Let us consider a -dimensional Ising model with hypercubic lattice with lattice constant ; assuming nearest-neighbour interactions the Hamiltonian of the system will be:
, as usual.
Since the values of the spin variables are correlated on lengths of the order of , the spins contained in regions of linear dimension , with such that:
will behave, statistically, as a single unit.
We can therefore imagine to carry out, similarly to what we have seen for the Ginzburg-Landau theory (see Functional partition function and coarse graining
), a coarse graining procedure were we substitute the spin variables
inside a "block" of linear dimension
(which will therefore contain
spins) with a single block spin
; the total number of blocks will of course be
-th block, we can define the block spin
where the mean magnetization of the
This way, the new block spin variables can assume only the values
, just like the original ones.
In the end we are left with a system of block spins on a hypercubic lattice with lattice constant . We can therefore rescale the spatial distances between the degrees of freedom of our system:
In other words, since
is now the characteristic length of the system we are measuring the distances in units of
(just like in the original one we measured distances in units of
The coarse graining procedure we have just seen is described by the following figures for a two-dimensional Ising model:
Kadanoff's argument now proceeds with two assumptions. The first one states that, in analogy to what happens in the original system, we assume that the block spins interact with the nearest neighbours and an external effective field (just like the original ones do).
This means that the Hamiltonian of the coarse grained system of block spins has the same form of the original one, of course provided that the spins, coupling constants and external fields are redefined. If we call and these new constants (of course and ) the new effective Hamiltonian is:
Since in the new system the lengths have been rescaled by a factor , as in , this means that also the correlation length of the system has to be measured in units of , and in particular we will have:
This means that the new system has a lower
correlation length, and it will thus be farther
from the critical point with respect to the original one, and so will have a new effective temperature
Similarly, in the coarse grained system the magnetic field will be rescaled to an effective one:
which implies that there is a relation between the new magnetic field and the mean magnetization:
Since the Hamiltonian of the block spin system has the same form of the original one, the same will be true also for the free energy, provided that
are substituted with
; in particular, considering the singular part
of the free energy density we will have:
In order to proceed, we now need the second assumption. We assume that:
The justification of this assumption lies in the fact that we are trying to understand the scaling properties of our system near a critical point, and these are the simplest possible relations between and that satisfy the following symmetry requirements:
- when , then
- when , then
- when , then
The exponents and are for now unspecified, apart from the fact that they must be positive (so that the coarse grained system is indeed farther from the critical point with respect to the original one).
If we use this assumption in we get:
This is very similar to Widom's scaling hypothesis, where the parameter
is the inverse of the block volume
has no specified value, we can choose the one we want and again we use the properties of generalized homogeneous functions to eliminate one of the arguments of
. In particular, setting
where the gap exponent is now
; comparing this equation with the alternative expression of the scaling hypothesis we have:
This relation will be used in the following, after we have discussed the scaling of correlation functions.
Kadanoff's scaling for correlation functions[edit | edit source]
Let us now consider the correlation function of the block spin system:
is the vector of the relative distance between the centers of the
-th block (measured in units of
, as stated before).
We want now to see how this correlation length is related to the one of the original system
From we have
, and so we get:
Introducing also the dependence on
, we have:
which is an equivalent of Widom's assumption for the correlation function.
Again, we can remove the dependence on
as all the lengths of our system, and since we have set
where in the last step we have defined
With the choice
we further have that the correlation length scales as:
so we also have:
This equation together with
leads to the hyperscaling relation
Hyperscaling relations are known to be less robust than the normal scaling relations between critical exponents (for example, for Hamiltonians with long-ranged power law interactions hyperscaling relations don't hold).