- [[#\(\phi^4\) theory renormalisation ---]]
- #(Digression) Integrals over arbitrary dimensions ---
- [[#Next look at \(\Gamma^{(4)}\)]]
- #Feynman parameterization ---
- #2-loop diagrams ---
- #Putting All together :
- #Renormalisation ---
- #Puzzle :
- #The 1 P I 4 pt. function ---
Prof. Sachindeo Vaidya (CHEP, IISc) | PDF
Previous: Lecture 9
Next: Lecture 12
Here \(m\) is bare mass in place of \(\mu\).
\(\mu\) is introduced to make action dimensionless. \& \(\lambda\) dimensionless in each `\(2w\)' dim.
(margin working)
- \(2 + 2[\varphi] - 2w = 0\)
- \(-2w + 4[\varphi] + n(2) = 0\) \[ -2w + 4(w-1) + 2n = 0\ ;\qquad 2n \;=\; 2w - 4(w-1)\ ;\qquad 2n \;=\; -2w + 4\ ;\qquad \underline{n \;=\; 2-w} \]
Minor changes in Feynman Rules :
- Scalar product of \(k_1\) \& \(k_2\) is summed over \(2w\) components. \[ k_1\cdot k_2 \;=\; k_1^0 k_2^0 - \left(\vec{k}_1\cdot\vec{k}_2\right)_{\text{in }(2w-1)\text{ dim}} \]
- vertex \(-\lambda\ \longrightarrow\ -\lambda\left(\mu^2\right)^{2-w}\)
let's look at tadpole diagram ---
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-1.5,0) -- (1.5,0);
\draw[->] (-0.6,0) -- (-0.35,0);
\draw (0,0.3) circle (0.30);
\node[scale=0.85] at (0.45,0.5) {$\ell$};
\node[scale=0.85] at (-0.7,-0.3) {$p$};
\end{tikzpicture}
\[
T \;=\; \frac{1}{2}\,(-\lambda)\left(\mu^2\right)^{2-w}\int\frac{d^{2w}\ell}{(2\pi)^{w}}\ \frac{1}{\left(\ell^2+m^2\right)}
\hspace{2em}\text{---(1)}
\]
(\(\tfrac{1}{2}\) : from where ?)
goto polar coordinates --- \(\left(\ell_1, \ell_2 \ldots \ell_N\right)\ \downarrow\ \left(L, \phi, \theta_1, \theta_2, \ldots \theta_{N-2}\right)\)
Standard Formulae ---
\(\left\{A(2)\ \text{of Ramond QFT}\right\}\)
For \(y=\frac{1}{2}\)
So,
For \(F = (x+a)^{-A}\) ; \(A = 2,3,\ldots\)
Recall,
\(\left\{\text{Re}\left(N/2\right)>0\ ;\ \text{Re}\left(A-N/2\right)>0\right\}\)
We take this formula valid to complex values of \(N\) by analytic continuation.
Another integral we need --- (we are doing in euclidean signature)
\(\downarrow\) (\(p\) is an) Arbitrary vector.
(margin note) Such Formula arrives in
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\begin{tikzpicture}[scale=0.95,>=Stealth]
\draw (-1.5,0.7) .. controls (-0.8,0.05) and (-0.2,0.05) .. (0.5,0.7);
\draw (-1.5,-0.7) .. controls (-0.8,-0.05) and (-0.2,-0.05) .. (0.5,-0.7);
\draw (-0.95,0.28) .. controls (-0.6,-0.18) .. (-0.1,-0.32);
\draw (-0.95,-0.28) .. controls (-0.6,0.18) .. (-0.1,0.32);
\node[scale=0.8] at (-1.75,0.85) {$p_1$};
\node[scale=0.8] at (-1.75,-0.85) {$p_2$};
\node[scale=0.8] at (0.75,0.85) {$p_3$};
\node[scale=0.8] at (0.75,-0.85) {$p_4$};
\node[scale=0.8] at (-0.5,0.62) {$q$};
\node[scale=0.8] at (-0.5,-0.62) {$p-q$};
\node[scale=0.9] at (2.4,0) {$p = p_1+p_2$};
\end{tikzpicture}
Considering \(A\) can take complex values.
expand it (1) ; \(\searrow\) pole at \(w=1\).
