Valuative invariants with higher moments
Abstract.
In this article we introduce a family of valuative invariants defined in terms of the -th moment of the expected vanishing order. These invariants lie between and -invariants. They vary continuously in the big cone and semi-continuously in families. Most importantly, they give sufficient conditions for K-stability of Fano varieties, which generalizes the and -criterions in the literature. They are also related to the -geometry of maximal geodesic rays.
1. Introduction
1.1. Background
Valuative invariants play significant roles in finding canonical metrics on polarized varieties. A highly notable one is the -invariant that goes back to Tian [38], with the help of which there is now a huge table of Kähler–Einstein Fano varieties that have been discovered by various authors. Another remarkable invariant is the -invariant that was recently introduced by Fujita-Odaka [24], which turns out to be a very powerful new tool in the study of K-stability of Fano varieties and now there is a large literature on it; see especially the work of Blum–Jonsson [3] and the references therein. The purpose of this article is to further polish the pertinent field by introducing a family of valuative invariants that interpolates betweent and . As we shall see, these invariants enjoy many properties that were previously only established for and . Our work suggests that the study of valuative invariants can be carried out in a broader context and hopefully this will serve as a new perspective in future research.
To begin with, we first recall the definition of . Let be an -dimensional complex normal projective variety with at worst klt singularities and is an ample line bundle. Up to a multiple of , we assume throughout that for any . Put
Consider a basis of the vector space , which induces an effective -divisor
Any -divisor obtained in this way is called an -basis type divisor of . Let
Then let
This limsup is in fact a limit by [3]. So roughly speaking, measures the singularities of basis type divisors of .
The following result demonstrates the importance of the -invariant.
1.2. Valuative characterization
Let be a proper birational morphism from a normal variety to and let be a prime divisor in . Such an will be called a divisor over . Let
denote the expected vanishing order of along at level . Here
denotes the pseudo-effective threshold of along at level . Then a basic but important linear algebra lemma due to Fujita–Odaka [24] says that
and this supremum is attained by any -basis divisor arising from a basis that is compatible with the filtration
meaning that each is spanned by a subset of the . Then it is easy to deduce that
As , one has
which is called the expected vanishing order of along . Then Blum–Jonsson [3] further show that the limit of also exists, and is equal to
Another closely related valuative invariant is Tian’s -invariant [38], which can be defined as (cf. [10, Appendix] and [3, Theorem C])
where , the pseudo-effective threshold of along .
An important property of is illustrated by the following result of K. Fujita, who shows that can be viewed as the coordinate of the barycenter of certain Newton–Okounkov body along the “-axis”, and hence the well-known Brunn–Minkovski inequality in convex geometry implies the following estimate.
Proposition 1.2 (Barycenter inequality in [22]).
For any over , one has
1.3. Valuative invariants with higher moments, and the main results
can be treated as the first moment of the vanishing order of along . In general for , one can also consider the -th moment of the vanishing order of along . More precisely, given a basis of that is compatible with the filtration induced by , put
In the K-stability literature, related notions (for test configurations) have been introduced and studied by Donaldson [18], Dervan [16], Hismoto [27] et. al. Our formulation of is inspired by the recent work of Han-Li [25], where a sequence of Monge–Ampère energies with higher moments was considered. We will give a more formal definition of this in Section 2. As , one has (see Lemma 2.2)
So in particular One main point of this article is to show that most properties established for in the literature hold for as well; see Section 2 for more details.
Extending Fujita’s barycenter inequality to the -th moment, we have
Theorem 1.3.
Given any divisor over , one has
Here is the gamma function.
Letting , one obtains the following
Corollary 1.4.
One has
Relating to the -geometry of maximal geodesic rays, has the following pluri-potential interpretation (in Section 6 we will prove a more general result that holds for linearly bounded filtrations). The proof relies on the main result in [27] and some non-Archimedean ingredients from [7, 8, 9].
Theorem 1.5.
The set of moments can also be used to construct various kinds of valuative thresholds for . It turns out that and are only two special ones. To be more precise, one can put
As we shall see in Proposition 4.4, here one can also take inf over all valuations, which yields the same invariant.
It is interesting to note that is a decreasing family of valuative invariants with
Moreover, observe that the valuative formulation of also makes sense when is merely a big -line bundle. We show that the continuity of established in [42] holds for as well.
Theorem 1.6.
is a continuous function on the big cone.
Furthermore, we have the following result, generalizing the work of Blum-Liu [4].
Theorem 1.7.
