bibtype J - Journal Article
ARLID 0441885
utime 20240103205825.3
mtime 20150319235959.9
title (primary) (eng) On the Tsallis Entropy for Gibbs Random Fields
specification
page_count 11 s.
media_type P
serial
ARLID cav_un_epca*0293025
ISSN 1212-074X
title Bulletin of the Czech Econometric Society
volume_id 21
volume 33 (2014)
page_num 59-69
keyword Tsallis entropy
keyword Gibbs random fields
keyword phase transitions
keyword Tsallis entropy rate
author (primary)
ARLID cav_un_auth*0101114
name1 Janžura
name2 Martin
full_dept (cz) Stochastická informatika
full_dept (eng) Department of Stochastic Informatics
department (cz) SI
department (eng) SI
institution UTIA-B
full_dept Department of Stochastic Informatics
share 100
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2014/SI/janzura-0441885.pdf
cas_special
project
project_id GBP402/12/G097
agency GA ČR
country CZ
ARLID cav_un_auth*0281000
research CEZ:AV0Z1075907
abstract (eng) The Tsallis entropy, as a generalization of the standard Shannon-type entropy, was introduced by Constantino Tsallis (1988). Since that the concept has been extensively studied (see, e.g., Tsallis (2009)). In the present paper we address the problem of generalizing the concept for innite- dimensional systems, i.e., the random processes and elds. Apparently, rather well suited models are the Gibbs distributions (cf. e.g., Georgii (1988)). We construct the appropriate Tsallis entropy rate either asymptotically by limit over a sequence of expanding volumes or by analogy with the exponential nite-dimensional distributions. Basic properties, taking into account the possible phase transitions, are also introduced.
reportyear 2015
RIV BB
num_of_auth 1
permalink http://hdl.handle.net/11104/0245437
confidential S
arlyear 2014
mrcbU63 cav_un_epca*0293025 Bulletin of the Czech Econometric Society 1212-074X Roč. 21 č. 33 2014 59 69