FYI I can't see the Tex in Patrick's reply in the original Insights post.
Just trying to get a handhold (I would like to understand this)
"Suppose we have a function G(x) that depends on some parameter λ ie G(x,λ). Then, so perturbation theory can be used, expand it in a power series about λ:
G(x) = G0 + G1(x)*λ + G2(x)*λ^2 + …….."
Why isn't this written:
G(x,λ) = G0 + G1(x)*λ + G2(x)*λ^2 + …….. ?
But regardless, do I understand correctly that this is saying that G(x,λ) can be decomposed into a linear combination of functions { G }_{ i }(x) multiplied by powers of λ (That just what the power series expansion technique)?
(somewhat aside) It's been a long time since I learned about power series expansions. But they have always bugged me because of their dependence on "convergence at infinity". I get that there are lot's of key tools that use infinite limits. But it has been a regular thorn in my side. To be honest I always sort of associated the QM "infinities" problem with this... that you had to "sum over histories" but that there was effectively no limit to the terms in the sum. Only recently have I realized that the "energy level" is associated with the "cuttoff"."In perturbation theory, for theoretical convenience, it is usual to define a new function F(x) = (G(x) – G0)/G1 so:
F(x) = λ + F2(x) *λ^2 + …….."
Do I understand correctly that this just normalizes (scales) the "power series representation of G(x,λ)" to the difference between the first to constants of expansion of G(x,λ)?
"Suppose λ is small, then F(x) = λ, F has the dimensions of λ, so is dimensionless"
...This is also seen by its definition where G(x) – G0 is divided by G1(x). But let's expand F2(x) in a power series about x so F2(x) = F20 + F21*x + F22*x^2 + ……. = F20 + F21*x + O(x^2). Suppose x is small, so O(x^2) can be neglected, then F2(x) has the dimensions of x, hence to second order of λ, F(x) has the dimensions of x. Here we have a dimensional mismatch. This is the exact reason the equations blow up – in order for it to be dimensionless it can't depend on x. This can only happen if F2(x) is a constant or infinity. Either of course is death for our theory – but nature seemed to choose infinity – the reason for which will be examined later.This is because powers of small numbers go to zero in the limit, correct?
I guess I find this confusing because (at least in the software I use) I wouldn't be able to get away with just assuming the "dimension" x of my expression therefore completely vanishes? The software won't "automatically start to neglect the dimension-ality of a system just because the value of the Range in that dimension is ensie-weensie, or whatever. This has always seemed onto-logically correct to me. Nor will it automatically add dimension.
I can declare something "Dimensional" to be suddenly "Dimensionless", change length into Btu's or whatever). After all it's just a computer, I can make it do whatever I want. But it seems telling to me that without instructions for how/when/where to do this, the computer can't "automatically" do so .
I guess I have assumed this was for a pretty deep reason, that somehow logically there is simply not enough information in any scalar value alone (even zero) to determine it's dimensionality (or lack thereof)?
Still reading (and re-reading).
[Edit] I think this is clicking. Now "x" is a number of apples in the world of apples "Λ" :
"Now for the solution. The only way to avoid this is to divide x by some parameter, Λ, of the same units as x, so it becomes dimensionless.
The correct equation is:
F(x/Λ) = λ + F2(x/Λ) *λ^2 + F2(x/Λ) *λ^2 +………+ Fi(x/Λ) *λ^i + ……………
We see, due to dimensional analysis of the perturbation methods used, we have neglected a parameter in our theory, which can be interpreted as a cut-off. It is this oversight that has caused the trouble all along."
I'm interested to see where the log's come from now...
But... must... eat...