Abstract
The functional renormalization group (FRG) is a particular implementation of the renormalization group concept which combines the functional methods of quantum field theory with the renormalization group idea of Kenneth Wilson. It interpolates smoothly between the known microscopic laws and the complex macroscopic phenomena in physical systems. It is a momentum-space implementation of the renormalization group idea and can be formulated directly for a continuum field theory—no lattice regularization is required. In most approaches one uses a scale-dependent Schwinger functional or scale-dependent effective action. The scale parameter acts similarly as an adjustable screw of a microscope. For large values of a momentum scale k or equivalently for a high resolution of the microscope, one starts with the known microscopic laws. With decreasing scale k or equivalently with decreasing resolution of the microscope, one moves to a coarse-grained picture adequate for macroscopic phenomena. The flow from microscopic to macroscopic scales is given by a conceptionally simple but technically demanding flow equation for scale-dependent functionals. A priori the method is non-perturbative and does not rely on an expansion in a small coupling constant.
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Notes
- 1.
The calculation in this section was performed with REDUCE 3.8.
- 2.
Private communication by Daniel Litim.
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Appendices
12.8 Programs for Chap. 12
The octave program in Listing 12.1 calculates the flow of the couplings \(E_k,\,\omega _k^2\), and λ k in the LPA approximation and the truncation with a 6 = 0. The flow begins at k = 105, but only the values of the couplings for k = 2 down to k = 0 are plotted.
Listing 12.1 Flow of couplings in polynomial LPA
1 function x=truncflowanho_lambda
2 # calculates the flow for even potentials projected onto
3 # quartic polynoms. At the cutoff E=0. The program asks
4 # for lambda at the cutoff in units of omega. The running
5 # of the effective couplings in the infrared is plotted.
6 # couplLambda=[0;-1;0]; # for 4th order polynomial
7 couplLambda=[0;-1;0;0;0;0;0]; # for 12th order polynomial
8 Nk=100000;disp=20;
9 couplLambda(3)=lambda;
10 k=linspace(10000,0,Nk);
11 #[coupl]=lsode("flowOpt4",couplLambda,k);
12 #[coupl]=lsode("flowCallan4",couplLambda,k);
13 [coupl]=lsode( "flowOpt12",couplLambda,k);
14 xh=coupl(Nk-disp:Nk,:,:);
15 kh=k(Nk-disp:Nk);
16 plot(kh,xh(:,1),kh,xh(:,2),kh,xh(:,3));
17 legend( ’E’, ’omega**2’, ’lambda’);
18 printf( "E0 = \t %4.4f\n",coupl(Nk,1));
19 printf( "E1 = \t %4.4f\n",coupl(Nk,1)+sqrt(coupl(Nk,2)));
20 endfunction
Listing 12.2 Called by program 12.1: optimal regulator, fourth-order polynomial
1 function coupldot=flowOpt4(coupl,k)
2 ksquare=k*k;
3 P=1/(ksquare+coupl(2));xh=ksquare*P/pi;
4 coupldot(1)=xh-1/pi;
5 coupldot(2)=-xh*P*coupl(3);
6 coupldot(3)=-6*coupldot(2)*P*coupl(3);
7 endfunction
Listing 12.3 Called by program 12.1: Callan-Symanzik regulator and fourth-order polynomial
1 function coupldot=flowCallan4(coupl,k)
2 P=1/(k*k+coupl(2));
3 rootP=k*sqrt(P);
4 coupldot(1)=0.5*(rootP-1);
5 coupldot(2)=-0.25*rootP*P*coupl(3);
6 coupldot(3)=-4.5*coupldot(2)*P*coupl(3);
7 endfunction
The functions defined in Listings 12.2, 12.3, and 12.4 are called by program 12.1 to calculate the flow for different regulators and truncation orders.
