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Terence Tao

πŸ‘€ Speaker
3220 total appearances

Appearances Over Time

Podcast Appearances

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And as you mentioned, the Navier-Stokes equation is what's called critical.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

The effect of transport and the effect of viscosity are about the same strength, even at very, very small scales.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

And we have a lot of technology to handle critical and also subcritical equations and improve regularity.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

But for supercritical equations, it was not clear what was going on.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

and i did a lot of work and then there's been a lot of follow-up showing that for many other types of super critical equations you can create all kinds of blow-up examples once the non-linear effects dominate the linear effects at small scales you can have all kinds of bad things happen so this is sort of one of the main insights of this this line of work is that super criticality versus criticality and sub-criticality this this makes a big difference i mean that's a key qualitative feature that distinguishes

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Some equations were being sort of nice and predictable and, you know, like planetary motion.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

I mean, there's certain equations that you can predict for millions of years or thousands at least.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Again, it's not really a problem, but there's a reason why we can't predict the weather past two weeks into the future because it's a super critical equation.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Lots of really strange things are going on at very fine scales.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Yeah, and if non-linearity is somehow more and more featured and interesting at small scales.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

There's many equations that are non-linear, but in many equations you can approximate things by the bulk.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

For example, planetary motion, if you want to understand the orbit of the Moon or Mars or something, you don't really need the microstructure of the seismology of the Moon or exactly how the mass is distributed.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

You can almost approximate these planets by point masses.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Just the aggregate behavior is important.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

But if you want to model a fluid, like the weather, you can't just say in Los Angeles, the temperature is this, the wind speed is this.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

For supercritical equations, the finite scale information is really important.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Can you describe this idea?

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

Right, yeah.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

So this came out of this work of constructing this average equation that blew up.

Lex Fridman Podcast
#472 – Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI

So one...