2.1. The Definition of the Spin-Spin Correlation Functions and Their Basic Properties
According to the definition of the spin-spin correlation functions,
of pairwise spins
and
of Onsager’s lattice read:
where
,
;
, and
are the interaction constants for the horizontal and vertical directions, respectively;
is the partition function in absence of a magnetic field of the model.
According to the periodic-periodic boundary conditions of Onsager’s lattice, it is easy to prove ; in this paper, we calculate , i.e., we only calculate correlation functions of pairwise spins in one column.
Further, because of periodic-periodic boundary conditions, both and are the closest spins of , and we therefore have . Generally speaking, it is easy to prove in terms of periodic-periodic boundary conditions. Hence, is the farthest spin of , where denotes the greatest integer not exceeding . Thus, we only need to calculate for .
2.5. Approximate Method for Solving the Eigen Equation (16)
It is very difficult to find the exact eigenvalues of by solving the eigen Equation (16). On the other hand, the operator in (8) allows us to ignore all terms whose orders are higher than in all eigenvalues of . According to this key property, we can obtain the exact expressions of by only finding approximate eigenvalues of .
Concretely, as the first step, the term
with the factors
in (10) can be ignored, since
have
order. Then, from (11) we see that
in (10) is a diagonal matrix, whose eigenvalues and eigenvectors are summarized in the following formulas:
which are as the zeroth order approximation of the eigen Equation (16).
The term with the factors in (10) can be regarded as a perturbation term. Then, by using RSPT, we can obtain the approximate eigenvalues of .
However, although what eigenvalues we need are only corrected to the order , we must calculate the perturbation terms up to the -th order, not only for the first-order approximation, because all of the terms with the factor appear in the -th order eigenvalues and are needed, which only include the order for every .
However, if we calculate the eigenvalues up to the -th order by using RSPT, then not only the actual calculation process is very complex, but there are also many unwanted terms with factors , for example, the term with the factor , in the -th order eigenvalues.
To take out those terms with factors , we change “finding the eigenvalue up to the -th order” to “finding the eigenvalue through times first-order approximation”.
Concretely, since now , we first consider the matrix , in which the eigenvalues and eigenvectors of are given by (19) and is as perturbation term. By only calculating first-order approximation we obtain all eigenvalues and eigenvectors of ; therefore, all terms in only correct to the order.
Then, we consider the matrix . Since now all eigenvalues and eigenvectors of are known, we regard as a perturbation term, and, by only calculating the first-order approximation, obtain all eigenvalues and eigenvectors of , in which all terms are only of the and orders. In particular, all of the terms with the factor remain.
Then, we consider the matrix . Since now all eigenvalues and eigenvectors of are known, we regard as a perturbation term, and, by only calculating the first-order approximation, obtain all eigenvalues and eigenvectors of , in which all terms are only of the , and orders. In particular, all of the terms with the factor remain, and, many unwanted terms with factors , , etc., do not appear in the eigenvalues of .
We follow this approach up to and every time we only calculate thr first-order approximation, which leads to the eigenvalues and eigenvectors of all terms being only of the order. All of the terms with remain, and at the same time those unwanted terms with do not appear.
On the one hand, the above approximate method allows us to actually carry out the calculation process to find the eigenvalues and eigenvectors of . In particular, once we obtain , we can obtain by the spinor analysis method, as well as obtain in terms of (8) and (9). Once we obtain , we can obtain by the spinor analysis method, and, further, obtain in terms of (8) and (9),. Generally speaking, once we obtain , we can obtain , and, further, obtain .
On the other hand, since RSPT is irregular, when Q is very large, e.g., , the above approach no longer functions. Hence, by this approach we can only obtain the exact expressions of correlation functions when Q is a small number, for example, , etc., which belong to the short-range order, but we cannot obtain the exact expressions of correlation functions when Q is larger, for example, , , , etc., which belong to the long-range order.
2.6. Recurrence Formulas of the Eigenvalues and Eigenvectors
According to the discussions in the above sub-section, we first regard
as a perturbation term, and, by using RSPT, evaluate eigenvalues and eigenvectors
of the matrix
up to the first-order approximation. However, according to (7), all eigenvalues
are doubly-degenerate; and, except
and
, all the remaining eigenvalues
are also doubly-degenerate. Hence, for doubly-degenerate eigenvalues of
, we must use the degenerate perturbation theory; the results obtained up to
order are as follows.
In
Table 1, (20) and (21), the values of
and
are exactly the same as those in (7).
From
Table 1, we see that all eigenvalues
of
are nondegenerate. Hence, all degenerate eigenvalues of
are relieved by
. Thus, when we calculate the eigenvalues and eigenvectors
of
, we only need use nondegenerate perturbation theory; this is applicable up to
. Further, since from
to
, we need only to calculate the first-order approximation in terms of
, and the corresponding recurrence formulas are:
In the calculation, all terms including the order are ignored.
In principle, by following the above approach we obtain the eigenvalues
. Furthermore, considering that up to the first-order approximation for
, we have
, the eigenvalues
of
can be denoted by the forms:
where the value of
is exactly the same as that in (7).
Based on the above forms of the eigenvalues
and using the spinor analysis method, we obtain:
Finally, according to (8) and (9), we obtain:
where
and
are given by (6) and (23), respectively.
2.8. The Expressions of and in the Thermodynamic Limit
We now consider the thermodynamic limit. First, if
is very large, then according to (7) we have:
However, when the system crosses its critical temperature,
changes sign, following which we therefore have:
Hence, for
and
given by (6) and (25), respectively, when
is very large, we obtain:
Substituting the above two expressions into (26), we obtain:
where the function
in terms of (14) is defined by:
The result (31) is in accordance with that in Reference [
8].
According to the similar discussions, for
we first have:
We discuss the first term in (28) as an example to show how to calculate
. First, using (7) and (15), the first term in (28) can be written in the form:
According to (7), when
,
,
, and, thus, the first term in the above expression vanishes; when
,
,
, we therefore obtain:
Using this method to deal with the remaining terms in
, we finally obtain:
As
, the second term in the above expression vanishes, and, according to the definition of the Riemann integral, we have:
where the function
is introduced by (32),
. Further,
Generally speaking, for the function
and the domain
of the integration shown in
Figure 1, we have:
Using (35), for the first term in (34) we obtain:
Likewise, the second term in (34) becomes:
Further, the third term in (34) vanishes due to:
Substituting (31) and (36) into (33), we obtain the form of
in the thermodynamic limit:
On the other hand, the expressions of
in the thermodynamic limit have been obtained [
3,
5,
9]. Thus, we here cite the formulas (B6) and (B7) in Reference [
9] for comparison. According to those two formulas:
where
is the function
in Reference [
9]. We see that (31) and (37) obtained here are exactly the same as (38).