Listing 12.4 Called by program 12.1: optimal regulator and 12th-order polynomial
1 function coupldot=flowOpt12(coupl,k)
2 a0=coupl(1);a2=coupl(2);a4=coupl(3);a6=coupl(4);
3 a8=coupl(5);a10=coupl(6);a12=coupl(7);
4 ks=k*k;numflow1
5 P=1/(ks+a2);P2=P*P;P2pi=ks*P2/pi;P3=P*P2;P4=P*P3;
6 a4s=a4*a4;a4q=a4s*a4s;a6s=a6*a6;
7 coupldot(1)=-a2*P/pi;
8 coupldot(2)=-a4;
9 coupldot(3)=-a6+6*a4s*P;
10 coupldot(4)=-a8+30*a4*a6*P-90*a4s*a4*P2;
11 coupldot(5)=-a10+(56*a4*a8+70*a6s)*P\
12 -1260*a6*a4s*P2+2520*a4q*P3;
13 coupldot(6)=-a12+(90*a4*a10+420*a6*a8)*P\
14 -(3780*a8*a4s+9450*a6s*a4)*P2\
15 +75600*a4s*a4*a6*P3-113400*a4q*a4*P4;
16 coupldot(7)=(132*a4*a12+924*a8*a8+990*a10*a6)*P\
17 -(8910*a10*a4s+83160*a4*a6*a8+34650*a6s*a6)*P2\
18 +(332640*a8*a4s*a4+1247400*a4s*a6s)*P3\
19 -6237000*a4q*a6*P4+7484400*a4q*a4s*(P4*P);
20 coupldot(2:7)=P2pi*coupldot(2:7);
21 endfunction
The octave function 12.5 solves the partial differential equation for the scale-dependent effective potential in (12.31). It calls the function defined in Listing 12.6.
Listing 12.5 Flow of effective potential in LPA
1 function flowpde(a4)
2 # Solves the partial differential equation for the
3 # flow of the effective potential by rewriting it
4 # as a system of coupled ode’s. Calls fa.m
5 global Nq;
6 global dqsquareinv;
7 global W;
8 Nq=151;L=5;Nk=800;
9 q=linspace(-L,L,Nq);
10 a2=-1;
11 qsquare=q.*q;
12 dq=2*L/(Nq-1);
13 dqsquareinv=1/(dq*dq);
14 k=linspace(800,0,Nk);
15 V=0.5*a2*qsquare+a4*qsquare.*qsquare/24;
16 Veff=lsode( "fa",V,k);
17 u=Veff(Nk,:);
18 plot(q,V, ’r’,q,u, ’b’)
19 legend( ’Vclass’, ’Veff’);
20 [umin,index]=min(u);
21 upp=(u(index+1)+u(index-1)-2*u(index))*dqsquareinv;
22 printf( "\nE0 = %4.4f\nE1 = %4.4f \n",umin,umin+sqrt(upp));
23 endfunction
Listing 12.6 Called by program 12.5: right-hand side of ode
1 function xdot=fa(V,x)
2 global dqsquareinv;
3 global Nq;
4 global W;
5 xs=x*x;
6 W=dqsquareinv*(shift(V,1)+shift(V,-1)-2*V);
7 xdot=(xs./(xs+W)-1)/pi;
8 xdot(1)=0;
9 xdot(Nq)=0;
10 endfunction
12.9 Problems
12.1 (Weak-Coupling Expansion for Anharmonic Oscillator)
In this exercise we solve the truncated flow equations (12.35) for weak couplings λ∕ω 3 ≪ 1. First we introduce dimensionless variables:
-
(a)
Show that the truncated flow equations for the dimensionless variables read
$$\displaystyle \begin{aligned} \frac{d e_k}{dx}=-\frac{o_k^2}{\pi}\frac{1}{x^2+o_k^2},\quad \frac{d o^2_k}{dx}=-\frac{\ell_k}{\pi} \frac{24 x^2}{(x^2+o_k^2)^2},\quad \frac{d \ell_k}{dx}=\frac{144\ell_k^2}{\pi}\frac{x^2}{(x^2+o_k^2)^3} \;. \end{aligned}$$ -
(b)
For the harmonic oscillator with vanishing λ, we have e k = 1∕2, o k = 1, and ℓ k = 0. The initial conditions are e x→∞ = 0, o x→∞ = 1, and ℓ x→∞ = λ∕24ω 3. Thus for weak coupling the expansion has the form
$$\displaystyle \begin{aligned} \begin{array}{rcl} e_k& =&\displaystyle \alpha_0+\alpha_1\varepsilon+\alpha_2\varepsilon^2+\dots\\ o^2_k& =&\displaystyle \;\;1+\beta_1\varepsilon+\beta_2\varepsilon^2+\dots\\ \ell_k& =&\displaystyle \hskip10.5mm\varepsilon+\gamma_2\varepsilon^2+\dots \end{array} \end{aligned} $$with ε = λ∕24ω 3 ≪ 1 and scale-dependent coefficient functions. Show that these functions satisfy the differential equations
$$\displaystyle \begin{aligned} \begin{array}{rcl} \dot\alpha_0& =&\displaystyle -\frac{P}{\pi},\quad \dot\alpha_1=-\frac{x^2P^2}{\pi} \beta_1,\quad \dot\alpha_2=\frac{x^2P^2}{\pi}\left(\beta_1^2P-\beta_2\right)\\ \dot\beta_1& =&\displaystyle -\frac{24x^2P^2}{\pi},\qquad \dot \beta_2=\frac{24x^2P^2}{\pi}\left(2\beta_1 P-\gamma_2\right),\quad \dot\gamma_2=144\frac{x^2P^3}{\pi}\;, \end{array} \end{aligned} $$where we defined P ≡ 1∕(1 + x 2). The coefficient functions vanish for x →∞, and the first differential equation has the solution \(\alpha (x)=1/2-\arctan (x)/\pi \).
