
TL;DR
This paper claims a new proof method for P ≠ NP by analyzing Turing machines with increasing time limits, leveraging the halting problem and Rice's theorem to argue the impossibility of solving NP problems efficiently.
Contribution
It introduces a novel proof approach for P ≠ NP based on runtime limits and halting problem considerations, which is a significant theoretical claim.
Findings
Proposes a new proof method for P ≠ NP.
Utilizes the halting problem and Rice's theorem in the proof.
Suggests that NP problems cannot be solved within finite time constraints.
Abstract
There have been many attempts to solve the P versus NP problem. However, with a new proof method, P not equal NP can be proved. A time limit is set for an arbitrary Turing machine and an input word is rejected on a timeout. The time limit goes toward infinity. Due to the halting problem, whether a word is accepted can only be determined at runtime. It can be shown by Rice's theorem, if a finite set of words are to be checked, they all have to be tested by brute force.
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Taxonomy
TopicsComputability, Logic, AI Algorithms · semigroups and automata theory · Logic, programming, and type systems
