4.2 Horizon solution in series of hypergeometric functions
As in Section 3, we focus on the ingoing wave function of the radial Teukolsky equation (14). Since the
analysis below is applicable to any spin,
,
,
,
, and
, we do not specify it
except when it is needed. Also, the analysis is not restricted to the case
unless so
stated explicitly. For general spin weight
, the homogeneous Teukolsky equation is given by
As before, taking account of the symmetry
, we may assume
if
necessary.
The Teukolsky equation has two regular singularities at
, and one irregular singularity at
. This implies that it cannot be represented in the form of a single hypergeometric equation.
However, if we focus on the solution near the horizon, it may be approximated by a hypergeometric
equation. This motivates us to consider the solution expressed in terms of a series of hypergeometric
functions.
We define the independent variable
in place of
(
) as
where
For later convenience, we also introduce
and
. Taking into account the
structure of the singularities at
, we put the ingoing wave Teukolsky function
as
Then the radial Teukolsky equation becomes
where a prime denotes
. The left-hand side of Equation (117) is in the form of a hypergeometric
equation. In the limit
, noting Equation (110), we find that a solution that is finite at
is
given by
For a general value of
, Equation (117) suggests that a solution may be expanded in a series of
hypergeometric functions with
being a kind of expansion parameter. This idea was extensively
developed by Leaver [64
]. Leaver obtained solutions of the Teukolsky equation expressed in a series of
the Coulomb wave functions. The MST formalism is an elegant reformulation of the one by
Leaver [64
].
The essential point is to introduce the so-called renormalized angular momentum
, which is a
generalization of
, to a non-integer value such that the Teukolsky equation admits a solution in a
convergent series of hypergeometric functions. Namely, we add the term
to
both sides of Equation (117) to rewrite it as
Of course, no modification is done to the original equation, and
is just an irrelevant parameter at
this stage. A trick is to consider the right-hand side of the above equation as a perturbation,
and look for a formal solution specified by the index
in a series expansion form. Then,
only after we obtain the formal solution, we require that the series should converge, and this
requirement determines the value of
. Note that, if we take the limit
, we must
have
(or
) to assure
and to recover the
solution (118).
Let us denote the formal solution specified by a value of
by
. We express it in the series form,
Here, the hypergeometric functions
satisfy the recurrence relations [68
],
Inserting the series (120) into Equation (119) and using the above recurrence relations, we
obtain a three-term recurrence relation among the expansion coefficients
. It is given by
where
The convergence of the series (120) is determined by the asymptotic behaviors of the coefficients
at
. We thus discuss properties of the three-term recurrence relation (123) and the role of the
parameter
in detail.
The general solution of the recurrence relation (123) is expressed in terms of two linearly
independent solutions
and
(
,
). According to the theory of
three-term recurrence relations (see [49
], Page 31) when there exists a pair of solutions that satisfy
then the solution
is called minimal as
(
). Any non-minimal solution is called
dominant. The minimal solution (either as
or as
) is determined uniquely up to an
overall normalization factor.
The three-term recurrence relation is closely related to continued fractions. We introduce
We can express
and
in terms of continued fractions as
These expressions for
and
are valid if the respective continued fractions converge. It is proved
(see [49
], Page 31) that the continued fraction (127) converges if and only if the recurrence relation (123)
possesses a minimal solution as
, and the same for the continued fraction (128) as
.
Analysis of the asymptotic behavior of (123) shows that, as long as
is finite, there exists a set of two
independent solutions that behave as (see, e.g., [49], Page 35)
and another set of two independent solutions that behave as
Thus,
is minimal as
and
is minimal as
.
Since the recurrence relation (123) possesses minimal solutions as
, the continued fractions
on the right-hand sides of Equations (127) and (128) converge for
and
. In general,
however,
and
do not coincide. Here, we use the freedom of
to obtain a consistent solution.
Let
be a sequence that is minimal for both
. We then have expressions for
and
in terms of continued fractions as
This implies
Thus, if we choose
such that it satisfies the implicit equation for
, Equation (133), for a certain
,
we obtain a unique minimal solution
that is valid over the entire range of
,
, that
is
Note that if Equation (133) for a certain value of
is satisfied, it is automatically satisfied for any other
value of
.
The minimal solution is also important for the convergence of the series (120). For the minimal solution
, together with the properties of the hypergeometric functions
for large
, we find
Thus, the series of hypergeometric functions (120) converges for all
in the range
(in fact,
for all complex values of
except at
), provided that the coefficients are given by the minimal
solution.
Instead of Equation (133), we may consider an equivalent but practically more convenient form
of an equation that determines the value of
. Dividing Equation (123) by
, we find
where
and
are those given by the continued fractions (131) and (132), respectively.
Although the value of
in this equation is arbitrary, it is convenient to set
to solve for
.
For later use, we need a series expression for
with better convergence properties at large
.
Using analytic properties of hypergeometric functions, we have
where
This expression explicitly exhibits the symmetry of
under the interchange of
and
. This
is a result of the fact that
is invariant under the interchange
. Accordingly, the
recurrence relation (123) has the structure that
satisfies the same recurrence relation as
.
Finally, we note that if
is a solution of Equation (133) or (136),
with an arbitrary
integer
is also a solution, since
appears only in the combination of
. Thus,
Equation (133) or (136) contains an infinite number of roots. However, not all of these can be used to
express a solution we want. As noted in the earlier part of this section, in order to reproduce the
solution in the limit
, Equation (118), we must have
(or
by
symmetry). Thus, we impose a constraint on
such that it must continuously approach
as
.