Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And he showed that for two-dimensional surfaces, if you started something, no singularities ever formed.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You never ran into trouble, and you could flow, and it would give you a sphere.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So he got a new proof of the two-dimensional result.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Yeah, these are quite sophisticated equations on par with the Einstein equations.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It's slightly simpler, but...
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Yeah, but they were considered hard nonlinear equations to solve.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And there's lots of special tricks in 2D that helped.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But in 3D, the problem was that this equation was actually supercritical.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It's the same problem as Navier-Stokes.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
As you blow up, maybe the curvature could get concentrated in finer and smaller regions, and it looked more and more nonlinear, and things just looked worse and worse.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And there could be all kinds of singularities that showed up.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Some singularities, like there's these things called neck pinches, where the surface sort of behaves like a barbell and it pinches at a point.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Some singularities are simple enough that you can sort of see what to do next.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
You just make a snip and then you can turn one surface into two and evil them separately.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But there was the prospect that some really nasty, like, knotted singularities showed up that you couldn't see how to resolve in any way, that you couldn't do any surgery to.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So you need to classify all the singularities.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Like, what are all the possible ways that things can go wrong?
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So what Perlman did was, first of all, he made the problem, he turned the problem from a supercritical problem to a critical problem.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
I said before about how the invention of energy, the Hamiltonian, really clarified Newtonian mechanics.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
So he introduced something which is now called Perlman's reduced volume and Perlman's entropy.