strangerep said:
If x and y are independent variables, then so are [itex]z[/itex] and [itex]z^*[/itex].
This is straight calculus, not sloppy assumptions.
I'm not convinced by that argument. I don't see anything wrong with your calculations, but I also don't see how they answer jostpuur's concern. Clearly there's something very strange about saying that [itex]\phi^*(x)[/itex] is the complex conjugate of [itex]\phi(x)[/itex] for all x and
then saying that [itex]\phi[/itex] and [itex]\phi^*[/itex] are two independent functions to be determined by a condition we impose on the action. Hmm...I suppose that
if we can show that the map [itex](f,g)\mapsto S[f,g][/itex] is minimized only by pairs (f,g) such that g(x)=f(x)* for all x, then there's no problem, because then we have
derived the relationship between [itex]\phi[/itex] and [itex]\phi^*[/itex] rather than assumed it. (I wrote that sentence after all the stuff below, so I haven't had time to think about whether this is the case).
I decided to take a closer look at your calculations, to see if I can find out how, or if, they're relevant. It seems that all I accomplished was to show that if you make sure that you know what functions are involved in your calculation, and at what points they're evaluated, there's no need to do the calculation at all. I had already typed most of this when I understood that it doesn't add all that much to the discussion, so I thought about throwing it away, but since I think it adds
something, I figured I might as well post it:
We're interested in the derivative [itex]\partial z/\partial z^*[/itex]. The first thing we need to do is to think about what this expression means. To find a derivative, we need to know what function we're taking the derivative of. We also need to know at what point in the derivative's domain the derivative is to be evaluated.
We seem to be talking about the projection function [itex](\alpha,\beta)\mapsto\alpha[/itex], and points in the domain of the form (z,z*) (i.e. points such that the value of the second variable is the complex conjugate of the value of the first). So I interpret [itex]\partial z/\partial z^*[/itex] to mean this:
[tex]\frac{\partial z}{\partial z^*}=D_2\big|_{(z,z^*)}\Big((\alpha,\beta)\mapsto \alpha\Big)[/tex]
This is of course trivially =0. So there's nothing to prove, and yet it looks like you have proved
something. Now we just have to figure out what you proved.
We make the following definitions:
[tex]u(x,y)=x+iy[/tex]
[tex]v(x,y)=x-iy[/tex]
[tex]h(\alpha,\beta)=\frac{\alpha+\beta}{2}[/tex]
[tex]k(\alpha,\beta)=\frac{\alpha-\beta}{2i}[/tex]
These can all be thought of as functions from ℂ
2 into ℂ, but we will of course be especially interested in the restrictions of u and v to ℝ
2, and h and k evaluated at points of the form (z,z*).
Any complex number [itex]\alpha[/itex] can be expressed as [itex]\alpha=u(x,y)[/itex] for some x,y in ℝ. This equality and the definitions above imply that
[tex]\alpha=u(h(\alpha,\alpha^*),k(\alpha,\alpha^*))[/tex]
So
[tex]\frac{\partial z}{\partial z^*}=D_2\big|_{(z,z^*)}\Big((\alpha,\beta)\mapsto \alpha\Big) =D_2\big|_{(z,z^*)}\Big((\alpha,\beta)\mapsto u(h(\alpha,\alpha^*),k(\alpha,\alpha^*))\Big)[/tex]
We're going to use the chain rule now, and the notation becomes less of a mess if we define
[tex]f(\alpha,\beta)=u(h(\alpha,\beta),k(\alpha,\beta))[/tex][tex]\frac{\partial z}{\partial z^*}=D_2(u\circ f)(z,z^*)=D_1u(f(z,z^*))\, D_2h(z,z^*)+D_2u(f(z,z^*))D_2k(z,z^*)[/tex]
[tex]=1\frac{1}{2}+i\frac{-1}{2i}=0[/tex]
This seems to be the same calculation you did, except that I kept track of what functions are involved, and at what points they're evaluated. To be able to do that, I had to start with an expression that's
obviously equal to 0, so the chain rule doesn't tell us anything new.