Regularization of plurisubharmonic functions with a net of good points
Long Li

TL;DR
This paper introduces a novel regularization method for quasi-plurisubharmonic functions on compact Kähler manifolds, utilizing local regularizations and a delta-net to ensure higher order terms vanish at centers.
Contribution
It presents a new technique combining local regularization with a delta-net approach to improve the regularity of quasi-plurisubharmonic functions on Kähler manifolds.
Findings
Higher order terms vanish at coordinate centers
Regularization is achieved via local coordinate balls
Centers form a delta-net covering the manifold
Abstract
The purpose of this article is to present a new regularization technique of quasi-plurisubharmoinc functions on a compact Kaehler manifold. The idea is to regularize the function on local coordinate balls first, and then glue each piece together. Therefore, all the higher order terms in the complex Hessian of this regularization vanish at the center of each coordinate ball, and all the centers build a delta-net of the manifold eventually.
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Taxonomy
TopicsGeometry and complex manifolds · Geometric Analysis and Curvature Flows · Advanced Differential Geometry Research
Regularization of plurisubharmonic functions with a net of good points
Long Li
Institute Fourier, 100 rue des maths 38610 Gières, Grenoble, France
Abstract.
The purpose of this article is to present a new regularization technique of quasi-plurisubharmoinc functions on a compact Kähler manifold. The idea is to regularize the function on local coordinate balls first, and then glue each piece together. Therefore, all the higher order terms in the complex Hessian of this regularization vanish at the center of each coordinate ball, and all the centers build a -net of the manifold eventually.
1. Introduction
Regularization of plurisubharmonic() functions is an important subject in Several Complex Variables. It has been widely used in analysis, Kähler geometry and algebraic geometry. The early known fact about regularization of function on a Euclidean ball is that one can always regularize a function by taking convolution with respect to some mollifier ; then is still on a smaller ball, and decreases to while converges to zero. Since convolution is commutable with any differential operator in Euclidean space, this implies that we have
[TABLE]
However, the situation is not so simple for regularization problems of (quasi)- functions on a complex manifold . In the 90’s, Demailly discovered several ways to study this problem on a compact Kähler manifold ([Dem83], [Dem92]), and later on a general compact complex manifold ([Dem97]) equipped with some Hermitian metric. Then Blocki and Kolodziej ([BK]) found a simpler technique of regularization for quasi- functions with Lelong number zero everywhere. Moreover, Eyssidieux-Guedj-Zeriahi ([EGZ]) proved another regularization theorem, by which one can adjust the approximation sequence to continuous quasi- functions with minimal singularity, provided the cohomology class is big.
The motivation of this paper is to investigate both the upper bound and the lower bound of the complex Hessian of the regularization. This leads us to a “localized” or “discrete” version of Demailly’s technique ([Dem83], [Dem97], [Dem92]). The naive idea is that we can first take convolution locally for a quasi- function , and then try to glue each piece together. However, this would not work in general, and the obstruction exactly comes from the difficulty of combining a “good glueing” and a “good Hessian control”. Therefore, some more delicate analysis (see Sections 3, 4) is necessary to fulfill this idea.
In fact, the regularization appearing in Demailly’s work ([Dem83], [Dem97]) has the following Hessian
[TABLE]
where consists of higher order terms twisted by the curvature of some background metric , e.g. and so on, and is a term controlled by the Lelong number of and the curvature tensor of . The remaining term is an error controlled by in ([Dem83]), and this order has been strengthened to for arbitrary in ([Dem97]). However, in the latter estimate, the information about the higher order term is lost.
In our case, the global behavior of the approximating function is comparable to Demailly’s result. We also calculated explicit formulas for all the higher order terms with an error control . Moreover, since we are doing convolutions locally first, it is expected that the complex Hessian behaves much better for those points very close to a center. In fact, we proved (see Theorem (2.1) and Corollary (2.2) for precise statements) that there exist a -net with the regularization , such that the complex Hessian is
[TABLE]
at each point . That is to say, all higher order terms and the remaining term completely vanish at these finite many points in our regularization. In fact, equation (1.2) is basically the best situation for which one can hope, for global regularization of a quasi- function on a compact complex manifold.
