See also Critical phenomena, field theory...
In the real-space renormalization group we first decrease the number of degrees of freedom by a factor , in such a way that the new system is of the same kind as the previous (say a lattice, I know this is informal now). An example of this procedure is block spin transformation. We then transform the couplings in such a way that the (total) free energy is unchanged (by keeping the partition function unchanged say). The free energy per site thus increases by a factor (where is the dimension), apart from an analytic constant part (see Cardy), accounting for the integrated short wavelength degrees of freedom. At the same time the new free energy per site is the same function f(couplings) as before because the model is the same after the RG transformation, just the couplings have changed, by assumption. Furthermore, near the critical point, only the relevant operators contribute significantly (are big enough). Also, close enough to the fixed point, linearized dynamics is a good approximation, and an RG transformation corresponding to a factor , multiplies the relevant eigendirections in coupling space by factors , for some . Therefore, we have
From this the scaling of f with u_i can be worked out.
Finally, u_i can be related to relevant thermodynamic quantities, appearing in the couplings of the original microsocopic theory.
A method to obtain macroscopic properties from microscopic theories, among other things. The general framework (as applied to critical phenomena) is presented below. For other applications, the later steps will be different, but the general setup is the same.
1. Define RG scheme (often involving coarse graining and scaling; this is the case, for instance, in Real-space renormalization group, see RG scheme), that defines new variables, while leaving the Partition function fixed (or at least approximately fixed). Note that even though the partition function is fixed (and so all macroscopic variables are too), the microscopic Boltzmann distribution function need not stay fixed as a consequence (see this paper, see reply to the article actually).
2. This scheme produces an RG transformation on the couplings/parameters of the theory. This transformation, if iterated, produces an RG flow in the space of parameters. The flow can indeed be analyzed with the tools of the theory of Dynamical systems
3. Any point near a fixed point in the space of parameters has relevant and irrelevant (and possibly marginal) directions. These correspond to natural coordinates related to the unstable and stable manifolds of a fixed point, which in the linear neighbourhood of the fixed point are called scaling variables. Relevant directions are the ones that determine the long-time dynamics under the RG flow.
4. Changes in tunable parameters of the theory (like temperature, volume, external magnetic field, etc.) can be related to changes in coupling constants that produce the same change in the free energy. These changes should be along relevant directions because tunable parameters can affect the qualitative macroscopic behaviour of the theory, and so should affect the long-time behaviour of the theory under the RG flow.
5. A critical surface corresponds to the stable manifold of a saddle fixed point (this manifold is also called separatrix in Dynamical systems theory, because it separates qualitatively different future flows, corresponding to different phases, in a physical system). A critical point of a family of theories parametrized by a parameter, and spanning a 1D manifold (curve) in the whole space of theories is the intersection of this curve with the critical surface.
6. Theories near the critical point evolve to the vicinity of the fixed point under a finite number of iterations of the RG transformation. Theories with slightly different tuning parameters evolve to slightly different points in the vicinity of the critical point. In particular, it can be argued that for a bicritical point (with two relevant directions), there will be a relevant variable that corresponds to "thermal" deviation, , and another to a "magnetic" deviation, (see Cardy's book for some more explanation). Here deviations refer to deviations from the critical point. These relations are linear simply because we are taking and to be small (near the critical point), and we have Taylor expanded (assuming relation is analytic). , and are called scaling factors and are non-universal.
7. From the RG scheme, one easily derives how , and change close to the fixed point, using the linearized RG flow. From the RG scheme, one can also easily find how the free energy (per volume, or per site), changes under RG flow, and thus how it changes under changes of , and . See Cardy for details
8. Finally by relating , and to , and , the renormalization group allows us to find how the free energy changes under changes of thermodynamic variables (, and ), and thus it allows us to find thermodynamic coefficients and quantities (which are derivatives of w.r.t to thermodynamic quantities, such as , and ), as functions of the thermodynamic variables , and . These often have power law form, and from them we can extract critical exponents. These critical exponents turn out to depend just on the dimensionality, and the eigenvalues of the relevant variables near the fixed point. Thus, any theory with a critical point flowing to this same fixed point will have the same critical exponents, and is said to belong to the same universality class.
These last steps can be seen carried out for the case of the spin-block transformation (a particular RG scheme) in Cardy's book, or in this page. The resulting form of the free energy is:
where is known as a scaling function
The scaling coefficients turn out to be:
Scaling relations relate the critical exponents as explained in picture.
Sometimes, because of the generality of this, the above form of the free energy is assumed instead of derived from RG, and this is known as the scaling hypothesis. See this series of videos: 6. The Scaling Hypothesis Part 1