Performing a logarithmic substitution, the integral can be rewritten in the algebraic form:
The integral converges for
. Here is a graph
of
on an interval
:
Although it isn't known whether the function
has a closed-form expression for all values of y, it can be evaluated
explicitly for any y which is a rational multiple of
;.
We consider several particular cases of
in the
next section.
, where p and q are positive
integers. Then the formula (2) can be rewritten as
This integral belongs to the more common class of integrals
where
and
are positive
integers and
is a cyclotomic polynomial. We assume
that the integral is convergent. The integral (4) can be envisaged in an
alternative form. Performing an integration by parts, we have
where
and
are positive
integers and
is a cyclotomic polynomial. In the
last section we provide Mathematica code for evaluating integrals
(4) and (5). The reader must evaluate that cell in order to calculate all
the integrals below. Our results are consistent with a table presented
by Baxter, Temperley and Ashley in[1].







Note that this formula can be rewritten in the following algebraic form:
As far as we know, the exact expression in (6) is new.
Proof. Differentiating the representation (2) relative to y and performing trivial simplifications, we obtain:
The first two integrals are:
Although the third integral could be easily evaluated by Mathematica, a more elegant way is to make use of:
so that the integrand can be rewritten as:
Running the integral in Mathematica, we obtain:
which completes the proof of formula (6). This is connected to the mean cluster density for the bond percolation model on the triangular lattice.
We shall prove that:
which, again, we believe is a new result. Note that this formula can be rewritten in the following algebraic form:
Proof. Differentiating the integral on the right side of representation (2) twice with respect to y, we obtain
Since
and, using differentiation by parameter, formula (5) can be rewritten as:
Then running the integral in Mathematica we get:
Finally, we need to differentiate the above by
and find the limit as
:
Therefore:
2. S. Finch, Random percolation constants, HTML essay at World Wide Web URL http://www.mathsoft.com/asolve/constant/rndprc/rndprc.html, part of Favorite Mathematical Constants collection (1996).