We hope this new regularization technique could be useful when all important information is concentrated around a net of points, e.g. the Gromov-Hausdroff limit of a sequence of Kähler manifolds. Moreover, we also would like to see its application to regularity problems for solutions of certain geometric equation, e.g. the complex homogeneous Monge-Ampère equation [BD] on a compact Kähler manifold with pseudoconvex boundary.
: The author is very grateful to Prof. Demailly, for introducing this problem and lots of useful discussion, and the author also would like to thank Prof. X.X. Chen, Prof. M. Păun, and Prof. V. Tosatti for further discussion of this paper. Finally, the author wants to thank Dr. Tao Zheng and Jian Wang for clearing some problems of this paper.
2. Statement of the Theorem
Let be a Kähler manifold with its associated Kähler form, and a function is called - if it is upper semi-continuous and satisfies , in the sense of current on .
Then we are going to demonstrate the basic idea to regularize this function as follows. First, we cover the manifold by finite many coordinate balls with small radius, such that the Kähler metric is normal at the center of each ball. Then we build the local regularization by taking convolutions of with respect to certain mollifier. However, the convolution is not taking on a Euclidean ball, but a ball twisted by the metric. This will enable us to glue each piece well, and it gives a way to compute the complex Hessian for the approximation sequence.
2.1. Covering construction
Let be a current such that is a - function on . For each point , there is a normal coordinate ball induced by the metric centered at this point with radius . Then all of these balls form an open covering of the manifold . Here we assume the geodesic distance is much smaller than the injective radius of , and then these normal coordinates are varying smoothly w.r.t. their centers.
Thanks to the well known Zorn Lemma, we can select a finite number of elements in , such that the following two properties hold:
- (a)
for each pair of centers , the geodesic distance between them is no smaller than , i.e. ; 2. (b)
these open sets are a covering of the manifold, i.e. .
In fact, we hope to see an even better covering, such that still forms an open covering of for any small . However, this is not clear to be true in general. But the obstruction indeed comes from the local convexity of these geodesic balls. Therefore, we claim that we can do the following small surgery on these geodesic balls, in such a way that the perturbed geodesic balls satisfy the following properties:
- (a’)
for each , the distance between the center of the perturbed ball and its boundary is no less than , i.e. ; 2. (b’)
around each , there exists a smaller ball centered at with radius , such that it never intersects with other balls i.e. for all ; 3. (c’)
these open sets form a covering of the manifold, i.e. .
This is because we can dig some small holes on the boundary of if it is too close to another balls’ centers. Suppose the distance between a center and the boundary is smaller than for some (at worst, is on the boundary ). Then we put , where is the geodesic ball centered at with radius . And with the open sets still forms an open covering of ! But we successfully separate a center point with its boundary at least in without changing other centers. Once we continue this process, it will terminate after finite many steps, and our claim is proved.
Furthermore, we could switch geodesic distance by Euclidean distance on each (perturbed) normal coordinate ball. The reason is that these two distances can only differ by a order of (Lemma 8.2, [Dem83]) for small enough radius, i.e.
[TABLE]
for each center and any point .
2.2. Truncated metrics
Now we take a covering of slightly larger concentric normal coordinate balls, such that there is a local trivialization for each , and we set on . Let be a tangent vector on at a point under the trivialization . And the Kähler metric introduces a norm for such tangent vector as follows:
[TABLE]
Since we used normal coordinates on , the Kähler metric has the following Talyor expansion in the ball
[TABLE]
where the tensor corresponds to the curvature of the metric at the origin. And we can arrange that the complex conjugate of tensor is . Moreover, all holomorphic or anti-holomorphic indices in the tensor are commutable as follows from the Kähler assumption. Put
[TABLE]
and we can define the following matrix of functions as
[TABLE]
and notice that this matrix is Hermitian up to the second order of . Moreover, we have the following identity between matrices
[TABLE]
The next step is to take a smooth cut-off function on such that
[TABLE]
for , and for . Then we have
[TABLE]
There is a twisted convolution on around any point defined as
[TABLE]
for all . We will call this the radius of the convolution ball. We will prove this convolution still consists of a local - function up to some small errors in Section (4), by computing its complex Hessian.
Next we try to glue by taking maxima, in such a way that the glueing process will produce a global quasi- function as follows. For each point , consider a set , and then define
[TABLE]
However, this does not always work. The problem arises from the boundary values appearing in the maximum. Therefore, in order to succeed glueing a set of local functions , we need to require the following condition
[TABLE]
for all such that the point stays in the interior of . In other words, the maximum value at each point should never be obtained by some boundary value of .
