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Valuative invariants with higher moments

Kewei Zhang Laboratory of Mathematics and Complex Systems, School of Mathematical Sciences, Beijing Normal University, Beijing, 100875, China. [email protected]
Abstract.

In this article we introduce a family of valuative invariants defined in terms of the pp-th moment of the expected vanishing order. These invariants lie between α\alpha and δ\delta-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 α\alpha and δ\delta-criterions in the literature. They are also related to the dpd_{p}-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 α\alpha-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 δ\delta-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 α\alpha and δ\delta. As we shall see, these invariants enjoy many properties that were previously only established for α\alpha and δ\delta. 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 δ\delta. Let XX be an nn-dimensional complex normal projective variety with at worst klt singularities and LL is an ample line bundle. Up to a multiple of LL, we assume throughout that H0(X,mL)0H^{0}(X,mL)\neq 0 for any m>0m\in{\mathbb{Z}}_{>0}. Put

dm:=h0(X,mL),m.d_{m}:=h^{0}(X,mL),\ m\in{\mathbb{N}}.

Consider a basis s1,,sdms_{1},\cdots,s_{d_{m}} of the vector space H0(X,mL)H^{0}(X,mL), which induces an effective \mathbb{Q}-divisor

D:=1mdmi=1dm{si=0}L.D:=\frac{1}{md_{m}}\sum_{i=1}^{d_{m}}\big{\{}s_{i}=0\big{\}}\sim_{\mathbb{Q}}L.

Any \mathbb{Q}-divisor DD obtained in this way is called an mm-basis type divisor of LL. Let

δm(L):=inf{lct(X,D)|D is m-basis type of L}.\delta_{m}\big{(}L\big{)}:=\inf\bigg{\{}\mathrm{lct}(X,D)\bigg{|}D\text{ is $m$-basis type of }L\bigg{\}}.

Then let

δ(L)=lim supmδm(L).\delta(L)=\limsup_{m\rightarrow\infty}\delta_{m}(L).

This limsup is in fact a limit by [3]. So roughly speaking, δ(X,L)\delta(X,L) measures the singularities of basis type divisors of LL.

The following result demonstrates the importance of the δ\delta-invariant.

Theorem 1.1 ([24, 3]).

Let XX be a \mathbb{Q}-Fano variety. The following assertions hold:

  1. (1)

    XX is KK-semistable if and only if δ(KX)1\delta(-K_{X})\geqslant 1;

  2. (2)

    XX is uniformly KK-stable if and only if δ(KX)>1\delta(-K_{X})>1.

Thus by [2, 31], δ\delta-invariant serves as a criterion for the existence of KE metrics on \mathbb{Q}-Fano varieties.

1.2. Valuative characterization

Let π:YX\pi:Y\rightarrow X be a proper birational morphism from a normal variety YY to XX and let FYF\subset Y be a prime divisor FF in YY. Such an FF will be called a divisor over XX. Let

Sm(L,F):=1mdmj=1τm(L,F)dimH0(Y,mπLjF)S_{m}(L,F):=\frac{1}{md_{m}}\sum_{j=1}^{\tau_{m}(L,F)}\dim H^{0}(Y,m\pi^{*}L-jF)

denote the expected vanishing order of LL along FF at level mm. Here

τm(L,F):=sup0sH0(X,mL)ordF(s)\tau_{m}(L,F):=\sup_{0\neq s\in H^{0}(X,mL)}\mathrm{ord}_{F}(s)

denotes the pseudo-effective threshold of LL along FF at level mm. Then a basic but important linear algebra lemma due to Fujita–Odaka [24] says that

Sm(L,F)=sup{ordF(D)|m-basis divisor D of L},S_{m}(L,F)=\sup\bigg{\{}\mathrm{ord}_{F}(D)\,\bigg{|}\,m\text{-basis divisor $D$ of }L\bigg{\}},

and this supremum is attained by any mm-basis divisor DD arising from a basis {si}\{s_{i}\} that is compatible with the filtration

H0(Y,mπL)H0(Y,mπLF)H0(Y,mπL(τm(L,F)+1)F)={0},H^{0}\big{(}Y,m\pi^{*}L\big{)}\supset H^{0}\big{(}Y,m\pi^{*}L-F\big{)}\supset\cdots\supset H^{0}\big{(}Y,m\pi^{*}L-(\tau_{m}(L,F)+1)F\big{)}=\{0\},

meaning that each H0(Y,mπLjF)H^{0}(Y,m\pi^{*}L-jF) is spanned by a subset of the {si}i=1dm\{s_{i}\}_{i=1}^{d_{m}}. Then it is easy to deduce that

δm(L)=infFAX(F)Sm(L,F).\delta_{m}(L)=\inf_{F}\frac{A_{X}(F)}{S_{m}(L,F)}.

As mm\rightarrow\infty, one has

S(L,F):=limmSm(L,F)=1vol(L)0τ(L,F)vol(πLxF)𝑑x,S(L,F):=\lim_{m\rightarrow\infty}S_{m}(L,F)=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}\operatorname{vol}(\pi^{*}L-xF)dx,

which is called the expected vanishing order of LL along FF. Then Blum–Jonsson [3] further show that the limit of δm(X,L)\delta_{m}(X,L) also exists, and is equal to

δ(L)=infFAX(F)S(L,F).\delta(L)=\inf_{F}\frac{A_{X}(F)}{S(L,F)}.

Another closely related valuative invariant is Tian’s α\alpha-invariant [38], which can be defined as (cf. [10, Appendix] and [3, Theorem C])

α(L):=infFAX(F)τ(L,F),\alpha(L):=\inf_{F}\frac{A_{X}(F)}{\tau(L,F)},

where τ(L,F):=limτm(L,F)/m\tau(L,F):=\lim\tau_{m}(L,F)/m, the pseudo-effective threshold of LL along FF.

An important property of S(L,F)S(L,F) is illustrated by the following result of K. Fujita, who shows that S(L,F)S(L,F) can be viewed as the coordinate of the barycenter of certain Newton–Okounkov body along the “FF-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 FF over XX, one has

τ(L,F)n+1S(L,F)nτ(L,F)n+1.\frac{\tau(L,F)}{n+1}\leq S(L,F)\leq\frac{n\tau(L,F)}{n+1}.

One should think of τ\tau and SS as the non-Archimedean analogues of the II and IJI-J functionals of Aubin, and it is shown by Boucksom–Jonsson that the above result holds for general valuations as well (cf. [8, Theorem 5.13]). An immediate consequence of Proposition 1.2 is the following:

(1.1) n+1nα(L)δ(L)(n+1)α(L).\frac{n+1}{n}\alpha(L)\leq\delta(L)\leq(n+1)\alpha(L).

1.3. Valuative invariants with higher moments, and the main results

S(L,F)S(L,F) can be treated as the first moment of the vanishing order of LL along FF. In general for p1p\geq 1, one can also consider the pp-th moment of the vanishing order of LL along FF. More precisely, given a basis {si}\{s_{i}\} of H0(X,mL)H^{0}(X,mL) that is compatible with the filtration induced by FF, put

Sm(p)(L,F):=1dmi=1dm(ordF(si)m)p.S^{(p)}_{m}(L,F):=\frac{1}{d_{m}}\sum_{i=1}^{d_{m}}\bigg{(}\frac{\mathrm{ord}_{F}(s_{i})}{m}\bigg{)}^{p}.

In the K-stability literature, related LpL^{p} notions (for test configurations) have been introduced and studied by Donaldson [18], Dervan [16], Hismoto [27] et. al. Our formulation of S(p)S^{(p)} 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 mm\rightarrow\infty, one has (see Lemma 2.2)

S(p)(L,F):=1vol(L)0τ(L,F)pxp1vol(LxF)𝑑x.S^{(p)}(L,F):=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}px^{p-1}\operatorname{vol}(L-xF)dx.

So in particular S(L,F)=S(1)(L,F).S(L,F)=S^{(1)}(L,F). One main point of this article is to show that most properties established for SS in the literature hold for S(p)S^{(p)} as well; see Section 2 for more details.

Extending Fujita’s barycenter inequality to the pp-th moment, we have

Theorem 1.3.

Given any divisor FF over XX, one has

Γ(p+1)Γ(n+1)Γ(p+n+1)τ(L,F)pS(p)(L,F)nn+pτ(L,F)p.\frac{\Gamma(p+1)\Gamma(n+1)}{\Gamma(p+n+1)}\tau(L,F)^{p}\leq S^{(p)}(L,F)\leq\frac{n}{n+p}\tau(L,F)^{p}.

Here Γ()\Gamma(\cdot) is the gamma function.

Letting pp\rightarrow\infty, one obtains the following

Corollary 1.4.

One has

τ(L,F)=limpS(p)(L,F)1/p.\tau(L,F)=\lim_{p\rightarrow\infty}S^{(p)}(L,F)^{1/p}.

Relating to the dpd_{p}-geometry of maximal geodesic rays, S(p)(L,F)S^{(p)}(L,F) 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.

Let φtF\varphi_{t}^{F} be the maximal geodesic ray induced by FF (see Section 6 for the setup and definition), then

S(p)(L,F)1/p=dp(0,φtF)t for all t>0,S^{(p)}(L,F)^{1/p}=\frac{d_{p}(0,\varphi^{F}_{t})}{t}\text{ for all }t>0,

where dpd_{p} denotes the Finsler metric introduced by Darvas (see (6.4)).

The set of moments {S(p)}\{S^{(p)}\} can also be used to construct various kinds of valuative thresholds for (X,L)(X,L). It turns out that α\alpha and δ\delta are only two special ones. To be more precise, one can put

δ(p)(L):=δ(p)(X,L):=infFAX(F)S(p)(L,F)1/p.\delta^{(p)}(L):=\delta^{(p)}(X,L):=\inf_{F}\frac{A_{X}(F)}{S^{(p)}(L,F)^{1/p}}.

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 {δ(p)(L)}p1\{\delta^{(p)}(L)\}_{p\geq 1} is a decreasing family of valuative invariants with

δ(L)=δ(1)(L) and α(L)=limpδ(p)(L).\delta(L)=\delta^{(1)}(L)\text{ and }\alpha(L)=\lim_{p\rightarrow\infty}\delta^{(p)}(L).

Moreover, observe that the valuative formulation of δ(p)(L)\delta^{(p)}(L) also makes sense when LL is merely a big \mathbb{R}-line bundle. We show that the continuity of δ\delta established in [42] holds for δ(p)\delta^{(p)} as well.

Theorem 1.6.

δ(p)()\delta^{(p)}(\cdot) 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 π:XT\pi:X\rightarrow T is a projective family of varieties and LL is a π\pi-ample Cartier divisor on XX. Assume that TT is normal, XtX_{t} is klt for all tTt\in T and KX/TK_{X/T} is \mathbb{Q}-Cartier. Then the function

Ttδ(p)(Xt,Lt)T\ni t\mapsto\delta^{(p)}(X_{t},L_{t})

is lower semi-continuous.

And also, in the Fano setting, it turns out that δ(p)\delta^{(p)} can give sufficient conditions for K-stability.

Theorem 1.8.

Let XX be a \mathbb{Q}-Fano variety of dimension nn. If

δ(p)(KX)>nn+1(n+pn)1/p,\delta^{(p)}(-K_{X})>\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p},

then XX is uniformly K-stable and hence admits a Kähler–Einstien metric.

For p=1p=1 this is simply the δ\delta-criterion of Fujita-Odaka [24] (which says that δ(KX)>1\delta(-K_{X})>1 implies uniform K-stability), while for p=p=\infty this recovers the α\alpha-criterion of Tian [38] and Odaka–Sano [32] (which says that α(KX)>nn+1\alpha(-K_{X})>\frac{n}{n+1} implies uniform K-stability). Thus Theorem 1.8 provides a bridge between α\alpha and δ\delta-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:

(nn+p)1/pδ(p)(L) is non-increasing in p.\bigg{(}\frac{n}{n+p}\bigg{)}^{1/p}\delta^{(p)}(L)\text{ is non-increasing in }p.

This is deduced from Proposition 5.2, which relies on the Brunn–Minkowski inequality and yields a new result in convex geometry regarding the pp-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 nn-dimensional Fano manifold X satisfies that

δ(p)(KX)=nn+1(n+pn)1/p\delta^{(p)}(-K_{X})=\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p}

for some p(1,]p\in(1,\infty]. Then either X=1X={\mathbb{P}}^{1} or XX is K-stable. In particular, X admits a Kähler-Einstein metric.

When p=p=\infty this is exactly the main theorem of Fujita [21] (which says that α(KX)=nn+1\alpha(-K_{X})=\frac{n}{n+1} implies KE when XX 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 S(p)S^{(p)} 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 S(p)S^{(p)} and dpd_{p}-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 XX be a klt projective variety and LL an ample line bundle on XX. Also fix some p1p\geq 1.

2.1. Divisorial valuations

The next definition is a natural generalization of the expected vanishing order introduced in [24, 3].

Definition 2.1.

Let p[1,+)p\in[1,+\infty). Given any prime divisor FF over XX, the pp-th moment of the expected vanishing order of LL along FF at level mm is given by

Sm(p)(L,F):=sup{1dmi=1dm(ordF(si)m)p|{si}i=1dm is a basis of H0(X,mL)}.S_{m}^{(p)}(L,F):=\sup\bigg{\{}\frac{1}{d_{m}}\sum_{i=1}^{d_{m}}\bigg{(}\frac{\mathrm{ord}_{F}(s_{i})}{m}\bigg{)}^{p}\bigg{|}\{s_{i}\}_{i=1}^{d_{m}}\text{ is a basis of }H^{0}(X,mL)\bigg{\}}.

We also put

S(p)(L,F):=limmSm(p)(L,F),S^{(p)}(L,F):=\lim_{m\rightarrow\infty}S^{(p)}_{m}(L,F),

which is called pp-th moment of the expected vanishing order of LL along FF.

This definition can be reformulated as follows (which in turn justifies the existence of the above limit).

Lemma 2.2.

Given any prime divisor FY𝜋XF\subset Y\xrightarrow{\pi}X, one has

Sm(p)(L,F)=1dmj1(jm)p(h0(mπLjF)h0(mπL(j+1)F))S_{m}^{(p)}(L,F)=\frac{1}{d_{m}}\sum_{j\geq 1}\bigg{(}\frac{j}{m}\bigg{)}^{p}\cdot\bigg{(}h^{0}(m\pi^{*}L-jF)-h^{0}(m\pi^{*}L-(j+1)F)\bigg{)}

and

S(p)(L,F)=1vol(L)0τ(L,F)xpd(vol(LxF))=pvol(L)0τ(L,F)xp1vol(LxF)𝑑x.S^{(p)}(L,F)=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}x^{p}d(-\operatorname{vol}(L-xF))=\frac{p}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}x^{p-1}\operatorname{vol}(L-xF)dx.
Proof.

For the first statement, we follow the proof of [24, Lemma 2.2]. Given a basis {si}\{s_{i}\} of H0(X,mL)H^{0}(X,mL), for integer j0j\geq 0, let aja_{j} be the number of sections of {si}\{s_{i}\} that are contained in the subspace H0(mπLjF)H^{0}(m\pi^{*}L-jF) when pulled back to YY. Then one has

1dmi=1dm(ordF(si)m)p\displaystyle\frac{1}{d_{m}}\sum_{i=1}^{d_{m}}\bigg{(}\frac{\mathrm{ord}_{F}(s_{i})}{m}\bigg{)}^{p} =1dmj1(jm)p(ajaj+1)\displaystyle=\frac{1}{d_{m}}\sum_{j\geq 1}\bigg{(}\frac{j}{m}\bigg{)}^{p}\cdot(a_{j}-a_{j+1})
=1dmj1[(jm)p(j1m)p]aj\displaystyle=\frac{1}{d_{m}}\sum_{j\geq 1}\bigg{[}\bigg{(}\frac{j}{m}\bigg{)}^{p}-\bigg{(}\frac{j-1}{m}\bigg{)}^{p}\bigg{]}\cdot a_{j}
1dmj1[(jm)p(j1m)p]h0(mπLjF)\displaystyle\leq\frac{1}{d_{m}}\sum_{j\geq 1}\bigg{[}\bigg{(}\frac{j}{m}\bigg{)}^{p}-\bigg{(}\frac{j-1}{m}\bigg{)}^{p}\bigg{]}\cdot h^{0}(m\pi^{*}L-jF)
=1dmj1(jm)p(h0(mπLjF)h0(mπL(j+1)F)).\displaystyle=\frac{1}{d_{m}}\sum_{j\geq 1}\bigg{(}\frac{j}{m}\bigg{)}^{p}\cdot\bigg{(}h^{0}(m\pi^{*}L-jF)-h^{0}(m\pi^{*}L-(j+1)F)\bigg{)}.

The equality is achieved exactly when {si}\{s_{i}\} is compatible with the filtration {H0(mπLjF)}j0\{H^{0}(m\pi^{*}L-jF)\}_{j\geq 0}.

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 {S(p)}\{S^{(p)}\}, Han–Li [25] constructed a non-Archimedean analogue of the HH-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

k=1(1)kS(k)(L,F)k!=1vol(L)0τ(L,F)exvol(LxF)𝑑x.\sum_{k=1}^{\infty}\frac{(-1)^{k}S^{(k)}(L,F)}{k!}=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}e^{-x}\operatorname{vol}(L-xF)dx.

Then Han–Li defined

HNA(X,L):=infF{AX(F)+log(11vol(L)0τ(L,F)exvol(LxF)𝑑x)}.H^{\mathrm{{NA}}}(X,L):=\inf_{F}\bigg{\{}A_{X}(F)+\log\bigg{(}1-\frac{1}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}e^{-x}\operatorname{vol}(L-xF)dx\bigg{)}\bigg{\}}.

As shown by Han–Li [25], this invariant plays significant roles in the study of the Hamilton–Tian conjecture just as the δ\delta-invariant in the Yau–Tian–Donaldson conjecture.

2.2. Filtrations

For simplicity we put

R:=m0RmR:=\bigoplus_{m\geq 0}R_{m}

with Rm:=H0(X,mL).R_{m}:=H^{0}(X,mL). We say \mathcal{F} is a filtration of RR if for any λ\lambda\in\mathbb{R} and mm\in{\mathbb{N}} there is a subspace λRmRm\mathcal{F}^{\lambda}R_{m}\subset R_{m} satisfying

  1. (1)

    λRmλRm\mathcal{F}^{\lambda^{\prime}}R_{m}\supseteq\mathcal{F}^{\lambda}R_{m} for any λλ\lambda^{\prime}\leq\lambda;

  2. (2)

    λRm=λ<λλRm\mathcal{F}^{\lambda}R_{m}=\bigcap_{\lambda^{\prime}<\lambda}\mathcal{F}^{\lambda^{\prime}}R_{m};

  3. (3)

    λ1Rm1λ2Rm2λ1+λ2Rm1+m2\mathcal{F}^{\lambda_{1}}R_{m_{1}}\cdot\mathcal{F}^{\lambda_{2}}R_{m_{2}}\subseteq\mathcal{F}^{\lambda_{1}+\lambda_{2}}R_{m_{1}+m_{2}} for any λ1,λ2\lambda_{1},\lambda_{2} and m1,m2m_{1},m_{2}\in{\mathbb{N}};

  4. (4)

    λRm=Rm\mathcal{F}^{\lambda}R_{m}=R_{m} for λ0\lambda\leq 0 and λRm={0}\mathcal{F}^{\lambda}R_{m}=\{0\} for λ0\lambda\gg 0.

We say \mathcal{F} is linearly bounded if there exists C>0C>0 such that CmRm={0}\mathcal{F}^{Cm}R_{m}=\{0\} for any mm\in{\mathbb{N}}. We say \mathcal{F} is a filtration of RmR_{m} if only items (1),(2)(1),(2) and (4)(4) are satisfied. We call \mathcal{F} trivial if λRm={0}\mathcal{F}^{\lambda}R_{m}=\{0\} for any λ>0\lambda>0.

Following [3], the definition of Sm(p)S_{m}^{(p)} also extends to filtrations of RmR_{m}. More precisely, let \mathcal{F} be a filtration of RmR_{m}, the jumping numbers of \mathcal{F} are given by

0am,1am,2am,dm0\leq a_{m,1}\leq a_{m,2}\leq\cdots\leq a_{m,d_{m}}

where

(2.1) am,j:=am,k():=inf{λ0|codimλRmj}.a_{m,j}:=a_{m,k}(\mathcal{F}):=\inf\{\lambda\in\mathbb{R}_{\geq 0}|\ \mathrm{codim}\mathcal{F}^{\lambda}R_{m}\geq j\}.

Then we put (see also [25, (81)])

Sm(p)(L,):=1dmj=1dm(am,jm)p and Tm(L,):=am,dmm.S^{(p)}_{m}(L,\mathcal{F}):=\frac{1}{d_{m}}\sum_{j=1}^{d_{m}}\bigg{(}\frac{a_{m,j}}{m}\bigg{)}^{p}\text{ and }T_{m}(L,\mathcal{F}):=\frac{a_{m,d_{m}}}{m}.

Thus Sm(1)(L,)=Sm(L,)S_{m}^{(1)}(L,\mathcal{F})=S_{m}(L,\mathcal{F}) is the rescaled sum of jumping numbers studied in [3].

A filtration is called an {\mathbb{N}}-filtration if all its jumping numbers are non-negative integers. For instance the filtration induced by a divisor over XX is {\mathbb{N}}-filtration. Given any filtration \mathcal{F} of RmR_{m}, its induced {\mathbb{N}}-filtration \mathcal{F}_{\mathbb{N}} is given by

(2.2) λRm:=λRmfor all λ0.\mathcal{F}^{\lambda}_{\mathbb{N}}R_{m}:=\mathcal{F}^{\lceil\lambda\rceil}R_{m}\ \text{for all }\lambda\in\mathbb{R}_{\geq 0}.

Then one has

am,j()=am,j().a_{m,j}(\mathcal{F}_{{\mathbb{N}}})=\lfloor a_{m,j}(\mathcal{F})\rfloor.

The next result is a simple generalization of [3, Proposition 2.11]

Proposition 2.4.

If \mathcal{F} is a filtration on RmR_{m}, then

Sm(p)(L,)Sm(p)(L,){Sm(p)(L,)1m,p=1,Sm(p)(L,)pmp1Sm(1)(L,), 1<p<2,Sm(p)(L,)pmSm(p1)(L,),p2.S_{m}^{(p)}(L,\mathcal{F})\geq S^{(p)}_{m}(L,\mathcal{F}_{\mathbb{N}})\geq\begin{cases}S^{(p)}_{m}(L,\mathcal{F})-\frac{1}{m},\ p=1,\\ S^{(p)}_{m}(L,\mathcal{F})-\frac{p}{m^{p-1}}S^{(1)}_{m}(L,\mathcal{F}),\ 1<p<2,\\ S^{(p)}_{m}(L,\mathcal{F})-\frac{p}{m}S^{(p-1)}_{m}(L,\mathcal{F}),\ p\geq 2.\\ \end{cases}
Proof.

This follows from the elementary inequality:

(x1)pxppxp1for p1 and x1.(x-1)^{p}\geq x^{p}-px^{p-1}\ \text{for }p\geq 1\text{ and }x\geq 1.

Now as in [3, Section 2.2] let us fix a local system (z1,,zn)(z_{1},...,z_{n}) around a regular closed point of XX, which then yields a Newton–Okounkov body Δn\Delta\subset\mathbb{R}^{n} for LL and denote the Lebesgue measure on Δ\Delta by ρ\rho. Then any filtration \mathcal{F} of R=R(X,L)=m0RmR=R(X,L)=\oplus_{m\geq 0}R_{m} induces a family of graded linear series VtV_{\bullet}^{t} (t0t\in\mathbb{R}_{\geq 0}) and also a concave function GG on Δ\Delta. More precisely, Vt=mVmtV_{\bullet}^{t}=\oplus_{m}V^{t}_{m} with

Vmt:=tmRm,V_{m}^{t}:=\mathcal{F}^{tm}R_{m},

which induces a Newton–Okounkov body ΔtΔ\Delta^{t}\subset\Delta and

G(α):=sup{t0|αΔt}.G(\alpha):=\sup\{t\in\mathbb{R}_{\geq 0}|\alpha\in\Delta^{t}\}.

Then define

S(p)(L,):=1vol(L)0ptp1vol(Vt)𝑑t=1vol(L)0tpd(vol(Vt))=1vol(Δ)ΔGp𝑑ρS^{(p)}(L,\mathcal{F}):=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\infty}pt^{p-1}\operatorname{vol}(V^{t}_{\bullet})dt=\frac{1}{\operatorname{vol}(L)}\int_{0}^{\infty}t^{p}d(-\operatorname{vol}(V^{t}_{\bullet}))=\frac{1}{\operatorname{vol}(\Delta)}\int_{\Delta}G^{p}d\rho

and also put

T(L,):=limmTm(L,).T(L,\mathcal{F}):=\lim_{m\rightarrow\infty}T_{m}(L,\mathcal{F}).

One then can deduce that

Γ(p+1)Γ(n+1)Γ(p+n+1)T(L,)pS(p)(L,)T(L,)p.\frac{\Gamma(p+1)\Gamma(n+1)}{\Gamma(p+n+1)}T(L,\mathcal{F})^{p}\leq S^{(p)}(L,\mathcal{F})\leq T(L,\mathcal{F})^{p}.

This generalizes [3, Lemma 2.6] (see also the proof of Theorem 1.3). A simple consequence is that

T(L,)=limpS(p)(L,)1/p.T(L,\mathcal{F})=\lim_{p\rightarrow\infty}S^{(p)}(L,\mathcal{F})^{1/p}.

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. (1)

    One has S(p)(L,)=limmSm(p)(L,).S^{(p)}(L,\mathcal{F})=\lim_{m}S^{(p)}_{m}(L,\mathcal{F}).

  2. (2)

    For every ε>0\varepsilon>0 there exists m0=m0(ε)>0m_{0}=m_{0}(\varepsilon)>0 such that

    Sm(p)(L,)(1+ε)S(p)(L,)S^{(p)}_{m}(L,\mathcal{F})\leq(1+\varepsilon)S^{(p)}(L,\mathcal{F})

    for any mm0m\geq m_{0} and any linearly bounded filtration \mathcal{F} on RR.

  3. (3)

    If \mathcal{F} is a filtration on RR, then S(p)(L,)=S(p)(L,)S^{(p)}(L,\mathcal{F}_{\mathbb{N}})=S^{(p)}(L,\mathcal{F}).

Let ValX\mathrm{Val}_{X} be the set of real valuations on the function field of XX that are trivial on the ground field {\mathbb{C}}. Any vValXv\in\mathrm{Val}_{X} induces a filtration v\mathcal{F}_{v} on RR via

vλRm:={sRm|v(s)t}\mathcal{F}_{v}^{\lambda}R_{m}:=\{s\in R_{m}\ |\ v(s)\geq t\}

for mm\in{\mathbb{N}} and λ0\lambda\in\mathbb{R}_{\geq 0}. Then put

Sm(p)(L,v):=Sm(p)(L,v) and S(p)(L,v):=S(p)(L,v).S^{(p)}_{m}(L,v):=S^{(p)}_{m}(L,\mathcal{F}_{v})\text{ and }S^{(p)}(L,v):=S^{(p)}(L,\mathcal{F}_{v}).

Note that v\mathcal{F}_{v} is saturated in the sense of [20, Definition 4.4]. To be more precise, let

𝔟(|vλRm|):=Im(vλRm(mL)𝒪X)\mathfrak{b}(|\mathcal{F}_{v}^{\lambda}R_{m}|):=\mathrm{Im}\bigg{(}\mathcal{F}^{\lambda}_{v}R_{m}\otimes(-mL)\rightarrow\mathcal{O}_{X}\bigg{)}

be the base ideal of vλRm\mathcal{F}^{\lambda}_{v}R_{m}. Let 𝔟(|vλRm|)¯\overline{\mathfrak{b}(|\mathcal{F}^{\lambda}_{v}R_{m}|)} denote its integral closure (i.e., 𝔟(|vλRm|)¯\overline{\mathfrak{b}(|\mathcal{F}^{\lambda}_{v}R_{m}|)} is the set of elements f𝒪Xf\in\mathcal{O}_{X} satisfying a monic equation fd+a1fd1++ad=0f^{d}+a_{1}f^{d-1}+...+a_{d}=0 with ai𝔟(|vλRm|)ia_{i}\in\mathfrak{b}(|\mathcal{F}_{v}^{\lambda}R_{m}|)^{i}).

Lemma 2.6.

For any λ0\lambda\in\mathbb{R}_{\geq 0} and mm\in{\mathbb{N}}, one has

vλRm=H0(X,mL𝔟(|vλRm|))=H0(X,mL𝔟(|vλRm|)¯).\mathcal{F}^{\lambda}_{v}R_{m}=H^{0}(X,mL\otimes\mathfrak{b}(|\mathcal{F}_{v}^{\lambda}R_{m}|))=H^{0}(X,mL\otimes\overline{\mathfrak{b}(|\mathcal{F}^{\lambda}_{v}R_{m}|)}).
Proof.

Put 𝔞λ(v):={f𝒪X|v(f)λ}.\mathfrak{a}_{\lambda}(v):=\{f\in\mathcal{O}_{X}\ |\ v(f)\geq\lambda\}. It is easy to see that 𝔞λ(v)\mathfrak{a}_{\lambda}(v) is integrally closed, i.e., 𝔞λ(v)¯=𝔞λ(v)\overline{\mathfrak{a}_{\lambda}(v)}=\mathfrak{a}_{\lambda}(v). Moreover by definition,

vλRm=H0(X,mL𝔞λ(v)).\mathcal{F}^{\lambda}_{v}R_{m}=H^{0}(X,mL\otimes\mathfrak{a}_{\lambda}(v)).

Thus

vλRmH0(X,mL𝔟(|vλRm|))H0(X,mL𝔟(|vλRm|)¯)H0(X,mL𝔞λ(v))=vλRm.\displaystyle\mathcal{F}^{\lambda}_{v}R_{m}\subset H^{0}(X,mL\otimes\mathfrak{b}(|\mathcal{F}_{v}^{\lambda}R_{m}|))\subset H^{0}(X,mL\otimes\overline{\mathfrak{b}(|\mathcal{F}^{\lambda}_{v}R_{m}|)})\subset H^{0}(X,mL\otimes\mathfrak{a}_{\lambda}(v))=\mathcal{F}^{\lambda}_{v}R_{m}.

So we conclude. ∎

For t0t\in\mathbb{R}_{\geq 0} and ll\in{\mathbb{N}}, set

Vm,lt:=H0(X,mlL𝔟(|vtmRm|)l¯).V^{t}_{m,l}:=H^{0}(X,mlL\otimes\overline{\mathfrak{b}(|\mathcal{F}^{tm}_{v}R_{m}|)^{l}}).

The previous lemma implies that Vm,t:=lVm,ltV^{t}_{m,\bullet}:=\bigoplus_{l\in{\mathbb{N}}}V^{t}_{m,l} is a subalgebra of VtV^{t}_{\bullet}. Put

S~m(p)(L,v):=1mnvol(L)0ptp1vol(Vm,t)𝑑t.\tilde{S}^{(p)}_{m}(L,v):=\frac{1}{m^{n}\operatorname{vol}(L)}\int_{0}^{\infty}pt^{p-1}\operatorname{vol}(V_{m,\bullet}^{t})dt.

As illustrated in [3, Section 5], the graded linear series Vm,tV^{t}_{m,\bullet} can effectively approximate VtV^{t}_{\bullet}. The argument therein extends to our LpL^{p} 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 XX be a normal projective klt variety and LL an ample line bundle on XX. Then there exists a constant C=C(X,L)C=C(X,L) such that

0S(p)(L,v)S~m(p)(L,v)(CA(v)m)p0\leq S^{(p)}(L,v)-\tilde{S}^{(p)}_{m}(L,v)\leq\bigg{(}\frac{CA(v)}{m}\bigg{)}^{p}

for all mm\in{\mathbb{N}}^{*} and all vValXv\in\mathrm{Val}_{X} with AX(v)<A_{X}(v)<\infty

3. Continuity in the big cone

In this section we assume that XX is a klt projective variety and LL a big \mathbb{R}-line bundle on XX (we refer to [28] for the positivity notions of line bundles). As before, fix some p1p\geq 1. Recall that its δ(p)\delta^{(p)}-invariant is given by

δ(p)(L):=infFAX(F)S(p)(L,F)1/p,\delta^{(p)}(L):=\inf_{F}\frac{A_{X}(F)}{S^{(p)}(L,F)^{1/p}},

where FF runs through all the prime divisors over XX. 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 ε0\varepsilon_{0} only depending nn and pp such that the following holds. Given any big \mathbb{R}-line bundle LL any ε(0,ε0)\varepsilon\in(0,\varepsilon_{0}), assume that there is a big \mathbb{R}-line bundle LεL_{\varepsilon} such that

both (1+ε)LLε and Lε(1ε)L are big,\text{both }(1+\varepsilon)L-L_{\varepsilon}\text{ and }L_{\varepsilon}-(1-\varepsilon)L\text{ are big,}

we have

δ(p)(L+εLε)δ(p)(L)δ(p)(LεLε).\delta^{(p)}(L+\varepsilon L_{\varepsilon})\leq\delta^{(p)}(L)\leq\delta^{(p)}(L-\varepsilon L_{\varepsilon}).
Proof.

We only prove δ(p)(L+εLε)δ(p)(L)\delta^{(p)}(L+\varepsilon L_{\varepsilon})\leq\delta^{(p)}(L), since the other part follows in a similar manner. Let FF be any prime divisor over XX. It suffices to show

S(p)(L+εLε,F)S(p)(L,F).S^{(p)}(L+\varepsilon L_{\varepsilon},F)\geq S^{(p)}(L,F).

To this end, we calculate as follows:

S(p)(L+εLε,F)=1vol(L+εLε)0pxp1vol(L+εLεxF)𝑑x1vol(L+(ε+ε2)L)0pxp1vol(L+(εε2)LxF)𝑑x=(1+εε21+ε+ε2)nS(p)((1+εε2)L,F)=(1+εε21+ε+ε2)n(1+εε2)pS(p)(L,F).\begin{split}S^{(p)}(L+\varepsilon L_{\varepsilon},F)&=\frac{1}{\operatorname{vol}(L+\varepsilon L_{\varepsilon})}\int_{0}^{\infty}px^{p-1}\operatorname{vol}(L+\varepsilon L_{\varepsilon}-xF)dx\\ &\geq\frac{1}{\operatorname{vol}(L+(\varepsilon+\varepsilon^{2})L)}\int_{0}^{\infty}px^{p-1}\operatorname{vol}(L+(\varepsilon-\varepsilon^{2})L-xF)dx\\ &=\bigg{(}\frac{1+\varepsilon-\varepsilon^{2}}{1+\varepsilon+\varepsilon^{2}}\bigg{)}^{n}\cdot S^{(p)}\bigg{(}(1+\varepsilon-\varepsilon^{2})L,F\bigg{)}\\ &=\bigg{(}\frac{1+\varepsilon-\varepsilon^{2}}{1+\varepsilon+\varepsilon^{2}}\bigg{)}^{n}\cdot(1+\varepsilon-\varepsilon^{2})^{p}\cdot S^{(p)}(L,F).\\ \end{split}

By choosing ε\varepsilon small enough we can arrange that

(1+εε21+ε+ε2)n(1+εε2)p1.\bigg{(}\frac{1+\varepsilon-\varepsilon^{2}}{1+\varepsilon+\varepsilon^{2}}\bigg{)}^{n}\cdot(1+\varepsilon-\varepsilon^{2})^{p}\geq 1.

This completes the proof. ∎

Proof of Theorem 1.6.

Let LL be a big \mathbb{R}-line bundle. Fix any auxiliary \mathbb{R}-line bundle SN1(X)S\in N^{1}(X)_{\mathbb{R}}. We need to show that, for any small ε>0\varepsilon>0, there exists γ>0\gamma>0 such that

(1ε)δ(p)(L)δ(p)(L+γS)(1+ε)δ(p)(L).(1-\varepsilon)\delta^{(p)}(L)\leq\delta^{(p)}(L+\gamma S)\leq(1+\varepsilon)\delta^{(p)}(L).

Here L+γSL+\gamma S is always assumed to be big (by choosing γ\gamma sufficiently small). Notice that for any ε>0\varepsilon>0, we can write

L+γS=11+ε(L+ε(L+(1+ε)γεS)).L+\gamma S=\frac{1}{1+\varepsilon}\bigg{(}L+\varepsilon\big{(}L+\frac{(1+\varepsilon)\gamma}{\varepsilon}S\big{)}\bigg{)}.

Put

Lε:=L+(1+ε)γεS.L_{\varepsilon}:=L+\frac{(1+\varepsilon)\gamma}{\varepsilon}S.

Then by choosing γ\gamma small enough, we can assume that

both (1+ε)LLε and Lε(1ε)L are big.\text{both }(1+\varepsilon)L-L_{\varepsilon}\text{ and }L_{\varepsilon}-(1-\varepsilon)L\text{ are big.}

So from the scaling property (easy to verify from the definition):

δ(p)(λL)=λ1δ(p)(L)for λ>0\delta^{(p)}(\lambda L)=\lambda^{-1}\delta^{(p)}(L)\ \text{for }\lambda>0

and Lemma 3.1, it follows that

δ(p)(L+γS)=(1+ε)δ(p)(L+εLε)(1+ε)δ(p)(L).\delta^{(p)}(L+\gamma S)=(1+\varepsilon)\delta^{(p)}(L+\varepsilon L_{\varepsilon})\leq(1+\varepsilon)\delta^{(p)}(L).

We can also write

L+γS=11ε(Lε(L(1ε)γεS)).L+\gamma S=\frac{1}{1-\varepsilon}\bigg{(}L-\varepsilon\big{(}L-\frac{(1-\varepsilon)\gamma}{\varepsilon}S\big{)}\bigg{)}.

Then a similar treatment as above yields

δ(p)(L+γS)(1ε)δ(p)(L).\delta^{(p)}(L+\gamma S)\geq(1-\varepsilon)\delta^{(p)}(L).

