On the geometric median and other median-like points

 
PIIS042473880010498-6-1
DOI10.31857/S042473880010498-6
Publication type Article
Status Published
Authors
Occupation: Senior Lecturer,
Affiliation:
Higher School of Economics

Address: Moscow, Russia
Occupation: Professor,
Affiliation:
Central Economics and Mathematics Institute, Russian Academy of Sciences
Adygeya StateUniversity
Dmitry Pozharsky University
Moscow Institute of Physics and Technology (State University)

Address: Russia
Journal nameEkonomika i matematicheskie metody
EditionVolume 56 Issue 3
Pages145-152
Abstract

 

The geometric median and some of its generalizations are widely used in economic theory, starting with the works of Wilhelm Launhardt and Alfred Weber on location theory.The most important property of the median of a numerical sample is that the median minimizes the sum of the distance to all elements of the sample.This minimizing property is the basis for determining the geometric median for finite sets of points on the plane.This definition is easily transferred to any metric space, including the Euclidean space Rn. Using integration, the concept of a geometric median extends to bounded submanifolds of any dimension inRn.There are effective numerical methods for finding the geometric median, but there are no General analytical formulas for calculating it. In this paper, we focus on the geometric medians of bounded domains located in the Euclidean space Rn.The main new results obtained in our work include the conclusion of a new convenient representation of the gradient system for finding the geometric median, as well as the extension of this approach to a wide class of similar optimization problems, where the distance function is replaced by functions of a more general form. It is the solutions to these problems that we call median-like points. They are the closest relatives of the geometric median and are also widely used in modern economic studies.

 

 

Keywordsgeometric median, domain, triangular domain, gradient system, critical point.
Received10.07.2020
Publication date04.09.2020
Number of characters18004
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