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Information theory structure definition: Difference between revisions

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If given the description Y we have some function that maps to description X then there is no loss of information in this mapping and the information of X is totally encoded in Y. Then, we can also say that Y is a better description for the original system than X.
If given the description Y we have some function that maps to description X then there is no loss of information in this mapping and the information of X is totally encoded in Y. Then, we can also say that Y is a better description for the original system than X.


In information theory, the measure that relates two description of the same system is the mutual information:
In information theory, the measure that relates two descriptions of the same system is the mutual information:


<math>I(X \vert Y) = H(X) - H(X \vert Y) </math>
I(X | Y) = H(X) - H(X | Y)  


However this kind of reduction without information loss is not always possible and usually when we get the simplifiest version of X description exploiting its structure we loss information in such mapping.
However this kind of reduction without information loss is not always possible and usually when we get the simplifiest version of X description exploiting its structure we loss information in such mapping.

Latest revision as of 16:14, 11 June 2008

From a information theory point of view, structure is a property of a system S with an original description X that allows to encode it in a more simplified description, namely Y. Therefore, Y is a new description of X that exploits its structure.

If given the description Y we have some function that maps to description X then there is no loss of information in this mapping and the information of X is totally encoded in Y. Then, we can also say that Y is a better description for the original system than X.

In information theory, the measure that relates two descriptions of the same system is the mutual information:

I(X | Y) = H(X) - H(X | Y)

However this kind of reduction without information loss is not always possible and usually when we get the simplifiest version of X description exploiting its structure we loss information in such mapping.