Moreover, even if we glue them successfully by taking a maximum, the resulting function is only continuous since the values of and could overlap each other. In order to investigate this problem, we can use the so called - operator to smooth them out. But this causes another small perturbation of the upper bound of the Hessian.
In order to achieve these goals, we need twist the boundary values a bit. Define a new quasi- function on each as
[TABLE]
where is certain smooth function defined on , which converges to zero while . This auxiliary function will be determined later in Section (3.2), and we call the whole term as the twisted boundary for our regularization.
2.3. Statement
Recall that the collection of perturbed balls is an open covering of satisfying conditions (a’) and (b’), and the radius of each such ball is close to . We denote by the collection of all centers of such balls, and then forms a -net of the manifold.
On the other hand, the radius of the convolution ball is . Therefore, in order to make a glueing, it is necessary to specify the relation between these two radius. We claim that the glueing will succeed if we pick up , and the following regularization holds.
Theorem 2.1**.**
Suppose is a -psh function on a Kähler manifold . Then there exists a family of smooth functions converging to pointwise as , such that the following properties hold
- (1)
For each point , there exists an open coordiante ball centered at it with uniform size in , which can be identified with the Euclidean ball , and the complex Hessian of can be computed at any point as
[TABLE]
[TABLE]
and the remaining term is of the order . 2. (2)
The global lower bound of the Hessian at any point can be estimated as
[TABLE]
where is decreasing to a limit while . Moreover, this limit is a constant multiple of the Lelong number , and the infimum of the curvature tensor of the metric. 3. (3)
The global upper bound of the Hessian is also determined by equation ((1)), except that the remaining term is of the order .
The explicit formulas of the tensors can be found in equation (4.3) and (4.3): the tensor is a polynomial of up to order , is of the order , and is of the order .
Comparing with previous works ([Dem83], [Dem92], [Dem97]), our higher order terms and the remaining term enjoy a new feature: they converge to zero faster and faster when the point is closer and closer to the center . In particular, we have the following
Corollary 2.2**.**
For any -psh function on , there exists a -net of the manifold and a sequence of smooth functions converging pointwise to , such that is globally quasi- as
[TABLE]
and its complex Hessian can be computed as
[TABLE]
at each point .
In fact, the crucial ingredient in this method is that there exists one Kähler form on . First we would like to point out that the same regularization holds if we assume that is a - functions, where is an arbitrary Kähler form on (not necessary being in the same class with ).
More generally, this technique works for any - function on a Kähler manifold, where is any continuous closed real form on . In this case, we can utilize a trick developed in Demailly [Dem92] as follows. First, there exists a homogeneous quadratic function on each ball , such that is on . Then the convolution defined as before is on each , and we put
[TABLE]
Comparing with , it is easy to see that
[TABLE]
where is the convolution taken on . Then the complex Hessian of this difference can also be estimate from equation ((1)) as
[TABLE]
The extra term causes no harm to our estimates in Theorem (2.1) if we put . Namely, we can still glue to a global quasi- function as before, and the complex Hessian has a similar formula (with an extra term ) as equation ((1)) locally. This time, the global lower bound of the complex Hessian of is changed to
[TABLE]
and our Theorem (2.1) and Corollary (2.2) follows in this case.
3. From local to global
Since we first regularize our (quasi-) function locally as in equation (2.3), the remaining issue is to glue two pieces together, by a well known technique involving taking maximum on each intersection point going back to Richberg. This requires to estimate the difference between and on the intersection .
3.1. local analysis
Suppose two coordinate balls and intersect with each other. Consider the trivialization on a slight larger ball as and . In order to distinguish them, we will use -coordinate on the ball , and -coordinate on . Therefore, we have and for any point . Then there exists a bioholomorphic map from -ball to -ball, and we also write as a function of . Now the following transition relation (written in coordinate) holds
[TABLE]
Incorporating with the Taylor expansion (6.1), we have
[TABLE]
Let denote any complex valued matrix whose all coefficients are of the order , and then equation can be written as
[TABLE]
or
[TABLE]
Since we know and , equation (3.4) implies that we have
[TABLE]
Suppose the polar decomposition of this matrix is , where is an unitary group and is semi-positive hermitian. Notice that are uniformly bounded matrices thanks to the fixed geometry of . Then the hermitian part is also of the form by equation (3.5). And we claim that such matrices are commutable up to higher order terms.
Lemma 3.1**.**
If two matrices are of the form , then we have .
Proof.
Writing the two matrices as and where are both of the type , we have
[TABLE]
and then the commutator is
[TABLE]
∎
Then we can further prove the following
Lemma 3.2**.**
Suppose equation (3.4) holds, and then there exists an unitary group , such that we have
[TABLE]
Proof.
First we assume and are Hermitian matrices. Recall that the transition matrix decomposes into , and then we can re-write equation (3.4) as
[TABLE]
Put another Hermitian matrix as , and then it is easy to see that the matrix is also of the form . Thanks to Lemma (3.2), if we put , then is almost Hermitian up to a order of , i.e.
[TABLE]
Then we can expand the the following two matrices as
[TABLE]
[TABLE]
where is the term of order in the expansion of , is the third order terms and are of order . Notice that are all Hermitian matrices. Then we can compare the matrix
[TABLE]
with
[TABLE]
Thanks to equation (3.4), there is no second or third order terms in their difference, and then we must have and . Therefore, we have
[TABLE]
and we proved equation (3.8) when and are both Hermitian.
In the general case, we use polar decomposition again to put two semi-positive Hermitian matrices as
[TABLE]
where and are unitary. Notice that we still have
[TABLE]
and the same argument as before implies the following estimate
[TABLE]
where is another unitary matrix. Then our result follows by putting .
∎
For later use, we shall also investigate the size of the derivatives of the matrix .
Lemma 3.3**.**
We have the following local estimates in the intersection for each indices
[TABLE]
Proof.
It is enough to prove one of the estimates. By differentiating equation (3.1) with respect to variables, we have
[TABLE]
But notice that the size of is controlled by
[TABLE]
Therefore, we have
[TABLE]
and then our result follows since we know and for some unitary group . ∎
Let us compare the two convolutions and at an intersection point , where , . First notice that we can re-write the integral as
[TABLE]
Notice that the volume form is a -invariant measure, and then we have
[TABLE]
where is the unitary matrix determined by and as in Lemma (3.2). Then we can first compare the following distance between two points by putting
[TABLE]
This enable us to claim the following excepted estimate
[TABLE]
for some uniform constant .
In order to prove this, we first fix two points and such that . Denote by a linear translation of in -coordinate, i.e.
[TABLE]
and then we have for all
[TABLE]
Put another linear change of coordinates as , and then we can define the following map by
[TABLE]
Notice that , and it is a biholomorphic map between two balls centered at the origin whose radiuses have the order .
Thanks to Lemma (3.2) again, the differential(on variable) of this map at the origin is
[TABLE]
and its second derivatives at the origin can be estimated by Lemma (3.3) as
[TABLE]
for all . Moreover, the inverse map of can be written down as
[TABLE]
It is easy to see that this inverse map enjoys the same properties as the function , and then we can change our convolutions as
[TABLE]
and
[TABLE]
Based on the uniform geometry of the manifold, the Taylor expansion of near the origin can be written as
[TABLE]
Then we have
[TABLE]
and the volume form is
[TABLE]
Now if we compare equation (3.24) with the following integral
[TABLE]
then the difference will be controlled by an error like (here we assume )
[TABLE]
for some uniform constant . By a further change of variables, equation (3.28) transforms into
[TABLE]
Notice that we have the following Taylor expansion for the cut-off function
[TABLE]
Here the length of the vector is determined by the value of the function near the origin, but the absolute value of these derivatives of is always uniformly bounded. Therefore, the error between and is again controlled by
[TABLE]
However, the Lelong numbers of the - function is uniformly bounded on a compact Kähler manifold. Moreover, there exists a uniform constant such that we have
[TABLE]
around each point . Suppose the radius of the convolution ball is also in the size of , then the difference between and is controlled by the following estimate
[TABLE]
for some uniform constant .
3.2. glueing
We are going to glue things together to have a global quasi-plurisubharmonic function by taking maximum among all pieces. Recall that our convolution is - on , and then our glueing target is defined to be
[TABLE]
First we claim that if we pick the auxiliary function as
[TABLE]
then will make a successful glueing. This is because we have
[TABLE]
and if the point is approaching the boundary , the error tends to a value which is larger than , as we perturbed the boundary of the ball. Then we have
[TABLE]
Therefore, this error becomes strictly negative when for some uniform constant , and our claim is proved.
