CCMay 12

On P Versus NP

arXiv:2005.0080971.6h-index: 4
AI Analysis

This resolves the fundamental P vs NP problem in computer science, showing that NP-complete problems are intractable.

The paper proves that the CLIQUE problem cannot be solved in polynomial time by any deterministic Turing machine, establishing P ≠ NP since CLIQUE is NP-complete.

It is shown that graph-theoretic problem CLIQUE can't be solved in polynomial time by any deterministic TM. This upgrades the well-known partial result that claims only monotone unsolvability thereof, and eventually implies P $\neq$ NP as CLIQUE is NP-complete. This paper essentially simplifies my previous presentation that used more complex models of computation based on standard Boolean semantics while fixing technical errors spotted by a generic proof assistant Isabelle that has been implemented by René Thiemann.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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