(margin working)
Expand about \(\underline{2-w}\ (\equiv \epsilon)\)
pole term from lowest series \(\downarrow\)
- The divergence in \(T\) \(\sim\) simple pole (in \(\epsilon\))
- The finite part is completely arbitrary. (depends on \(\mu^2\)) as different people have diff. values of \(\mu\).
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-1.9,0.8) .. controls (-1.0,0.05) and (-0.4,0.05) .. (0.5,0.8);
\draw (-1.9,-0.8) .. controls (-1.0,-0.05) and (-0.4,-0.05) .. (0.5,-0.8);
\draw (-1.25,0.32) .. controls (-0.85,-0.2) .. (-0.25,-0.36);
\draw (-1.25,-0.32) .. controls (-0.85,0.2) .. (-0.25,0.36);
\node[scale=0.8] at (-2.15,0.95) {$p_1$};
\node[scale=0.8] at (-2.15,-0.95) {$p_2$};
\node[scale=0.8] at (0.75,0.95) {$p_3$};
\node[scale=0.8] at (0.75,-0.95) {$p_4$};
\node[scale=0.8] at (-0.75,0.55) {$p-\ell$};
\node[scale=0.8] at (-0.75,-0.55) {$\ell$};
\node[scale=0.9] at (2.3,0.5) {$\left(\textstyle\sum p_i = 0\right)$};
\end{tikzpicture}
\[
=\; \frac{+1}{2}\,(-\lambda)^2\left(\mu^2\right)^{4-2w}\int\frac{d^{2w}\ell}{(2\pi)^{2w}}\ \frac{1}{\left(\ell^2+m^2\right)}\ \frac{1}{\left(\ell-p\right)^2+m^2}
\]
\(\left(P = p_1+p_2\right)\)
\(\downarrow\ (\ell-p)^2\) (?)
So, the bubble is
use,
Expand in powers of \(\epsilon\) \((=2-w)\) :
The finite part depends upon \(\mu^2\) \& \(p\) (ext. momentum)
We know
Using above,
(To be done!)
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-1.7,0) -- (0.6,0);
\draw (-0.55,0.30) circle (0.30);
\draw (-0.55,0.85) circle (0.25);
\node[scale=0.8] at (-0.15,1.0) {$\ell$};
\node[scale=0.8] at (-0.15,0.35) {$q$};
\node[scale=0.85] at (-1.4,-0.3) {$p$};
\end{tikzpicture}
\[
=\; \frac{\lambda^2}{4}\left(\mu^2\right)^{4-2w}\int\frac{d^{2w}\ell}{(2\pi)^{2w}}\ \frac{1}{\left(\ell^2+m^2\right)}
\int\frac{d^{2w}q}{\left(q^2+m^2\right)\left(q^2+m^2\right)}
\]
Subleading part \(\downarrow\)
The other 2-loop diagram ---
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-2.4,0) -- (-0.75,0);
\draw[->] (-1.8,0) -- (-1.6,0);
\draw (0,0) circle (0.75);
\draw (-0.75,0) -- (0.75,0);
\draw[->] (-0.1,0) -- (0.1,0);
\draw[->] (0.05,0.75) -- (0.25,0.72);
\draw[->] (0.25,-0.72) -- (0.05,-0.75);
\draw (0.75,0) -- (2.4,0);
\draw[->] (1.6,0) -- (1.8,0);
\node[scale=0.85] at (-1.7,-0.3) {$p$};
\node[scale=0.85] at (1.8,-0.3) {$p$};
\node[scale=0.85] at (0.35,0.95) {$\ell$};
\node[scale=0.85] at (0.35,-0.95) {$q$};
\end{tikzpicture}
\[
\Sigma(p) \;=\; \frac{\lambda^2}{6}\left(\mu^2\right)^{4-2w}\int\left\{\frac{d^{2w}\hat{\ell}}{(2\pi)^{2w}}\ \frac{d^{2w}\check{q}}{(2\pi)^{2w}}\
\frac{1}{\left(\ell^2+m^2\right)}\ \frac{1}{\left(q^2+m^2\right)}\ \frac{1}{\left(\left(P-\ell+q\right)^2+m^2\right)}\right\}
\]
\[
\text{use}\qquad \frac{1}{4w}\left(\frac{\partial \ell_\mu}{\partial \ell_\mu} + \frac{\partial q_\mu}{\partial q_\mu}\right) \;=\; 1
\qquad \left(\downarrow 2w\ ,\ \downarrow 2w\right)
\]
(margin working)
Integrate by parts
Using Feynman parameterization ---
do the \(\ell\)-integral first
Comparing \(A=2\) \(\left(\Gamma(2) = 1! = 1\right)\)
use Feynman parameterization once more to deal with
- DR allows us to do more than one loop calculations.