Let is a projective family of varieties and is a -ample Cartier divisor on . Assume that is normal, is klt for all and is -Cartier. Then the function
is lower semi-continuous.
And also, in the Fano setting, it turns out that can give sufficient conditions for K-stability.
Theorem 1.8.
Let be a -Fano variety of dimension . If
then is uniformly K-stable and hence admits a Kähler–Einstien metric.
For this is simply the -criterion of Fujita-Odaka [24] (which says that implies uniform K-stability), while for this recovers the -criterion of Tian [38] and Odaka–Sano [32] (which says that implies uniform K-stability). Thus Theorem 1.8 provides a bridge between and -invariants and gives rise to a family of valuative criterions for the existence of Kähler–Einstein metrics.
To show Theorem 1.8, the key new ingredient is the following monotonicity:
This is deduced from Proposition 5.2, which relies on the Brunn–Minkowski inequality and yields a new result in convex geometry regarding the -th barycenter of a convex body that is probably of independent interest.
Interestingly, the above monotonicity is actually “sharp”, from which we can characterize the borderline case in Theorem 1.8.
Theorem 1.9.
If an -dimensional Fano manifold X satisfies that
for some . Then either or is K-stable. In particular, X admits a Kähler-Einstein metric.
When this is exactly the main theorem of Fujita [21] (which says that implies KE when is smooth). The proof of Theorem 1.9 uses the strategy of [21], but one major difference is that the equality in our case is more difficult to grasp, which requires some subtle measure-theoretic argument.
Organization. The rest of this article is organized as follows. In Section 2 we introduce in a more formal way, using filtrations. In Section 3 we prove Theorem 1.6 and in Section 4 we prove Theorem 1.7. Then Theorem 1.3, Theorem 1.8 and Theorem 1.9 are proved in Section 5. Finally in Section 6 we discuss the relation between and -geometry and then prove a generalized version of Theorem 1.5.
Acknowledgments. The author would like to thank Tamás Darvas and Mingchen Xia for helpful discussions on Section 6. Special thanks go to Yuchen Liu for valuable comments and for proving Proposition 4.4. He also thanks Yanir Rubinstein for suggesting Theorem 1.9. The author is supported by the China post-doctoral grant BX20190014.
2. Expected vanishing order with higher moments
Let be a klt projective variety and an ample line bundle on . Also fix some .
2.1. Divisorial valuations
The next definition is a natural generalization of the expected vanishing order introduced in [24, 3].
Definition 2.1.
Let . Given any prime divisor over , the -th moment of the expected vanishing order of along at level is given by
We also put
which is called -th moment of the expected vanishing order of along .
This definition can be reformulated as follows (which in turn justifies the existence of the above limit).
Lemma 2.2.
Given any prime divisor , one has
and
Proof.
For the first statement, we follow the proof of [24, Lemma 2.2]. Given a basis of , for integer , let be the number of sections of that are contained in the subspace when pulled back to . Then one has
The equality is achieved exactly when is compatible with the filtration .
The second statement then follows from the theory of filtrated graded linear series and Newton–Okounkov bodies; see e.g. the proof of [11, Lemma 2.7] for an exposition. ∎
Remark 2.3.
Very recently, using , Han–Li [25] constructed a non-Archimedean analogue of the -functional of the Kähler–Ricci flow, which were previously studied by Tian–Zhang–Zhang–Zhu [39], He [26] and Dervan–Székelyhidi [17]. More precisely, consider
Then Han–Li defined
As shown by Han–Li [25], this invariant plays significant roles in the study of the Hamilton–Tian conjecture just as the -invariant in the Yau–Tian–Donaldson conjecture.
2.2. Filtrations
For simplicity we put
with We say is a filtration of if for any and there is a subspace satisfying
-
(1)
for any ;
-
(2)
;
-
(3)
for any and ;
-
(4)
for and for .
We say is linearly bounded if there exists such that for any . We say is a filtration of if only items and are satisfied. We call trivial if for any .
Following [3], the definition of also extends to filtrations of . More precisely, let be a filtration of , the jumping numbers of are given by
where
(2.1) |
Then we put (see also [25, (81)])
Thus is the rescaled sum of jumping numbers studied in [3].
A filtration is called an -filtration if all its jumping numbers are non-negative integers. For instance the filtration induced by a divisor over is -filtration. Given any filtration of , its induced -filtration is given by
(2.2) |
Then one has
The next result is a simple generalization of [3, Proposition 2.11]
Proposition 2.4.
