Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
If you splash around water on a bathtub, it won't explode on you.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Or have water leaving at the speed of light.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But potentially, it is possible.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
In fact, in recent years, the consensus has drifted towards the
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
The belief that, in fact, for certain very special initial configurations of, say, water, that singularities can form.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But people have not yet been able to actually establish this.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
The Clay Foundation has these seven millennium prize problems, has a million dollar prize for solving one of these problems.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
This is one of them.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Of these seven, only one of them has been solved.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
At that point, great conjecture, my parliament.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So the Kakeya conjecture is not directly, directly related to the Navier-Stokes problem, but understanding it would help us understand some aspects of things like wave concentration, which would indirectly probably help us understand the Navier-Stokes problem better.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Can you speak to the Navier-Stokes?
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Right, yeah.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So yeah, that is literally the million-dollar question.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So this is what distinguishes mathematicians from pretty much everybody else.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
If something holds 99.99% of the time, that's good enough for most things.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But mathematicians are one of the few people who really care about whether 100%, really 100% of all
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
situations are covered by, yeah, so most fluid, most of the time, water does not blow up, but could you design a very special initial state that does this?
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Yeah, so it has practical importance.
Lex Fridman Podcast
#472 β Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So this Clay-Price problem concerns what's called the incompressible Navier-Stokes, which governs things like water.