General Mathematics

   

Circuit Complexity and Problem Structure in Hamming Space

Authors: Koji KOBAYASHI

This paper describes about relation between circuit complexity and accept inputs structure in Hamming space by using almost all monotone circuit that emulate deterministic Turing machine(DTM). Circuit family that emulate DTM are almost all monotone circuit family except some NOT-gate which connect input variables (like negation normal form (NNF)). Therefore, we can analyze DTM limitation by using this NNF Circuit family. NNF circuit family cannot compute sandwich structure effectively (Sandwich structure is two accept inputs that sandwich reject inputs in Hamming space). So NNF circuit have to use unique AND-gate to identify each different vector of sandwich structure. That is, we can measure problem complexity by counting different vectors. Some dicision problem have characteristic in sandwich structure. Different vectors of Negate HornSAT prob- lem are at most constant length because we can delete constant part of each negative literal in Horn clauses by using definite clauses. Therefore, number of these different vector is at most polynomial size. The other hand, we can design problem with coding theory. For the example, we design new problem by using linear coding which expand vector space.

Comments: 15 Pages.

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Submission history

[v1] 2018-04-01 07:28:16
[v2] 2018-04-05 06:23:29
[v3] 2018-04-15 01:56:01
[v4] 2018-04-16 19:32:29

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