If is a filtration on , then
Proof.
This follows from the elementary inequality:
∎
Now as in [3, Section 2.2] let us fix a local system around a regular closed point of , which then yields a Newton–Okounkov body for and denote the Lebesgue measure on by . Then any filtration of induces a family of graded linear series () and also a concave function on . More precisely, with
which induces a Newton–Okounkov body and
Then define
and also put
One then can deduce that
This generalizes [3, Lemma 2.6] (see also the proof of Theorem 1.3). A simple consequence is that
The next result naturally generalizes Lemma 2.9, Corollary 2.10 and Proposition 2.11 in [3]. Since its proof is largely verbatim, we omit it.
Proposition 2.5.
The following statements hold.
-
(1)
One has
-
(2)
For every there exists such that
for any and any linearly bounded filtration on .
-
(3)
If is a filtration on , then .
Let be the set of real valuations on the function field of that are trivial on the ground field . Any induces a filtration on via
for and . Then put
Note that is saturated in the sense of [20, Definition 4.4]. To be more precise, let
be the base ideal of . Let denote its integral closure (i.e., is the set of elements satisfying a monic equation with ).
Lemma 2.6.
For any and , one has
Proof.
Put It is easy to see that is integrally closed, i.e., . Moreover by definition,
Thus
So we conclude. ∎
For and , set
The previous lemma implies that is a subalgebra of . Put
As illustrated in [3, Section 5], the graded linear series can effectively approximate . The argument therein extends to our setting in a straightforward way. So we record the following result, which generalizes [3, Theorem 5.3], and leave its proof to the interested reader.
Theorem 2.7.
Let be a normal projective klt variety and an ample line bundle on . Then there exists a constant such that
for all and all with
3. Continuity in the big cone
In this section we assume that is a klt projective variety and a big -line bundle on (we refer to [28] for the positivity notions of line bundles). As before, fix some . Recall that its -invariant is given by
where runs through all the prime divisors over . The goal is to show Theorem 1.6. The proof is a slightly modified version of the one in [42, Section 4]. For the reader’s convenience we give the details.
Lemma 3.1.
There exists only depending and such that the following holds. Given any big -line bundle any , assume that there is a big -line bundle such that
we have
Proof.
We only prove , since the other part follows in a similar manner. Let be any prime divisor over . It suffices to show
To this end, we calculate as follows:
By choosing small enough we can arrange that
This completes the proof. ∎
Proof of Theorem 1.6.
Let be a big -line bundle. Fix any auxiliary -line bundle . We need to show that, for any small , there exists such that
Here is always assumed to be big (by choosing sufficiently small). Notice that for any , we can write
Put
Then by choosing small enough, we can assume that
So from the scaling property (easy to verify from the definition):
and Lemma 3.1, it follows that
We can also write
Then a similar treatment as above yields
In conclusion, for any small , by choosing to be sufficiently small, we have
This completes the proof. ∎
Remark 3.2.
Actually there is a more elegant proof of Theorem 1.6 using the following argument provided by an anonymous referee: consider
Observe that satisfies:
-
(1)
for any effective divisor , one has since for any over and any ;
-
(2)
for any one has .
It is a well-known fact that these properties imply the continuity of (the previous proof of Theorem 1.6 is actually a variant of this fact). Now since both and are continuous, so is .
4. Semi-continuity in families
In this section we prove Theorem 1.7. Let be a polarized klt pair. We set
(4.1) |
where runs through all the valuations with .
By [3, Theorem C], for and , the main reason being that both and -invariants can be defined in terms of the log canonical threshold of certain divisors. However to show that holds for general is more tricky; see Proposition 4.4. Leaving this issue aside for the moment, we show that the semi-continuity established by Blum–Liu [4, Theorem B] holds for as well.
Theorem 4.1.
Let is a projective family of varieties and is a -ample Cartier divisor on . Assume that is normal, is klt for all and is -Cartier. Then the function
is lower semi-continuous.
In what follows we give a sketched proof. To justify that the argument in [4] honestly extends to our setting, we need to spell out the main ingredients used in their proof. First of all, generalizing [4, Proposition 4.10], it is straightforward to obtain that
where runs through all non-trivial linearly bounded filtrations of and denote the graded ideal associated to (cf. [3, Section 3.6]). Second, we need to introduce a quantized version of by putting
where runs through all the valuations with . Then by Proposition 2.5, we have (as in [3, Theorem 4.4])
(4.2) |
Meanwhile, we also need
where runs through all non-trivial -filtration of with and denote the filtration of generated by (cf. [4, Definition 3.18]). Then combining Proposition 2.4 with the argument of [4, Proposition 4.17], we derive that
(4.3) |
Now proceeding as in [4], to conclude Theorem 4.1, it suffices to establish the following two results, which extend Theorem 5.2 and Proposition 6.4 in [4].
