An Inner Product on Adelic Measures
With Applications to the Arakelov–Zhang Pairing
Abstract.
We define an inner product on a vector space of adelic measures over a number field. We find that the norm induced by this inner product governs weak convergence at each place of . The canonical adelic measure associated to a rational map is in this vector space, and the square of the norm of the difference of two such adelic measures is the Arakelov–Zhang pairing from arithmetic dynamics. We find that the norm of a canonical adelic measure associated to a rational map is commensurate with a height on the space of rational functions with fixed degree. As a consequence, we show that the Arakelov–Zhang pairing of two rational maps and is, when holding fixed, commensurate with the height of .
1. Introduction
Let be a number field and let be the set of places of . By an adelic measure, we mean a sequence of suitably regular complex-valued measures indexed by the places of . At the finite places of , each measure is supported on the Berkovich projective line and is supported on the Riemann sphere at the infinite places. We also impose two global conditions on adelic measures, namely that the collection of measures has constant total mass, and that is trivial for all but finitely many places; precise definitions are deferred to Section 3. The collection of such adelic measures forms complex vector space, which we denote by .
The principal example of an adelic measure is the canonical adelic measure of a rational map defined over . This adelic measure encodes a good amount of information on the -adic Julia sets of , and so defines an important dynamical invariant. For example, the preperiodic points of distribute according to at each place. When is an Archimedean place, is the measure investigated for polynomials by Brolin [Bro65], and for rational maps by Ljubich [Lju83] and by Freire, Lopes, and Mañé, [FLM83]. For non-Archimedean places, this measure was introduced independently by several authors, including Baker–Rumely [BR06], Chambert-Loir [Cha06], and Favre–Rivera-Letelier [FR06].
We equip with the following pairing. Fix an adelic probability measure . At each place we let be an Arakelov–Green’s function of . (See Section 2 for the definition). We choose a normalization of so that
and require for all but finitely many , and that , where is the ratio of local to global degrees. Inspired by the work of Favre–Rivera-Letelier and of Baker-Rumely (discussed below), given two adelic measures we define
For example, take the Arakelov adelic measure, . At Archimedean places , is the spherical measure, and is trivial at finite places (see (2.2)). An Arakelov–Green’s function for which satisfies the above conditions is , where is a continuous extension of the projective metric on to . (This is called the spherical kernel in the book by Baker and Rumely [BR10]). It is not hard to check that for Archimedean and is for non-Archimedean ; thus and so
Our first theorem is that this pairing is an inner product, and that, in most situations of interest, convergence in the norm induced by this inner product gives weak convergence at each place.
Theorem 1.1.
Fix an adelic probability measure and a normalization of Arakelov–Green’s functions as above. Then map is an inner product on . Furthermore, if with for all , then implies weakly at each place.
Similar potential theoretic pairings are used by both Favre–Rivera-Letelier and Baker–Rumely in connection with their respective proofs of the adelic equidistribution theorem [FR06],[BR06]. The novelty of Theorem 1.1 is that is positive definite for adelic measures of arbitrary mass. In particular, the pairing should perhaps be viewed as a modest extension of the potential theoretic pairings investigated by Favre–Rivera-Letelier and Baker–Rumely. The following comparisons between the height of a rational map and the norm of the canonical adelic measure of are the primary new results of this article.
Theorem 1.2.
The map is a Weil height on the space of monic polynomials of degree defined over .
The proof of Theorem 1.2 relies on studying the -adic Julia sets of at each place, and uses escape rate arguments to bound in terms of the height of the coefficients of . Such arguments do not apply to rational maps. However, our main theorem shows that is at least commensurate with a height on , the space of rational maps with degree defined over .
Theorem 1.3.
Let be a Weil height on . There are positive constants depending only on , and so that for all . Moreover as and grow linearly in .
These constants are given explicitly in the case of the Arakelov height of the coefficients of and (see (5.9)). The main idea of the proof of Theorem 1.3 is that while can be quite complicated, cannot be too far from the norm of the pull-back of the Arakelov measure . It turns out that is a Weil height on , a result of potential interest in its own right (see Section 5 for details). Combining these two results with the observation that is never too far from (Proposition 3.2) gives the theorem.
