Well, just to finish my thought. The question now is whether I (or
anyone else) could think of a way to compress multiple strings
together so that:
1. The compression ration would be nearly logarithmic.
2. A decompression algorithm would be nearly exponential.
3. Any individual string in the set could be verified in fast polynomial time.

What kind of characteristics would this compression need? As I think
of it, there are a number of additional conditions that need to be
formed because the length an individual (average) string has to have a
ratio to the number of strings that could be compressed.
Jim Bromer


On Fri, Mar 6, 2015 at 8:46 PM, Matt Mahoney via AGI <[email protected]> wrote:
> On Fri, Mar 6, 2015 at 4:12 PM, Jim Bromer via AGI <[email protected]> wrote:
>> Let me restate that question.
>> Are there any other compression methods that have an average
>> logarithmic compression ratio, which can take an exponential time to
>> decompress using a general set of algorithms, that do not rely on any
>> non-general special substitutions, which are not reducible to Boolean
>> SAT and which *any* solution can be tested in polynomial time?
>>
>> I don't think that you will find a good reason to assume that P<>NP.
>> Jim Bromer
>
> In general, optimal compression implies knowing the Kolmogorov
> complexity, which is not computable.
>
> There are probably some contrived examples where P = NP would speed up
> compression. Encrypted data cannot be compressed without knowing the
> key. If P = NP, then the encryption would be broken and the data could
> be compressed by first decrypting it.
>
> If a source has a logarithmic compression ratio, then decompression is
> exponential but not in NP. For example, a string of n zero bits can be
> compressed to just the number n, which has log(n) bits. Even if P =
> NP, it still requires n operations to write the output.
>
> Anyway, my reason for believing P != NP is that cryptography still works.
>
> --
> -- Matt Mahoney, [email protected]
>
>
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