In conclusion, for any small ε>0\varepsilon>0, by choosing γ\gamma to be sufficiently small, we have

(1ε)δ(p)(L)δ(p)(L+γS)(1+ε)δ(p)(L).(1-\varepsilon)\delta^{(p)}(L)\leq\delta^{(p)}(L+\gamma S)\leq(1+\varepsilon)\delta^{(p)}(L).

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

δ¯(p)(L):=δ(p)(L)vol(L)1/p=infFAX(F)(0τ(L,F)pxp1vol(LxF)𝑑x)1/p.\bar{\delta}^{(p)}(L):=\frac{\delta^{(p)}(L)}{\operatorname{vol}(L)^{1/p}}=\inf_{F}\frac{A_{X}(F)}{\big{(}\int_{0}^{\tau(L,F)}px^{p-1}\operatorname{vol}(L-xF)dx\big{)}^{1/p}}.

Observe that δ¯(p)()\bar{\delta}^{(p)}(\cdot) satisfies:

  1. (1)

    for any effective divisor DD, one has δ¯(p)(L+D)δ¯(p)(L)\bar{\delta}^{(p)}(L+D)\leq\bar{\delta}^{(p)}(L) since vol(L+DxF)vol(LxF)\operatorname{vol}(L+D-xF)\geq\operatorname{vol}(L-xF) for any FF over XX and any x0x\geq 0;

  2. (2)

    for any λ>0\lambda\in\mathbb{R}_{>0} one has δ¯(p)(λL)=λn+ppδ¯(p)(L)\bar{\delta}^{(p)}(\lambda L)=\lambda^{-\frac{n+p}{p}}\bar{\delta}^{(p)}(L).

It is a well-known fact that these properties imply the continuity of δ¯(p)()\bar{\delta}^{(p)}(\cdot) (the previous proof of Theorem 1.6 is actually a variant of this fact). Now since both δ¯(p)()\bar{\delta}^{(p)}(\cdot) and vol()\operatorname{vol}(\cdot) are continuous, so is δ(p)()\delta^{(p)}(\cdot).

4. Semi-continuity in families

In this section we prove Theorem 1.7. Let (X,L)(X,L) be a polarized klt pair. We set

(4.1) δ~(p)(L):=infvAX(v)S(p)(L,v)1/p\tilde{\delta}^{(p)}(L):=\inf_{v}\frac{A_{X}(v)}{S^{(p)}(L,v)^{1/p}}

where vv runs through all the valuations with AX(v)<A_{X}(v)<\infty.

By [3, Theorem C], δ~(p)=δ(p)\tilde{\delta}^{(p)}=\delta^{(p)} for p=1p=1 and \infty, the main reason being that both α\alpha and δ\delta-invariants can be defined in terms of the log canonical threshold of certain divisors. However to show that δ~(p)=δ(p)\tilde{\delta}^{(p)}=\delta^{(p)} holds for general pp 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 δ~(p)\tilde{\delta}^{(p)} as well.

Theorem 4.1.

Let π:XT\pi:X\rightarrow T is a projective family of varieties and LL is a π\pi-ample Cartier divisor on XX. Assume that TT is normal, XtX_{t} is klt for all tTt\in T and KX/TK_{X/T} is \mathbb{Q}-Cartier. Then the function

Ttδ~(p)(Xt,Lt)T\ni t\mapsto\tilde{\delta}^{(p)}(X_{t},L_{t})

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

δ~(p)(L)=inflct(X,𝔟())S(p)(L,)1/p,\tilde{\delta}^{(p)}(L)=\inf_{\mathcal{F}}\frac{\mathrm{lct}(X,\mathfrak{b}_{\bullet}(\mathcal{F}))}{S^{(p)}(L,\mathcal{F})^{1/p}},

where \mathcal{F} runs through all non-trivial linearly bounded filtrations of RR and 𝔟()\mathfrak{b}_{\bullet}(\mathcal{F}) denote the graded ideal associated to \mathcal{F} (cf. [3, Section 3.6]). Second, we need to introduce a quantized version of δ~(p)\tilde{\delta}^{(p)} by putting

δ~m(p)(L):=infvAX(v)Sm(p)(L,v)1/p,\tilde{\delta}^{(p)}_{m}(L):=\inf_{v}\frac{A_{X}(v)}{S^{(p)}_{m}(L,v)^{1/p}},

where vv runs through all the valuations with AX(v)<A_{X}(v)<\infty. Then by Proposition 2.5, we have (as in [3, Theorem 4.4])

(4.2) δ~(p)(L)=limmδ~m(p)(L).\tilde{\delta}^{(p)}(L)=\lim_{m\rightarrow\infty}\tilde{\delta}^{(p)}_{m}(L).

Meanwhile, we also need

δ~^m(p)(L):=inflct(X,𝔟(^))Sm(p)(L,)1/p\hat{\tilde{\delta}}^{(p)}_{m}(L):=\inf_{\mathcal{F}}\frac{\mathrm{lct}(X,\mathfrak{b}_{\bullet}(\hat{\mathcal{F}}))}{S_{m}^{(p)}(L,\mathcal{F})^{1/p}}

where \mathcal{F} runs through all non-trivial {\mathbb{N}}-filtration of RmR_{m} with Tm()1T_{m}(\mathcal{F})\leq 1 and ^\hat{\mathcal{F}} denote the filtration of RR generated by \mathcal{F} (cf. [4, Definition 3.18]). Then combining Proposition 2.4 with the argument of [4, Proposition 4.17], we derive that

(4.3) (1δ~m(p)(L))ppm(1α(L))p(1δ~^m(p)(L))p(1δ~m(p)(L))p.\bigg{(}\frac{1}{\tilde{\delta}_{m}^{(p)}(L)}\bigg{)}^{p}-\frac{p}{m}\bigg{(}\frac{1}{\alpha(L)}\bigg{)}^{p}\leq\bigg{(}\frac{1}{\hat{\tilde{\delta}}^{(p)}_{m}(L)}\bigg{)}^{p}\leq\bigg{(}\frac{1}{\tilde{\delta}_{m}^{(p)}(L)}\bigg{)}^{p}.

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 π:XT\pi:X\rightarrow T be a projective \mathbb{Q}-Gorenstein family of klt projective varieties over a normal base TT and LL a π\pi-ample Cartier divisor on XX. For each ε>0\varepsilon>0 there exits a positive integer M=M(ε)M=M(\varepsilon) such that

δ~^m(p)(Xt,Lt)δ~(p)(Xt,Lt)ε\hat{\tilde{\delta}}_{m}^{(p)}(X_{t},L_{t})-\tilde{\delta}^{(p)}(X_{t},L_{t})\leq\varepsilon

for all positive integer mm divisible by MM and tTt\in T.

Proposition 4.3.

Let π:XT\pi:X\rightarrow T be a projective \mathbb{Q}-Gorenstein family of klt projective varieties over a normal base TT and LL a π\pi-ample Cartier divisor on XX. For m0m\gg 0, the function Ttδ~^m(p)(Xt,Lt)T\ni t\mapsto\hat{\tilde{\delta}}^{(p)}_{m}(X_{t},L_{t}) 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])

δ~m(p)(Xt,Lt)δ~(p)(Xt,Lt)ε.\tilde{\delta}^{(p)}_{m}(X_{t},L_{t})-\tilde{\delta}^{(p)}(X_{t},L_{t})\leq\varepsilon.

By the strategy of [4], this can be derived from

S(p)(Lt,v)Sm(p)(Lt,v)εAXt(v)p,S^{(p)}(L_{t},v)-S_{m}^{(p)}(L_{t},v)\leq\varepsilon A_{X_{t}}(v)^{p},

which can be proved by generalizing the argument of [4, Theorem 5.13] to our LpL^{p} 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

δ(p)(L)=infF over XAX(F)S(p)(L,F)1/p=infvValXAX(v)S(p)(L,v)1/p.\delta^{(p)}(L)=\inf_{F\text{ \emph{over} }X}\frac{A_{X}(F)}{S^{(p)}(L,F)^{1/p}}=\inf_{v\in\mathrm{Val}_{X}}\frac{A_{X}(v)}{S^{(p)}(L,v)^{1/p}}.
Proof.

It amounts to proving

δ~(p)(L)δ(p)(L).\tilde{\delta}^{(p)}(L)\geq\delta^{(p)}(L).

To show this, it is enough to show that this holds in the following quantized sense:

(4.4) δ~^m(p)(L)infFAX(F)Sm(p)(L,F)1/p.\hat{\tilde{\delta}}^{(p)}_{m}(L)\geq\inf_{F}\frac{A_{X}(F)}{S^{(p)}_{m}(L,F)^{1/p}}.

Given this, then one can finish the proof by letting mm\rightarrow\infty as the left hand side converges to δ~(p)(L)\tilde{\delta}^{(p)}(L) by (4.3) and (4.2) while the right hand converges to δ(p)(L)\delta^{(p)}(L) by Proposition 2.5 and hence δ~(p)(L)δ(p)(L)\tilde{\delta}^{(p)}(L)\geq\delta^{(p)}(L) as desired.

To show (4.4), the key point is that, given any {\mathbb{N}}-filtration \mathcal{F} of RmR_{m} with Tm()1T_{m}(\mathcal{F})\leq 1, the associated graded ideal 𝔟(^)\mathfrak{b}_{\bullet}(\hat{\mathcal{F}}) is finitely generated (see [4, Lemma 3.20 (2)]). Thus there is a prime divisor FF over XX computing lct(X,𝔟(^))\mathrm{lct}(X,\mathfrak{b}_{\bullet}(\hat{\mathcal{F}})). This then yields (as in [4, Lemma 4.16])

lct(X,𝔟(^))Sm(p)(L,)1/pAX(F)S(p)(L,F)1/p,\frac{\mathrm{lct}(X,\mathfrak{b}_{\bullet}(\hat{\mathcal{F}}))}{S_{m}^{(p)}(L,\mathcal{F})^{1/p}}\geq\frac{A_{X}(F)}{S^{(p)}(L,F)^{1/p}},

which finishes the proof. ∎

Proof of Theorem 1.7.

The result follows from Theorem 4.1 and Proposition 4.4. ∎

Remark 4.5.

Arguing as in [3, Section 6], one can also show that there is always a valuation vv^{*} computing δ~(p)(L)\tilde{\delta}^{(p)}(L) when LL is ample. Moreover, as in [3, Proposition 4.8], vv^{*} is the unique valuation (up to scaling) computing lct(𝔞(v))\mathrm{lct}(\mathfrak{a}_{\bullet}(v^{*})). Then by [41], vv^{*} is actually quasi-monomial (the author is grateful to one anonymous referee for providing this argument).

5. Barycenter inequalities

Let (X,L)(X,L) 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 S(p)(L,F)S^{(p)}(L,F), we use the fact that vol(LxF)1/n\operatorname{vol}(L-xF)^{1/n} is a decreasing concave function (cf. [29, Corollary 4.12]), so that

vol(LxF)vol(L)τn(L,F)(τ(L,F)x)n\operatorname{vol}(L-xF)\geq\frac{\operatorname{vol}(L)}{\tau^{n}(L,F)}\cdot\big{(}\tau(L,F)-x\big{)}^{n}

and hence

S(p)(L,F)\displaystyle S^{(p)}(L,F) =pvol(L)0τ(L,F)xp1vol(LxF)𝑑x\displaystyle=\frac{p}{\operatorname{vol}(L)}\int_{0}^{\tau(L,F)}x^{p-1}\operatorname{vol}(L-xF)dx
pτn(L,F)0τ(L,F)xp1(τ(L,F)x)n𝑑x\displaystyle\geq\frac{p}{\tau^{n}(L,F)}\int_{0}^{\tau(L,F)}x^{p-1}\big{(}\tau(L,F)-x\big{)}^{n}dx
=pτ(L,F)p01tp1(1t)n𝑑t\displaystyle=p\tau(L,F)^{p}\int_{0}^{1}t^{p-1}(1-t)^{n}dt
=Γ(p+1)Γ(n+1)Γ(p+n+1)τp(L,F).\displaystyle=\frac{\Gamma(p+1)\Gamma(n+1)}{\Gamma(p+n+1)}\tau^{p}(L,F).

To show the upper bound for S(p)(L,F)S^{(p)}(L,F), we assume n2n\geq 2 (the case of n=1n=1 is trivial). We use the argument of [22, Proposition 2.1], which shows that there exists a non-negative concave function f(x)f(x) for x[0,τ(L,F)]x\in[0,\tau(L,F)] such that

fn1(x)dx=d(vol(LxF)vol(L))for x(0,τ(L,F)).f^{n-1}(x)dx=d\bigg{(}\frac{-\operatorname{vol}(L-xF)}{\operatorname{vol}(L)}\bigg{)}\ \text{for }x\in(0,\tau(L,F)).

Thus 111This suggests that (S(p)(L,F))1/p(S^{(p)}(L,F))^{1/p} can be treated as the pp-th barycenter of a convex body along xx-axis.