Suppose we have two rational maps of degree at least two. The Arakelov–Zhang pairing (also called the dynamical height pairing), denoted here by , is a symmetric, non-negative pairing which in some sense is a dynamical distance between and . It is closely related to the Call–Silverman canonical heights of and : the pairing vanishes precisely when the canonical heights of and are equal, or, equivalently, when and have the same canonical adelic measure (see [PST12], Theorem 3). To some extent, the Arakelov–Zhang pairing measures how similar the -adic Julia sets of two rational maps and are at all places of a number field.
The Arakelov–Zhang pairing is not a metric on rational maps; however, Fili (Theorem 9, [Fil17]) has discovered that it is expressible as the square of a metric on adelic measures. Specifically, Fili showed that the Arakelov-Zhang pairing is equal to the mutual energy pairing:
where
Here, is a continuous extension of on to and is the diagonal of in . (For Archimedean , is the usual affine distance .) This formulation of the dynamical height pairing has been useful in studying unlikely intersection questions; see, for example, [DKY20]. The mutual energy pairing itself was introduced by Favre and Rivera-Letelier in connection with a quantitative form of the adelic equidistribution theorem [FR06]. Our inner product could be understood as a mutual energy pairing relative to a fixed adelic probability measure .
While quite closely related, our inner product and the mutual energy pairing are distinct on . For instance, the mutual energy pairing is not an inner product on adelic measures of arbitrary mass. Indeed, it follows from a result of Baker–Hsia that if is a polynomial defined over , then (Theorem 4.1 of [BH05]). However, the mutual energy pairing and our inner product do agree on adelic measures of total mass zero. We may then consider our inner product to be an extension of the mutual energy pairing from the space of adelic measures of total mass zero to . It therefore follows from Theorem 9 of [Fil17] and Theorem 1 of [PST12] that if and are the canonical adelic measures of two rational maps and then
| (1.1) |
It is a straightforward consequence of Theorem 1.3 and (1.1) that, when is fixed, the Arakelov–Zhang pairing is commensurate with the height of .
Corollary 1.4.
Let be a Weil height on . Fix a rational map defined over with degree at least . For any rational map defined over with , there are positive constants so that
where depend only on and tend to as , and where depend on both ,, and . If is a monic polynomial then
where the implied constants depend on , , and .
Bounds on the Arakelov–Zhang pairing of certain families of rational maps with the power map are studied by Petsche, Szpiro, and Tucker; one such bound, which is generalized by Corollary 1.4, is [PST12]. The lower bound , where is the Call–Silverman canonical height of a rational map , has been shown by Bridy and Larson [BL21]. Perhaps the strongest known comparisons between the dynamical height pairing and a height on rational maps have been shown by DeMarco, Krieger, and Ye. In [DKY20], they show that for a certain family of Latès maps associated to an elliptic curve written in Legendre form with parameter . In a similar spirit, they show that [DKY22]. These estimates are stronger than those of Corollary 1.4, though they hold in specific families of rational maps. It is immediate from Corollary 1.4 and the Northcott property of heights that can be bounded from below by constant depending on one of the rational maps.
Corollary 1.5.
Fix a rational map of degree , defined over . There is a positive constant depending on and so that for any rational map defined over with degree , .
A uniform lower bound on with and , is given by DeMarco, Krieger, and Ye ([DKY22], Theorem 1.6). They use this lower bound on the Arakelov–Zhang pairing to prove a uniform upper bound on the number of preperiodic points shared by and . It is to be hoped that the lower bound of Corollary 1.5 has analogous implications for the number of common preperiodic of two rational maps of degree , but we do not explore this possibility here.
Remark 1.
The estimates of Theorems 4.1 and 1.3 give estimates on when is the canonical adelic measure associated to a rational map . It is natural to wonder if the norm of a general adelic measure can be estimated, or at least bounded from below. It is a formal consequence of the definitions that for any adelic probability measure ; see Corollary 3.4. There is a class of adelic probability measures for which better lower bounds are possible. We say that an adelic measure has points of small height if there is a sequence of distinct point for which as , where is the Favre–Rivera-Letelier height of . For example, every canonical adelic measure associated to a rational map of degree at least has small points (indeed, if and only if is preperiodic). For such measures, it is straightforward to show that with equality if and only if . See Proposition 5.12 for details.
