Hello! In our previous lesson, we established the profound principle of universality: that diverse physical systems at their critical points can be grouped into classes, with each class being described by a unique Conformal Field Theory. The CFT acts as the universal descriptor for the long-distance physics of every system in its class.
Today, we will make this abstract framework concrete by focusing on the most celebrated example in statistical mechanics. Our learning outcome is to analyze the critical Ising model as a fixed point of the RG flow described by a specific 2D CFT. We will connect the statistical lattice model to its corresponding CFT, identify the theory's key data, and see how that data precisely determines the physical properties of the Ising model at its phase transition.
The Ising Model: From Lattice Spins to Criticality
The Ising model is a cornerstone of statistical physics. In its simplest 2D form, it describes a grid of "spins," each of which can point either up () or down (). The energy of a configuration depends on an interaction between neighboring spins and an external magnetic field.

As you know from your background in statistical mechanics, at a specific critical temperature, , and zero external magnetic field, the system undergoes a second-order phase transition. At this point, the correlation length diverges, and the system loses any intrinsic length scale.
Let's watch a short clip that visualizes this phenomenon.
Renormalization Group Theory and Machine Learning | AI & Physics | Giulio Biroli
This simulation from a talk by Giulio Biroli vividly illustrates the behavior of the Ising model. It will help us connect the visual appearance of the system to the abstract concept of an RG fixed point.
Please watch the segment from 07:00 to 08:44. Notice how the system behaves when you 'zoom out' (coarse-grain) at different temperatures. Pay special attention to the case at the critical temperature, T=TC, where the system is described as being 'self-similar' and at a 'fixed point'.
The self-similarity at is the physical manifestation of scale invariance. As we discussed, this scale invariance at a critical point implies that the system is located at a fixed point of the Renormalization Group (RG) flow. All microscopic models within the "Ising universality class"—whether they are magnets, liquid-vapor systems, or binary alloys—will flow to this same fixed point when tuned to criticality.
The Fixed Point as a Conformal Field Theory
Since the fixed point is scale-invariant and we are in two dimensions, we expect it to be described by a Conformal Field Theory. This is not just an approximation; the long-distance physics of the critical Ising model is a 2D CFT.
The task is to identify which CFT it is. The answer is that the 2D critical Ising model is described by the simplest non-trivial unitary CFT, known as the minimal model. This theory is uniquely defined by a single number: its central charge.
CFT Data of the Critical Ising Model:
- Central Charge:
- Primary Operator Content: The theory has a finite set of primary fields. The three with the lowest scaling dimensions are:
- Identity Operator, : Holomorphic and anti-holomorphic weights . This operator is present in every CFT.
- Spin Field, : . This corresponds to the fundamental spin variable in the lattice model.
- Energy Density Field, : . This corresponds to the local energy density of the lattice model.
Let's now read a detailed summary of these facts.
This section from J. Stern's lecture notes provides a concise and direct analysis of the critical Ising model as a CFT. It explicitly states the central charge and operator content, linking them directly to Onsager's famous solution.
Please read section 3.5, 'The Critical Ising Model' (pages 61-62, up to the discussion of fusion rules). Focus on how the continuum fields \sigma and \epsilon are introduced, and pay close attention to the stated values for their correlation functions, the central charge c, and their conformal weights (h, ar{h}).
From CFT Data to Physical Observables
The power of this CFT description is that it allows us to directly compute universal physical quantities, such as critical exponents. Recall that for a primary operator with scaling dimension , its two-point function is fixed by conformal symmetry to be:
Comparing this to the definition of the critical exponent from statistical mechanics, , we see that for the spin field in , .
Let's apply this to our operators:
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Spin-Spin Correlator:
The spin field has .
Therefore, the two-point function scales as:This immediately gives us the critical exponent , matching Onsager's 1944 exact solution.
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Energy-Energy Correlator:
The energy field has .
Its two-point function scales as:
This demonstrates the predictive power of the CFT framework. Once the operator content and their dimensions are known, the critical exponents for correlation functions are immediately determined.
Test your understanding!
In the RG framework, operators correspond to perturbations of the fixed-point Hamiltonian. A perturbation by an operator with coupling is relevant if its RG eigenvalue . The operator's scaling dimension is related to its RG eigenvalue by .
For the Ising model, the two relevant operators are the spin field (coupled to the magnetic field ) and the energy field (coupled to the reduced temperature ). A known result for the 2D Ising universality class is that the RG eigenvalues are and .
Using the relation , verify that these RG eigenvalues are consistent with the scaling dimensions of the and operators in the CFT.
Show answer
We use the formula for .
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For the magnetic perturbation (spin operator ):
The RG eigenvalue is .
The predicted scaling dimension is .
This exactly matches the scaling dimension from the CFT, where . -
For the thermal perturbation (energy operator ):
The RG eigenvalue is .
The predicted scaling dimension is .
This also exactly matches the scaling dimension from the CFT, where .
The perfect agreement shows the consistency and deep connection between the two pictures: the RG flow in the space of statistical theories and the operator spectrum of the fixed-point CFT.
Solving the Theory: A Glimpse of the Bootstrap
Beyond just identifying exponents, the CFT framework provides a constructive way to "solve" the theory—that is, to compute all correlation functions. This is achieved through the bootstrap approach, which uses consistency conditions to determine the theory's data.
A key piece of data is the set of fusion rules, which dictate how operators combine in an Operator Product Expansion (OPE). For the Ising model, the rules are:
The first rule tells us that the OPE of two spin fields will contain contributions from the identity and the energy field. This structure, combined with the power of the infinite-dimensional Virasoro algebra in 2D, is so constraining that it allows for the calculation of OPE coefficients like , and ultimately, all n-point functions. The text from LINK that you read earlier sketches how this is done for the four-point function, leading to . This computational power, without ever needing to refer back to the original lattice model, is the hallmark of the CFT approach.
Conclusion
Today we have grounded the abstract principles of universality and RG flow in the concrete, physical example of the 2D Ising model. We have seen that this celebrated model, at its critical point, is not just described by but is a specific, solvable Conformal Field Theory.
Key Takeaways:
- The critical point of the 2D Ising model is a fixed point of the RG flow, exhibiting scale invariance.
- This fixed point is precisely the unitary minimal model of 2D CFT.
- The primary operators of this CFT correspond to physical observables in the Ising model: the spin field () and the energy field ().
- The scaling dimensions of these CFT operators directly determine the critical exponents of the Ising model's correlation functions, such as .
- The consistency of the CFT (fusion rules, crossing symmetry) provides a path to fully solve the theory, demonstrating the power of the bootstrap approach.
This concludes our module on the connection between CFT, critical phenomena, and the Renormalization Group. You now have a solid understanding of why CFT is so central to modern theoretical physics: it provides the universal language for describing systems at criticality.
In our next module, we will dive deeper into the unique features of two-dimensional CFTs, starting with the origin of the infinite-dimensional conformal symmetry that makes models like the critical Ising theory so beautifully solvable.