Theorem 4.2.
Let be a projective -Gorenstein family of klt projective varieties over a normal base and a -ample Cartier divisor on . For each there exits a positive integer such that
for all positive integer divisible by and .
Proposition 4.3.
Let be a projective -Gorenstein family of klt projective varieties over a normal base and a -ample Cartier divisor on . For , the function is lower semi-continuous and takes finitely many values.
To show Theorem 4.2, an intermediate step is to prove (cf. also [4, Proposition 5.16])
By the strategy of [4], this can be derived from
which can be proved by generalizing the argument of [4, Theorem 5.13] to our setting (here we need to use Theorem 2.7). Then using (4.3), we conclude Theorem 4.2.
The proof of Proposition 4.3 is a verbatim generalization of [4, Propositon 6.4] so we omit it. Thus by [4, Proposition 6.1] we finish the proof of Theorem 4.1.
Finally, to finish the proof of Theorem 1.7, it suffices to show the following result. The author is grateful to Yuchen Liu for providing the proof.
Proposition 4.4.
One has
Proof.
Remark 4.5.
Arguing as in [3, Section 6], one can also show that there is always a valuation computing when is ample. Moreover, as in [3, Proposition 4.8], is the unique valuation (up to scaling) computing . Then by [41], is actually quasi-monomial (the author is grateful to one anonymous referee for providing this argument).
5. Barycenter inequalities
Let be a polarized pair. We prove Theorem 1.3, Theorem 1.8 and Theorem 1.9 in this section. To show Theorem 1.3, the main ingredient is the Brunn–Minkowski inequality for Newton–Okoukov bodies (cf. [29, 19]). While for Theorems 1.8 and 1.9, we also need some measure-theoretic argument from real analysis.
Proof of Theorem 1.3.
We follow the argument in [22]. To obtain the lower bound for , we use the fact that is a decreasing concave function (cf. [29, Corollary 4.12]), so that
and hence
To show the upper bound for , we assume (the case of is trivial). We use the argument of [22, Proposition 2.1], which shows that there exists a non-negative concave function for such that
Thus 111This suggests that can be treated as the -th barycenter of a convex body along -axis.
For simplicity set . Note that for . Then and by the concavity of , we have
Thus we have
which implies that
as desired. ∎
An immediate consequence is the following, which generalizes (1.1).
Corollary 5.1.
One has
Now we turn to the proof of Theorem 1.8. The key point is the following monotonicity.
Proposition 5.2.
Let be any prime divisor over . Set
Then is non-decreasing in .
Proof.
When , is a constant, so there is nothing to prove. Then as in the previous proof, we assume and write
for some non-negative concave function defined on . For simplicity set . Then it amounts to proving that
is non-decreasing in for any non-negative concave function defined on with the normalization condition
To this end, we introduce an auxiliary function:
By concavity of , For , we put
Then one has (using )
To show this is non-decreasing in , it then suffices to show that
To see this, for each small , using integration by parts for Lebesgue–Stieltjes integration, we have
Here we used the fact that, as a monotonic function, has bounded variation on and hence the measure is well-defined on . Now observing
we derive that for ,
where is understood as a measure on . Set
Now applying Hölder’s inequality to the measure space , we derive that
(5.1) |
which reads
This implies that
so that is log convex, as desired. ∎
Remark 5.3.
We also believe that
However it seems to the author that the proof of this is much more difficult, which may involve the log concavity of the generalized beta function. If this is indeed true, it then follows that
which hence generalizes the inequality . Meanwhile it will also follow that is continuous in . We leave this problem to the interested readers.
Proof of Theorem 1.8.
Finally, we prove Theorem 1.9. This boils down to a carefully analysis on the equality case in the proof Proposition 5.2.
Proof of Theorem 1.9.