1.1. Outline
We discuss the notation and tools needed in the next section. Section 3 contains the proof of Theorem 1.1. Section 4 has the proof of Theorem 1.2. Section 5 contains the proof of 1.3 and of Corollary 1.5. Section 6 contains some examples where the norm can be computed or bounded explicitly. Here we obtain exact expressions for the norm (with respect to the Arakelov measure) associated to Chebyshev polynomials, and for the norm associated to power maps after an affine change of variables. We also see that the norm associated to a certain family of Lattès maps can be bounded in a stronger way than the general bounds of Theorem 1.3 for rational maps.
1.2. Acknowledgements
Many of the results of this article have appeared in my PhD thesis [Obe23], which was written at Oregon State University. To my advisor, Clayton Petsche, I owe my deepest thanks. I am also very grateful to the anonymous referee for several insightful comments and useful suggestions.
2. Preliminaries
Fix a number field and let be the set of places of . Let be the completion of a fixed algebraic closure of . We denote by the absolute value on whose restriction to coincides with the usual real or -adic absolute value. Let be the ratio of local-to-global degrees. It it well known that satisfies the product formula, which states that for all . Moreover the extension formula reads , where is a finite extension of , and where means that lies above (so for all ). We write for the set of non-Archimedean places of and for the Archimedean places.
Of central importance to this article is the v-adic chordal metric, . In homogeneous coordinates and the chordal metric is given by
It is well known that is a metric on , and that when is not Archimedean, then satisfies the strong triangle inequality (see, for example, chapters 1 and 3 of [Sil07]). For non-Archimedean , there is a continuous extension of to called the spherical kernel which we denote again by . The spherical kernel is not a metric on ; indeed, the Gauss point satisfies for all . See Proposition 4.7 of [BR10] for more properties of the spherical kernel.
There is an analogous extension of the absolute value on to the Berkovich affine line, , which, following [BR10], we refer to as the Hsia Kernel, which we will write as . (In [BR10], this is written to distinguish the Hsia kernel from the generalized Hsia kernel. In the work of Favre and Rivera-Letelier, this extension is written .) Similar to the classical relationship between the affine distance on and the chordal metric, we have
| (2.1) |
for any two points . We will also write for the affine distance on when is Archimedean.
2.1. The Measure-valued Laplacian
Given a sufficiently regular function , the measure-valued Laplacian is a an operator which assigns to a Radon measure on of total mass (Chapter 5, [BR10]). When is Archimedean, we identify with the Riemann Sphere . In this case, the measure valued Laplacian is defined for twice continuously differentiable functions by , where and . We then extend in a distributional sense. When is non-Archimedean, the measure-valued Laplacian is first defined on finitely branching subgraphs of , and then extended to functions which satisfy appropriate coherence conditions. Following [BR10], we denote by the space of functions of bounded differential variation on ; in a certain sense, this is the largest class of functions for which the measure-valued Laplacian can be defined. For Archimedean , we will also use the notation to denote those functions whose distributional Laplacian also defines a Radon measure; in particular, this class contains the sub-harmonic functions ([Ran95], Theorem 3.7.2). We record the standard properties of the Laplacian in the following proposition.
Proposition 2.1.
Fix and let be in . The measure valued Laplacian has the following properties:
-
(1)
The Laplacian is self-adjoint: whenever is -integrable and is -integrable;
-
(2)
if , then and differ by a constant;
-
(3)
with equality if and only if is constant.
When is Archimedean, these are standard facts which follow from Green’s identities. See Corollary 5.38 of [BR10] for a proof of the non-Archimedean case.
2.2. Local Potential Theory
Given a complex Radon measure on , the (local) potential of is the function defined by
supposing that the integrand is -integrable for all . We say that has continuous potential if is continuous. For each place set
| (2.2) |
where is the Lebesgue measure on and is the point mass concentrated at the Gauss point . For Archimedean , a straightforward computation shows that is invariant under the action of the unitary group on .
Proposition 2.2.
Let and let be a signed Radon measure on with continuous potential . Then and .
Proof.
For non-Archimedean , the proposition is Examples 5.19 and 5.22 of [BR10]. For Archimedean , Theorem 1.5 of [Lan85] states that . Thus, if is a smooth test function, then
where the use of Fubini’s theorem in the second line is justified as is continuous, hence -integrable, and where the distributional equation is used in the third line. Consequently for Archimedean as well. ∎
Given a probability measure on with continuous potential , an Arakelov–Green’s function of is a map which is symmetric, continuous off of the diagonal of and satisfies the distributional equation . These conditions determine up to an additive constant. In terms of the potentials , is given by the expression
| (2.3) |
where is a constant (p. 241 of [BR10]). For example, an Arakelov–Green’s function of is , a fact which follows from the distributional equation .
