scholarly journals Simultaneous approximation of a uniformly bounded set of real valued functions

1985 ◽  
Vol 45 (2) ◽  
pp. 129-132
Author(s):  
Şermin Atacik
1987 ◽  
Vol 30 (2) ◽  
pp. 229-246
Author(s):  
Alan L. Horwitz ◽  
Lee A. Rubel

This paper is a continuation of our project on “inverse interpolation”, begun in [6]. In brief, the task of inverse interpolation is to deduce some property of a function f from some given property of the set L of its Lagrange interpolants. In the present work, the property of L is that it be a uniformly bounded set of functions when restricted to the domain of f. In particular (see Section 3), when the domain is a disc, we deduce sharp bounds on the successive derivatives of f. As a result, f must extend to be an analytic function (of restricted growth) in the concentric disc of thrice the original radius.


2017 ◽  
Vol 16 (12) ◽  
pp. 1750236 ◽  
Author(s):  
Andrew Cavaness ◽  
Dimitar Grantcharov

We study weight modules of the Lie algebra [Formula: see text] of vector fields on [Formula: see text]. A classification of all simple weight modules of [Formula: see text] with a uniformly bounded set of weight multiplicities is provided. To achieve this classification, we introduce a new family of generalized tensor [Formula: see text]-modules. Our classification result is an important step in the classification of all simple weight [Formula: see text]-modules with finite weight multiplicities.


2015 ◽  
Vol 14 (4) ◽  
pp. 41-51
Author(s):  
José Atilio Guerrero ◽  
◽  
Janusz Matkowski ◽  
Nelson Merentes ◽  
Małgorzata Wróbel ◽  
...  

1968 ◽  
Vol 33 ◽  
pp. 75-83
Author(s):  
D.C. Rung

After one introduces the theory of normal families in a course in complex analysis, the usual pattern is to give an example of a non-normal family. One of the simplest, of course, is the sequence fn(z) = nz, n = 1,2, ···. The very devastating effect of multiplying by zero insures the required abnormality!


1996 ◽  
Vol 28 (2) ◽  
pp. 346-355 ◽  
Author(s):  
A. J. Baddeley ◽  
M. N. M. Van Lieshout ◽  
J. Møller

We show that a Poisson cluster point process is a nearest-neighbour Markov point process [2] if the clusters have uniformly bounded diameter. It is typically not a finite-range Markov point process in the sense of Ripley and Kelly [12]. Furthermore, when the parent Poisson process is replaced by a Markov or nearest-neighbour Markov point process, the resulting cluster process is also nearest-neighbour Markov, provided all clusters are non-empty. In particular, the nearest-neighbour Markov property is preserved when points of the process are independently randomly translated, but not when they are randomly thinned.


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