Displaying 1541 – 1560 of 1592

Showing per page

Una classe di soluzioni con zeri dell'equazione funzionale di Aleksandrov.

Constanza Borelli Forti (1992)

Stochastica

In this paper we consider the Aleksandrov equation f(L + x) = f(L) + f(x) where L is contained in Rn and f: L --> R and we describe the class of solutions bounded from below, with zeros and assuming on the boundary of the set of zeros only values multiple of a fixed a > 0. This class is the natural generalization of that described by Aleksandrov itself in the one-dimensional case.

Une famille de distributions : des paretiennes aux «contra-paretiennes». Applications à l'étude de la concentration urbaine et de son évolution

Marc Barbut (1998)

Mathématiques et Sciences Humaines

Ce texte est consacré à une famille de distributions statistiques — qui comprend les distributions de V. Pareto, celles du type exponentiel et celles que l'on appellera ici «contra-paretiennes» (ou «anti-paretiennes») — dont l'unité tient à ce qu'elles vérifient toutes une même relation fonctionnelle. Celle-ci est d'ailleurs interprétable en termes d'inégalité des distributions ; elle fournit en outre une méthode simple et efficace d'ajustement des distributions de la famille à des «données» observées....

Value distribution of meromorphic solutions of homogeneous and non-homogeneous complex linear differential-difference equations

Li-Qin Luo, Xiu-Min Zheng (2016)

Open Mathematics

In this paper, we investigate the value distribution of meromorphic solutions of homogeneous and non-homogeneous complex linear differential-difference equations, and obtain the results on the relations between the order of the solutions and the convergence exponents of the zeros, poles, a-points and small function value points of the solutions, which show the relations in the case of non-homogeneous equations are sharper than the ones in the case of homogeneous equations.

Weighted entropies

Bruce Ebanks (2010)

Open Mathematics

We present an axiomatic characterization of entropies with properties of branching, continuity, and weighted additivity. We deliberately do not assume that the entropies are symmetric. The resulting entropies are generalizations of the entropies of degree α, including the Shannon entropy as the case α = 1. Such “weighted” entropies have potential applications to the “utility of gambling” problem.

Why λ -additive (fuzzy) measures?

Ion Chiţescu (2015)

Kybernetika

The paper is concerned with generalized (i. e. monotone and possibly non-additive) measures. A discussion concerning the classification of these measures, according to the type and amount of non-additivity, is done. It is proved that λ -additive measures appear naturally as solutions of functional equations generated by the idea of (possible) non additivity.

Currently displaying 1541 – 1560 of 1592