3. Adelic Measures
We come to the main object of study in this article. We adopt the convention that complex or real valued measures have finite total variation.
Definition 3.1.
An adelic measure defined over is a sequence indexed by places so that:
-
(1)
For each , is a complex-valued Radon measure on ;
-
(2)
There is a constant so that for all ;
-
(3)
For all but finitely many , ;
-
(4)
has continuous potentials for all .
We say that an adelic measure is a signed, probability or positive adelic measure if each is a signed, probability or positive measure respectively. We write instead of the more cumbersome for the local potential of . Likewise we will write for the Arakelov–Green’s function of . The total mass of an adelic measure is defined to be the constant . We denote by the complex vector space of all proper complex adelic measures with continuous potentials, and by the subspace consisting of those adelic measures with total mass .
Observe that if is an adelic measure with for signed measures at each place, then and are again (signed) adelic measures. Indeed, so that has continuous potentials at each place ; moreover so that is a constant independent of . So is a signed adelic measure. Similar remarks apply to .
The primary examples of adelic probability measures in relevant to arithmetic dynamics are the adelic canonical measures associated to a rational map, which can be defined as the weak (really, weak-) limit of the sequence of normalized pull-backs of the Arakalov measure (or, any other measure with continuous potentials). It follows from this definition that ; in fact, is the unique log-continuous probability measure satisfying this equation (Theorem (d) in [FLM83], Théorème A in [FR10]). As shown in [FR04], precisely when has good reduction, and so for all but finitely many . That has continuous potentials (in fact, Holder continuous) is also due to Favre and Rivera-Letelier for non-Archimedean , and due to Mañé for Archimedean [Mañ06]. So is indeed an element of .
3.1. A Family of Inner Products
Fix an adelic probability measure . At each place , let be the Arakelov–Green’s function of , normalized so that
| (3.1) |
at each place, and where for all but finitely many , and . Given adelic measures , define
and
| (3.2) |
Note that exists as have continuous potentials. Moreover, that and for all but finitely many , and also that implies for all but finitely many places . So the sum (3.2 defining is finite. Notice that is linear in the first coordinate and is conjugate-symmetric; consequently so is .
We write and . It follows from our choice of normalization of that
and so
Our first theorem describes the properties of this pairing and shows that it is an extension of the mutual energy pairing investigated by Favre and Rivera-Letelier, and by Fili. We adopt the terminology common in probability and say that a sequence of (signed or complex-valued) Radon measures converges weakly to a measure if for all continuous .
Theorem 3.1.
Let be an adelic probability measure, and, at each place , choose a normalization of as in (3.1). Then defines an inner product on which agrees with the mutual energy pairing on . Moreover, if with and if , then converges weakly to .
3.2. Proof of Theorem 3.1
Rather than studying the whole family of pairings , it will be convenient to study one particular pairing. Proposition 3.2 shows that there is little loss of generality in doing so.
Given in , set
and
| (3.3) |
We will write and .
This is the pairing associated to with . Thus
To see this, note that . For non-Archimedean , and . For Archimedean , a straightforward computation, using the invariance of both the projective metric and under the action of on , shows that . Therefore , where we have used the fact that .
Proposition 3.2.
Let be an adelic probability measure, and choose a normalization of Arakelov–Green’s functions as in (3.1). Then
-
(1)
for any ;
-
(2)
there is a constant depending only on so that whenever and are positive adelic measures.
We remark that item (1) shows that depends only on and not on the specific normalization of at each place.
Proof.
It is a formal consequence of (2.3) that
and so
| (3.4) |
Note that , and similarly that . By (3.4), we have
where we have used the linearity and conjugate-symmetry of several times. Multiplying by and summing over all places of gives item (1).
For (2), note that as is continuous on , (2.3) implies that there is a constant so that
| (3.5) |
for all . Moreover, when , . Therefore for all but finitely many . So, if are positive adelic measures, then integrating (3.5) at each place gives . Therefore, using the fact that is non-negative, we have . Multiplying by and summing over all places of gives item (2) with . ∎
For the remainder of this section, fix an adelic probability measure and a normalization of at each place . The next proposition will allow us to use the positive definiteness of the mutual energy pairing on to deduce the positive definiteness of .
