What is the relationship between Feynman diagrams and the mass of an electron?

  • Context: Graduate 
  • Thread starter Thread starter quasar987
  • Start date Start date
  • Tags Tags
    Mass
Click For Summary

Discussion Overview

The discussion revolves around the relationship between Feynman diagrams and the mass of an electron, particularly focusing on the implications of summing these diagrams and the concept of divergence in quantum electrodynamics (QED). Participants explore theoretical aspects, mathematical reasoning, and the historical context of these ideas.

Discussion Character

  • Exploratory
  • Technical explanation
  • Debate/contested
  • Mathematical reasoning

Main Points Raised

  • Some participants mention that summing all Feynman diagrams for the electron leads to a divergence, while a finite number of terms matches the experimentally measured mass.
  • One participant refers to a proof by Dyson regarding the perturbation expansion in powers of the coupling constant diverging, suggesting it is an asymptotic expansion.
  • Another participant questions whether the divergence in QED is considered a major flaw.
  • Some argue that asymptotic expansions are valid for obtaining accurate results, even if they diverge when extended infinitely.
  • A participant introduces the concept of divergent series and relates it to mathematical properties, mentioning Ramanujan's work.
  • Another participant shares an analogy involving the Taylor series approximation of the cumulative standard normal distribution function, drawing parallels to renormalization and the handling of infinities.

Areas of Agreement / Disagreement

Participants express differing views on the implications of divergence in Feynman diagrams and whether it constitutes a flaw in QED. There is no consensus on the interpretation of these divergences or the status of the problems they present.

Contextual Notes

Participants reference the mathematical nature of divergent series and the historical context of QED without resolving the underlying assumptions or mathematical steps involved in these discussions.

quasar987
Science Advisor
Homework Helper
Gold Member
Messages
4,796
Reaction score
32
I remember a physics teacher I had in college telling me that... (what follows is obscure but it's what he said)... "If you add all the Feynman diagrams for the electron, the sum, representing its mass, DIVERGE! On the other hand, if you consider only the first few terms of the sum, it matches very well the experimentally measured mass."


Can someone tell me what's true and what's not in what he said and how does one goes from Feynman diagrams to what seems to be (judging by the terms he used) a normal sum (\Sigma).
 
Physics news on Phys.org
quasar987 said:
I remember a physics teacher I had in college telling me that... (what follows is obscure but it's what he said)... "If you add all the Feynman diagrams for the electron, the sum, representing its mass, DIVERGE! On the other hand, if you consider only the first few terms of the sum, it matches very well the experimentally measured mass."


Can someone tell me what's true and what's not in what he said and how does one goes from Feynman diagrams to what seems to be (judging by the terms he used) a normal sum (\Sigma).
A Feynman diagram is really just a representation of a certain calculation; For details try searching for Feynman rules.
 
I somewhat found the answer to this question (it was my second post on PF, haha). Feyman mentions it in the last of his 4 lectures on QED as the first main problem of the theory. Has this problem of QED been solved today?

What about the coupling constant 'c'? Has it been explained why it is what it is?
 
quasar987 said:
I remember a physics teacher I had in college telling me that... (what follows is obscure but it's what he said)... "If you add all the Feynman diagrams for the electron, the sum, representing its mass, DIVERGE! On the other hand, if you consider only the first few terms of the sum, it matches very well the experimentally measured mass."


Can someone tell me what's true and what's not in what he said and how does one goes from Feynman diagrams to what seems to be (judging by the terms he used) a normal sum (\Sigma).

Your teacher was probably referring to a proof by Dyson that the perturbation expansion in powers of e diverges, and is probably an asymptotic expansion. Such expansions can give accurate results for a small number of terms, but diverge if carried to an infinite number of terms.
 
Yes, that's what he said. Is this considered a major flaw in QED?
 
No, because any expansion, even a convergent one, would be an approximation.
Asymptotic expansions are a mathematically valid way of getting accurate results, although not of infitesimal accuracy. There are non-perturbative approaches to QED, but even they would ultimately require numerical approximations, probably less accurate than perturbation theory. Also, in the coupled electro-weak theory,
there are cancellations at high Q^2 that remove the mass divergence.
 
quasar987 said:
"If you add all the Feynman diagrams for the electron, the sum, representing its mass, DIVERGE! On the other hand, if you consider only the first few terms of the sum, it matches very well the experimentally measured mass."

There's a branch of now somewhat obscure mathematics called "divergent series" that has just this sort of property. It is the subject that got Ramanujan an invitation to study mathematics under Hardy, and included the infamous result used in string theory:

1+2+3+4+... = -\frac{1}{12}

http://math.furman.edu/~dcs/courses/math15/lectures/lecture-14.pdf

Anyway, with divergent series, the first n terms converge rapidly, but the later series cause the series to diverge drastically.

I got reminded of this recently when I added the exponential function to my Geometric algebra calculator (which is written in Java). We all know that e^-\kappa goes to zero as \kappa goes to (plus) infinity. This result can be generalized for \kappa a matrix. For example, if

\psi = \left( \begin{array}{cc}<br /> 1 &amp; 0 \\ 0 &amp; 0 \end{array} \right)

then e^{-\kappa \psi} doesn't quite go to zero as \kappa goes to infinity, but it goes to something similar.

Anyway, it was a small surprise to me when my series for exponential diverged badly when I took the limit as \kappa goes to infinity for something that is similar to the \psi above.

Uh, the exponential function is not an example of a divergent series, but I got reminded of the subject nevertheless.

Carl
 
I'm reminded of the first time I tried to approximate the cumulative standard normal distribution function by a Taylor series.

The function I wanted to compute was essentially:

<br /> f(x) = \int_{-\infty}^x e^{-t^2} \, dt<br />

So, I simply replaced the exponential with its Taylor series, and swapped order of sum and integral:

f(x) = \int_{-\infty}^x \sum_{n = 0}^{\infty} \frac{(-1)^n}{n!} t^{2n} \, dt
f(x) = \sum_{n = 0}^{\infty} \int_{-\infty}^x \frac{(-1)^n}{n!} t^{2n} \, dt

which is easy enough to "compute":

f(x) = \sum_{n = 0}^{\infty} \left[ \frac{(-1)^n}{n!} \frac{t^{2n+1}}{2n+1} \right]_{-\infty}^x
f(x) = \sum_{n = 0}^{\infty} \left(\frac{(-1)^n}{n!} \frac{x^{2n+1}}{2n+1} + (-1)^n \infty \right)

But, I figure all the infinities just add up to a constant, and I know what f(0) is supposed to be, so I collect them into a single term and write:

f(x) = f(0) + \sum_{n = 0}^{\infty} \frac{(-1)^n}{n!} \frac{x^{2n+1}}{2n+1}


Of course, the right way to do this is to break the integral up into the ranges (-∞, 0] and [0, x], which I eventually figured out once I got that final sum, but this struck me as being analogous to what I've heard about renormalization: collecting the infinities into something that was "known".
 

Similar threads

  • · Replies 5 ·
Replies
5
Views
3K
  • · Replies 28 ·
Replies
28
Views
5K
  • · Replies 2 ·
Replies
2
Views
4K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 140 ·
5
Replies
140
Views
4K
  • · Replies 134 ·
5
Replies
134
Views
12K
  • · Replies 4 ·
Replies
4
Views
3K
  • · Replies 10 ·
Replies
10
Views
2K
  • · Replies 23 ·
Replies
23
Views
3K
  • · Replies 26 ·
Replies
26
Views
22K