Measuring Disorder: The Entropy of a Tuple of Numbers

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SUMMARY

The discussion focuses on defining the entropy of a tuple of N real numbers, constrained between zero and a fixed maximum value M. The proposed formula for entropy is -∑_i (v_i/M) log(v_i/M), which reflects minimal entropy for identical values and maximal entropy for completely random distributions. The participant, Harald, seeks clarification on whether entropy can be additive when juxtaposing two tuples and expresses uncertainty about comparing tuples of different arities.

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birulami
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Hi,

not sure whether this is a good question.

How would I define the entropy of a tuple of N real numbers, each between zero and some fixed maximum value?

Of course I would expect the entropy to be minimal if they are all identical and maximal if they are all "completely random".

If [itex]v_i[/itex] are the values and [tex]M[/tex] is the allowed maximum, then

[itex]-\sum_i \frac{v_i}{M} \log(\frac{v_i}{M})[/itex]

would be my candidate. Any comments?
 
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Does the entropy add when we juxtapose two tuples?
 
Hmm, not sure. I did not think of comparing different arities of tuples. I am just looking for a kind of the measure of the disorder. For example I consider

(1,1,1,1,1,1,1) to be more in order (less entropy) then (1,2,1,1,1,1,1)

but I would not want to compare, say, (1,1,1) with (1,1,1,1).

Harald.
 

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