Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 134 tok/s
Gemini 2.5 Pro 41 tok/s Pro
GPT-5 Medium 24 tok/s Pro
GPT-5 High 25 tok/s Pro
GPT-4o 113 tok/s Pro
Kimi K2 216 tok/s Pro
GPT OSS 120B 428 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

A Solution of the P versus NP Problem based on specific property of clique function (1911.00722v2)

Published 2 Nov 2019 in cs.CC

Abstract: Circuit lower bounds are important since it is believed that a super-polynomial circuit lower bound for a problem in NP implies that P!=NP. Razborov has proved superpolynomial lower bounds for monotone circuits by using method of approximation. By extending this approach, researchers have proved exponential lower bounds for the monotone network complexity of several different functions. But until now, no one could prove a non-linear lower bound for the non-monotone complexity of any Boolean function in NP. While we show that in this paper by replacement of each Not gates into constant 1 equivalently in standard circuit for clique problem, it can be proved that non-monotone network has the same or higher lower bound compared to the monotone one for computing the clique function. This indicates that the non-monotone network complexity of the clique function is super-polynomial which implies that P!=NP.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

Authors (1)

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.