-
(c)
Calculate β 1, γ 2, and β 2 with an algebraic computer program. Insert the solutions to find the functions α 2 and α 3.
-
(d)
Prove that the coefficient functions have the following small-x expansions:
$$\displaystyle \begin{aligned} \begin{array}{rcl} \alpha_0(x)& \sim&\displaystyle \frac{1}{2}-\frac{1}{\pi}x+\frac{1}{3\pi}x^3+\dots \\ \alpha_1(x)& \sim&\displaystyle \frac{3}{4}-2\pi x^3+\dots\\ \alpha_2(x)& \sim&\displaystyle -\frac{3}{8}\left(10-\frac{29}{\pi^2}\right) +8\left(3-\frac{4}{\pi^2}\right)x^3+\dots{}\\ \beta_1(x)& \sim&\displaystyle 6-\frac{8}{\pi}x^3+\dots\\ \beta_2(x)& \sim&\displaystyle -12\left(3-\frac{8}{\pi^2}\right)+\frac{168}{\pi}x^3+\dots\\ \gamma_2(x)& \sim&\displaystyle -9+\frac{48}{\pi}x^3+\dots \end{array} \end{aligned} $$(12.114) -
(e)
If we make a cruder truncation with λ k = λ of equivalently with γ 2 = 0, how do the results change? Prove that in this case
$$\displaystyle \begin{aligned} \begin{array}{rcl} \alpha_2(x)& \sim&\displaystyle -\frac{3}{16}\left(8+\frac{29}{\pi^2}\right) +\frac{1}{\pi^3}(15\pi^2+16)x^3+\dots{}\\ \beta_2(x)& \sim&\displaystyle -2\left(3+\frac{16}{\pi^2}\right) +\frac{96}{\pi}x^3+\dots \end{array} \end{aligned} $$(12.115)
12.2 (Fixed Point Solution and Critical Exponents)
Write a program with your favorite algebraic computer system to find the fixed point solution and the critical exponents of the Z 2 scalar field theory. You should be able to reproduce the plots in Fig. 12.5 and the critical exponents in Table 12.4.
Appendix: A Momentum Integral
In this appendix we calculate the O(p 2) contribution to the integral
for the optimized regulator function (12.10). The integrand is only nonzero for q 2 ≤ k 2 and in this region
To proceed we need to consider two cases: |p + q|≤ k and |p + q| > k separately.
The Case |p + q| < k
This is the region located inside of both spheres in Fig. 12.11 where the Green function G 0(q) = G 0(p + q) = Δ 0 is independent of the integration variable q. Let us decompose this variable as q = q ∥ + q ⊥, where q ∥ is parallel and q ⊥ perpendicular to the fixed momentum p. Then the integral has the form
where \(q^2=q_\parallel ^2+q_\perp ^2\). The volume of the unit sphere originates from the integration over the directions of q ⊥. Now we split the integration domain inside of both spheres, the region marked gray in Fig. 12.11, into two spherical caps:
The domain of integration in (12.118) is just the union of these two caps. After a shift q ∥→ q ∥− p in the integral over the second cap, we are left with the one-dimensional integral
Its second derivative with respect to p at p = 0 is
The Case |p + q| < k
This is the sickle-shaped region inside of the sphere centered at the origin but outside the displaced sphere, marked light-gray in Fig. 12.11. The integral over this region can be written as a difference of two integrals as follows:
The integrand of both integrals is
It is convenient to shift the variable q ∥ in the second integral by − p such that
The second derivative of this integral with respect to p at p = 0 is given by
Adding the two results (12.119) and (12.120) leads to the simple expression,
for the curvature of F(p) in (12.116) at the origin in momentum space.
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Wipf, A. (2021). Functional Renormalization Group. In: Statistical Approach to Quantum Field Theory. Lecture Notes in Physics, vol 992. Springer, Cham. https://doi.org/10.1007/978-3-030-83263-6_12
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