DocumentCode
2276113
Title
Properties of Kullback-Leibler cross-entropy minimization in nonextensive framework
Author
Dukkipati, Ambedkar ; Murty, M. Narasimha ; Bhatnagar, Shalabh
Author_Institution
Dept. of Comput. Sci. & Autom., Indian Inst. of Technol., Bangalore
fYear
2005
fDate
4-9 Sept. 2005
Firstpage
2374
Lastpage
2378
Abstract
Kullback-Leibler cross-entropy has unique properties in cases involving distributions resulting from cross-entropy minimization. Nonextensive entropy (Tsallis entropy), which is a one-parameter generalization of Shannon entropy, is proposed to study certain class of physical systems. Thermostatistics based on Tsallis entropy is termed as nonextensive statistics or Tsallis statistics. Previously, Kullback-Leibler cross-entropy has been generalized and studied in this framework. In this paper we study properties of generalized cross-entropy minimization and present some differences with the classical case. In the representation of such a minimum cross-entropy distribution, we highlight the use of the q-product, an operator that has been recently introduced, to derive the mathematical structure behind the Tsallis statistics. One of our main results is the generalization of the triangle equality of cross-entropy minimization, in nonextensive framework
Keywords
information theory; mathematical analysis; minimisation; statistical analysis; Kullback-Leibler cross-entropy minimization; Shannon entropy; Tsallis entropy; Tsallis statistics; mathematical structure; nonextensive framework; nonextensive statistics; Automation; Complexity theory; Computer science; Entropy; Fractals; Information theory; Probability distribution; Statistical distributions; Statistics; Thermodynamics;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2005. ISIT 2005. Proceedings. International Symposium on
Conference_Location
Adelaide, SA
Print_ISBN
0-7803-9151-9
Type
conf
DOI
10.1109/ISIT.2005.1523773
Filename
1523773
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