8. The Monge-Ampère equation [01BX]
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8. The Monge-Ampère equation
In this section we prove
Theorem 8.1.
Let us explain how to deduce Theorems A and A’ from the introduction. Let be any closed semipositive form with ample, and be a positive Radon measure of mass . Set , and . Assume that is algebraizable. It follows from Appendix A that and satisfy the orthogonality property. Applying Theorem 8.1 to and yields a unique such that and . Theorem A’ follows since with .
Now consider an ample line bundle endowed with a semipositive model metric . The curvature form is semipositive and in view of Proposition 2.19 and (2.1). Given any positive Radon measure of mass and supported on the dual complex of some SNC model of , Theorem A’ thus implies the existence of a unique continuous -psh function such that , and . This statement implies Theorem A since by definition.
For the rest of this section is a form as in §4 normalized by
8.1. Uniqueness
The uniqueness statement in Theorem 8.1 does not require the orthogonality property. Following [Bło03] as in [GZ07, YZ10], one actually proves:
Proposition 8.2.
Let be any semipositive closed form. Suppose for any two functions . Then is constant.
Proof.
For simplicity we write .
First we briefly indicate how to extend to -psh of finite energy the calculus that we developed in §3. Let . Since is convex, for any . For any , define to be the unique probability measure such that
| (8.1) |
for any with . By Proposition 6.9, we get for any decreasing sequence of -psh functions and . In particular, is a probability measure. Replacing by in (8.1), we can further define probability measures of the same mass as soon as and .
Observe that by definition and Lemma 6.10, these measures integrate -psh functions of finite energy. By continuity, it also follows that the Cauchy-Schwarz inequality holds
for any lying in the vector space generated by and for any a positive linear combination of measures of the type with and .
Now pick . We claim that
| (8.2) |
for some constant depending on and .
Grant this claim, and suppose . We conclude the proof as in [YZ10]. We may assume . By Cauchy-Schwarz inequality, for any model function we get
with . Let be any -line bundle in a model whose numerical class is equal to . The above equality applied to the model function determined in by with yields
which in turn implies to be proportional to by [YZ10, Theorem 2.1.1(b)]. Since we normalized by , we conclude that on the vertices of .
Now consider any (sufficiently) high model . By [BFJ11, Proposition 5.2] there exists a model function such that is induced by a ample divisor in . Then the functions and are both -psh, normalized by , and satisfy . By what precedes we get on the vertices of . This implies on , hence on by Proposition 2.8, hence on since for any -psh function by [BFJ11, Proposition 7.6].
We now prove the claim. For this we reproduce the argument of [Bło03]. By we will denote possibly different constants depending on . Set . For we will prove inductively that
where
with , and are such that . For we will then obtain the desired estimate.
If , then
Assume that (3.1) holds for . We have
where
Therefore
This means that
We have
If is equal to or , the Cauchy-Schwarz inequality gives
By the inductive assumption, we have , and since we get . The proof is complete. ∎
8.2. Existence
As in [BBGZ09], the strategy is to first use a variational argument going back to Alexandrov [Ale38] in order to produce a solution .
Consider the functional defined by
| (8.3) |
We first claim that is usc on . By Proposition 6.2, is usc so that it is sufficient to prove is continuous on . Pick a net in , i.e. for any . Since divisorial points are dense in by [JM10], and the family is equicontinuous by Theorem 2.9, it follows that uniformly. Whence since contains the support of by assumption.
Now write , and observe that for any constant by Proposition 6.2, so that . Since is usc, and is compact by Theorem 2.10, it actually attains its maximum. We can thus find such that
Clearly , so . Let us show that . Pick any model function on . For , consider the function
In view of Corollary 7.3, is differentiable at with derivative
But since , it follows that for all . Thus has a local maximum at , so , that is . This implies , as was an arbitrary model function.
8.3. Continuity
Finally we show that is continuous. For this we use capacity estimates in the spirit of Kołodziej [Koł98, Koł03]; see also [EGZ09]. The following result (and its proof) is a translation of [EGZ09, Lemma 2.3].
Lemma 8.3.
Let with . Then
for .
Proof.
As a consequence, we get the following version of the ’domination principle’, sufficient for our purpose.
Lemma 8.4.
Let and . Assume that is supported in the dual complex of some SNC model , and that -a.e. Then on .
Proof.
Now let be a solution to , with supported in a dual complex . We may normalize by . Let be a decreasing net of -psh model functions converging to . We are going to show that uniformly on , which will in particular imply that is continuous.
8.4. An alternative approach
We now give a more explicit description of the solution to , when is a finite sum of Dirac masses at divisorial points. Let be a form as in §4 (not necessarily normalized), and assume that satisfies the orthogonality property.
Lemma 8.5.
Let be a finite set of divisorial points, and set for
| (8.4) |
Then is a continuous -psh function, and is supported in .
Proof.
Let be an SNC model such that all appear as vertices of . By Theorem 2.10 there exists a constant such that for all such that . Since adding a constant to the only replaces with , we may thus assume and as soon as satisfies . Now let be the unique function that is linear on the faces of , takes value at for each , at any other vertex of , and such that . Since each is convex on the faces of and satisfies , we have for all iff , hence . This already shows that is continuous and -psh, and the orthogonality property further shows that is supported in for each SNC model as above. We thus see that .
We claim that the latter intersection is in fact equal to , which will conclude the proof of the lemma. For each model and each we may consider the center (or reduction) . Let be the component of with generic point , and let be the model function determined by . For each we have , hence
∎
As a consequence of this result, for any divisorial point then
| (8.5) |
solves , since the two measures have the same mass. More generally we have:
Proposition 8.6.
Let be a finite set of divisorial points and let be a positive Radon measure of mass with support contained in . Then there exists such that the function defined by (8.4) solves .
Proof.
Remark 8.7.
Consider the setting of Theorem A, i.e. is the class of an (ample) line bundle on . The strategy proposed in the preliminary work [KT00] to solve Monge-Ampère equations mostly deals with the case of a Dirac mass at a divisorial point . The authors introduce the envelope (8.5), and assume by contradiction that is not supported at . They define a limit functional obtained by looking at the asymptotics of ball volumes in the space of sections of as , and indicate that should satisfy for each . Comparing with [BB10] in the complex case, is likely to coincide with , so that a version of the differentiability property (Theorem 7.2) would also be a key ingredient in the approach proposed in [KT00].
Remark 8.8.
We do not know whether the function in (8.5) is necessarily a model function. This is the case on a toric variety, see Proposition 9.1 below, but we suspect the answer is no in general.
Pick an SNC model , an extension of , let be the curvature form of the model metric defined by . Let also be a component of corresponding to the divisorial point . We have up to a constant. On the other hand, by [BFJ11, Theorem 8.5],
where denotes the base-ideal of with . As a consequence, is indeed a model function as soon as the graded -algebra is finitely generated. Building on Nakayama’s counterexample to the existence of Zariski decompositions [Nak04], it is reasonable to expect this algebra not to be finitely generated in general, and to subsequently prove that is not a model function.