This is my entry to #SoME4, Grant Sanderson’s Summer of Math Exposition Competition!
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The P vs NP problem is widely agreed upon as the biggest unsolved question in computer science, asking whether discovery is harder than recognition -- if the solution to a problem is easily verifiable (like in sudoku, for example), does it also mean there’s an efficient way to find solutions in the first place? Our intuition says this should not be the case -- that solving a sudoku puzzle should be a lot harder than checking the solution once everything’s filled in.
In 1956, despite the fact that computer science was a new discipline and hadn’t developed the theory and terminology we’d use today, Kurt Gödel was already pondering what the ultimate limits of computation might be, and he essentially foretold the P vs NP question 15 years before Stephen Cook would formalize it in 1971.
In this video, we explore the P vs NP problem through that historical lens, thinking about the problem originally as Gödel did, in terms of a computer program trying to automatically find mathematical proofs, and eventually building up to the actual definitions of P and NP through a series of examples such as graph coloring.
This video is dedicated in loving memory of my uncle, Leonard Gojer, who was enthralled by the P vs NP problem and the biggest mysteries of our universe.
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References:
Godel’s letter (full text): https://www.anilada.com/notes/godel-letter.pdf
3-Colorability paper: https://arxiv.org/pdf/cs/0006046
Millennium Prize Problems: https://en.wikipedia.org/wiki/Millennium_Prize_Problems
Brittle Rille - Reunited by Kevin MacLeod is licensed under a Creative Commons Attribution 4.0 license. https://creativecommons.org/licenses/by/4.0/
Math animations are made using Manim, by 3Blue1Brown.
Character animation done by Osama Mohamed.
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