-
In \(\varphi^3\) theory counterterm kills the tadpole but not the following two :
\usetikzlibrary{arrows.meta,decorations.pathreplacing,decorations.pathmorphing,calc,angles,quotes,positioning,patterns} \begin{tikzpicture}[scale=1.0,>=Stealth] \draw (-3.0,-0.5) -- (-3.0,0.1); \draw (-3.0,0.35) circle (0.25); \node[scale=0.85] at (-2.2,-0.1) {but not}; \draw (-1.4,0) -- (0.2,0); \draw (-0.6,0) ellipse (0.35 and 0.20); \node[scale=0.85] at (0.6,-0.1) {\&}; \draw (1.6,0.6) -- (1.05,-0.35); \draw (1.6,0.6) -- (2.15,-0.35); \draw (1.25,-0.05) -- (1.95,-0.05); \end{tikzpicture}
do the \(q\) integral first,
Expand around \(\epsilon=0\) \((w=2)\).
We have to isolate poles from finite part.
Expand the integral about \(\epsilon=0\)
Now, Evaluate \(K_\mu(p)\) similarly \(\left\{\text{Mathew's \& walker metn}\right\}\)
Since we are working in Euclidean metric. \(\left(K_\mu = K^\mu\right)\).
Again expand around \(\epsilon=0\).
poles in `\(\epsilon\)' can be eliminated order by order in \(\lambda\).
\(\left(\hat{\lambda} \equiv \dfrac{\lambda}{16\pi^2}\right)\) , \(\hat{m}^2 = \dfrac{m^2}{16\pi^2\mu^2}\)
Look at the tadpole digram ---
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-1.3,0) -- (1.3,0);
\draw (0,0.28) circle (0.28);
\end{tikzpicture}
\[
=\; m^2\,\frac{\hat{\lambda}}{2}\left(\frac{1}{\epsilon} + \psi(2) - \ln\hat{m}^2 + O(\epsilon)\right)\hspace{2em}\text{---(3)}
\]
\(\nwarrow\) divergent as \(\epsilon\to 0\) ; finite \(F_1\left(\epsilon,m^2\right)\)
Original lagrangian
(\(\longleftarrow\) bare mass ; the counterterm vertex is drawn as a cross with coefficient \(g\))
(Choose coff \(g\) such that Counter term kills off divergence in the tadpole digram.)
Actually, Bare \(\mathcal{L}\) itself is not defined as \(\epsilon\to 0\) bare parameters depend on \(\epsilon\).
Add an extra term
, where \(F_1\) is arbitrary (dimensionless) function, analytic as \(\epsilon \to 0\).
Finite part is dependent on renormalization scheme, but we expect it to be same, wheather we do cut off renormalisation or DR. So how to reconcile ?
Our \(\mathcal{L}\) looks like :
\(\downarrow\) Tree level contribution
This \(\mathcal{L}\) has extra Feynman rule ---
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\draw (-1.3,0) -- (1.3,0);
\node at (0,0.05) {$\times$};
\end{tikzpicture}
\[
=\; -\frac{1}{2}\,m^2\hat{\lambda}\left(\frac{1}{\epsilon}+F_1\right)\hspace{2em}\text{---(4)}
\]
Lets compute \(\Gamma^{(2)}\) or inverse propagator ---
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\begin{tikzpicture}[scale=1.0,>=Stealth]
\node at (-4.6,0) {$\Gamma^{(2)}_{\text{new}} \;=\;$};
\draw (-3.7,0) -- (-2.6,0);
\node at (-2.25,0) {$+$};
\draw (-1.9,0) -- (-0.8,0);
\draw (-1.35,0.25) circle (0.25);
\node at (-0.45,0) {$+$};
\draw (-0.1,0) -- (1.0,0);
\node at (0.45,0.05) {$\times$};
\node at (1.8,0) {$+\ O(\lambda)$};
\end{tikzpicture}
eq (3) \(\downarrow\)
\(\longrightarrow\) means upto one loop.
