At Some Point We Figured Out How To Reverse Entropy
April 24, 2007(Humerous Precursor: http://www.multivax.com/last_question.html)
Entropy: ‘a measure of the loss of information in a transmitted signal or message.’
Given: An infinite amount of time of expansion. An infinite amount of information in the form of spacial harmonics along this temporal axis.
Mathematically:
This is a really awesome result attained by my own research into infinite compression. As it turns out, infinite compression is actually impossible due to the word compression, at least for the time being, having ties to entropy. Essentially, compression is not possible infinitely because if you are remapping Set A with 56 elements to Set B with 46 elements, 10 elements are not able to be moved into the smaller set. It may seem so upon first glance that you could, if there were patterns in the information, but in this case, the 56 elements also happens to contain all possible pattern rearrangements of that information, with no further reduction possible. So 56->46 works, but only if there is something on the outside of the data set which allows perception into patterns of the data set.
So, one must utilize that outside perspective, the Panfinite (all-of-finite). This turns the idea into something I term infinite re-expression. The means and method is such:
