
TL;DR
This paper establishes a link between the existence of solutions to the J-equation and uniform J-stability on Kähler manifolds, and extends the approach to the deformed Hermitian-Yang-Mills equation.
Contribution
It proves the equivalence between solving the J-equation and uniform J-stability, and applies the method to the deformed Hermitian-Yang-Mills equation.
Findings
Existence of solutions to the J-equation is equivalent to uniform J-stability.
Many constant scalar curvature Kähler metrics with negative first Chern class are constructed.
A similar stability result is proved for the deformed Hermitian-Yang-Mills equation.
Abstract
In this paper, we prove that for any K\"ahler metrics and on , there exists satisfying the J-equation if and only if is uniformly J-stable. As a corollary, we can find many constant scalar curvature K\"ahler metrics with . Using the same method, we also prove a similar result for the deformed Hermitian-Yang-Mills equation when the angle is in .
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On J-equation
Gao Chen
Abstract
In this paper, we prove that for any Kähler metrics and on , there exists satisfying the J-equation if and only if is uniformly J-stable. As a corollary, we can find many constant scalar curvature Kähler metrics with . Using the same method, we also prove a similar result for the deformed Hermitian-Yang-Mills equation when the angle is in .
1 Introduction
In this paper, our main goal is to prove the equivalence of the solvability of the J-equation and a notion of stability. Given Kähler metrics and on , the J-equation is defined as
[TABLE]
for
[TABLE]
In general, the equivalence of the stability and the solvability of an equation is very common in geometry. One of the first results in this direction was the celebrated work of Donaldson-Uhlenbeck-Yau [20, 39] on Hermitian-Yang-Mills connections. Inspired by the study of Hermitian-Yang-Mills connections, Donaldson proposed many questions including the study of J-equation using the moment map interpretation [21]. It was the first appearance of the J-equation in the literature.
Yau conjectured that the existence of Fano Kähler-Einstein metric is also equivalent to some kind of stability [41]. Tian made it precise in Fano Kähler-Einstein case and it was called the K-stability condition [37]. It was generalized by Donaldson to the constant scalar curvature Kähler (cscK) problem in projective case [22]. This conjecture has been proved by Chen-Donaldson-Sun [9, 10, 11] in Fano Kähler-Einstein case. However, there is evidence that this conjecture may be wrong in cscK case [1]. There is a folklore conjecture that the uniform version of K-stability may be a correct substitution. When restricted to special test configurations called “degeneration to normal cones”, the uniform K-stability is reduced to Ross-Thomas’s uniform slope K-stability [31]. More recently, the projective assumption was removed by the work of Dervan-Ross [19] and independently by Sjöström Dyrefelt [33].
It is easy to see that cscK metrics are critical points of the K-energy functional [5]
[TABLE]
The functional for any (1,1)-form is defined by
[TABLE]
where is the constant given by
[TABLE]
When is a Kähler form, it is well known that the critical point of the functional is exactly the solution to the J-equation. It was the second appearance of the J-equation in the literature. Following this formula, using the interpolation of the K-energy and the functional, Chen-Cheng [6, 7, 8] proved that the existence of cscK metric is equivalent to the geodesic stability of K-energy. However, the relationship between the existence of cscK metrics and the uniform K-stability is still open.
When we replace the K-energy by the functional for a Kähler form , the analogy of the K-stability and the slope stability conditions were proposed by Lejmi and Székelyhidi [28]. See also Section 6 of [19] for the extension to non-projective case. The main theorem of this paper proves the equivalence between the existence of the critical point of functional, the solvability of J-equation, the coerciveness of functional, and the uniform J-stability as well as the uniform slope J-stability.
Theorem 1.1**.**
(Main Theorem) Fix a Kähler manifold with Kähler metrics and . Let be the constant such that
[TABLE]
then the followings are equivalent:
(1) There exists a unique smooth function up to a constant such that satisfies the J-equation
[TABLE]
(2) There exists a unique smooth function up to a constant such that satisfies the J-equation
[TABLE]
(3) There exists a unique smooth function up to a constant such that is the critical point of the functional;
(4) The functional is coercive, in other words, there exist and another constant such that ;
(5) is uniformly J-stable, in other words, there exists such that for all Kähler test configurations defined as Definition 2.10 of [19], the numerical invariant defined as Definition 6.3 of [19] satisfies ;
(6) is uniformly slope J-stable, in other words, there exists such that for any subvariety of , the degeneration to normal cone defined as Example 2.11 (ii) of [19] satisfies ;
(7) There exists such that
[TABLE]
for all -dimensional subvarieties with .
Remark 1.2**.**
Lejmi and Székelyhidi’s original conjecture is that the solvability of
[TABLE]
is equivalent to
[TABLE]
for all -dimensional subvarieties with [28]. However, it seems that our uniform version is more natural from geometric point of view.
Remark 1.3**.**
It is well known that there exists a constant depending on such that the functional
[TABLE]
and Aubin’s I-functional
[TABLE]
satisfy
[TABLE]
For example, Collins and Székelyhidi used this fact and their Definition 20 in [13] replaced by in the definition of the coerciveness which was called “properness” in [13]. By (3) of [2], Aubin’s I-functional can also be replaced by Aubin’s J-functional in the definition of coerciveness. Accordingly, in the definition of uniform stability, the numerical invariant can be replaced by the minimum norm of defined as Definition 2.18 of [19]. By (62) of [16], Aubin’s J-functional can be further replaced by the distance in the definition of the coerciveness when is normalized such that the Aubin-Mabuchi energy of is 0.
Remark 1.4**.**
By Proposition 2 of [5], if the solution to the J-equation exists, it is unique up to a constant. It is easy to see that (1) and (2) are equivalent. The equivalence between (2) and (3) follows from the formula
[TABLE]
By Proposition 21 and Proposition 22 of [13] and Remark 1.3, (1) and (4) are equivalent. By Corollary 6.5 of [19], (4) implies (5). It is trivial that (5) implies (6). By [28], (6) implies (7) in the projective case if is replaced by 0. However, it is easy to see that it is also true in non-projective case and for positive . Thus, we only need to prove that (7) implies (1) in Theorem 1.1. Remark that there is a simpler proof that (1) implies (7). Let and , then for any , the condition
[TABLE]
is equivalent to
[TABLE]
for all distinct numbers . So as well as the upper bounds of imply that for small enough ,
[TABLE]
for all . (4) follows from the fact that
[TABLE]
When , we can choose as a Kähler form in . Since is bounded from below for any , the entropy is also bounded from below. So the coerciveness of functional implies the coerciveness of K-energy. This observation appeared as Remark 2 of [5]. Using this observation, as a corollary of Theorem 1.3 of [7] and Theorem 1.1, we can find many cscK metrics with .
Corollary 1.5**.**
If , and , then for any Kähler class such that
[TABLE]
for all -dimensional subvarieties with , there exists a cscK metric in .
Remark 1.6**.**
If there exists such that and has constant scalar curvature, then the condition above is also necessary.
Besides the appearances in the moment map picture and the study of the cscK problem, J-equation also arises from the study of mirror symmetry. In fact, using the following observation of Collins-Jacob-Yau [12]
[TABLE]
the J-equation is exactly the limit of the deformed Hermitian-Yang-Mills equation
[TABLE]
where are the eigenvalues of with respect to . It plays an important role in the study of mirror symmetry [35, 29].
Motivated by the J-equation, Collins-Jacob-Yau [12] conjectured that the solvability of the deformed Hermitian-Yang-Mills equation is also equivalent to a notion of stability. In this paper, we prove the uniform version of their conjecture when the angle is in :
Theorem 1.7**.**
Fix a Kähler manifold with Kähler metrics and . Let be a constant. Then there exists a unique smooth function up to a constant such that
[TABLE]
for eigenvalues of with respect to if and only if there exists a constant and for all -dimensional subvarieties with ( can be chosen as ), there exist smooth functions from to such that for all ,
[TABLE]
Moreover, when , it is required that .
Remark 1.8**.**
We only study the case when in this paper. So it is natural to assume that is a Kähler class. However, usually we need extra conditions in addition to being Kähler to make sure is not 0 so that is well defined. When , is always well defined and increasing for without any extra assumption. In addition, . When ,
[TABLE]
So if the inequality
[TABLE]
in Proposition 3.3 of [14] holds, then is well defined for . Moreover, if , then is increasing for . In addition, . So the choice of in this paper is the same as the choice of in Proposition 8.4 of [15]. In higher dimensions, more inequalities are involved.
Remark 1.9**.**
Collins-Jacob-Yau conjectured that for all is equivalent to the solvability of the deformed Hermitian-Yang-Mills equation [12]. However, it seems that our uniform version is more natural because Definition 8.10 (2) of [15] also assumed the uniform positive lower bound.
Remark 1.10**.**
By Theorem 1.1 of [26], the solution to the deformed Hermitian-Yang-Mills equation is unique up to a constant if it exists. The “only if” part of Theorem 1.7 is a combination of Proposition 3.1 of [12] and Remark 1.4. So we only need to prove the “if” part of Theorem 1.7.
Theorem 1.7 will be proved in Section 5 using the same method of the proof of Theorem 1.1.
