On Monotone Embedding in Information Geometry (Open Access)

Abstract

A paper was published (Harsha and Subrahamanian Moosath, 2014) in which the authors claimed to have discovered an extension to Amari's alpha-geometry through a general monotone embedding function. It will be pointed out here that this so-called (F,G)-geometry (which includes F-geometry as a special case) is identical to Zhang's (2004) extension to the alpha-geometry, where the name of the pair of monotone embedding functions rho and tau were used instead of F and H used in Harsha and Subrahamanian Moosath (2014). Their weighting function G for the Riemannian metric appears cosmetically due to a rewrite of the score function in log-representation as opposed to (rho, tau)-representation in Zhang (2004). It is further shown here that the resulting metric and alpha-connections obtained by Zhang (2004) through arbitrary monotone embeddings is a unique extension of the alpha-geometric structure. As a special case, Naudts' (2004) phi-logarithm embedding (using the so-called log(phi) function) is recovered with the identification rho=phi, tau=log(phi), with phi-exponential exp(phi) given by the associated convex function linking the two representations.

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Document Details

Document Type
Technical Report
Publication Date
Jun 25, 2015
Accession Number
AD1042485

Entities

People

  • Jun Zhang

Organizations

  • University of Michigan

Tags

DTIC Thesaurus Topics

  • Differential Equations
  • Electronic Mail
  • Embedding
  • Equations
  • Exponential Functions
  • Geometry
  • Identities
  • Integral Equations
  • Integrals
  • Logarithm Functions
  • Monotone Functions
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Weighting Functions

Readers

  • Graph Algorithms and Convex Optimization.
  • Military Engineering.