S(p)(L,F)=0τ(L,F)xpfn1(x)𝑑x.S^{(p)}(L,F)=\int_{0}^{\tau(L,F)}x^{p}f^{n-1}(x)dx.

For simplicity set b:=S(p)(L,F)b:=S^{(p)}(L,F). Note that f(x)>0f(x)>0 for x(0,τ(L,F))x\in(0,\tau(L,F)). Then b(0,τ(L,F)p)b\in(0,\tau(L,F)^{p}) and by the concavity of f(x)f(x), we have

{f(x)f(b)bx,x[0,b1/p],f(x)f(b)bx,x[b1/p,τ(L,F)].\begin{cases}f(x)\geq\frac{f(b)}{b}x,\ x\in[0,b^{1/p}],\\ f(x)\leq\frac{f(b)}{b}x,\ x\in[b^{1/p},\tau(L,F)].\end{cases}

Thus we have

0=0τ(L,F)(xpb)fn1(x)𝑑x0τ(L,F)(xpb)(f(b)bx)n1𝑑x=(f(b)b)n1(τ(L,F)p+np+nbτn(L,F)n),0=\int_{0}^{\tau(L,F)}(x^{p}-b)f^{n-1}(x)dx\geq\int_{0}^{\tau(L,F)}(x^{p}-b)\bigg{(}\frac{f(b)}{b}x\bigg{)}^{n-1}dx=\bigg{(}\frac{f(b)}{b}\bigg{)}^{n-1}\cdot\bigg{(}\frac{\tau(L,F)^{p+n}}{p+n}-b\frac{\tau^{n}(L,F)}{n}\bigg{)},

which implies that

bnn+pτ(L,F)p,b\leq\frac{n}{n+p}\tau(L,F)^{p},

as desired. ∎

An immediate consequence is the following, which generalizes (1.1).

Corollary 5.1.

One has (n+pn)1/pα(L)δ(p)(L)(Γ(p+n+1)Γ(p+1)Γ(n+1))1/pα(L).\big{(}\frac{n+p}{n}\big{)}^{1/p}\alpha(L)\leq\delta^{(p)}(L)\leq\big{(}\frac{\Gamma(p+n+1)}{\Gamma(p+1)\Gamma(n+1)}\big{)}^{1/p}\alpha(L).

Now we turn to the proof of Theorem 1.8. The key point is the following monotonicity.

Proposition 5.2.

Let FF be any prime divisor over XX. Set

H(p):=(n+pnS(p)(L,F))1/p for p1.H(p):=\bigg{(}\frac{n+p}{n}S^{(p)}(L,F)\bigg{)}^{1/p}\text{ for }p\geq 1.

Then H(p)H(p) is non-decreasing in pp.

Proof.

When n=1n=1, H(p)H(p) is a constant, so there is nothing to prove. Then as in the previous proof, we assume n2n\geq 2 and write

S(p)(L,F)=0τ(L,F)xpfn1(x)𝑑xS^{(p)}(L,F)=\int_{0}^{\tau(L,F)}x^{p}f^{n-1}(x)dx

for some non-negative concave function f(x)f(x) defined on [0,τ(L,F)][0,\tau(L,F)]. For simplicity set τ:=τ(L,F)\tau:=\tau(L,F). Then it amounts to proving that

H(p)=(n+pn0τxpfn1(x)𝑑x)1/pH(p)=\bigg{(}\frac{n+p}{n}\int_{0}^{\tau}x^{p}f^{n-1}(x)dx\bigg{)}^{1/p}

is non-decreasing in pp for any non-negative concave function f(x)f(x) defined on [0,τ][0,\tau] with the normalization condition

0τfn1(x)𝑑x=1.\int_{0}^{\tau}f^{n-1}(x)dx=1.

To this end, we introduce an auxiliary function:

g(x):=f(x)x,x(0,τ].g(x):=\frac{f(x)}{x},\ x\in(0,\tau].

By concavity of f(x)f(x), g(x) is differentiable almost everywhere, non-negative and decreasing for x(0,τ].g(x)\text{ is differentiable almost everywhere, non-negative and decreasing for }x\in(0,\tau]. For s>n1s>n-1, we put

K(s):=s0τxs1gn1(x)𝑑x.K(s):=s\int_{0}^{\tau}x^{s-1}g^{n-1}(x)dx.

Then one has (using 0τfn1(x)𝑑x=1\int_{0}^{\tau}f^{n-1}(x)dx=1)

H(p)=(K(n+p)K(n))1/p.H(p)=\bigg{(}\frac{K(n+p)}{K(n)}\bigg{)}^{1/p}.

To show this is non-decreasing in pp, it then suffices to show that

K(s) is log convex for s>n1.K(s)\text{ is log convex for }s>n-1.

To see this, for each small ε>0\varepsilon>0, using integration by parts for Lebesgue–Stieltjes integration, we have

sετxs1gn1(x)𝑑x=ετgn1(x)𝑑xs=ετxsd(gn1(x))+τsgn1(τ)εsgn1(ε).s\int_{\varepsilon}^{\tau}x^{s-1}g^{n-1}(x)dx=\int_{\varepsilon}^{\tau}g^{n-1}(x)dx^{s}=\int_{\varepsilon}^{\tau}x^{s}d(-g^{n-1}(x))+\tau^{s}g^{n-1}(\tau)-\varepsilon^{s}g^{n-1}(\varepsilon).

Here we used the fact that, as a monotonic function, gn1g^{n-1} has bounded variation on [ε,τ][\varepsilon,\tau] and hence the measure d(gn1(x))d(-g^{n-1}(x)) is well-defined on (ε,τ)(\varepsilon,\tau). Now observing

limε0εsgn1(ε)=limε0εs+1nf(ε)=0 for s>n1,\lim_{\varepsilon\searrow 0}\varepsilon^{s}g^{n-1}(\varepsilon)=\lim_{\varepsilon\searrow 0}\varepsilon^{s+1-n}f(\varepsilon)=0\text{ for }s>n-1,

we derive that for s>n1s>n-1,

K(s)=0τxsd(gn1(x))+τsgn1(τ),K(s)=\int_{0}^{\tau}x^{s}d(-g^{n-1}(x))+\tau^{s}g^{n-1}(\tau),

where d(gn1(x))d(-g^{n-1}(x)) is understood as a measure on (0,τ)(0,\tau). Set

M(s):=0τxsd(gn1(x)) for s>n1.M(s):=\int_{0}^{\tau}x^{s}d(-g^{n-1}(x))\text{ for }s>n-1.

Now applying Hölder’s inequality to the measure space ((0,τ),d(gn1(x)))\big{(}(0,\tau),d(-g^{n-1}(x))\big{)}, we derive that

(5.1) (0τlogxxsd(gn1(x)))2(0τ(logx)2xsd(gn1(x)))(0τxsd(gn1(x))),\bigg{(}\int_{0}^{\tau}\log x\cdot x^{s}d(-g^{n-1}(x))\bigg{)}^{2}\leq\bigg{(}\int_{0}^{\tau}(\log x)^{2}x^{s}d(-g^{n-1}(x))\bigg{)}\bigg{(}\int_{0}^{\tau}x^{s}d(-g^{n-1}(x))\bigg{)},

which reads

M′′M(M)20.M^{\prime\prime}M-(M^{\prime})^{2}\geq 0.

This implies that

K′′K(K)2=M′′M(M)2+τsgn1(τ)0τ(logxτ)2xsd(gn1(x))0,K^{\prime\prime}K-(K^{\prime})^{2}=M^{\prime\prime}M-(M^{\prime})^{2}+\tau^{s}g^{n-1}(\tau)\int_{0}^{\tau}\big{(}\log\frac{x}{\tau}\big{)}^{2}x^{s}d(-g^{n-1}(x))\geq 0,

so that K(s)K(s) is log convex, as desired. ∎

Remark 5.3.

We also believe that

(Γ(n+p+1)Γ(n+1)Γ(p+1)S(p)(L,F))1/p is non-increasing in p.\bigg{(}\frac{\Gamma(n+p+1)}{\Gamma(n+1)\Gamma(p+1)}S^{(p)}(L,F)\bigg{)}^{1/p}\text{ is non-increasing in }p.

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

δ(p)(L)1n+1(Γ(n+p+1)Γ(n+1)Γ(p+1))1/pδ(L),\delta^{(p)}(L)\geq\frac{1}{n+1}\bigg{(}\frac{\Gamma(n+p+1)}{\Gamma(n+1)\Gamma(p+1)}\bigg{)}^{1/p}\delta(L),

which hence generalizes the inequality α(L)1n+1δ(L)\alpha(L)\geq\frac{1}{n+1}\delta(L). Meanwhile it will also follow that δ(p)(L)\delta^{(p)}(L) is continuous in pp. We leave this problem to the interested readers.

Proof of Theorem 1.8.

Proposition 5.2 implies that for any FF over XX and p1p\geq 1,

(5.2) S(p)(L,F)1/pn+1n(nn+p)1/pS(L,F).S^{(p)}(L,F)^{1/p}\geq\frac{n+1}{n}\bigg{(}\frac{n}{n+p}\bigg{)}^{1/p}S(L,F).

Thus

δ(p)(L)=infFAX(F)S(p)(L,F)1/pnn+1(n+pn)1/pinfFAX(F)S(L,F)=nn+1(n+pn)1/pδ(L).\delta^{(p)}(L)=\inf_{F}\frac{A_{X}(F)}{S^{(p)}(L,F)^{1/p}}\leq\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p}\inf_{F}\frac{A_{X}(F)}{S(L,F)}=\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p}\delta(L).

Now in the Fano setting (when L=KXL=-K_{X}), we finish the proof by invoking Theorem 1.1 and [2, 31]. ∎

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 p=p=\infty is exactly [21, Theorem 1.2]. So we assume p(1,)p\in(1,\infty). We follow the strategy of Fujita [21]. Note that X=1X={\mathbb{P}}^{1} clearly satisfies the claimed statement, so assume that n2n\geq 2 and that XX is not K-stable with δ(KX)=1\delta(-K_{X})=1. Then by [23, Theorem 1.6] there exists a dreamy divisor FF over XX such that

AX(F)=S(KX,F).A_{X}(F)=S(-K_{X},F).

Moreover this FF has to achieve the equality in (5.2), namely

S(p)(L,F)1/p=n+1n(nn+p)1/pS(L,F).S^{(p)}(L,F)^{1/p}=\frac{n+1}{n}\bigg{(}\frac{n}{n+p}\bigg{)}^{1/p}S(L,F).

Using the notion in the proof of Proposition 5.2, this reads

n+1n0τxfn1(x)𝑑x=(n+pn0τxpfn1(x)𝑑x)1/p.\frac{n+1}{n}\int_{0}^{\tau}xf^{n-1}(x)dx=\bigg{(}\frac{n+p}{n}\int_{0}^{\tau}x^{p}f^{n-1}(x)dx\bigg{)}^{1/p}.

Namely,

K(n+1)K(n)=(K(n+p)K(n))1/p.\frac{K(n+1)}{K(n)}=\bigg{(}\frac{K(n+p)}{K(n)}\bigg{)}^{1/p}.

By the log convexity of K(s)K(s), this forces that

logK(s) is affine for s[n,n+p].\log K(s)\text{ is affine for }s\in[n,n+p].

In particular

K′′K(K)2=M′′M(M)2+τsgn1(τ)0τ(logxτ)2xsd(gn1(x))=0 for s[n,n+p].K^{\prime\prime}K-(K^{\prime})^{2}=M^{\prime\prime}M-(M^{\prime})^{2}+\tau^{s}g^{n-1}(\tau)\int_{0}^{\tau}\big{(}\log\frac{x}{\tau}\big{)}^{2}x^{s}d(-g^{n-1}(x))=0\text{ for }s\in[n,n+p].

This further forces that

M′′M(M)2=τsgn1(τ)0τ(logxτ)2xsd(gn1(x))=0 for s[n,n+p].M^{\prime\prime}M-(M^{\prime})^{2}=\tau^{s}g^{n-1}(\tau)\int_{0}^{\tau}\big{(}\log\frac{x}{\tau}\big{)}^{2}x^{s}d(-g^{n-1}(x))=0\text{ for }s\in[n,n+p].

In particular, the Hölder inequality (5.1) is an equality, which implies that there exist real numbers α,β0\alpha,\beta\geq 0, not both of them zero, such that

α|logx|=βxs/2 holds for x(0,τ)\U,\alpha|\log x|=\beta x^{s/2}\text{ holds for }x\in(0,\tau)\backslash U,

where U(0,τ)U\subset(0,\tau) is a subset satisfying

Ud(gn1(x))=0.\int_{U}d(-g^{n-1}(x))=0.

This implies that d(gn1(x))d(-g^{n-1}(x)) is a zero measure away from finitely many points in (0,τ)(0,\tau). Therefore

g(x) is a step function.g(x)\text{ is a step function.}

Now recall that f(x)=xg(x)f(x)=xg(x) is concave and hence continuous on (0,τ)(0,\tau). Thus

f(x)=Cx for some constant C>0.f(x)=Cx\text{ for some constant }C>0.