Instead of Theorem 1.1, we will prove the following stronger statement by induction:
Theorem 1.11**.**
Fix a Kähler manifold with Kähler metrics and . Let be a constant and be a smooth function satisfying
[TABLE]
then there exists satisfying the equation
[TABLE]
and the inequality
[TABLE]
if there exists such that
[TABLE]
for all -dimensional subvarieties with .
Remark 1.12**.**
By Remark 1.4, Theorem 1.1 is a corollary of Theorem 1.11 by choosing .
Remark 1.13**.**
When , Theorem 1.11 is trivial. When , Theorem 1.11 is the statement that the Demailly-Paun’s characterization [18] for being Kähler implies the solvability of the Calabi conjecture
[TABLE]
by Yau [40]. In the toric case when is a non-negative constant, Theorem 1.11 was proved by Collins and Székelyhidi [13].
There are several steps to prove Theorem 1.11.
Step 1: Prove the following:
Theorem 1.14**.**
Fix a Kähler manifold with Kähler metrics and . Let be a constant and be a smooth function satisfying
[TABLE]
then there exists satisfying the equation
[TABLE]
and the inequality
[TABLE]
if
[TABLE]
We will use the continuity method to prove Theorem 1.14. The details will be provided in Section 2.
Remark 1.15**.**
Let and , then the equation
[TABLE]
is equivalent to
[TABLE]
Remark 1.16**.**
Suppose for all and
[TABLE]
then as long as , it is easy to see that .
Remark 1.17**.**
When , Theorem 1.14 is the Calabi conjecture solved by Yau [40]. When , Theorem 1.14 is a speical case of Song and Weinkove’s result [34]. When is a constant times , Theorem 1.14 was proved by Zheng [42].
Step 2: Prove the following:
Theorem 1.18**.**
Fix a Kähler manifold with Kähler metrics and . Suppose that for all , there exist a constant and a smooth Kähler form satisfying
[TABLE]
and
[TABLE]
Then there exist a constant and a current such that
[TABLE]
in the sense of Definition 3.3.
Remark 1.19**.**
In general we can only take the wedge product of when is in . Bedford-Taylor [3] proved that it can also be defined when is in . In our case, is unbounded, so we have to figure out the correct definition of
[TABLE]
for unbounded and . This will be done in Definition 3.3.
Remark 1.20**.**
When , it is same as Theorem 2.12 of [18].
Now let us sketch the proof here. It is analogous to the proof of Theorem 2.12 of Demailly-Paun’s paper [18]. Consider the diagonal inside the product manifold . Cover it by finitely many open coordinate balls . Since is non-singular, we can assume that on , , are coordinates and . Assume that are smooth functions supported in such that in a neighborhood of . For , define
[TABLE]
Define
[TABLE]
and
[TABLE]
Let
[TABLE]
then by Lemma 2.1 (ii) of [18], there exists such that for small enough,
[TABLE]
Now we consider . By Theorem 1.14, there exists such that
[TABLE]
Now define by
[TABLE]
Fix and let and converge to 0. For small enough , let be the weak limit of . Then we shall expect
[TABLE]
in the sense of Definition 3.3. The details will be provided in Section 3.
Step 3: Consider the set of such that there exist a constant and a smooth Kähler form satisfying
[TABLE]
and
[TABLE]
By Theorem 1.14, it suffices to show that . When is large enough, the condition of Theorem 1.14 is satisfied. So . It is easy to see that if , then for nearby , the condition of Theorem 1.14 is also satisfied. So is open. Still by Theorem 1.14, as long as , then for all , . Thus, in order to prove the closedness of , it suffices to show that if for all , then . After replacing by , we can without loss of generality assume that . In particular we can apply Theorem 1.18 to get .
Let be the Lelong number of at . For to be determined, let be the set
[TABLE]
By the result of Siu [32], is a subvariety with dimension . Assume that is smooth, then by induction hypothesis, we can apply Theorem 1.11 to to obtain a smooth function on such that satisfies
[TABLE]
on . Then for large enough ,
[TABLE]
satisfies
[TABLE]
on a tubular neighborhood of , where means the projection to . By a generalization of the result of Błocki and Kołodziej [4], we can glue the smoothing of outside and near into satisfying
[TABLE]
on . Then we are done by Theorem 1.14. In general, is singular and we need to use Hironaka’s desingularization theorem to resolve it. The details will be provided in Section 4.