Proposition 3.3.
For any , we have . In particular, whenever .
Proof.
Let and be adelic measures. We assume first that . That and are log-continuous Radon measures on implies that and do not charge the point at infinity; moreover . By (2.1), we have
where we have used the assumption . Multiplying by and summing over all places shows that when and have total mass .
Now, assuming that and have arbitrary mass and , we apply the above result to and and invoke item (1) of Proposition (3.2) to find
∎
Remark 2.
If is taken to be the canonical adelic measure of a rational map with degree at least , and if is another rational map of degree at least , then Proposition 3.3 gives the following relationship between and the Arakelov–Zhang pairing:
| (3.6) |
where, as remarked in the introduction, the last equality is due to Fili (Theorem 9, [Fil17]).
Corollary 3.4.
For all , with equality if and only if .
Proof.
Propositions 2.6 and 4.5 of [FR06] state that if is a signed measure of total mass on , then , with equality if and only if . See also Theorem 8.72 of [BR10] and Theorem 5.3 of [BR06]. Consequently, if is a signed adelic measure then Proposition 3.3 implies with equality if and only if . We recall that if is a complex-valued adelic measure, say at each place, then and are signed adelic measures. Therefore
Now with equality if and only if ; similar remarks apply to . Thus
with equality if and only if and . That is, equality holds if and only if . ∎
It follows from Corollary 3.4 that with equality if and only if . Thus is positive-definite on . Since is linear in the first coordinate and conjugate symmetric, then we have shown that is an inner product on . Proposition 3.3 shows that extends the mutual energy pairing to . To finish the proof of Theorem 3.1 we need only show the statement on weak convergence. We remark that Favre and Rivera-Letelier show a more general statement which holds for differences of probability measures; see Propositions 2.11 and 4.12 of [FR06]. We denote by the total variation of a complex valued measure on .
Proposition 3.5.
Let and suppose that as . Let . Then:
-
(1)
For every , as ;
-
(2)
If then weakly as .
Proof.
By Replacing with , we assume that . We note that it suffices to prove the proposition with in place of . Indeed, by Proposition 3.2, if then as ; so and both tend to as goes to infinity. Then the triangle inequality implies So implies .
Let , and let . In both non-Archimedean and Archimedean cases, is a dense subspace of (Proposition 5.4 and Example 5.18 of [BR10] when ; for , this is well known - in fact, includes the smooth functions for Archimedean ).
That implies that exits, and, from Propositions 2.2, 2.1, we have
so that differs from by a constant. In particular is continuous. By Proposition 2.2, and therefore
As , the local form is always at least positive semi-definite; in particular, the Cauchy-Schwarz inequality applies. Thus and so
From Corollary 3.4, that implies as , and by assumption also tends to as . Consequently for all , which shows the first statement. The second statement follows from the first and from the fact that is dense in . ∎
Remark 3.
It is easy to see that weak convergence at each place does not give convergence in the norm of . Here is a simple illustration. For each place , let be any log-continuous Radon measure of total mass with . Enumerating the places of by (, let be the adelic measure which is the zero measure at all places and . Then for all , yet weakly at each place.
The following observation will be useful in the following section.
Proposition 3.6.
Let be an adelic probability measure with . Then . In particular, whenever is a polynomial.
4. Comparison With the Arakelov Height: Monic Polynomials
In both this section and the next, the pull-back of a measure on by a rational map will play an important role. We briefly summarize the discussion in chapter 9 of [BR10]. Given a rational map defined over and a continuous function defined on of , where is a subset of , the push-forward of by is the function . Here is an extension of the notion of algebraic multiplicity to . In particular, if and are the roots of counting multiplicity, then . The function is defined and continuous on . Given a Radon probability measure on , the pull-back of by , written , is defined to be the unique Radon measure with . From this definition and the fact that for all we find that , where is the usual push-forward of a measure . For proofs of these claims, see chapter 9 of [BR10]. We recall that the canonical measure of on is characterized among log-continuous probability measures by .
