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Hello! Let's get straight to our goal for this lesson.
In our previous discussions, we established that for dimensions , the interacting Wilson-Fisher fixed point (WFFP), not the non-interacting Gaussian fixed point, governs the physics of critical phenomena. We also developed a powerful formal framework for classifying operators as relevant, irrelevant, or marginal based on the eigenvalues of the linearized RG flow.
Today, we will put this machinery into practice to achieve a landmark result: we will calculate the critical exponent at the Wilson-Fisher fixed point to first order in . This calculation represents the first correction to the mean-field results and demonstrates the power of the RG approach to compute non-trivial physical observables.
The Strategy
Our path to calculating involves three main steps:
- Locate the Wilson-Fisher Fixed Point (WFFP): We'll start with the RG flow equations for the mass-squared coupling and the interaction coupling that we introduced in a previous lesson. By setting the beta functions to zero, we will solve for the fixed-point coordinates to leading order in .
- Linearize the Flow: We will then analyze the RG flow in the vicinity of this fixed point by computing the stability matrix evaluated at .
- Extract the Exponent : The eigenvalues of this matrix correspond to the scaling exponents . The critical exponent is related to the eigenvalue of the temperature-like relevant operator by the relation . We will calculate to first order in and from it, find our desired expression for .
Step 1: Finding the Wilson-Fisher Fixed Point
Let's start with the one-loop RG flow equations for the couplings (related to ) and (the interaction strength), which we can take from our previous work. These equations describe how the couplings change under a change in length scale .
[PDF] Lecture 12: ε-expansion and Wilson-Fisher fixed point
The following lecture notes provide the specific one-loop beta functions we will be working with. We'll start from these equations, without re-deriving the numerical prefactors.
Please review slides 5-7. Focus on the flow equations (labeled (5) and (6) on slide 7) for t and u, and the argument for the order of magnitude of the fixed point values t* and u* in terms of ε (slide 5).
As the notes show, the flow equations (beta functions) are:
To find the fixed point , we set both beta functions to zero. We are looking for the non-trivial solution where . As discussed in the reading, a simple power-counting argument suggests that for the terms to balance, we must have be of order , and of order . This insight is key to solving the system perturbatively.
From the second equation, :
Dividing by (since we want the non-trivial fixed point) gives:
Since we know , we can neglect the term to find to leading order in :
Now, we substitute this result into the first equation, :
We are solving for , which we expect to be . The term is of order , so we can neglect it to find to leading order:
So, we have successfully located the Wilson-Fisher fixed point to leading order:
This fixed point exists and has a small positive interaction strength () for any , i.e., for any dimension .

Step 2: Linearizing the Flow
Now we analyze the flow near the WFFP. We need to compute the stability matrix whose elements are evaluated at .
First, we calculate the partial derivatives of the beta functions:
Now, we evaluate these at the fixed point, keeping only terms up to order :
So, the linearized flow matrix is:
Step 3: Finding the Exponent
The eigenvalues of this matrix are the scaling exponents that we are looking for. Since we only need the eigenvalues to order , we can neglect the off-diagonal terms, which are themselves of order . The eigenvalues of a triangular matrix are its diagonal entries, and this approximation holds for our matrix to the order we are interested in.
The eigenvalues are therefore:
As expected, is positive (relevant operator) and is negative (irrelevant operator). This confirms that the WFFP is stable on the critical surface.
Finally, we connect this to the critical exponent . The correlation length diverges near the critical temperature as . In our field theory, the temperature-like variable is , so . Under an RG transformation that rescales lengths by , the correlation length transforms as . The variable flows according to its eigenvalue , so . For the scaling law to hold, we must have:
Comparing the powers of gives , which leads to the fundamental relation:
Substituting our result for :
Using the Taylor expansion for small , we get:
This is our final result for to first order in .
Test your understanding!
For the 3D Ising model, , which means . What value does our first-order expansion give for ? How does it compare to the mean-field value? Highly precise numerical simulations give . What does this comparison tell you about the -expansion?
Show answer
- Mean-field value: .
- First-order -expansion for : .
- Numerical value: .
The first-order correction significantly improves the prediction, moving it from the mean-field value of 0.5 up to ~0.583, much closer to the true value. This shows that even though the expansion parameter is not infinitesimally small, the -expansion provides a surprisingly effective and systematically improvable framework for calculating critical exponents. Higher-order calculations in yield results that are in remarkable agreement with experiments and simulations.
[PDF] 5 The Renormalization Group
To see this calculation again in a slightly different notation and to get a preview of how other exponents are calculated, please review the following text. It also shows a generalized result for n-component models.
Please read section 5.3.4 'The Wilson-Fisher critical point' (p. 64-65). Note that the author uses slightly different conventions for the couplings, leading to different numerical values for the fixed point (g_2, g_4). However, focus on the logic: finding the fixed point in terms of ε, linearizing the flow, finding the eigenvalues (note the eigenvalue ε/3 - 2 corresponds to our -y_t), and seeing how this non-trivial fixed point emerges for ε>0.
Conclusion
In this lesson, we have successfully executed a complete RG calculation, moving from the abstract flow equations to a concrete, non-trivial prediction for a critical exponent.
Key Takeaways:
- The Wilson-Fisher fixed point is located at to leading order in .
- By linearizing the RG flow around this fixed point, we found the relevant eigenvalue associated with the temperature-like perturbation to be .
- Using the relation , we derived the critical exponent .
- This result provides the first-order correction to the mean-field value and gives a much better estimate for physical systems in three dimensions.
Preview of the Next Lesson:
We have now calculated one of the key critical exponents. But what about the others, like and ? To find , we need to consider the scaling of the field itself, which we have so far assumed to be canonical. In the next lesson, we will see that interactions at the WFFP introduce a correction to the field's scaling, known as the anomalous dimension . We will calculate the critical exponents and to first order in .