Cognitive Scaffold

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MENTAL MODEL · M2940

P vs NP Problem

P vs NP Problem
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Version 1.0.0 · Updated 2026-07-31

CORE DEFINITION

The first of the seven Millennium Prize Problems in mathematics. - P problems: Problems that a computer can solve in polynomial time (reasonable time), such as multiplication and sorting. - NP problems: Problems whose answers can be verified in polynomial time, such as Sudoku, puzzles, and password cracking. - Core dilemma: Does P equal NP? That is, 'If the answer to a problem is easy to verify, is it also easy to find?' Currently, it is widely believed that P ≠ NP. - Scaffold role: The physical limit of efficiency. - It tells us

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The physical limit of efficiency. - It tells us

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P-class problems can be 'solved' in polynomial time, while NP-class problems can have their answers 'verified' in polynomial time. The core question is whether P = NP: if true, then all easily verifiable problems are easily solvable (cryptography collapses, optimization becomes universally solvable); if false (mainstream belief), there exists an essential gap between 'easy to verify' and 'hard to solve'. It is the fundamental boundary of computational complexity.

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Source support: Explicit

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    en.wikipedia.orghttps://en.wikipedia.org/wiki/P_versus_NP_problemZH · Explicit
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