Entropy Optimization Problems for Modified Verma Measures in Primal and Dual Spaces

Authors

  • Rohit Kumar Verma G.D. Rungta College of Engineering Bhilai, C.G, India.

DOI:

https://doi.org/10.9734/bpi/ramrcs/v5/15105D

Keywords:

Measure of entropy, measure of cross-entropy, primal problem, dual problem, continuous variate distribution, concave function, convex function, discrete variate probability distribution

Abstract

In the present paper we formulate the dual problem for a primal problem concerned with the maximization of the modified version of Verma measure of entropy [1-2] or minimization of corresponding measure of cross-entropy. In this case, it is shown that the maximum value of that entropy (or minimum value of the corresponding cross-entropy, which is motivated by Kullback [3]-Leibler [4] is equal to the minimum (or maximum) value of the objective function of the dual problem. The recovery of the primal problem, when the dual problem is given, is also discussed.

Published

2021-11-22

How to Cite

Rohit Kumar Verma. (2021). Entropy Optimization Problems for Modified Verma Measures in Primal and Dual Spaces . Recent Advances in Mathematical Research and Computer Science Vol. 5, 60–68. https://doi.org/10.9734/bpi/ramrcs/v5/15105D