The normalization condition 0τfn1(x)𝑑x=1\int_{0}^{\tau}f^{n-1}(x)dx=1 further implies that

Cn1=nτn.C^{n-1}=\frac{n}{\tau^{n}}.

Thus

AX(F)=S(KX,F)=nτn0τxn𝑑x=nn+1τ(KX,F).A_{X}(F)=S(-K_{X},F)=\frac{n}{\tau^{n}}\int_{0}^{\tau}x^{n}dx=\frac{n}{n+1}\tau(-K_{X},F).

Then by [21, Theorem 4.1], XnX\cong{\mathbb{P}}^{n}. Now let HH be a hyperplane in n{\mathbb{P}}^{n}, straightforward calculation then yields

nn+1(n+pn)1/p=δ(p)(KX)AX(H)S(p)(KX,H)1/p=1n+1(Γ(p+n+1)Γ(p+1)Γ(n+1))1/p.\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p}=\delta^{(p)}(-K_{X})\leq\frac{A_{X}(H)}{S^{(p)}(-K_{X},H)^{1/p}}=\frac{1}{n+1}\cdot\bigg{(}\frac{\Gamma(p+n+1)}{\Gamma(p+1)\Gamma(n+1)}\bigg{)}^{1/p}.

This will give us a contradiction. Indeed, consider the function

h(x):=xlogni=1n1log(x+ii) for x1.h(x):=x\log n-\sum_{i=1}^{n-1}\log(\frac{x+i}{i})\text{ for }x\geq 1.

Observe that

h(1)=lognlogn=0.h(1)=\log n-\log n=0.

Moreover, for x1x\geq 1,

h(x)\displaystyle h^{\prime}(x) =logni=1n11x+ilogni=2n1i>logn1n1x𝑑x=0.\displaystyle=\log n-\sum_{i=1}^{n-1}\frac{1}{x+i}\geq\log n-\sum_{i=2}^{n}\frac{1}{i}>\log n-\int_{1}^{n}\frac{1}{x}dx=0.

Here we used n2n\geq 2. Thus

h(p)=plogni=1n1logp+ii>0h(p)=p\log n-\sum_{i=1}^{n-1}\log\frac{p+i}{i}>0

since we assumed p>1p>1. From this we derive that (recall xΓ(x)=Γ(x+1)x\Gamma(x)=\Gamma(x+1))

1n+1(Γ(p+n+1)Γ(p+1)Γ(n+1))1/p\displaystyle\frac{1}{n+1}\cdot\bigg{(}\frac{\Gamma(p+n+1)}{\Gamma(p+1)\Gamma(n+1)}\bigg{)}^{1/p} =1n+1(i=1np+ii)1/p<nn+1(n+pn)1/p,\displaystyle=\frac{1}{n+1}\cdot\bigg{(}\prod_{i=1}^{n}\frac{p+i}{i}\bigg{)}^{1/p}<\frac{n}{n+1}\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p},

which is a contradiction. So we conclude. ∎

6. Relating to the dpd_{p}-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 (X,L)(X,L) be a polarized Kähler manifold. We fix a smooth Hermitian metric hh on LL such that ω:=ddcloghc1(L)\omega:=-dd^{c}\log h\in c_{1}(L) defines a Kähler form (here ddc:=12π¯dd^{c}:=\frac{\sqrt{-1}}{2\pi}\partial\bar{\partial}). As before put R:=m0RmR:=\bigoplus_{m\geq 0}R_{m} with Rm:=H0(X,mL).R_{m}:=H^{0}(X,mL). Let \mathcal{F} be a linearly bounded filtration of RR. Then \mathcal{F} 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 λ\lambda\in\mathbb{R} and xXx\in X, put

ψλ,m(x):=sup{1mlog|s|hm2(x)|sλmRm,supX|s|hm21}\psi^{\mathcal{F}}_{\lambda,m}(x):=\sup\bigg{\{}\frac{1}{m}\log|s|^{2}_{h^{m}}(x)\bigg{|}s\in\mathcal{F}^{\lambda m}R_{m},\ \sup_{X}|s|^{2}_{h^{m}}\leq 1\bigg{\}}

and

ψλ:=(limm+ψλ,m),\psi^{\mathcal{F}}_{\lambda}:=\bigg{(}\lim_{m\rightarrow+\infty}\psi_{\lambda,m}\bigg{)}^{*},

where * denotes the upper semi-continuous regularization. We call ψλ\psi_{\lambda}^{\mathcal{F}} the test curve induced by \mathcal{F}.

Note that ψλ\psi_{\lambda}^{\mathcal{F}} is non-increasing and concave in λ\lambda (since \mathcal{F} is decreasing and multiplicative).

Theorem 6.2.

[35, Corollary 7.12] Consider the Legendre transform

(6.1) φt:=(supλ{ψλ+tλ}) for t0.\varphi^{\mathcal{F}}_{t}:=\bigg{(}\sup_{\lambda\in\mathbb{R}}\{\psi^{\mathcal{F}}_{\lambda}+t\lambda\}\bigg{)}^{*}\text{ for }t\geq 0.

Then φt\varphi^{\mathcal{F}}_{t} is a weak geodesic ray emanating from 0.

By weak geodesic we mean that φt\varphi_{t}^{\mathcal{F}} satisfies certain homogeneous Monge–Ampère equation in a weak sense (cf. [35]). Note that φt\varphi_{t}^{\mathcal{F}} is in fact maximal in the sense of [2, Definition 6.5] (see [2, Example 6.9]), so we also call φt\varphi^{\mathcal{F}}_{t} the maximal geodesic ray induced by \mathcal{F}. 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 φt\varphi^{\mathcal{F}}_{t} could be rather weak. But when \mathcal{F} is a filtration induced by an test configuration (in the sense of [40]), φt\varphi^{\mathcal{F}}_{t} has C1,1C^{1,1} regularity in tt and xx variables by [35, Theorem 9.2] and [12, Theorem 1.2] (see also [34, Theorem 1.3]).

Remark 6.3.

When =v\mathcal{F}=\mathcal{F}_{v} for some vValXv\in\mathrm{Val}_{X}, we put φtv:=φtv\varphi_{t}^{v}:=\varphi_{t}^{\mathcal{F}_{v}}. When v=ordFv=\mathrm{ord}_{F} for some prime divisor FF over XX, we also write φtF:=φtordF\varphi^{F}_{t}:=\varphi^{\mathrm{ord}_{F}}_{t}. This explains the notation in Theorem 1.5.

Note that φt(x)\varphi^{\mathcal{F}}_{t}(x) is convex in tt. Dually, one further has

(6.2) ψλ=inft0{φttλ}.\psi^{\mathcal{F}}_{\lambda}=\inf_{t\geq 0}\{\varphi^{\mathcal{F}}_{t}-t\lambda\}.

See [35] for the proof.

An equivalent way of producing the geodesic ray φt\varphi^{\mathcal{F}}_{t} is by quantization approach. More precisely, for m1m\geq 1, let {am,i}1idm\{a_{m,i}\}_{1\leq i\leq d_{m}} be the set of jumping numbers of \mathcal{F} (recall (2.1)). Now consider the Hermitian inner product

Hm:=Xhm(,)ωnH_{m}:=\int_{X}h^{m}(\cdot,\cdot)\omega^{n}

on RmR_{m}. By elementary linear algebra one can find an HmH_{m}-orthonormal basis {si}1idm\{s_{i}\}_{1\leq i\leq d_{m}} of RmR_{m} such that

siam,iRm for each 1idm.s_{i}\in\mathcal{F}^{a_{m,i}}R_{m}\text{ for each }1\leq i\leq d_{m}.

Now set

φt,m:=1mlogi=1dmeam,it|si|hm2,t0.\varphi^{\mathcal{F}}_{t,m}:=\frac{1}{m}\log\sum_{i=1}^{d_{m}}e^{a_{m,i}t}|s_{i}|^{2}_{h^{m}},\ t\geq 0.

One can easily verify that φt,m\varphi^{\mathcal{F}}_{t,m} does not depend on the choice of {si}\{s_{i}\}. We call φt,m\varphi^{\mathcal{F}}_{t,m} the Bergman geodesic ray induced by \mathcal{F}. 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 δ\delta-invariants.

Theorem 6.4.

[35, Theorem 9.2] One has

φt=limm+[supkmφt,k].\varphi^{\mathcal{F}}_{t}=\lim_{m\rightarrow+\infty}\bigg{[}\sup_{k\geq m}\varphi^{\mathcal{F}}_{t,k}\bigg{]}^{*}.

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 φt\varphi^{\mathcal{F}}_{t} has linear growth.

Lemma 6.5.

One has

0φtT(L,)t for any t0.0\leq\varphi^{\mathcal{F}}_{t}\leq T(L,\mathcal{F})t\text{ for any }t\geq 0.
Proof.

We clearly have

1mlogi=1dm|si|hm2φt,m1mlogi=1dm|si|hm2+Tm(L,)t.\frac{1}{m}\log\sum_{i=1}^{d_{m}}|s_{i}|^{2}_{h^{m}}\leq\varphi^{\mathcal{F}}_{t,m}\leq\frac{1}{m}\log\sum_{i=1}^{d_{m}}|s_{i}|^{2}_{h^{m}}+T_{m}(L,\mathcal{F})t.

Meanwhile, the standard Tian–Yau–Zelditch expansion implies that

limm1mlogi=1dm|si|hm2=0.\lim_{m\rightarrow\infty}\frac{1}{m}\log\sum_{i=1}^{d_{m}}|s_{i}|^{2}_{h^{m}}=0.

So the assertion follows from the previous theorem. ∎

Lemma 6.6.

One has

φt=φt.\varphi^{\mathcal{F}_{\mathbb{N}}}_{t}=\varphi^{\mathcal{F}}_{t}.
Proof.

Recall (2.2) that \mathcal{F}_{\mathbb{N}} is the {\mathbb{N}}-filtration induced by \mathcal{F}. The jumping numbers of \mathcal{F}_{\mathbb{N}} are given by {am,i}1idm\{\lfloor a_{m,i}\rfloor\}_{1\leq i\leq d_{m}}. Let as above {si}\{s_{i}\} be an HmH_{m}-orthonormal basis such that siam,iRms_{i}\in\mathcal{F}^{a_{m,i}}R_{m} for any 1idm1\leq i\leq d_{m}. Then observe that

siam,iRmam,iRm=am,iRm for any 1idm.s_{i}\in\mathcal{F}^{a_{m,i}}R_{m}\subset\mathcal{F}^{\lfloor a_{m,i}\rfloor}R_{m}=\mathcal{F}_{\mathbb{N}}^{\lfloor a_{m,i}\rfloor}R_{m}\text{ for any }1\leq i\leq d_{m}.

So {si}\{s_{i}\} is also compatible with \mathcal{F}_{\mathbb{N}} and we have

φt,m=1mlogi=1dmeam,it|si|hm2.\varphi^{\mathcal{F}_{\mathbb{N}}}_{t,m}=\frac{1}{m}\log\sum_{i=1}^{d_{m}}e^{\lfloor a_{m,i}\rfloor t}|s_{i}|^{2}_{h^{m}}.

Then clearly

φt,mtmφt,mφt,m.\varphi^{\mathcal{F}}_{t,m}-\frac{t}{m}\leq\varphi^{\mathcal{F}_{\mathbb{N}}}_{t,m}\leq\varphi^{\mathcal{F}}_{t,m}.

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 \mathcal{F} one has

S(p)(L,)1/p=dp(0,φt)t for all t>0,S^{(p)}(L,\mathcal{F})^{1/p}=\frac{d_{p}(0,\varphi^{\mathcal{F}}_{t})}{t}\text{ for all }t>0,

where dpd_{p} 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 \mathcal{F} is an {\mathbb{N}}-filtration. Then we will prove Theorem 6.7 under the additional assumption that

φt has C1 regularity in both x and t variables.\varphi^{\mathcal{F}}_{t}\text{ has }C^{1}\text{ regularity in both }x\text{ and }t\text{ variables.}

As we have mentioned, this regularity assumption automatically holds when \mathcal{F} is induced by a test configuration, in which case \mathcal{F} is a finitely generated {\mathbb{N}}-filtrations (see [7, Section 2.5]). We will eventually drop this assumption as any linearly bounded {\mathbb{N}}-filtration can be approximated by a sequence of finitely generated {\mathbb{N}}-filtrations in a suitable sense.

Note that the time derivative φ˙t(x)\dot{\varphi}^{\mathcal{F}}_{t}(x) is well-defined for any point xXx\in X and t0t\geq 0 when φt\varphi^{\mathcal{F}}_{t} is C1C^{1}.

Lemma 6.8.

