Multivariable interpolation by weighted arithmetic means at arbitrary points

CALCOLO ◽  
1992 ◽  
Vol 29 (3-4) ◽  
pp. 301-311 ◽  
Author(s):  
G. Allasia ◽  
R. Besenghi ◽  
V. Demichelis

2006 ◽  
Vol 322 (2) ◽  
pp. 729-734 ◽  
Author(s):  
Raghib Abu-Saris ◽  
Mowaffaq Hajja




1980 ◽  
Vol 1 (3) ◽  
pp. 259-260 ◽  
Author(s):  
J. Aczél ◽  
C. Wagner


2019 ◽  
Vol 35 ◽  
pp. 357-364
Author(s):  
Gergő Nagy ◽  
Patricia Szokol

In this paper, the problem of describing the structure of transformations leaving norms of generalized weighted quasi-arithmetic means of invertible positive operators invariant is discussed. In a former result of the authors, this problem was solved for weighted quasi-arithmetic means, and here the corresponding result is generalized by establishing its solution under certain mild conditions. It is proved that in a quite general setting, generalized weighted quasi-arithmetic means on self-adjoint operators are not monotone in their variables which is an interesting property. Moreover, the relation of these means with the Kubo-Ando means is investigated and it is shown that the common members of the classes of these types of means are weighted arithmetic means.



CALCOLO ◽  
1988 ◽  
Vol 25 (3) ◽  
pp. 203-217 ◽  
Author(s):  
G. Allasia ◽  
R. Besenghi ◽  
V. Demichelis


2005 ◽  
Vol 12 (03) ◽  
pp. 289-302 ◽  
Author(s):  
B. H. Lavenda

Entropies are expressed in terms of mean values, and not as weighted arithmetic means of their generating functions, which result in pseudo-additive entropies. The Shannon entropy corresponds to the logarithm of the inverse of the geometric mean, while the Rényi entropy, more generally, to the logarithm of the inverse of power means of order τ < 1. Translation invariance of the means relates to mean code lengths, while their homogeneity translates them into entropies: the arithmetic and exponential means correspond to the Shannon and Rényi entropies, respectively, under the Kraft equality. While under the Kraft inequality, the entropies are lower bounds to the mean code lengths. Means of any order cannot be expressed as escort averages because such averages contradict the fact that the means are monotonically increasing functions of their order. Exponential entropies are shown to be measures of the extent of a distribution. The probability measure and the incomplete probability distribution are shown to be the ranges of continuous and discrete sample spaces, respectively. Comparison is made with Boltzmann's principle.





1997 ◽  
Vol 69 (2) ◽  
pp. 120-126
Author(s):  
Arkady Berenstein ◽  
Alek Vainshtein




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