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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