Assume that φt\varphi^{\mathcal{F}}_{t} has C1C^{1} regularity. Then for each point xXx\in X and t0t\geq 0, φ˙t(x)0\dot{\varphi}^{\mathcal{F}}_{t}(x)\geq 0.

Proof.

By convexity φ˙t(x)\dot{\varphi}^{\mathcal{F}}_{t}(x) is non-decreasing in tt, so it suffices to show that

φ˙0(x)0.\dot{\varphi}^{\mathcal{F}}_{0}(x)\geq 0.

This follows readily from the construction (see also [27, Lemma 4.2]). Indeed, by 0Rm=Rm\mathcal{F}^{0}R_{m}=R_{m} and the Tian–Yau–Zelditch expansion, one clearly has

ψ0(x)=φ0(x)=0.\psi^{\mathcal{F}}_{0}(x)=\varphi^{\mathcal{F}}_{0}(x)=0.

Thus by (6.2),

φ˙0(x)=limt0+φt(x)tlimt0+ψ0(x)t=0,\dot{\varphi}^{\mathcal{F}}_{0}(x)=\lim_{t\rightarrow 0^{+}}\frac{\varphi^{\mathcal{F}}_{t}(x)}{t}\geq\lim_{t\rightarrow 0^{+}}\frac{\psi_{0}^{\mathcal{F}}(x)}{t}=0,

as desired. ∎

The non-negativity of φ˙t\dot{\varphi}^{\mathcal{F}}_{t} makes it convenient to consider the following LpL^{p} Finsler speed of the geodesic; see the survey of Darvas [13] for more information on this subject. When φt\varphi^{\mathcal{F}}_{t} is C1C^{1}, set for p1p\geq 1

(6.3) φ˙tp:=(1VX(φ˙t)p(ω+ddcφt)n)1/p.||\dot{\varphi}^{\mathcal{F}}_{t}||_{p}:=\bigg{(}\frac{1}{V}\int_{X}(\dot{\varphi}^{\mathcal{F}}_{t})^{p}(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n}\bigg{)}^{1/p}.

Here V:=vol(L)=XωnV:=\operatorname{vol}(L)=\int_{X}\omega^{n} and (ω+ddcφt)n(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n} is understood as the non-pluripolar Monge–Ampère measure defined in [6]. Since φt\varphi^{\mathcal{F}}_{t} has linear growth, (ω+ddcφt)n(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n} also coincides with the classical definition of Bedford–Taylor [1]. As shown in [13], (6.3) is independent of tt. The dpd_{p}-distance from 0 to φt\varphi^{\mathcal{F}}_{t} is then given by

(6.4) dp(0,φt):=0tφ˙sp𝑑s.d_{p}(0,\varphi^{\mathcal{F}}_{t}):=\int_{0}^{t}||\dot{\varphi}^{\mathcal{F}}_{s}||_{p}ds.

When φt\varphi^{\mathcal{F}}_{t} lacks C1C^{1} regularity, one can still make sense of dp(0,φt)d_{p}(0,\varphi^{\mathcal{F}}_{t}) by using C1,1C^{1,1} decreasing sequence that converges to φt\varphi^{\mathcal{F}}_{t}; see [13] for detail.

Proposition 6.9.

Assume that φt\varphi^{\mathcal{F}}_{t} has C1C^{1} regularity then one has

S(p)(L,)1/p=φ˙tp for any t0.S^{(p)}(L,\mathcal{F})^{1/p}=||\dot{\varphi}^{\mathcal{F}}_{t}||_{p}\text{ for any $t\geq 0$}.
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 C1C^{1} geodesic rays, from which we deduce that for each t0t\geq 0

n!mni=1dmδam,imm+(φ˙t)(ω+ddcφt)n\frac{n!}{m^{n}}\sum_{i=1}^{d_{m}}\delta_{\frac{a_{m,i}}{m}}\xrightarrow{m\rightarrow+\infty}(\dot{\varphi}^{\mathcal{F}}_{t})_{*}(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n}

as measures on \mathbb{R}; here recall that {am,i}\{a_{m,i}\} is the set of jumping numbers of \mathcal{F}. Thus we obtain that

S(p)(L,)\displaystyle S^{(p)}(L,\mathcal{F}) =limm+Sm(p)(L,)\displaystyle=\lim_{m\rightarrow+\infty}S_{m}^{(p)}(L,\mathcal{F})
=limm+1dmi=1dm(am,im)p\displaystyle=\lim_{m\rightarrow+\infty}\frac{1}{d_{m}}\sum_{i=1}^{d_{m}}\bigg{(}\frac{a_{m,i}}{m}\bigg{)}^{p}
=1vol(L)xp(φ˙t)(ω+ddcφt)n\displaystyle=\frac{1}{\operatorname{vol}(L)}\int_{\mathbb{R}}x^{p}(\dot{\varphi}^{\mathcal{F}}_{t})_{*}(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n}
=1VX(φ˙t)p(ω+ddcφt)n.\displaystyle=\frac{1}{V}\int_{X}(\dot{\varphi}_{t}^{\mathcal{F}})^{p}(\omega+dd^{c}\varphi^{\mathcal{F}}_{t})^{n}.

This completes the proof. ∎

Thus we have shown Theorem 6.7 under the assumption that φt\varphi^{\mathcal{F}}_{t} has C1C^{1} regularity. Now we show how to drop this assumption by a standard approximation procedure.

Lemma 6.10.

Let \mathcal{F} be a linearly bounded filtration of RR. Let {m}m>0\{\mathcal{F}_{m}\}_{m\in{\mathbb{N}}_{>0}} be a sequence of filtrations of RR that satisfies

  1. (1)

    mλRm=λRm\mathcal{F}^{\lambda}_{m}R_{m}=\mathcal{F}^{\lambda}R_{m} for any m1m\geq 1 and λ0\lambda\in\mathbb{R}_{\geq 0}.

  2. (2)

    mλRkλRk\mathcal{F}^{\lambda}_{m}R_{k}\subset\mathcal{F}^{\lambda}R_{k} for any kmk\geq m and λ0\lambda\in\mathbb{R}_{\geq 0}.

Then it holds that

S(p)(L,)=limmS(p)(L,m).S^{(p)}(L,\mathcal{F})=\lim_{m\rightarrow\infty}S^{(p)}(L,\mathcal{F}_{m}).
Proof.

Observe that each m\mathcal{F}_{m} is linearly bounded by our assumption. By Proposition 2.5(2), there exists εm0\varepsilon_{m}\rightarrow 0 as mm\rightarrow\infty such that

S(p)(L,m)\displaystyle S^{(p)}(L,\mathcal{F}_{m}) (1εm)Sm(p)(L,m)=(1εm)Sm(p)(L,).\displaystyle\geq(1-\varepsilon_{m})S^{(p)}_{m}(L,\mathcal{F}_{m})=(1-\varepsilon_{m})S^{(p)}_{m}(L,\mathcal{F}).

Sending mm\rightarrow\infty we find that

lim infmS(p)(L,m)S(p)(L,).\liminf_{m\rightarrow\infty}S^{(p)}(L,\mathcal{F}_{m})\geq S^{(p)}(L,\mathcal{F}).

On the other hand, Proposition 2.5(1) yields

S(p)(L,m)=limkSk(p)(L,m)limkSk(p)(L,)=S(p)(L,),S^{(p)}(L,\mathcal{F}_{m})=\lim_{k\rightarrow\infty}S_{k}^{(p)}(L,\mathcal{F}_{m})\leq\lim_{k\rightarrow\infty}S_{k}^{(p)}(L,\mathcal{F})=S^{(p)}(L,\mathcal{F}),

so that

lim supmS(p)(L,m)S(p)(L,).\limsup_{m\rightarrow\infty}S^{(p)}(L,\mathcal{F}_{m})\leq S^{(p)}(L,\mathcal{F}).

This completes the proof. ∎

Now given any linearly bounded {\mathbb{N}}-filtration \mathcal{F} of RR, one can construct a sequence of finitely generated {\mathbb{N}}-filtrations {m}\{\mathcal{F}_{m}\} that “converges” to \mathcal{F} as follows (see also [37, 4]). For each m1m\geq 1, m\mathcal{F}_{m} is given by:

  1. (1)

    For k<mk<m,

    mpRk:={Rk for p=0,0 for p>0.\mathcal{F}^{p}_{m}R_{k}:=\begin{cases}R_{k}\ &\text{ for }p=0,\\ 0\ &\text{ for }p>0.\\ \end{cases}
  2. (2)

    For k=mk=m,

    mpRm:=pRm for p.\mathcal{F}^{p}_{m}R_{m}:=\mathcal{F}^{p}R_{m}\text{ for }p\in{\mathbb{N}}.
  3. (3)

    For k>mk>m and pp\in{\mathbb{N}},

    mpRk:=b((1Rm)b1(mTm(L,)Rm)bmTm(L,))Rkmi=1mTm(L,)bi,\mathcal{F}^{p}_{m}R_{k}:=\sum_{b}\bigg{(}(\mathcal{F}^{1}R_{m})^{b_{1}}\cdot\cdots\cdot(\mathcal{F}^{mT_{m}(L,\mathcal{F})}R_{m})^{b_{mT_{m}(L,\mathcal{F})}}\bigg{)}\cdot R_{k-m\sum_{i=1}^{mT_{m}(L,\mathcal{F})}b_{i}},

    where the sum runs through all b=(b1,,bmTm(L,))mTm(L,)b=(b_{1},...,b_{mT_{m}(L,\mathcal{F})})\in{\mathbb{N}}^{mT_{m}(L,\mathcal{F})} such that i=1mTm(L,)ibip\sum_{i=1}^{mT_{m}(L,\mathcal{F})}ib_{i}\geq p and kmi=1mTm(L,)bik\geq m\sum_{i=1}^{mT_{m}(L,\mathcal{F})}b_{i}.

Then {m}\{\mathcal{F}_{m}\} is a sequence of finitely generated {\mathbb{N}}-filtrations of RR that satisfies the conditions in Lemma 6.10. So we have

S(p)(L,)=limmS(p)(L,m).S^{(p)}(L,\mathcal{F})=\lim_{m\rightarrow\infty}S^{(p)}(L,\mathcal{F}_{m}).

Moreover, m\mathcal{F}_{m} is induced by test configurations (see [7, Section 2.5]) since each m\mathcal{F}_{m} is finitely generated, and hence the associated maximal geodesic ray φtm\varphi^{\mathcal{F}_{m}}_{t} has C1C^{1} regularity (see [34, 12]). So Proposition 6.9 yields

S(p)(L,m)1/p=dp(0,φtm)t for any t>0.S^{(p)}(L,\mathcal{F}_{m})^{1/p}=\frac{d_{p}(0,\varphi^{\mathcal{F}_{m}}_{t})}{t}\text{ for any }t>0.

Then to finish the proof of Theorem 6.7, it remains to show the following

Proposition 6.11.

There exists a subsequence {φtmj}j\{\varphi^{\mathcal{F}_{m_{j}}}_{t}\}_{j\in{\mathbb{N}}} such that for any p1p\geq 1 and t0t\geq 0,

limj0dp(φtmj,φt)=0.\lim_{j\rightarrow 0}d_{p}(\varphi^{\mathcal{F}_{m_{j}}}_{t},\varphi^{\mathcal{F}}_{t})=0.
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 FS\mathrm{FS} be the Fubini–Study map defined in [8]. Set

u:=FS(||||) and um:=FS(||||m,),u:=\mathrm{FS}(||\cdot||_{\bullet})\text{ and }u^{m}:=\mathrm{FS}(||\cdot||_{m,\bullet}),

where ||||||\cdot||_{\bullet} denotes the graded norm associated to \mathcal{F} and ||||m,||\cdot||_{m,\bullet} the graded norm associated to m\mathcal{F}_{m} (cf. [8, Section 3]). Then u1,NA(L)u\in\mathcal{E}^{1,\mathrm{NA}}(L) and umNA(L)u^{m}\in\mathcal{H}^{\mathrm{NA}}(L) are functions on the Berkovich space XanX^{\mathrm{an}}. Moreover it follows from the construction that umu^{m} is an increasing net converging to uu (in the sense of [8]). So by [9, Theorem 6.11] one has

ENA(u)=limmENA(um),E^{\mathrm{NA}}(u)=\lim_{m\rightarrow\infty}E^{\mathrm{NA}}(u^{m}),

where ENAE^{\mathrm{NA}} denote the non-Archimedean Monge–Ampère functional defined in [7, Section 7]. Note that by [2, Theorem 6.6 and Example 6.9], φt\varphi^{\mathcal{F}}_{t} is the unique maximal geodesic ray emanating from 0 that is associated to uu and likewise for each m1m\geq 1, φtm\varphi^{\mathcal{F}_{m}}_{t} is the unique maximal geodesic ray emanating from 0 that is associated to umu^{m}. Moreover by [2, Definition 6.5], {φtm}m1\{\varphi^{\mathcal{F}_{m}}_{t}\}_{m\geq 1} forms an increasing net. Now we show that there is an increasing subsequence converging pointwise to φt\varphi^{\mathcal{F}}_{t} for each t0t\geq 0. To see this, we extract an increasing subsequence {φtmj}j1\{\varphi^{\mathcal{F}_{m_{j}}}_{t}\}_{j\geq 1} and put

ψt:=limjφtmj=supjφtmj.\psi_{t}:=\lim_{j\rightarrow\infty}\varphi^{\mathcal{F}_{m_{j}}}_{t}=\sup_{j}\varphi^{\mathcal{F}_{m_{j}}}_{t}.