The case of is exactly [21, Theorem 1.2]. So we assume . We follow the strategy of Fujita [21]. Note that clearly satisfies the claimed statement, so assume that and that is not K-stable with . Then by [23, Theorem 1.6] there exists a dreamy divisor over such that
Moreover this has to achieve the equality in (5.2), namely
Using the notion in the proof of Proposition 5.2, this reads
Namely,
By the log convexity of , this forces that
In particular
This further forces that
In particular, the Hölder inequality (5.1) is an equality, which implies that there exist real numbers , not both of them zero, such that
where is a subset satisfying
This implies that is a zero measure away from finitely many points in . Therefore
Now recall that is concave and hence continuous on . Thus
The normalization condition further implies that
Thus
Then by [21, Theorem 4.1], . Now let be a hyperplane in , straightforward calculation then yields
This will give us a contradiction. Indeed, consider the function
Observe that
Moreover, for ,
Here we used . Thus
since we assumed . From this we derive that (recall )
which is a contradiction. So we conclude. ∎
6. Relating to the -geometry of maximal geodesic rays
We prove Theorem 1.5 in this section. In fact we will carry out the discussion in a more general fashion using filtrations instead of divisorial valuations.
Our setup is as follows. Let be a polarized Kähler manifold. We fix a smooth Hermitian metric on such that defines a Kähler form (here ). As before put with Let be a linearly bounded filtration of . Then will induce a test curve, or equivalently (by Legendre transform), a maximal geodesic ray in the space of pluri-subharmonic potentials (see [35, 15] for a detailed discussion). These objects play crucial roles in the study of the Yau–Tian–Donaldson conjecture (cf. e.g. [2, 30]).
Definition 6.1.
[35, Section 7] For any and , put
and
where denotes the upper semi-continuous regularization. We call the test curve induced by .
Note that is non-increasing and concave in (since is decreasing and multiplicative).
Theorem 6.2.
[35, Corollary 7.12] Consider the Legendre transform
(6.1) |
Then is a weak geodesic ray emanating from .
By weak geodesic we mean that satisfies certain homogeneous Monge–Ampère equation in a weak sense (cf. [35]). Note that is in fact maximal in the sense of [2, Definition 6.5] (see [2, Example 6.9]), so we also call the maximal geodesic ray induced by . Recently it is shown by Darvas–Xia [15, Proposition 3.6] that the upper semi-continuous regularization in (6.1) is unnecessary. A priori, the regularity of could be rather weak. But when is a filtration induced by an test configuration (in the sense of [40]), has regularity in and variables by [35, Theorem 9.2] and [12, Theorem 1.2] (see also [34, Theorem 1.3]).
Remark 6.3.
When for some , we put . When for some prime divisor over , we also write . This explains the notation in Theorem 1.5.
An equivalent way of producing the geodesic ray is by quantization approach. More precisely, for , let be the set of jumping numbers of (recall (2.1)). Now consider the Hermitian inner product
on . By elementary linear algebra one can find an -orthonormal basis of such that
Now set
One can easily verify that does not depend on the choice of . We call the Bergman geodesic ray induced by . Such geodesic ray goes back to the work of Phong–Sturm [33] and is used to construct geodesic rays in the space of Kähler potentials by approximation. The above Bergman geodesic ray has also been utilized in the recent work [36] to study quantized -invariants.
Theorem 6.4.
[35, Theorem 9.2] One has
We remark that although [35, Theorem 9.2] is only stated for filtrations that are induced from test configurations, one can easily verify that the argument therein works for general filtrations.
The next standard result shows that has linear growth.
Lemma 6.5.
One has
Proof.
We clearly have
Meanwhile, the standard Tian–Yau–Zelditch expansion implies that
So the assertion follows from the previous theorem. ∎
Lemma 6.6.
One has
Proof.
Recall (2.2) that is the -filtration induced by . The jumping numbers of are given by . Let as above be an -orthonormal basis such that for any . Then observe that
So is also compatible with and we have
Then clearly
So the assertion follows from the previous theorem. ∎
The main contribution of this section is the following result, which includes Theorem 1.5 as a special case.
Theorem 6.7.
For any linearly bounded filtration one has
where denotes the Finsler metric introduced by Darvas (see (6.4)).
The proof will be divided into several steps. Firstly, by Proposition 2.5 and Lemma 6.6, we may assume without loss of generality that is an -filtration. Then we will prove Theorem 6.7 under the additional assumption that
As we have mentioned, this regularity assumption automatically holds when is induced by a test configuration, in which case is a finitely generated -filtrations (see [7, Section 2.5]). We will eventually drop this assumption as any linearly bounded -filtration can be approximated by a sequence of finitely generated -filtrations in a suitable sense.
Note that the time derivative is well-defined for any point and when is .
Lemma 6.8.
Assume that has regularity. Then for each point and , .