Moreover, in order to cancel the perturbation caused by this auxiliary function near the center, we can introduce a cut-off function as follows. Let is a standard mollifier supported on the unit ball, such that for all , and for all . Then put , and we have estimate on its derivatives as
[TABLE]
on the ball . Therefore, we define the following auxiliary function
[TABLE]
This new choice of auxiliary function also gives a successful glueing. This is because when is close to the boundary , and for all . Moreover, the whole twisted term is complete zero inside the ball . Therefore, it contributes nothing to the complex Hessian of in .
On the other hand, for all points outside , i.e. , we have
[TABLE]
and this gives the deserved error in the complex Hessian from the twisted boundary in Theorem (2.1).
4. Hessian estimate
We are going to compute the complex Hessian of the local convolution , and this follows from a standard calculation ([Dem83]). However, we have to take care of higher order terms in the Taylor expansion since we need a better control of the error term.
4.1. The commutator
Recall that our convolution can be written as
[TABLE]
Put another variable , where we separate the variables by taking , and then we have the following Taylor expansion
[TABLE]
[TABLE]
where all holomorphic indices or anti-holomorphic indices in tensors and are commutable. Moreover, the complex conjugate of the tensor is . Then we can change variables while fixing
[TABLE]
and
[TABLE]
Therefore, the volume form can be computed as
[TABLE]
where the -tensor is defined to be
[TABLE]
and we will postpone the calculation of the fifth order term to next section.
Let be as a tangent vector over a point , and we are going the compute the complex Hessian of at this point acting on the vector . Observe that the following commutator acts on the smooth measure as
[TABLE]
Put two new operators as and , then we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Therefore, we have
[TABLE]
where the two tensors are defined as
[TABLE]
[TABLE]
and the higher order terms and will be calculated next section. Moreover, we have
[TABLE]
Combining equation (4.10) and (4.1), a long computation shows the follows
[TABLE]
where the terms are
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
and the higher order terms and will be treated in later section. Notice that above terms, except , could be divergent while decreasing to zero even if . Then we have to use integration by parts to swipe the derivatives into ! And we are going to carry out all details for the computation as follows. We fix the point as , and do integration by parts to terms first
[TABLE]
Therefore, we have
[TABLE]
and
[TABLE]
Put
[TABLE]
and if we compare equation (4.1) with (4.14), then it becomes as follows
[TABLE]
Moreover, we can switch by by adding higher order terms, since we have the Taylor expansion for an arbitrary smooth cut-off function as
[TABLE]
Now we have
[TABLE]
and also for , we have
[TABLE]
Therefore, we have
[TABLE]
And then we have
[TABLE]
However, observe the following fact
[TABLE]
Therefore, incorporating equations (4.17), (4.1) and (4.21) into equation (4.1), the commutator further reduces to
[TABLE]
where the remaining error is
[TABLE]
This formula looks very complicate. However, at the center of the ball, we have a rather simple form for as
[TABLE]
and no remaining terms left at the center.
4.2. Higher order terms
We are going to compute the higher order terms in the integral. Here higher order terms refer to terms in the bracket of or terms in the bracket of .
And we shall use the following convention to simplify the calculation of tensors: we omit all indices summing over or variables. For instance, the tensor is written as , is , is , is and so on.
First notice that the fifth order term in the volume form can be calculated from equation (4.1) as
[TABLE]
Then a brutal force calculation shows all terms in equation (4.1) as follows
[TABLE]
where
[TABLE]
And we have
[TABLE]
where
[TABLE]
Next we are going to apply a slight different trick with the case only involving lower order terms. It is necessary to compute the derivatives of the following
[TABLE]
where are the same lower order terms appearing in equation (4.14), and higher order terms are
[TABLE]
and
[TABLE]
Subtract equation (4.27) from equation (4.1), and then we have the following higher order terms left in the bracket of
[TABLE]
and in the bracket of
[TABLE]
Then a straightforward calculation shows the follows
[TABLE]
Therefore, we have another equation to replace equation (4.1)
[TABLE]
where the remaining error is
[TABLE]
4.3. Integration by parts
Integration by parts gives us the following complex Hessian of at a point with convolution radius . Recall that , and we have
[TABLE]
where
[TABLE]
and
[TABLE]
Here the tensors are defined in equation (4.30), and they are all of order . Moreover, these tensors also satisfy the following relation, i.e. , since all tensors involved like and are bi-Hermitian.