Acknowledgement
The author wishes to thank Xiuxiong Chen for suggesting him this problem and providing valuable comments. The author is also grateful to Jingrui Cheng for pointing out a gap in the first version of this paper, Helmut Hofer for a discussion about symplectic geometry as well as Simone Calamai and Long Li for minor suggestions. This material is based upon work supported by the National Science Foundation under Grant No. 1638352, as well as support from the S. S. Chern Foundation for Mathematics Research Fund.
2 The analysis part
In this section, we use the continuity method twice to prove Theorem 1.14. First of all, for , define by
[TABLE]
and define as the constant such that
[TABLE]
Now we consider the set consisting of all such that there exists for smooth satisfying
[TABLE]
and
[TABLE]
Then it is easy to see that . Remark that the equation is the same as
[TABLE]
The linearization is
[TABLE]
Assume that , then the left hand side is a second order elliptic equation on . On the other hands, the integrability condition implies that the integral of the right hand side is 0. By standard elliptic theory and the implicit function theorem, is open when we replace the smoothness assumption of by . However, standard elliptic regularity theory implies that any solution is automatically smooth. So is in fact open.
Assume that we are able to show the closedness of , then we have proved Theorem 1.14 for replaced by . We can use another continuity path by fixing and but choosing . However, it is the same as before except that is a function instead of a constant. Thus, we only need to prove the a priori estimate of by assuming that is a function. We start from the following proposition which is analogous to Lemma 3.1 of Song-Weinkove’s paper [34]:
Proposition 2.1**.**
Assume that and is the corresponding solution, then there exist constants and depending only on , , the -norm of with respect to , the -norm of with respect to such that
[TABLE]
Proof.
In local coordinates, and . Fix any point , choose a -normal coordinate such that , and at , where the derivatives are all ordinary derivatives. Then the equation is
[TABLE]
Define an operator by
[TABLE]
then it is easy to see that is independent of the choice of local coordinates.
At ,
[TABLE]
Since and , it is easy to see that
[TABLE]
for all . So is a second order elliptic operator.
Now we compute . It equals to
[TABLE]
at .
Now we differentiate the equation
[TABLE]
then
[TABLE]
So
[TABLE]
at .
By Kähler condition, , and . Using the bounds that for all , , it is easy to see that by taking the sum of the previous two equations,
[TABLE]
Remark that
[TABLE]
and
[TABLE]
So
[TABLE]
We have used
[TABLE]
here.
By Cauchy-Schwarz inequality and the fact that ,
[TABLE]
so at . However, since is arbitrary and is independent of the local coordinates, we see that on .
Choose as a small constant such that
[TABLE]
then
[TABLE]
by the definition of . Choose as , then at the maximal point of ,
[TABLE]
If
[TABLE]
by the proof of Lemma 3.1 of [34], . If
[TABLE]
then
[TABLE]
so . Using the fact that , is also true. This completes the proof of the proposition. ∎
By adding a constant if necessary, we can without loss of generality assume that . Then we have the following estimate:
Proposition 2.2**.**
[TABLE]
Moreover, .
Proof.
Lemma 3.3 and Lemma 3.4 and Proposition 3.5 of [34] only used the inequality in Proposition 2.1. So they are still true in our case. ∎
Proposition 2.3**.**
* is closed.*
Proof.
First of all, we want to check the uniform ellipticity and concavity for the Evans-Krylov estimate. The equation is
[TABLE]
View it as a function in terms of , and , then the partial derivative in the direction is
[TABLE]
At , it equals to
[TABLE]
It has uniform upper bound and lower bound.
The second order derivative in and direction is
[TABLE]
At , when taking the product with and summing for any matrix , we get
[TABLE]
It is easy to see that it is non-positive.
Thus, if we replace the complex second derivatives by real second derivatives, the uniform ellipticity and concavity for the Evans-Krylov estimate [23, 24, 27, 38] are satisfied. By checking Evans-Krylov’s estimate carefully, it is easy to see that in our complex case, the estimate
[TABLE]
is still true.
By standard elliptic estimate, is bounded. By Arzela-Ascoli theorem, if and , then a subsequence of converges to in -norm. By Remark 1.16,
[TABLE]
So by standard elliptic regularity, is smooth. In other words, . ∎
3 Concentration of mass and its application
In this section, we prove Theorem 1.18. However, before that, we need to figure out the correct definition of
[TABLE]
when is only a current.
Recall the following definition of the smoothing:
Definition 3.1**.**
Fix a smooth non-negative function supported in [0,1] such that
[TABLE]
and is a positive constant near 0. For any , the smoothing is defined by
[TABLE]
We can define the smoothing of a current using similar formula. It is easy to see that the smoothing commutes with derivatives. So .
Recall that if and only if for all . As an analogy, we can define
[TABLE]
for a closed positive (1,1) current using smoothing. Remark that any closed positive (1,1) current can be written as acting on a real function locally.
