
TL;DR
This paper claims to prove P != NP by introducing a generalized problem, XG-SAT, which is in NP but not in P, challenging traditional complexity class definitions.
Contribution
It presents a new generalized framework for P and NP, along with a constructed problem, XG-SAT, to demonstrate the separation between the classes.
Findings
XG-SAT is in NP
XG-SAT is not in P
Traditional class definitions are insufficient
Abstract
This paper demonstrates that P \not= NP. The way was to generalize the traditional definitions of the classes P and NP, to construct an artificial problem (a generalization to SAT: The XG-SAT, much more difficult than the former) and then to demonstrate that it is in NP but not in P (where the classes P and NP are generalized and called too simply P and NP in this paper, and then it is explained why the traditional classes P and NP should be fixed and replaced by these generalized ones into Theory of Computer Science). The demonstration consists of: 1. Definition of Restricted Type X Program; 2. Definition of the General Extended Problem of Satisfiability of a Boolean Formula - XG-SAT; 3. Generalization to classes P and NP; 4. Demonstration that the XG-SAT is in NP; 5. Demonstration that the XG-SAT is not in P; 6. Demonstration that the Baker-Gill-Solovay Theorem does not refute the…
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Taxonomy
TopicsAdvanced Algebra and Logic · Computability, Logic, AI Algorithms · Logic, programming, and type systems