So in particular,

φtmjψtφt for any t0 and j1.\varphi^{\mathcal{F}_{m_{j}}}_{t}\leq\psi_{t}\leq\varphi^{\mathcal{F}}_{t}\text{ for any }t\geq 0\text{ and }j\geq 1.

Observe that by Lemma 6.5 and [13, Lemma 3.28], {φtmj}j1\{\varphi_{t}^{\mathcal{F}_{m_{j}}}\}_{j\geq 1} is an increasing dpd_{p}-bounded sequence for any fixed p1p\geq 1 and t0t\geq 0. So by [13, Lemma 3.34] we have ψtp(X,ω)\psi_{t}\in\mathcal{E}^{p}(X,\omega). Meanwhile, applying [2, Corollary 6.7] we find that

E(φt)/t=ENA(u)=limjENA(umj)=limjE(φtmj)/t for anyt>0,E(\varphi^{\mathcal{F}}_{t})/t=E^{\mathrm{NA}}(u)=\lim_{j\rightarrow\infty}E^{\mathrm{NA}}(u^{m_{j}})=\lim_{j\rightarrow\infty}E(\varphi^{\mathcal{F}_{m_{j}}}_{t})/t\text{ for any}\ t>0,

where EE denotes the classical Monge–Ampère functional (see (6.6)). So by [13, Corollary 3.39] this forces that

E(ψt)=E(φt) for any t0E(\psi_{t})=E(\varphi^{\mathcal{F}}_{t})\text{ for any }t\geq 0

and hence (by [13, Proposition 3.43]) d1(ψt,φt)=0d_{1}(\psi_{t},\varphi^{\mathcal{F}}_{t})=0. Then from [13, Proposition 3.27] we deduce that

ψt=φt for any t0.\psi_{t}=\varphi^{\mathcal{F}}_{t}\text{ for any }t\geq 0.

Thus for any t0t\geq 0, as jj\rightarrow\infty,

φtmj increasingly converges to φt.\varphi^{\mathcal{F}_{m_{j}}}_{t}\text{ increasingly converges to }\varphi^{\mathcal{F}}_{t}.

Finally by [13, Lemma 4.34] again, we conclude that

dp(φtmj,φt)0 as j,d_{p}(\varphi^{\mathcal{F}_{m_{j}}}_{t},\varphi^{\mathcal{F}}_{t})\rightarrow 0\text{ as }j\rightarrow\infty,

as desired. ∎

So the proof of Theorem 6.7 is complete.

Take p=1p=1, then Theorem 6.7 immediately implies (this should be well-known to experts):

(6.5) S(L,)=E(φt)t for all t>0,S(L,\mathcal{F})=\frac{E(\varphi^{\mathcal{F}}_{t})}{t}\ \text{ for all $t>0$},

where E()E(\cdot) is the Monge–Ampère functional defined by

(6.6) E(φ):=1(n+1)VXi=0nωni(ω+ddcφ)i.E(\varphi):=\frac{1}{(n+1)V}\int_{X}\sum_{i=0}^{n}\omega^{n-i}\wedge(\omega+dd^{c}\varphi)^{i}.

This functional is known to be linear along φt\varphi^{\mathcal{F}}_{t}.

Now assume that FF is a prime divisor over XX. Combining Proposition 5.2 with Theorem 6.7 we conclude that

(n+pn)1/pdp(0,φtF)t is non-decreasing in p.\bigg{(}\frac{n+p}{n}\bigg{)}^{1/p}\frac{d_{p}(0,\varphi^{F}_{t})}{t}\text{ is non-decreasing in $p$}.

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 φt:=Ct\varphi_{t}:=Ct for some constant C>0C>0, which is induced by the shifted trivial filtration: λRm:=Rm\mathcal{F}^{\lambda}R_{m}:=R_{m} for λCm\lambda\leq Cm and λRm:={0}\mathcal{F}^{\lambda}R_{m}:=\{0\} for λ>Cm\lambda>Cm. Then clearly φt\varphi_{t} 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 dpd_{p}-distance between two geodesic rays yields rich information in Mabuchi geometry. In our context, we may consider two linearly bounded filtrations of RR, say \mathcal{F} and \mathcal{F}^{\prime}, then it is expected that

(6.7) dp(,)=limtdp(φt,φt)t.d_{p}(\mathcal{F},\mathcal{F}^{\prime})=\lim_{t\rightarrow\infty}\frac{d_{p}(\varphi_{t}^{\mathcal{F}},\varphi_{t}^{\mathcal{F}^{\prime}})}{t}.

Here dp(,)d_{p}(\mathcal{F},\mathcal{F}^{\prime}) denotes the dpd_{p}-distance between filtrations (see [5] for the definition.). When \mathcal{F}^{\prime} is trivial, (6.7) reduces to Theorem 6.7. However, proving (6.7) in full generality seems to be a difficult problem.

References

  • [1] E. Bedford and B. A. Taylor. The Dirichlet problem for a complex Monge-Ampère equation. Invent. Math., 37(1):1–44, 1976.
  • [2] R. Berman, S. Boucksom, and M. Jonsson. A variational approach to the Yau-Tian-Donaldson conjecture. 2018. arXiv:1509.04561v2, to appear in J. Amer. Math. Soc.
  • [3] H. Blum and M. Jonsson. Thresholds, valuations, and K-stability. Adv. Math., 365:107062, 57, 2020.
  • [4] H. Blum and Y. Liu. Openness of uniform K-stability in families of \mathbb{Q}-Fano varieties. 2018. arXiv:1808.09070, to appear in Ann. Sci. Éc. Norm. Supér.
  • [5] S. Boucksom and D. Eriksson. Spaces of norms, determinant of cohomology and Fekete points in non-Archimedean geometry. Adv. Math., 378:107501, 124, 2021.
  • [6] S. Boucksom, P. Eyssidieux, V. Guedj, and A. Zeriahi. Monge-Ampère equations in big cohomology classes. Acta Math., 205(2):199–262, 2010.
  • [7] S. Boucksom, T. Hisamoto, and M. Jonsson. Uniform K-stability, Duistermaat-Heckman measures and singularities of pairs. Ann. Inst. Fourier (Grenoble), 67(2):743–841, 2017.
  • [8] S. Boucksom and M. Jonsson. A non-Archimedean approach to K-stability. 2018. arXiv:1805.11160.
  • [9] S. Boucksom and M. Jonsson. Singular semipositive metrics on line bundles on varieties over trivially valued fields, 2018. arXiv:1801.08229.
  • [10] I. Cheltsov and C. Shramov. Log-canonical thresholds for nonsingular Fano threefolds, with an appendix by J.-P. Demailly. Uspekhi Mat. Nauk, 63(5(383)):73–180, 2008.
  • [11] I. A. Cheltsov, Y. A. Rubinstein, and K. Zhang. Basis log canonical thresholds, local intersection estimates, and asymptotically log del Pezzo surfaces. Selecta Math. (N.S.), 25(2):25:34, 2019.
  • [12] J. Chu, V. Tosatti, and B. Weinkove. C1,1C^{1,1} regularity for degenerate complex Monge-Ampère equations and geodesic rays. Comm. Partial Differential Equations, 43(2):292–312, 2018.
  • [13] T. Darvas. Geometric pluripotential theory on Kähler manifolds. In Advances in complex geometry, volume 735 of Contemp. Math., pages 1–104. Amer. Math. Soc., Providence, RI, 2019.
  • [14] T. Darvas and C. H. Lu. Geodesic stability, the space of rays and uniform convexity in Mabuchi geometry. Geom. Topol., 24(4):1907–1967, 2020.
  • [15] T. Darvas and M. Xia. The closures of test configurations and algebraic singularity types, 2020. arXiv:2003.04818.
  • [16] R. Dervan. Relative K-stability for Kähler manifolds. Math. Ann., 372(3-4):859–889, 2018.
  • [17] R. Dervan and G. Székelyhidi. The Kähler-Ricci flow and optimal degenerations. J. Differential Geom., 116(1):187–203, 2020.
  • [18] S. K. Donaldson. Lower bounds on the Calabi functional. J. Differential Geom., 70(3):453–472, 2005.
  • [19] L. Ein, R. Lazarsfeld, M. Mustaţă, M. Nakamaye, and M. Popa. Restricted volumes and base loci of linear series. Amer. J. Math., 131(3):607–651, 2009.
  • [20] K. Fujita. Optimal bounds for the volumes of Kähler-Einstein Fano manifolds. Amer. J. Math., 140(2):391–414, 2018.
  • [21] K. Fujita. K-stability of Fano manifolds with not small alpha invariants. J. Inst. Math. Jussieu, 18(3):519–530, 2019.
  • [22] K. Fujita. Uniform K-stability and plt blowups of log Fano pairs. Kyoto J. Math., 59(2):399–418, 2019.
  • [23] K. Fujita. A valuative criterion for uniform K-stability of \mathbb{Q}-Fano varieties. J. Reine Angew. Math., 751:309–338, 2019.
  • [24] K. Fujita and Y. Odaka. On the K-stability of Fano varieties and anticanonical divisors. Tohoku Math. J. (2), 70(4):511–521, 2018.
  • [25] J. Han and C. Li. Algebraic uniqueness of Kähler-Ricci flow limits and optimal degenerations of Fano varieties, 2020. arXiv:2009.01010.
  • [26] W. He. Kähler-Ricci soliton and HH-functional. Asian J. Math., 20(4):645–663, 2016.
  • [27] T. Hisamoto. On the limit of spectral measures associated to a test configuration of a polarized Kähler manifold. J. Reine Angew. Math., 713:129–148, 2016.
  • [28] R. Lazarsfeld. Positivity in algebraic geometry. II, volume 49 of Ergebnisse der Mathematik und ihrer Grenzgebiete. 3. Folge. A Series of Modern Surveys in Mathematics [Results in Mathematics and Related Areas. 3rd Series. A Series of Modern Surveys in Mathematics]. Springer-Verlag, Berlin, 2004. Positivity for vector bundles, and multiplier ideals.
  • [29] R. Lazarsfeld and M. Mustaţă. Convex bodies associated to linear series. Ann. Sci. Éc. Norm. Supér. (4), 42(5):783–835, 2009.
  • [30] C. Li. Geodesic rays and stability in the cscK problem, 2020. arXiv:2001.01366, to appear in Ann. Sci. Éc. Norm. Supér.
  • [31] C. Li, G. Tian, and F. Wang. The uniform version of Yau-Tian-Donaldson conjecture for singular Fano varieties. 2019. arXiv:1903.01215.
  • [32] Y. Odaka and Y. Sano. Alpha invariant and K-stability of \mathbb{Q}-Fano varieties. Adv. Math., 229(5):2818–2834, 2012.
  • [33] D. H. Phong and J. Sturm. Test configurations for K-stability and geodesic rays. J. Symplectic Geom., 5(2):221–247, 2007.
  • [34] D. H. Phong and J. Sturm. The Dirichlet problem for degenerate complex Monge-Ampère equations. Comm. Anal. Geom., 18(1):145–170, 2010.
  • [35] J. Ross and D. Witt Nyström. Analytic test configurations and geodesic rays. J. Symplectic Geom., 12(1):125–169, 2014.
  • [36] Y. A. Rubinstein, G. Tian, and K. Zhang. Basis divisors and balanced metrics, 2020. arXiv:2008.08829, to appear in J. Reine Angew. Math.
  • [37] G. Székelyhidi. Filtrations and test-configurations. Math. Ann., 362(1-2):451–484, 2015. With an appendix by Sebastien Boucksom.
  • [38] G. Tian. On Kähler-Einstein metrics on certain Kähler manifolds with C1(M)>0C_{1}(M)>0. Invent. Math., 89(2):225–246, 1987.
  • [39] G. Tian, S. Zhang, Z. Zhang, and X. Zhu. Perelman’s entropy and Kähler-Ricci flow on a Fano manifold. Trans. Amer. Math. Soc., 365(12):6669–6695, 2013.
  • [40] D. Witt Nyström. Test configurations and Okounkov bodies. Compos. Math., 148(6):1736–1756, 2012.
  • [41] C. Xu. A minimizing valuation is quasi-monomial. Ann. of Math. (2), 191(3):1003–1030, 2020.
  • [42] K. Zhang. Continuity of delta invariants and twisted Kähler–Einstein metrics, 2020. arXiv:2003.11858.