• DocumentCode
    943836
  • Title

    Entropy and negentropy (Edtl.)

  • Author

    Woodward, Philip M.

  • Volume
    3
  • Issue
    1
  • fYear
    1957
  • fDate
    3/1/1957 12:00:00 AM
  • Firstpage
    3
  • Lastpage
    3
  • Abstract
    Certainly there is a relationship between the mathematical theory of communication and statistical thermodynamics. It should be made clear without any doubt or hesitation that the term entropy is used in information theory by mathematical analogy. The expression X, which we call the entropy of a set of probabilities, is identical in form and in sign with the expression for entropy in physics. The units may differ, and the probabilities stand for different things, but neither of these can change the sign of X. The pure information theorist, of course, is left unmoved by arguments about mere names. In a mathematical theory, definitions are judged solely in the light of the theorems to which they lead, and word-names are arbitrary, even irrelevant. But when we apply the theory, or compare two different theories, it is surely important to avoid using one name for two different things or two opposite names for one and and the same thing.
  • Keywords
    Entropy functions; Information theory; Entropy; Filters; Information theory; Measurement uncertainty; Physics; Resistance heating; Resistors; Springs; Thermodynamics; Writing;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IRE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-1000
  • Type

    jour

  • DOI
    10.1109/TIT.1957.1057398
  • Filename
    1057398