2 pt. Fun. is now finite (upto order \(\hat{\lambda}\))
The extra term is called counterterm \(\left(\frac{m^2}{4}\hat{\lambda}\left(\frac{1}{\epsilon}+F_1\right)\right)\)
look at \(O\left(\lambda^2\right)\)
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\draw (-6.6,-0.8) -- (-5.6,0.8);
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\draw (-6.32,0.0) -- (-6.05,0.36);
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\draw (-4.4,-0.8) -- (-3.4,0.8);
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\draw (-1.95,-0.32) .. controls (-1.6,0.2) .. (-1.1,0.34);
\node at (-0.2,0) {$+$};
\draw (0.3,0.8) .. controls (0.9,0.3) .. (1.15,0.0);
\draw (0.3,-0.8) .. controls (0.9,-0.3) .. (1.15,0.0);
\draw (1.15,0.0) .. controls (1.45,0.3) .. (2.0,0.8);
\draw (1.15,0.0) .. controls (1.45,-0.3) .. (2.0,-0.8);
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\draw (3.0,-0.8) -- (4.8,0.8);
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\node[align=center,scale=0.85] at (-3.9,-1.6) {$\downarrow$\\ Not 1PI (?)};
\end{tikzpicture}
\[
\Gamma^{(4)}\left(p_1,p_2,p_3,p_4\right) \;=\; -\mu^{2\epsilon}\lambda\left(1 - \frac{3\hat{\lambda}}{2}\left(\frac{1}{\epsilon} + \psi(1) + 2 + \ln\hat{m}^2\right.\right.
\]
\[
\left.\left. -\ \frac{1}{3}A\left(s,t,u\right) + O(\epsilon)\right)\right) + O\left(\lambda^3\right)
\]
\[
A\left(s,t,u\right) \;=\; \sum_{z=s,t,u}\left(1+\frac{4m^2}{z}\right)^{1/2}
\ln\left(\frac{\left(1+\frac{4m^2}{z}\right)^{1/2}+1}{\left(1+\frac{4m^2}{z}\right)^{1/2}-1}\right)
\]
\(s,t,u\) are mendelstam variables
\(\left(\Gamma^{(4)}\ \text{diverges as } \frac{1}{\epsilon}\right)\)
So we add a counterterm to \(\mathcal{L}\) of the form ---
\(\downarrow\) arbitrary but analytic as \(\epsilon\to 0\).
One more Feynman rule gets to be added due to counterterm.
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\begin{tikzpicture}[scale=1.0,>=Stealth]
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\draw (-0.7,-0.6) -- (0.7,0.6);
\fill (0,0) circle (1.4pt);
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\[
=\; -\frac{3}{2}\,\mu^{2\epsilon}\lambda\,\hat{\lambda}\left(\frac{1}{\epsilon}+G_1\right)
\]
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\begin{tikzpicture}[scale=0.9,>=Stealth]
\node at (-6.4,0) {$\Gamma^{4}_{(\text{new})} \;=\;$};
\draw (-5.4,0.6) -- (-4.2,-0.6);
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\draw (-2.95,-0.25) .. controls (-2.65,0.15) .. (-2.2,0.27);
\node at (-1.4,0) {$+$};
\draw (-1.0,0.6) .. controls (-0.5,0.2) .. (-0.3,0.0);
\draw (-1.0,-0.6) .. controls (-0.5,-0.2) .. (-0.3,0.0);
\draw (-0.3,0.0) .. controls (-0.05,0.2) .. (0.4,0.6);
\draw (-0.3,0.0) .. controls (-0.05,-0.2) .. (0.4,-0.6);
\node at (0.8,0) {$+$};
\draw (1.2,0.6) -- (2.8,-0.6);
\draw (1.2,-0.6) -- (2.8,0.6);
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\draw (3.6,-0.6) -- (4.8,0.6);
\fill (4.2,0) circle (1.2pt);
\end{tikzpicture}
\[
\Gamma^{(4)}_{\text{new}}\left(p_1,p_2,p_3,p_4\right) \;=\; -\mu^{2\epsilon}\lambda\left(1 - \frac{3}{2}\hat{\lambda}\left(-G_1 + \psi(1) + 2 + \ln\hat{m}^2\right.\right.
\]
\[
\left.\left. -\ \frac{1}{3}A\left(s,t,u\right)\right) + O(\epsilon)\right) + O\left(\lambda^3\right).
\]
Now divergence is gone!
We need only to renormalize \(\Gamma^{(2)}\) \& \(\Gamma^{(4)}\) then all 8 point \& 16 point functions