5.1. Separation of variables and ODE reduction [053J]
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5.1. Separation of variables and ODE reduction
Let be a Calabi model space applied to an ample line bundle over an dimensional compact Calabi-Yau manifold , then the KΓ€hler form of the Calabi metric is given by
| (5.8) |
which is well-defined for . In order to carry out separation of variables, we will study the local representation of the Laplace operator on . The authors have developed separation of variables in Section 4.1 of [HSVZ18], so we just briefly review the computations and basic estimates obtained there.
Let be some local holomorphic coordinates on , and fix a local holomorphic trivialization of the line bundle with , where is a smooth function. So we get local holomorphic coordinates on by writing a point as , then . We may assume , and . Let be the obvious projection map. Denote
| (5.9) |
then we can write
| (5.10) |
where generates the natural -rotation on the total space of .
Now we fix some , and define to be the level set endowed with the induced Riemannian metric . We denote by the spectrum of with , and let be an orthonormal basis of (complex-valued) eigenfunctions which are homogeneous under the action and with
| (5.11) |
From [HSVZ18], Section 4.1 we know that can be always represented as follows,
| (5.12) |
such that and
| (5.13) |
Notice and have geometric meanings as explained in [HSVZ18], Section 4.1. Namely, has weight with respect to the -action (notice the weight of is negative the weight of ), and corresponds to a smooth section of the induced complex line bundle over , which is an eigenfunction of the -Hodge Laplacian with eigenvalue . In particular and is a constant. Moreover when , corresponds to an eigenfunction on and
| (5.14) |
Now we carry out separation of variables for the Laplace equation on . Let be a harmonic function on the model space , namely,
| (5.15) |
For every fixed , we can write the -expansion along the fiber ,
| (5.16) |
The computations in [HSVZ18] tell us that for each , satisfies the differential equation
| (5.17) |
We also consider the Poisson equation
| (5.18) |
Take the -expansion of in the direction of the cross section ,
| (5.19) |
then the same procedure of separation of variables leads to an ordinary differential equation
| (5.20) |
Since we will study the solutions (5.16) and (5.19) in terms of the fiber-wise -expansions, so there are two fundamental ingredients to analyze: First, in order to show the -expansions in fact converge, we need to obtain some uniform estimates for the ODE solutions which are independent of the subscript . The other basic aspect is to understand the asymptotics of the linearly independent solutions and as , which in turn gives the asymptotics of the solutions (5.16) and (5.19).
Technically speaking, we will study the solutions to (5.17) and (5.20) in two different cases: and . The first step is to understand the solutions to homogeneous equation (5.17). Notice that, by using the change of variables , (5.17) will become a homogeneous equation with linear coefficients, so that we can apply the theory of special functions to obtain some effective estimates for the solutions. Now letting
| (5.21) |
we have
| (5.22) |
In the first case , we make the transformation of the above solution as follows,
| (5.23) |
then the function satisfies the modified Bessel equation,
| (5.24) |
In the latter case , we make the following transformation
| (5.25) |
then satisfies the confluent hypergeometric equation,
| (5.26) |
where
| (5.27) |
It is straightforward to see that and .
Remark 5.2.3.
The above ODE transformations were first used by [KK10].
Remark 5.2.4.
The homogeneous equation (5.17) was studied by the authors in the special case . When , (5.17) has standard solutions given by exponential functions. When , the transformation was chosen as
| (5.28) |
We refer the readers to Section 4 of [HSVZ18] for more details. In the special case , is an Hermite function which satisfies the Hermite differential equation
| (5.29) |
The key tool to prove the estimates for essentially relies on its integral representation formula. However, when , if we perform the transformation as (5.28) then the resulting equation for is more complicated to study. It turns out the transformation (5.25) is a more suitable choice.