首页    期刊浏览 2024年09月19日 星期四
登录注册

文章基本信息

  • 标题:Shannon entropy: axiomatic characterization and application
  • 本地全文:下载
  • 作者:C. G. Chakrabarti ; Indranil Chakrabarty
  • 期刊名称:International Journal of Mathematics and Mathematical Sciences
  • 印刷版ISSN:0161-1712
  • 电子版ISSN:1687-0425
  • 出版年度:2005
  • 卷号:2005
  • 期号:18
  • 页码:2847-2854
  • DOI:10.1155/IJMMS.2005.2847
  • 出版社:Hindawi Publishing Corporation
  • 摘要:

    We have presented a new axiomatic derivation of Shannon entropy for a discrete probability distribution on the basis of the postulates of additivity and concavity of the entropy function. We have then modified Shannon entropy to take account of observational uncertainty.The modified entropy reduces, in the limiting case, to the form of Shannon differential entropy. As an application, we have derived the expression for classical entropy of statistical mechanics from the quantized form of the entropy.

国家哲学社会科学文献中心版权所有