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Gaussian and Wilson-Fisher Fixed Points

Hello! Welcome to our next lesson on the Renormalization Group.

In our last session, we successfully derived the one-loop RG flow equations for theory. This was a significant step, turning the abstract RG framework into a concrete set of differential equations that describe how the parameters of our theory—the mass-squared and the coupling —evolve as we zoom out to larger length scales. We ended with the exciting discovery that these equations predict a new, non-trivial fixed point for dimensions : the Wilson-Fisher fixed point.

Today, we will build directly on that foundation. Our goal is to identify the Gaussian fixed point and the Wilson-Fisher fixed point from the flow equations and, more importantly, to understand their roles by analyzing their stability. We will see precisely why the simple Gaussian fixed point is insufficient for describing critical phenomena in realistic dimensions and why the interacting Wilson-Fisher fixed point is the key to universality.

Recap: The RG Flow Equations

Let's recall the flow equations we derived for the couplings and , where is the flow parameter and :

Here, and are positive constants that arise from the loop integrals. A fixed point of this flow is a point in the parameter space where the couplings cease to evolve: and . Physically, a fixed point corresponds to a scale-invariant theory, which is precisely the situation at a critical point.

RG Flow, Fixed Points, and Stability

Before we solve these specific equations, it's useful to solidify our intuition about the general structure of RG flows. The core idea is that we can classify fixed points by analyzing the flow in their immediate vicinity. Does a small perturbation grow, driving the system away from the fixed point, or does it shrink, pulling the system back towards it?

Renormalisation group

The following video from Jos Thijssen's course on Statistical Mechanics provides an excellent qualitative picture of RG flow in parameter space, the concept of fixed points, and the crucial idea of stability analysis through linearization.

Please watch the following two segments: 16:14 to 27:18: This part qualitatively describes the flow of couplings, explaining how systems flow towards high- or low-temperature limits and motivating the existence of a critical line with a fixed point. 32:07 to 40:55: This segment introduces the key idea of linearizing the RG transformation around a fixed point. Pay close attention to how this leads to eigenvalues that characterize the flow as either moving away from (relevant) or towards (irrelevant) the fixed point.

As the video explained, the stability of a fixed point is determined by the eigenvalues of the linearized flow matrix. A direction with a positive eigenvalue is called relevant, as perturbations in that direction grow and drive the system away from the fixed point. A direction with a negative eigenvalue is irrelevant, as perturbations decay, and the flow is attracted towards the fixed point. An unstable fixed point (with one or more relevant directions) is repulsive, while a stable fixed point acts as an attractor for the RG flow, defining the universal long-distance physics.

1. The Gaussian Fixed Point (GFP)

The most obvious fixed point of our flow equations is the Gaussian Fixed Point (GFP), which occurs at and . This represents the free, non-interacting theory. Let's analyze its stability.

[PDF] 3. The Renormalisation Group

The following section from David Tong's notes formally analyzes what happens to couplings in the vicinity of the Gaussian Fixed Point. This will allow us to determine its stability as a function of the spatial dimension d.

Please read Section 3.3, 'The Gaussian Fixed Point', and its subsection 3.3.1, 'In the Vicinity of the Fixed Point'. Focus on: How the mass term \mu^2 scales under RG (Equation 3.22). The definition of the GFP at \mu^2=0. How the \phi^4 coupling, g_4, scales (Equation 3.24) and why its behavior changes at d=4. The conclusion about when g_4 is a relevant vs. irrelevant coupling and the implications for mean-field theory.

To make the stability analysis explicit, we linearize our flow equations around the fixed point . Let and be small deviations:

In matrix form, this is:

The matrix is the stability matrix at the GFP. Its eigenvalues are simply the diagonal entries:

Interpretation:

  • The eigenvalue is positive, meaning the direction is always relevant. This makes physical sense: , and we know we must precisely tune the temperature to reach a critical point.
  • The stability in the coupling direction depends on the dimension :
    • For : , so . The coupling is irrelevant. Any small interaction will die away under RG flow. The system flows to the free theory, and mean-field theory becomes exact.
    • For : , so . The coupling is relevant. Any small interaction is amplified by the RG flow, driving the system away from the free theory. The GFP is unstable.
    • For : , so . The coupling is marginal. The linear term vanishes, and we must look at the next term in the beta function: . This term is negative, so it drives the flow towards . The coupling is marginally irrelevant, and mean-field theory holds with logarithmic corrections.