Definition 3.2**.**
Suppose that is a Kähler form with constant coefficients on an open set . Then we say that
[TABLE]
on if for any , the smoothing satisfies
[TABLE]
on the set .
We can also define it without the constant coefficients assumption.
Definition 3.3**.**
We say that
[TABLE]
if on any coordinate chart, for any open subset , as long as on for a Kähler form with constant coefficients, then
[TABLE]
Remark 3.4**.**
[TABLE]
is a convex property for . So if is smooth, then
[TABLE]
on pointwise if and only if it is true on in the sense of Definition 3.3.
For simplicity, for any positive definite matrix , we define by
[TABLE]
where are the eigenvalues of . Then
[TABLE]
is equivalent to .
Now we need a lemma:
Lemma 3.5**.**
[TABLE]
Proof.
By restricting on the codimension 1 subspaces, it suffices to prove that
[TABLE]
It is easy to see that
[TABLE]
So
[TABLE]
After taking traces, the left hand side equals to
[TABLE]
∎
Now we start the proof of Theorem 1.18. By assumption, for any , there exist and satisfying
[TABLE]
and
[TABLE]
Consider and . At each point, diagonalizing them so that and . Then the eigenvalues on the product manifold are . Their inverses are . So the sum of them is at most because . In particular, the sum of (2n-1) distinct elements among them is also at most . Define as in Section 1, then there exists such that for small enough, . So we can apply Theorem 1.14 to get such that and
[TABLE]
For each point , we assume that are the local coordinates on , and are the local coordinates on . Then we can express as
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
[TABLE]
After changing the definition of if necessary, we can assume that
[TABLE]
and
[TABLE]
at .
Now consider defined as
[TABLE]
At ,
[TABLE]
and
[TABLE]
By Lemma 3.5,
[TABLE]
Now we view
[TABLE]
as a measure on , then it is easy to see that
[TABLE]
By the monotonicity and convexity of ,
[TABLE]
Up to here, we have not used the equation
[TABLE]
By the equation, . So as in Proposition 2.6 of [18], it is easy to see that for any weak limit of when and converging to 0, for a constant . Let be the neighborhood of with respect to . Then for any , for any small enough and , the smoothing of
[TABLE]
is at least for small enough and .
Similarly, locally for any dimensional subvariety containing , for any weak limit of , for . Since the dimension of is strictly smaller then , for any fixed smoothing function, for any , there exists such that the smoothing of
[TABLE]
is at most for small enough and .
Now let be an arbitrary small positive number. Then we can choose such that . Then we choose the number depending on . For any Kähler form restricted to the first coordinates of , after choosing a good coordinate, assume that and . We define the truncation by . Now consider the truncation defined as
[TABLE]
where the (1,1)-form is defined by
[TABLE]
The smoothing of
[TABLE]
is at least for small enough and . In fact, the sum of the first two terms is non-negative outside , the sum of the first and third term inside is at least and the second term inside is at least .
By the choice of , the smoothing of
[TABLE]
is nonnegative for small enough and . On the other hands,
[TABLE]
for any (1,1)-form on the first coordinates of . So using the estimate of , it is easy to see that
[TABLE]
So if on the support of the smoothing function for a Kähler form with constant coefficients, then acting on the smoothing of is at most . So acting on the smoothing of is also at most . Let be a weak limit of , then , where . Moreover, acting on the smoothing of is at most . Since is arbitrary, it is at most . This completes the proof of Theorem 1.18.
4 Regularization
In this section, we prove Theorem 1.11. By Remark 1.13, the and cases have been proved. By induction, we can assume that Theorem 1.11 has been proved in dimension 1, 2, …, . By Section 1, we can in addition assume that the condition of Theorem 1.18 are satisfied. So by Theorem 1.18, there exist a constant and a current such that
[TABLE]
in the sense of Definition 3.3.
Pick small enough such that
[TABLE]
Then there exists a current such that
[TABLE]
in the sense of Definition 3.3.
Now we pick a finite number of coordinate balls such that is a cover of . Moreover, we require that
[TABLE]
on for Kähler forms with constant coefficients. We also assume that
[TABLE]
on . Let be potential such that on . Then we also assume that
[TABLE]
Let be the smoothing of . When , it is well defined on . By assumption, it is easy to see that
[TABLE]
So
[TABLE]
Now define the function from to as , our goal is to show that for any ,
[TABLE]
If this is true, then for the smooth function on , where means the regularized maximum by choosing the parameters “” in Lemma I.5.18 of [17] to be smaller than , the Kähler form will satisfy . In general, this is not true. However, using the proof of the results of Błocki and Kołodziej [4], it is in fact true if the Lelong number is small enough. The details consist the rest of this section.