The Arakelov height of a rational map of degree is the Arakelov height of the coefficients of , viewed as a point in projective space. Thus, if (where one of or is non-zero) is defined over , then , where
In particular, if is a monic polynomial defined over , then for Archimedean and at finite places of . The main theorem of this section is the following estimate on the norm when is a monic polynomial.
Theorem 4.1.
Let be a monic polynomial of degree defined over . Then , where the implied constants depend only on .
This and the second item of Proposition 3.2 imply Theorem 1.2 from the introduction. The strategy for proving Theorem 4.1 is to make use of the (classical) filled Julia set, which, following [Ben19], we denote by . This is defined to be those elements of which are bounded under iteration by , hence . When is Archimedean, this is the usual filled Julia set from complex dynamics. For finite places , this consists of the Type I points of the Berkovich filled Julia set, , which is defined by
At each place , the Julia set can be defined as the topological boundary of . As in the classical case, is supported on . We can therefore control the norm via escape rate arguments at each place. Namely, we employ escape rate arguments to prove the following.
Lemma 4.2.
Let be a monic polynomial of degree defined over and let . Let be the polynomial . There are positive constants and depending only on the degree so that . Furthermore, when is non-Archimedean.
We defer the proof of Lemma 4.2 to the end of this section. We will also need to know how the roots of a monic polynomial are related to the quantities .
Lemma 4.3.
Let be a monic polynomial of degree defined over . Factor over as . There are positive constants and depending only on the degree so that . Furthermore, when is non-Archimedean
This is proved as part of Theorem VIII.5.9 of [Sil09]. (Silverman uses at the infinite places, but, with minor modifications, the same proof works with instead of .) We turn to the proof of Theorem 4.1.
Proof of Theorem 4.1.
By Proposition 3.6, we have . The characterizing equation implies
| (4.1) |
Thus, it suffices to bound in terms of .
Suppose that is non-Archimedean. Define by . Then is continuous on . That fixes the point at infinity implies that the push forward is also continuous on . Let . Factor over as , counting multiplicities. Then . Apply Lemma 4.3 to the polynomial to conclude that . From Lemma 4.2, then That is dense in implies that is dense in . Thus is a continuous function which is equal to the constant on a dense subset of . Hence for all . As , then .
The Archimedean case is similar: let and factor over as , counting multiplicities. By Lemmas 4.3 and 4.2 we find that and that ; therefore . As , we simply integrate this with respect to to find , where, as in the statements of Lemmas 4.3 and 4.2, the implied constants depend only on the degree of . Multiplying by , summing over all places, and applying (4.1) gives the theorem. ∎
Proof of Lemma 4.2.
Suppose . An elementary escape rate argument shows that for all . Thus, if for some , then and . So . Hence
Similarly, if then . So assume and for . We claim that then . Indeed, if then for so that (by the equality case of the strong triangle inequality). Iterating this equation shows that so that . Thus and so ; it follows that .
We turn to the Archimedean case. To ease notation, we omit the dependence on . The quantity is more amenable to study than . Clearly , and, by Jensen’s inequality applied to the map , we find that . So it is enough to show that the lemma holds at Archimedean places with in place of .
An easy escape rate argument shows that for in the filled Julia set. By the triangle inequality
which gives the upper bound. For the lower bound, we break into cases depending on the size of the constant term. Suppose that , where is an absolute constant to be determined later. Thus , which implies
So assume that . We claim that then . Suppose to the contrary that . Then , as and . Now
That implies
Now choose to be the smallest real root of ; i.e., . Then and so that
where the final inequality is by assumption on . Therefore
Iterating this inequality shows that as . But this contradicts being in the filled Julia set. So in this case, hence . Consequently
Thus, regardless of the size of the constant term, we have .
∎
5. Comparison with the Arakelov Height: Rational Maps
We turn to our main theorem (Theorem 1.3).
5.1. An Adjoint Formula
We define the pull-back and push-forward of an adelic measure
coordinate-wise: and . It is useful to know how the pull-back and push-forward interact with our inner product. For measures of total mass zero, the push-forward and pull-back are adjoints of each other.
Proposition 5.1.
Suppose that and are in . If is a non-constant rational map defined over then . In particular, .
5.2. Comparison with the pull-back of the Arakelov Measure.
The Arakelov height of a given rational map in some sense measures the arithmetic complexity of . It is therefore natural to wonder if the norm of , which is a measure of arithmetic-dynamical size, can be related to Arakelov height of . It turns out that can be bounded in terms of the Arakelov height of .
