Abstract
We denote by ℘ \((\mathcal{P_{+}})\) the set of all probability measures defined on the Borel subsets of the real line (the positive half-line [0,∞)). K. Urbanik defined the generalized convolution as a commutative and associative ℘+-valued binary operation • on ℘ 2+ which is continuous in each variable separately. This convolution is distributive with respect to convex combinations and scale changes T a (a>0) with δ 0 as the unit element. The key axiom of a generalized convolution is the following: there exist norming constants c n and a measure ν other than δ 0 such that \(T_{c_{n}}\delta_{1}^{\bullet n}\to\nu\) .
In Sect. 2 we discuss basic properties of the generalized convolution on ℘ which hold for the convolutions without the key axiom. This rather technical discussion is important for the weak generalized convolution where the key axiom is not a natural assumption. In Sect. 4 we show that if the weak generalized convolution defined by a weakly stable measure μ has this property, then μ is a factor of strictly stable distribution.
Similar content being viewed by others
References
Jasiulis, B.H., Misiewicz, J.K.: On the connections between weakly stable and pseudo-isotropic distributions. Statist. Probab. Lett. 78(16), 2751–2755 (2008)
Jasiulis, B.H., Misiewicz, J.K.: Weak Lévy–Khintchine representation for weak infinite divisibility (2009, preprint)
Kucharczak, J., Urbanik, K.: Quasi-stable functions. Bull. Polish Acad. Sci. Math. 22(3), 263–268 (1974)
Kucharczak, J., Urbanik, K.: Transformations preserving weak stability. Bull. Polish Acad. Sci. Math. 34(7–8), 475–486 (1986)
Mazurkiewicz, G.: Weakly stable vectors and magic distribution of C. Cambanis, R. Keener and G. Simons. Appl. Math. Sci. 1(20), 975–996 (2007)
Misiewicz, J.K., Oleszkiewicz, K., Urbanik, K.: Classes of measures closed under mixing and convolution. Weak stability. Studia Math. 167(3), 195–213 (2005)
Misiewicz, J.K.: Weak stability and generalized weak convolution for random vectors and stochastic processes. In: IMS Lecture Notes—Monograph Series, Dynamics & Stochastics: Festschrift in honor of M.S. Keane, vol. 48, pp. 109–118. Institute of Mathematical Statistics, Beachwood (2006)
Urbanik, K.: A characterisation of Gaussian measures. Studia Math. 77, 59–68 (1983)
Urbanik, K.: A counterexample on generalized convolutions. Colloq. Math. 54(1), 143–147 (1987)
Urbanik, K.: Atoms of characteristic measures. Colloq. Math. 58(1), 125–129 (1989)
Urbanik, K.: Generalized convolutions. Studia Math. 23, 217–245 (1964)
Urbanik, K.: Generalized convolutions II. Studia Math. 45, 57–70 (1973)
Urbanik, K.: Generalized convolutions III. Studia Math. 80, 167–189 (1984)
Urbanik, K.: Generalized convolutions IV. Studia Math. 83, 57–95 (1986)
Urbanik, K.: Generalized convolutions V. Studia Math. 91, 153–178 (1988)
Urbanik, K.: Remarks on ℬ-stable probability distributions. Bull. Polish Acad. Sci. Math. 24(9), 783–787 (1976)
Vol’kovich, V.: On symmetric stochastic convolutions. J. Theoret. Probab. 5(3), 417–430 (1992)
Author information
Authors and Affiliations
Corresponding author
Additional information
The author is supported by the Polish Government MNiSW grant N N201 371536.
Rights and permissions
About this article
Cite this article
Jasiulis, B.H. Limit Property for Regular and Weak Generalized Convolution. J Theor Probab 23, 315–327 (2010). https://doi.org/10.1007/s10959-009-0238-2
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10959-009-0238-2
Keywords
- Weakly stable distribution
- Generalized weak convolution
- Generalized convolution
- Factor of strictly stable distribution