It is easy to see that if and , . For any and , we define by
[TABLE]
and define by
[TABLE]
Then is monotonically non-decreasing in . Recall that the Lelong number is defined by
[TABLE]
It is independent of and can be denoted as instead. Recall the definition of in Definition 3.1. Let
[TABLE]
then by the result of Siu [32], the set is a subvariety.
For simplicity, we assume that is smooth. The singular case will be done at the end of this section.
Since is smooth by our assumption, as in Section 1, there exists a smooth function in a neighborhood of such that
[TABLE]
on . Now we pick smaller neighborhoods and such that and . We need to prove the following proposition:
Proposition 4.1**.**
(1) For small enough , if
[TABLE]
then
[TABLE]
(2) For small enough , if
[TABLE]
then
[TABLE]
(3) For small enough , if
[TABLE]
then
[TABLE]
If Proposition 4.1 is true, for small enough , we can define as the regularized maximum of on and on . Since for , for small enough , for all . So by Proposition 4.1 (1), we do not need to worry about the discontiuty near the boundary of . By Proposition 4.1 (2) and (3), there is also no need to worry about the discontinuity near the boundary of . In conclusion, will be smooth and satisfy
[TABLE]
on as long as is smooth and Proposition 4.1 is true.
In order to prove Proposition 4.1, we need the following lemma of Błocki and Kołodziej [4].
Lemma 4.2**.**
For any and , the following estimates hold:
(1) for all ,
(2) .
Proof.
For readers’ convenience, we almost line by line copy the paper [4] here:
(1) It follows from the logarithmical convexity of and the definition of .
(2) Define another regularization by
[TABLE]
Then by the Poisson kernel for subharmonic functions [4] and the estimate in (1),
[TABLE]
for all . By monotonicity,
[TABLE]
Define
[TABLE]
then . So
[TABLE]
By the estimate in (1) again,
[TABLE]
The other side of inequality is trivial. ∎
It is easy to see that there exists a constant such that for any and , . Now we are ready to prove Proposition 4.1.
(1) Suppose , and
[TABLE]
then
[TABLE]
By Lemma 4.2 (2),
[TABLE]
It is easy to see that for small enough,
[TABLE]
because is uniformly bounded on .
(2) Suppose , and
[TABLE]
then as before
[TABLE]
By Lemma 4.2 (1) and the definition of ,
[TABLE]
If , then and therefore
[TABLE]
By the definition of and , it is easy to see that if is small enough.
(3) Suppose , and
[TABLE]
then
[TABLE]
and
[TABLE]
By Lemma 4.2 (1),
[TABLE]
By Lemma 4.2 (2), and
[TABLE]
Since , by summing everything together, for small enough, . We are done if is smooth.
In general is singular. By Hironaka’s desingularization theorem, there exists a blow-up of obtained by a sequence of blow-ups with smooth centers such that the proper transform of is smooth. Without loss of generality, assume that we only need to blow up once. Let be the projection of to . Let be the exceptional divisor. Let be the defining section of . Let be any smooth metric on the line bundle , then by the Poincaré-Lelong equation. Then it is well known that the smooth (1,1)-form on and . For example, see Lemma 3.5 of [18] for the explanation. Define . Then is a Kähler form on .
Lemma 4.3**.**
Let . Then for all small enough and -dimensional subvarieties of , as long as ,
[TABLE]
Proof.
By assumption,
[TABLE]
So
[TABLE]
It suffices to show that
[TABLE]
Since it only depends on the cohomology classes, we want to replace by a better representative in its cohomology class. Remark that is smooth by assumption. So we can apply Theorem 1.11 to . As in Section 1, there exists a smooth function on a neighborhood of in such that satisfies
[TABLE]
on . Define on . Recall the definition of the regularized maximum in Lemma I.5.18 of [17]. For large enough , let be the regularized maximum of and . Then is smooth on and on . Moreover, there exists a smaller neighborhood of such that on .
