Question about expanding a square root in powers of gradient

In summary: No, there's no explicit proof, but it's a logical consequence of the fact that a derivative is a function which depends on a distance from its point of origin.
  • #1
tut_einstein
31
0
Hi,

I have a quick question about making quantum mechanics relativistic by simply replacing the hamiltonian by a relativistic hamiltonian. If we write the hamiltonian operator as:

H = [itex]\sqrt{P2c2 + m2c4}[/itex],

schrodinger's equation in position basis becomes:

i[itex]\hbar[/itex][itex]\dot{\psi}[/itex] = [itex]\sqrt{-\hbar2c2\nabla2 + m2c4}[/itex][itex]\psi[/itex]

If you expand the square root in powers of nabla, you get an infinite number of gradients. I remember reading that an infinite number of spatial gradients acting on psi implies that the theory is non-local (I don't recall where I read this, but it might be in Mark Srednicki's QFT textbook.) I don't get the jump of logic in saying that an infinite number of gradient operators implies a non-local theory. I think I've come across similar arguments in other contexts in QFT (I'm sorry, I don't recall specifically which ones).

Could someone please explain to me what I am missing here?

Thanks!
 
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  • #2
Well,that just goes back to the definition of a derivative
For a first derivative,you take two points,calculate the difference of the value of the function at those points and divide by the separation of points.So for the first derivative at a point,you need to consider two points,one the point in which you want the derivative and the other,another point at its vicinity.For second derivative you need one more point and so on,the number of points increases and the points get farther from the point you want the derivative on.So the more the order of derivatives,the behaviour of a point depends on farther and farther points which makes such theories non local.
 
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  • #3
Here's a suggestive argument:

By Taylor expansion, we can write

f(x + a) = f(x) + a f'(x) + (1/2)a^2 f''(x) + (1/6)a^3 f'''(x) + ...

where to get equality we need an infinite number of derivatives. The right hand side looks local (it looks like it only refers to the properties of f at the point f) but is actually nonlocal (it actually depends on the properties of f at some distance from x).
 
  • #4
Maybe I misunderstood what you meant in your last post The_Duck but what about the kinetic term in the Lagrangian - ##\partial_{\mu}\phi \partial^{\mu} \phi##? By the same logic, wouldn't this also be non-local? I am curious to the original question as I have thought about the same thing. I can see how a derivative could be viewed as non-local from its definition (we compare infinitesimally close points etc.), so what is the difference when it is inside a square root -- and why isn't the kinetic term non-local?
 
  • #5
kloptok said:
Maybe I misunderstood what you meant in your last post The_Duck but what about the kinetic term in the Lagrangian - ##\partial_{\mu}\phi \partial^{\mu} \phi##? By the same logic, wouldn't this also be non-local?

I was using the Taylor expansion as something that has an *infinite* number of derivatives and is therefore nonlocal, as we can see from the fact that this infinite number of derivatives combines to give us the value of the function at a finite distance from the original point x. A standard kinetic term with only two derivatives does not give rise to anything like this.

kloptok said:
I can see how a derivative could be viewed as non-local from its definition (we compare infinitesimally close points etc.),

No, comparing points at infinitesimal separations is "local" in the sense discussed here. Comparing points at *finite* separations isn't.
 
  • #6
Alright, that convinces me! I suspected that infinitesimal separations would still be considered "local". Thanks!
 
  • #7
Thanks Shyan and TheDuck, I understand that infinitesimal distances away from a given point isn't considered non-local, which is why the kinetic term isn't non-local. But if we expand the square root of the gradient, why can't we do the taylor expansion assuming that the displacement from a given point is infinitesimal?

So, I guess my point of confusion is that why is it that when there are an *infinite* number of derivatives, the theory is considered non-local, while for a finite number of derivatives, it isn't?
 
  • #8
I think even finite order derivatives with order greater than 2 can cause non locality.But that's just what I think.Is there a proof about it?
 

1. What is the purpose of expanding a square root in powers of gradient?

The purpose of expanding a square root in powers of gradient is to simplify a mathematical expression involving a square root. This allows for easier computation and analysis of the expression.

2. How do you expand a square root in powers of gradient?

To expand a square root in powers of gradient, we can use the binomial theorem. This involves breaking down the expression into smaller terms and using the binomial coefficients to expand each term.

3. Can expanding a square root in powers of gradient be used in real-world applications?

Yes, expanding a square root in powers of gradient can be useful in various fields such as physics, engineering, and economics. It can be used to simplify equations and solve problems involving rates of change.

4. Are there any limitations or restrictions when expanding a square root in powers of gradient?

Yes, there are limitations when expanding a square root in powers of gradient. The expression must involve a square root and a variable raised to a power. Additionally, the powers must be positive integers.

5. Are there any alternative methods to expanding a square root in powers of gradient?

Yes, there are alternative methods to expanding a square root in powers of gradient. One method is to use the Taylor series expansion, which involves using derivatives to approximate the value of the expression. Another method is to use the conjugate of the square root expression to simplify it.

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