Paper 2024/2035

A Heuristic Proof of P $\neq$ NP

Ping Wang, Shenzhen University
Abstract

The question of whether the complexity class P equals NP is a major unsolved problem in theoretical computer science. In this paper, we introduce a new language, the Add/XNOR problem, which has the simplest structure and perfect randomness, by extending the subset sum problem. We prove that P $\neq$ NP as it shows that the square-root complexity is necessary to solve the Add/XNOR problem. That is, problems that are verifiable in polynomial time are not necessarily solvable in polynomial time.

Metadata
Available format(s)
PDF
Category
Foundations
Publication info
Preprint.
Keywords
PNPsubset sum problemAdd and XNOR problemcomplexity theorypolynomial timeexponential time
Contact author(s)
wangping @ szu edu cn
History
2024-12-22: last of 4 revisions
2024-12-17: received
See all versions
Short URL
https://ia.cr/2024/2035
License
Creative Commons Attribution-NonCommercial-NoDerivs
CC BY-NC-ND

BibTeX

@misc{cryptoeprint:2024/2035,
      author = {Ping Wang},
      title = {A Heuristic Proof of P $\neq$ {NP}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2024/2035},
      year = {2024},
      url = {https://eprint.iacr.org/2024/2035}
}
Note: In order to protect the privacy of readers, eprint.iacr.org does not use cookies or embedded third party content.