After replacing by , it suffices to show that
[TABLE]
By definition of ,
[TABLE]
for all . So we can combine the first term and the second term. If the point is inside , then for all ,
[TABLE]
because
[TABLE]
on . So the sum of the first three terms is non-negative if . So we are done because the term and the fourth term are non-negative. If the point is outside , then there exists such that
[TABLE]
and
[TABLE]
on . The only first order term in is
[TABLE]
Since it is positive, for small enough , we also get the required inequality. ∎
Now we pick such that satisfies Lemma 4.3 and
[TABLE]
We apply Theorem 1.11 to the lower dimensional smooth manifold with the Kähler forms and . As in Section 1, there exists a smooth function on a neighborhood of in such that
[TABLE]
satisfies
[TABLE]
near . Similarly, let be the potential near . For large enough constant , define
[TABLE]
and
[TABLE]
Then
[TABLE]
on a neighborhood of in . Since , it is easy to see that
[TABLE]
on . Now we choose neighborhoods and of in such that and . Then as before, for small enough , we can define as the regularized maximum of on and on . Then is smooth and bounded on . Moreover, for
[TABLE]
it is easy to see that
[TABLE]
on because . Now we define
[TABLE]
then by the choice of ,
[TABLE]
on . For large enough constant , define
[TABLE]
then is smooth on and satisfies
[TABLE]
on . We are done.
5 Deformed Hermitian-Yang-Mills Equation
In this section, we prove Theorem 1.7. The equation
[TABLE]
for eigenvalues of with respect to is the same as the equation
[TABLE]
To simplify the notations, define . Then the equation is equivalent to the inequality
[TABLE]
for and the equation
[TABLE]
Inspired by the work of Pingali in the toric case [30], the analogy of Theorem 1.11 is the following:
Theorem 5.1**.**
Fix a Kähler manifold with Kähler metrics and . Let be a constant and be a smooth function satisfying
[TABLE]
then there exists a smooth function satisfying the equation
[TABLE]
and the inequality
[TABLE]
for and eigenvalues of with respect to if there exists a constant and for all -dimensional subvarieties with ( can be chosen as ), there exist smooth functions from to such that for all ,
[TABLE]
When , it is trivial. In higher dimensions, we need to prove it by induction.
Inspired by the work of Collins-Jacob-Yau [12], the analogy of Theorem 1.14 is the following:
Theorem 5.2**.**
Fix a Kähler manifold with Kähler metrics and . Let be a constant and be a smooth function satisfying
[TABLE]
then there exists a smooth function satisfying the equation
[TABLE]
and the inequality
[TABLE]
for and eigenvalues of with respect to if
[TABLE]
for and eigenvalues of with respect to .
We will use the continuity method three times to prove Theorem 5.2. Let be the form and be the function in Theorem 5.2. There exists a constant such that . We start from and . In this case, is the solution. Then we let and be the non-negative constant satisfying the integrability condition as the first path. It will imply the result for . Then we let and be the constant satisfying the integrability condition as the second path. must be non-negative because
[TABLE]
by the assumption on and Lemma 8.2 of [12]. The continuity method will imply the result for when is the non-negative constant satisfying the integrability condition. Finally, we let and be the third continuity path. It will imply Theorem 5.2.
It is easy to see the openness along the paths. Thus, we only need to prove the a priori estimate along the paths. It will be achieved by Székelyhidi’s estimates in [36]. First of all, we need to rewrite the equation.
The equation
[TABLE]
can be written as
[TABLE]
It is equivalent to
[TABLE]
which is the same as
[TABLE]
Let be the region consisting of such that and
[TABLE]
for all , then we want to study the function
[TABLE]
on , where is the closure of . For any Kähler form , we say if the eigenvalues of with respect to is in . Similarly, we define as for eigenvalues of with respect to .
In order to apply Székelyhidi’s estimates in [36], we claim the following:
Proposition 5.3**.**
Assume that . If , then
(1) if ;
(2) if and ;
(3) if and ;
(4) If , then ;
(5) For any , the set
[TABLE]
is bounded.
Proof.
(1)
[TABLE]
Using the definition of , it is easy to see that
[TABLE]
on . So
[TABLE]
It is easy to see that if .
(2)
[TABLE]
The first term is at most . When , the second term equals to . When , it is a non-negative definite matrix. When , for any ,
[TABLE]
Since on , it is easy to see that the second term is at most times the first term. Similarly the third term and the fourth term are also at most times the first term.
(3) It suffices to show that
[TABLE]
is non-positive for all . When , it is trivial. When , it is at most
[TABLE]
This is indeed non-positive because .
(4)The point belongs to and at this point is negative because
[TABLE]
Thus, it suffices to prove that if , then . If , it is obvious. If , then . So because
[TABLE]
(5) is obvious. ∎
Compared to Székelyhidi’s conditions in [36], there are three major differences. First of all, also depends on . Second of all, does not contain the positive orthant. Finally, even if we fix the variable, is only concave when . However, we will show that his works still survive without much changes.
Proposition 5 of [36] only requires the concavity of when . So it still holds. Székelyhidi’s estimate relies on the variant of Alexandroff-Bakelman-Pucci maximum principle similar to Lemma 9.2 of [25]. Clearly it does not take derivatives of . So Székelyhidi’s estimate is still true.