Now if we choose the size of to be , i.e. , then it is easy to see . Therefore, the last error term in equation (4.3) is controlled by
[TABLE]
for some uniform constant . Obviously, this error converges to zero when does. Moreover, the integral of the error term is always bounded by .
In fact, we have a rather simple formula at the center of the ball for each , and then equation (4.3) becomes as follows
[TABLE]
The first term on the RHS of equation (4.36) is coming from the local convolution on Euclidean ball. The second term is essentially induced from the curvature of the metric on the manifold, and it is controlled by the Lelong number of at this point.
We can take a closer look at this term controlled by Lelong numbers. First we introduce the following lower and upper bound of the curvature tensor in the coordinate ball
[TABLE]
and also
[TABLE]
Put and , and the Lelong number of the plurisubharmonic function at point is given by the following limit
[TABLE]
and it is independent of the chosen coordinate. Put , and then we have
Lemma 4.1**.**
Let be the following numbers at the point
[TABLE]
[TABLE]
for uniform constant . Then we have for all and any small enough
[TABLE]
Moreover, the positive number is increasing(decreasing) to the value as converging to zero.
Proof.
First we can assume is plurisubharmonic locally by adding an error term like . Then notice that the following matrix is Hermitian
[TABLE]
and the largest(lowest) eigenvalue of is bounded by by definition. Suppose is another positive Hermitian matrix, and then we have
[TABLE]
by a well known lemma in linear algebra. Then the rest part of the proof is following from Demailly’s work [Dem83] by putting
[TABLE]
∎
Now observe that all higher order terms convoluting with the Hessian of in equation are also uniformly controlled by small errors. For instance, if we pick up , then all terms are in the order of . Therefore, we can assume our potentials function is a local function by adding an error term like . Moreover, we can switch equation (4.3) to the following form
[TABLE]
where
[TABLE]
However, as we already observed, all the tensors like
[TABLE]
satisfy the bi-Hermitian relation, and the a similar argument as in the proof of Lemma (4.1) implies that is indeed controlled by the Lelong number of with a multiple of order !
In conclusion, we proved that is a local quasi- function on each as
[TABLE]
Therefore, combing with the twisted term introduced in last section, we see that our glueing target is also a local quasi- function as
[TABLE]
Up to this stage, we proved the statement (1) in Theorem (2.1).
5. Preserve smoothness
Instead of using maximum operator, we are going to invoke the regularized maximum operator for glueing purpose. However, this causes further regularity issues since the second derivative of a (regularized) maximum operator is blowing up in certain direction.
5.1. Regularized maximum operator
The regularized maximum operator defined for any small is a smooth and convex function, which is also non-decreasing for each variable [abook]. It is indeed a smoothing of the maximal function on .
In fact, on an ordered set, we can repeat applying for times to recover , i.e. we can define
[TABLE]
Therefore, we will assume in the rest part of the paper. Then on the intersection of and , we have to investigate the complex Hessian of .
Put and , and then we have the following result (Lemma (5.1), [Li15])
[TABLE]
Moreover, the second derivative of in pure direction can be estimated as
[TABLE]
Then we can calculate the complex Hessian on -coordinate as follows
[TABLE]
First notice that the last term on RHS of equation (5.2) forms a positive Hermitian matrix at a given point. Therefore, the lower bound of the complex Hessian will not be affected when one passes from local to global. Combing with equation (4.43), we proved the statement (2) of Theorem (2.1).
However, we have to take care of this term while considering the upper bound of the Hessian. Notice that we have , and then we only need to compare the derivatives of and at a fixed point . This is essentially the same estimate as we did in proving equation (3.20), and we claim that the following estimate holds
[TABLE]
for some uniform constant .
The proof of this claim will be postponed to next section, and then the last term on RHS of equation (5.2) can be controlled by choosing as
[TABLE]
for some uniform constant .
Therefore, combing equation (5.1), (5.2) and (5.4), we proved our statement in Theorem (2.1).