Proof.
The non-negativity of makes it convenient to consider the following Finsler speed of the geodesic; see the survey of Darvas [13] for more information on this subject. When is , set for
(6.3) |
Here and is understood as the non-pluripolar Monge–Ampère measure defined in [6]. Since has linear growth, also coincides with the classical definition of Bedford–Taylor [1]. As shown in [13], (6.3) is independent of . The -distance from to is then given by
(6.4) |
When lacks regularity, one can still make sense of by using decreasing sequence that converges to ; see [13] for detail.
Proposition 6.9.
Assume that has regularity then one has
Proof.
We recall the main result of Hisamoto [27], who dealt with filtrations that are induced from test configurations. But note that his argument also works for general filtrations that give rise to geodesic rays, from which we deduce that for each
as measures on ; here recall that is the set of jumping numbers of . Thus we obtain that
This completes the proof. ∎
Thus we have shown Theorem 6.7 under the assumption that has regularity. Now we show how to drop this assumption by a standard approximation procedure.
Lemma 6.10.
Let be a linearly bounded filtration of . Let be a sequence of filtrations of that satisfies
-
(1)
for any and .
-
(2)
for any and .
Then it holds that
Proof.
Now given any linearly bounded -filtration of , one can construct a sequence of finitely generated -filtrations that “converges” to as follows (see also [37, 4]). For each , is given by:
-
(1)
For ,
-
(2)
For ,
-
(3)
For and ,
where the sum runs through all such that and .
Then is a sequence of finitely generated -filtrations of that satisfies the conditions in Lemma 6.10. So we have
Moreover, is induced by test configurations (see [7, Section 2.5]) since each is finitely generated, and hence the associated maximal geodesic ray has regularity (see [34, 12]). So Proposition 6.9 yields
Then to finish the proof of Theorem 6.7, it remains to show the following
Proposition 6.11.
There exists a subsequence such that for any and ,
Proof.
We need some ingredients and terminologies from the non-Archimedean approach developed in [2, 7, 8, 9]. We refer the reader to loc. cit. for more details.
Let be the Fubini–Study map defined in [8]. Set
where denotes the graded norm associated to and the graded norm associated to (cf. [8, Section 3]). Then and are functions on the Berkovich space . Moreover it follows from the construction that is an increasing net converging to (in the sense of [8]). So by [9, Theorem 6.11] one has
where denote the non-Archimedean Monge–Ampère functional defined in [7, Section 7]. Note that by [2, Theorem 6.6 and Example 6.9], is the unique maximal geodesic ray emanating from that is associated to and likewise for each , is the unique maximal geodesic ray emanating from that is associated to . Moreover by [2, Definition 6.5], forms an increasing net. Now we show that there is an increasing subsequence converging pointwise to for each . To see this, we extract an increasing subsequence and put
So in particular,
Observe that by Lemma 6.5 and [13, Lemma 3.28], is an increasing -bounded sequence for any fixed and . So by [13, Lemma 3.34] we have . Meanwhile, applying [2, Corollary 6.7] we find that
where denotes the classical Monge–Ampère functional (see (6.6)). So by [13, Corollary 3.39] this forces that
and hence (by [13, Proposition 3.43]) . Then from [13, Proposition 3.27] we deduce that
Thus for any , as ,
Finally by [13, Lemma 4.34] again, we conclude that
as desired. ∎
So the proof of Theorem 6.7 is complete.
Take , then Theorem 6.7 immediately implies (this should be well-known to experts):
(6.5) |
where is the Monge–Ampère functional defined by
(6.6) |
This functional is known to be linear along .
Now assume that is a prime divisor over . Combining Proposition 5.2 with Theorem 6.7 we conclude that
It would be interesting to know if this holds for geodeisc rays induced by general valuations. But it is easy to see that this monotonicity is in general not valid for geodesic rays induced by filtrations. For instance consider for some constant , which is induced by the shifted trivial filtration: for and for . Then clearly violates the above monotonicity. So geodesic rays constructed from valuative data typically enjoy additional properties. See also [15] for related discussions in this direction.
Remark 6.12.
As studied by Darvas–Lu [14], the -distance between two geodesic rays yields rich information in Mabuchi geometry. In our context, we may consider two linearly bounded filtrations of , say and , then it is expected that
(6.7) |
Here denotes the -distance between filtrations (see [5] for the definition.). When is trivial, (6.7) reduces to Theorem 6.7. However, proving (6.7) in full generality seems to be a difficult problem.
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