Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
They could measure mass and acceleration and force and so forth.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Newtonian mechanics, for example, I think it was MA, was the famous Newton's second law of motion.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Those were the primary objects.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
They gave them the central building in the theory.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It was only later, after people started analyzing these equations, that there always seemed to be these quantities that were conserved, in particular momentum and energy.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And it's not obvious that things happen in energy.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It's not something you can directly measure the same way you can measure mass and velocity.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But over time, people realized that this was actually a really fundamental concept.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Hamilton eventually, in the 19th century, reformulated Newton's laws of physics into what's called Hamiltonian mechanics.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
where the energy, which is now called the Hamiltonian, was the dominant object.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Once you know how to measure the Hamiltonian of any system, you can describe completely the dynamics, like what happens to all the states.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It really was a central actor, which was not obvious initially.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And this helped, actually, this change of perspective really helped when quantum mechanics came along.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Because the early physicists who studied quantum mechanics, they had a lot of trouble trying to
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
adapt their Newtonian thinking because everything was a particle and so forth to quantum mechanics because everything was a wave.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
It just looks really, really weird.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
Like you ask, what is the quantum vision if it was MA?
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
And it's really, really hard to give an answer to that.
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
But it turns out that the Hamiltonian, which was so
Lex Fridman Podcast
#472 โ Terence Tao: Hardest Problems in Mathematics, Physics & the Future of AI
secretly behind the scenes in classical mechanics, also is the key object in quantum mechanics.