The next step is to prove that
[TABLE]
We will use the same notations as in [36] except that letter in [36] is replaced by , the letter is replaced by and the letter is replaced by . It is easy to see that (78) of [36] still holds. Now we differentiate the equation . We see that
[TABLE]
and
[TABLE]
because . Since , the term is bounded. So the only additional term in (85) of [36] is on the right hand side. Instead of (94) of [36], we get
[TABLE]
Since is bounded, the estimate in (95) still holds. So the only additional term in (99) and (104) of [36] is on the right hand side. The case 1 in [36] will not happen. The additional term in (120) of [36] is also . However, recall that (67) of [36] is that
[TABLE]
(Remark that the letter in [36] is replaced by and the letter is replaced by .) The term was thrown away. However, this term is at least . The term
[TABLE]
is at least . So Székelyhidi’s estimate
[TABLE]
still holds.
Székelyhidi used the property that contains the positive orthant to prove the estimate [36]. We do not have this property. However, we can use Proposition 5.1 of [12] to achieve this.
The Evans-Krylov estimate requires the uniform ellipticity and concavity of . Its relationship with the function was cited as (63) and (64) of [36]. By Proposition 5.3, the conditions for the Evans-Krylov estimate are indeed true. The higher order estimate follows from standard elliptic theories. Finally, will stay in the region along the continuity paths by Proposition 5.3 (4).
The analogy of Theorem 1.18 is the following:
Theorem 5.4**.**
Fix a Kähler manifold with Kähler metrics and . Suppose that for all , there exist a constant and a smooth Kähler form satisfying , and
[TABLE]
Then there exist a constant and a current such that in the sense of current.
The definition of a current being in is similar to Definition 3.3 except that we replace the condition
[TABLE]
by for Kähler form . To simplify notations, for a Kähler form , we define and by
[TABLE]
and
[TABLE]
where are the eigenvalues of with respect to . Then is equivalent to .
The analogy of Lemma 3.5 is the following:
Lemma 5.5**.**
Suppose that
[TABLE]
Then
[TABLE]
Proof.
It is easy to see that . Moreover, for any ,
[TABLE]
so . Therefore, both hand sides of the inequality are well defined.
By restricting on the codimension 1 subspaces, it suffices to prove that
[TABLE]
For any , it is easy to see that
[TABLE]
So we need to compute .
We already know that , so
[TABLE]
Therefore
[TABLE]
The real part is at least and the imaginary part is also at least . So
[TABLE]
if we define as for . In fact, this is true up to an integer times . However, both hand sides are continuous with respect to and this equation holds for . So it holds for all .
Now it suffices to show that
[TABLE]
It follows from the facts that
[TABLE]
and
[TABLE]
∎
Choose large enough such that . The definitions of , and are still the same as in Section 1. As before, there exists such that for small enough, .
Now we consider . By Theorem 5.2, there exists such that and
[TABLE]
Define by
[TABLE]
Fix and let and converge to 0. For small enough , we shall expect to be the weak limit of .
As before, we write as
[TABLE]
and assume that
[TABLE]
and
[TABLE]
at .
To simplify notations, we omit , then
[TABLE]
where equals to
[TABLE]
Remark that
[TABLE]
and
[TABLE]
By Lemma 5.5,
[TABLE]
So by the monotonicity and convexity of ,
[TABLE]
Using the convexity of and the fact that
[TABLE]
it is easy to see that the minimum of
[TABLE]
is achieved if is a constant, which must be . Thus . Back to our original notations, it means that .
The rest part of Section 3 still holds because has no concentration of mass on the diagonal if . Most part of Section 4 also holds because is convex. We only need to prove the following analogy of Lemma 4.3:
Lemma 5.6**.**
Let . Then for all small enough and all -dimensional subvarieties of , as long as ,
[TABLE]
Proof.
We already know that
[TABLE]
So it suffices to show that
[TABLE]
As before, there exists a smooth function on a neighborhood of in such that satisfies on . We define as before on . For any , by our assumption, there exists such that satisfies . Choose small enough such that . Choose a large enough constant . Let be the regularized maximum of and . Then it is easy to see that is smooth and on for . Moreover, there exists a smaller neighborhood of such that on .
After replacing by , it suffices to show that
[TABLE]
First of all,
[TABLE]
using a calculation similar to Lemma 8.2 of [12] because on . If the point is outside , then as before, we get the required inequality if is small enough. If the point is inside , then
[TABLE]
using a calculation similar to Lemma 8.2 of [12] because on . We are done. ∎
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