Theorem 5.2.
Let be a rational map of degree , defined over a number field . There are positive constants depending only on the degree of so that
Moreover as and grow linearly in .
As for any Weil height on , with the implied constants depending on and , Theorem 5.2 and Proposition 3.2 imply Theorem 1.3 from the introduction. When examining the norm associated to monic polynomials, we could deduce information on via the filled Julia sets at each place. In the case of rational maps, such tools are not available and we are forced to take a more circuitous route in proving Theorem 5.2. Rather than working with the norm of directly, we instead study the pull-back of the Arakelov adelic measure by . As the following simple lemma shows, the norms of these two adelic measures are never too far apart.
Lemma 5.3.
Let be the canonical adelic measure of a rational map defined over with degree . Then
| (5.2) |
Proof.
From Proposition 5.1 and the fact that , we have
Now , by Proposition 3.2. (Recall that .) So the triangle inequality gives
Simple manipulation of this inequality shows that
Squaring these inequalities gives (5.2).
∎
So, to prove Theorem 5.2, it suffices to bound in terms of the Arakelov height of .
5.3. Bounds on the pull-back of the Arakelov Measure
We are going to prove a fact which may be of interest in its own right: for , , with implied constants depending only on . The strategy is to compare with at each place of . At finite places, we obtain an exact formula (Lemma 5.6), and at Archimedean places we obtain an integral representation which is easily bounded in terms of the Archimedean contribution to (Propositions 5.8 and 5.9). We begin by fixing some notation. Write
where at least one of or is non-zero and where and have no common zero. Set and , and . So is the leading coefficient of and is the leading coefficient of . For non-Archimedean places we write for the continuous extension of the -adic absolute value on to . Explicitly, , where is the Hsia kernel from Section 2. Equivalently, , where is viewed as a seminorm on (see chapters 1 and 2 of [BR10] for the semi-norm definition of Berkovich spaces). The following consequence of Jensen’s formula and its non-Archimedean analogue will be central to what follows.
Proposition 5.4.
Let and let . Then
Proof.
The proposition is trivial if , so assume is non-zero. Suppose is non-Archimedean. Then , and so
Suppose that is Archimedean and that . We write in polar coordinates, suppress the dependence on , and apply Jensen’s formula:
Applying the above computation to finishes the proof. ∎
We define a function by
For non-Archimedean places , . Of course, depends on how and are normalized; as we will summing over all places in the end, this will be irrelevant due to product formula. That is log-continuous implies exists for any . With the preliminaries dealt with, we turn to the following key lemma, which relates the pull-back by with our potential kernel . We phrase this lemma so that it holds at all places.
Lemma 5.5.
Write as above. Fix elements and of with , and with not equal to . For , let and be respectively the roots of and as polynomials in , counting multiplicities. Then
Proof.
The proof is a straightforward, albeit rather tedious, computation. Note as and have no common zero. That implies both and are not zero. Moreover, the polynomials and both have degree ; for if not, then either or would equal . Factor and over as
where and . By definition of ,
and, as ,
Factor over as . Then
Thus
| (5.3) |
Now assume that . By Proposition 5.4
Similarly, . As and are in , then combining (5.3) with the expression for in affine coordinates yields
where . Now if then . If then and so that . Thus , which proves the lemma for non-Archimedean . The argument for Archimedean places is similar. From Proposition 5.4
likewise . Combining this with Equation 5.3 shows that
where, as in the non-Archimedean case, the terms involving cancel and . ∎
5.4. Non-Archimedean Considerations
At finite places , we have an explicit relationship between and .
Lemma 5.6.
For all , .
Conceptually, the strategy for proving Lemma 5.6 is straightforward: we are going to take the limit as of the expression in Lemma 5.5. However, because is not continuous on , some care is needed in how we carry out this limiting process. We start with a simple proposition. We recall that the Berkovich projective line over the -adic complex numbers is metrizable (Corollary 1.20 of [BR10]). Thus we may work with sequences rather than nets.
Proposition 5.7.
Suppose that with . Then .
Proof of Lemma 5.6.
