_i c_j ∈ Aut(X) holds for all relevant indices, the involved ξi must be Gaussian on X; (2) if a'_i d'_j − b'_i c'_j ≠ 0 for all j and at least one a''_i or b''_i equals 1, then ξi fall into the Θ(X) class; (3) if a'_i d'_j − b'_i c'_j ≠ 0 for all j, then ξi belong to Λ(X). These results extend the Klebanov framework to a simple yet nontrivial LCA group and connect to group analogues of Darmois–Skitovich and Heyde theorems, illustrating how the connected/discrete structure influences Gaussianity characterizations on groups.

Abstract

L. Klebanov proved the following theorem. Let be independent random variables. Consider linear forms where the coefficients are real numbers. If the random vectors and are identically distributed, then all for which for all are Gaussian random variables. The present article is devoted to an analogue of the Klebanov theorem in the case when random variables take values in the group and the coefficients of the linear forms are topological endomorphisms of this group.

Paper Structure

This paper contains 5 sections, 10 theorems, 38 equations.

Key Result

Theorem 1

Let $X=\mathbb{R}\times \mathbb{Z}(2)$. Let $\xi_1, \dots, \xi_n$ be independent random variables with values in $X$ and distributions $\mu_{\xi_j}$ with non-vanishing characteristic functions. Consider the linear forms $(th1.1.1)-(th1.1.4)$, where $a_j, b_j, c_j, d_j\in End(X)$. Suppose that the ra

Theorems & Definitions (14)

  • Definition 1
  • Definition 2
  • Theorem 1
  • Lemma 1
  • Lemma 2
  • Lemma 3
  • Lemma 4
  • Lemma 5
  • Lemma 6
  • Proposition 1
  • ...and 4 more