Linear and Sublinear Diversities
David Bryant, Paul Tupper

TL;DR
This paper extends the theory of diversities, a generalization of metric spaces, focusing on linear and sublinear diversities on f^k, and characterizes their properties and embeddability conditions.
Contribution
It introduces and characterizes Minkowski linear and sublinear diversities on f^k, revealing deep connections and embedding criteria related to convex analysis and metric geometry.
Findings
Characterization of Minkowski linear diversities as diameter, circumradius, and mean width.
Embedding of finite diversities into f^k is characterized by negative type and generalized circumradius.
Establishment of connections between diversity classes and classical convex analysis functions.
Abstract
Diversities are an extension of the concept of a metric space which assign a non-negative value to every finite set of points, rather than just pairs. A general theory of diversities has been developed which exhibits many deep analogies to metric space theory but also veers off in new directions. Just as many of the most important aspects of metric space theory involve metrics defined on , many applications of diversity theory require a specialized theory for diversities defined on , as we develop here. We focus on two fundamental classes of diversities defined on : those that are Minkowski linear and those that are Minkowski sublinear. Many well-known functions in convex analysis belong to these classes, including diameter, circumradius and mean width. We derive surprising characterizations of these classes, and establish elegant connections…
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Taxonomy
TopicsCulture, Economy, and Development Studies