This analysis is profound: it mathematically explains why mean-field theory fails for physical dimensions and . The existence of a relevant coupling () means the non-interacting GFP cannot describe the critical point; the system is driven to a new, interacting fixed point.

2. The Wilson-Fisher Fixed Point (WFFP)

Since the GFP is unstable for , we must search for the other fixed point we identified last lesson. Setting gives a non-trivial solution for when :

Plugging this into the equation gives the fixed point value for :

This is the Wilson-Fisher Fixed Point (WFFP). It exists only for , and it has a non-zero interaction strength .

[PDF] 3. The Renormalisation Group

Now we analyze the stability of this new, interacting fixed point. It is the stability of the WFFP that makes it the attractor for RG flows at criticality and the foundation of the modern theory of critical phenomena. The following reading walks through the calculation.

Please read Section 3.5, 'The Epsilon Expansion', and subsection 3.5.1, 'The Wilson-Fisher Fixed Point'. Pay close attention to: How setting the beta functions to zero reveals the new fixed point coordinates, (\mu^2)^* and ilde{g}^* (the notation ilde{g} is for a dimensionless coupling, but the result is the same). The linearization of the flow around this new fixed point and the resulting eigenvalues of the stability matrix.

Let's perform the linearization around . The stability matrix is the Jacobian of the beta functions evaluated at the fixed point:

Substituting , the lower-right element becomes .

The eigenvalues are:

Interpretation:
For , we have . Therefore, the WFFP has one positive eigenvalue () and one negative eigenvalue (). This means the WFFP is a saddle point.

  • It has one relevant direction. To flow into the fixed point, a physical system must be tuned along this direction (by changing temperature) to land on the critical surface—the set of points that are attracted to the WFFP.
  • It has one irrelevant direction. If a system is on the critical surface, any small perturbation along this irrelevant direction will decay, and the system will inevitably flow to the WFFP.

This is the key result. For , the GFP is unstable and repels the flow, while the WFFP is an attractor (a stable fixed point for flows on the critical surface). Therefore, the long-distance, universal properties of the critical point are described not by the free GFP, but by the interacting WFFP.

Visualizing the Flow

The following diagram illustrates the RG flow in the parameter space for , summarizing our entire analysis.

Renormalization Group Flow and Fixed Points
This RG flow diagram for \(\phi^4\) theory below four dimensions shows the Gaussian Fixed Point (GFP) at the origin and the interacting Wilson-Fisher Fixed Point (WFFP) at \(g^* > 0\). The arrows indicate that the GFP is unstable, with flows moving away from it. The WFFP is a saddle point, attracting flows along the critical surface (the solid line flowing into it) but repelling them in other directions. To observe criticality, a system's parameters must be tuned to lie on this critical surface.

Conclusion

In this lesson, we formally identified the two principal fixed points of theory and analyzed their stability.

Key Takeaways:

  • Fixed points of the RG flow correspond to scale-invariant theories and represent possible critical points.
  • The Gaussian Fixed Point () is stable for but unstable for . This explains why mean-field theory works in high dimensions but fails in physical dimensions.
  • The Wilson-Fisher Fixed Point () exists for . It is an interacting fixed point that is attractive (on the critical surface), making it the one that governs universal critical behavior in dimensions 2 and 3.
  • The stability analysis, which classifies directions as relevant or irrelevant based on the eigenvalues of the linearized flow, is the central tool for understanding which fixed point controls the physics and defines the universality class.

Preview of the Next Lesson:

We have now identified the correct, interacting fixed point that describes criticality. The next logical step is to use its properties to compute physical observables. In our next lesson, we will calculate the critical exponent at the Wilson-Fisher fixed point to the first order in the -expansion. This will be our first calculation of a critical exponent beyond mean-field theory.

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