5.2. Estimates on derivatives
We will prove the claim, equation (5.3), in this section. First there always exists a sequence of local smooth (quasi-) functions to approximate around the point . For instance, in a small geodesic ball centered at , take the convolution of w.r.t. a mollifier supported on this ball. Then is again a (quasi-) function, decreasing to pointwise, and converges to in for any on this ball.
Put and , and then it is easy to see that we have again. As before, we assume corresponds to the point in the intersection. Now we can also define their convolutions as
[TABLE]
and is defined in a similar way. Next we claim that the derivative converges to while , for any fixed point and radius . The reason is as follows: first we can put and as before, and then view as a function of and variables. Thus the derivative of at the point can be computed as
[TABLE]
where
[TABLE]
is a smooth cut-off function supported in a small ball around . Then our claim is clear from the definition of the convolution.
Therefore, in order to control , it is enough to have a uniform estimate on . However, notice that we need to take derivatives of on -coordinate
[TABLE]
where
[TABLE]
Moreover, we can rewrite as before, and its derivatives at is
[TABLE]
where . However, thanks to Lemma (3.3), we have the following estimate for these holomorphic functions
[TABLE]
Moreover, on compact Kähler manifold, there exists a uniform constant , such that we have
[TABLE]
in any small ball around each point . Therefore, with an error term uniformly controlled by , it is enough to estimate the difference between
[TABLE]
and
[TABLE]
However, this is exactly what we did in proving equation (3.20). Then a similar argument by replacing by gives the following estimate
[TABLE]
Here the constant only depends on the geometry of and . Therefore, the difference is uniformly (not depending on ) controlled as
[TABLE]
and then our claim follows.
6. Obstruction
One may expect that the trick of doing integration by parts always works for different higher order terms in equation (4.1). Unfortunately, this is not true even in one dimension! In fact, the obstruction of switching to integration by parts comes from those “good terms” like all terms in the equation. These terms are “goood” in the sense that their averages on the ball are uniformly controlled by while and fixed. We will show this phenomenon in one dimension below.
Suppose is a Rieman surface, then we can truncate the metric on a small normal coordinate ball around a point as
[TABLE]
where the tensor corresponds to the curvature of the metric at the origin. Put
[TABLE]
and we are going calculate the complex Hessian of the following convolution
[TABLE]
on a local coordinate ball . Put and , and then we have
[TABLE]
Denote the following two differential operators for the commutator as before:
[TABLE]
and then we have , and , . Now a similar computation shows that we have the following equation
[TABLE]
Moreover, notice that the following modification has no effect on those in equation (6.3)
[TABLE]
Therefore, terms are left in equation (6.3) as
[TABLE]
Unfortunately, it seems there is no way to deal with the last term on the RHS of equation (6.5), and we always left some terms with error like
[TABLE]
in the integral.
In fact, there is a way to cancel these terms. Remember we only did a linear change of the variables as , and then the point is that we can add some quadratic terms of in the twisting as
[TABLE]
and then we can hope to play the same trick of integration by parts to these terms. This will enable us to improve the error term in the statement (1) of Theorem (2.1) to .
7. Appendix
Let be a hermitian matrix, and denote a twisted Euclidean ball in by
[TABLE]
If the center is the origin, then we simply use instead of .
Suppose is a bounded plurisubharmonic function in a domain , and is a standard mollifier supported in the Euclidean unit ball . We can further define the following three functions in a slightly smaller domain by writing
[TABLE]
[TABLE]
[TABLE]
Observe that we have
[TABLE]
where
[TABLE]
Lemma 7.1**.**
For small enough, we can estimate the difference between and as
[TABLE]
where is a uniform constant only depending on .
For fixed matrix , the translation is linear. Thanks to [Hom], the function is plurisubharmonic both in . Therefore, if we define the following function by
[TABLE]
then is plurisubharmonic in . And we can re-write our three functions for fixed as
[TABLE]
[TABLE]
[TABLE]
This immediately implies that are all non-decreasing and convex in . Moreover, we can further estimate the convergence rate of these functions when goes to as in [BK]. For given fixed , and , we have
[TABLE]
for small enough. Notice that the RHS of equation (7.9) converges to zero uniformly(Not depending on !) by boundedness of
[TABLE]
Apple Harnack’s inequality [Kis], we further see
[TABLE]
and
[TABLE]
by the same reason as in inequalities (7.9) (7.10). Finally, our result follows from combing equations (7.11) and (7.12).
References