Fix and let be the roots of , including multiplicities. Define a function by . We remark that is continuous everywhere except at the finitely many points . Let be a sequence in with . By replacing with a subsequence if necessary, we assume that the conditions of Lemma 5.5 are satisfied. In particular, and for all . Let be a sufficiently small open set containing so that and for all . As for , then is continuous on . Therefore the push-forward of by , , is continuous on . Since and , then . For let be the roots of , counting multiplicities. By Lemma 5.5 then
so that
where we have applied Proposition 5.7, and Proposition 5.4. This shows that if is defined by
then for all
| (5.4) |
Now implies that is not in . As the spherical kernel is continuous in each variable separately, and since whenever is not in , then is continuous on . Suppose that with . Applying (5.4), Proposition 5.7, and the fact that yields
On the other hand,
∎
5.5. Archimedean Considerations
The Archimedean case is simpler than the non-Archimedean, as we may simply integrate the expression in Lemma 5.5 with respect to .
Proposition 5.8.
At Archimedean places , we have
Proof.
As one might suspect, it is not difficult to bound the integral in terms of the Archimedean contribution to the Arakelov height of . Recall that for Archimedean , we may write , where is the Lebesgue measure on .
Proposition 5.9.
At Archimedean places , we have
where and where the implied constants depend only on the degree .
Proof.
Set . We begin with the upper bound, which is the easier of the two. Expanding and shows that
| (5.5) |
Writing in polar coordinates gives
where we have used Jensen’s inequality in the second line, (5.5) in the third line, and the fact that in the penultimate line. Combining elementary calculus with trivial bounds on shows that . For the lower bound, we assume that and define a polynomial by
Then, by the triangle inequality and the fact that for positive numbers and , we find that for all . Thus
| (5.6) |
Now write . By Proposition 5.4
and the roots of are easy to relate to the coefficients of via Vieta’s formulas:
Consequently,
| (5.7) |
From (5.6), (5.7), and the fact , we find
If instead , then and we set . The above argument then gives the same lower bound on .
∎
5.6. The Arakelov–Zhang Pairing is (essentially) a height
Corollary 5.10.
Let be an adelic probability measure and let . Then, for any rational map defined over of degree , there are constants , depending on , , and so that
Moreover as and grow linearly with .
Proof.
Corollary 5.11.
Fix a rational map with , and let be a rational map of degree . There are positive constants depending on and so that
Moreover, depend only on and satisfy as , and grow linearly in . If is a monic polynomial then where the implied constants depend on and .
Proof.
5.7. A lower bound for adelic measures with points of small height
In this section, we prove the statements in Remark 1 from the introduction. What follows summarizes some of the discussion in [FR06] and [Fil17]. Given an element and a place , we denote by the probability measure on supported equally on the Galois conjugates of over ; thus
Each is viewed as an element of via an embedding ; averaging over the Galois conjugates of ensures that the choice of embedding is irrelevant. We write . Recall that the mutual energy pairing of two adelic measures is
Recall that has points of small height if there is a sequence of distinct points in so that , where is the Favre–Rivera-Letelier height associated to . The Arakelov height of a point is defined to be
where are the -conjugates of . For , we set . The Arakelov height and the Arakelov measure are related by
| (5.10) |
for all . This is because
The first equality is a consequence of Proposition 5.4, the second follows from Proposition 5.4 and the definition of the Arakelov height, and the third is by the product formula. The standard adelic measure, is defined to be the Haar measure on the unit circle when is Archimedean, and when is non-Archimedean. A direct calculation shows that is invariant under the pull-back by a power map. Therefore is the canonical adelic measure of for .
Proposition 5.12.
Let be an adelic probability measure and let a sequence in with . Then as . Moreover with equality if and only if .
Proof.
Suppose that is a sequence of distinct points in so that . Then Theorem 9 of [Fil17] implies . So (5.10) implies as .
Now for all ; see [FPP17], [Som05]. Therefore . A straightforward computation shows that ; see Proposition 6.2 for a more general statement. Lastly, if then . It is known that this implies weakly at each place of ; see Example 6.5 of [Gil+19]. On the other hand, Théorème 2 of [FR06] implies converges weakly to at each place. So .
∎
6. Examples
6.1. Chebyshev Polynomials
Let be the Chebyshev polynomial. We adopt the convention that so that (and consequently ) has good reduction at all finite places. In general, the (Archimedean) canonical measure of a polynomial is the equilbrium measure of the Julia set, a result due to Brolin [Bro65]. It is well known that the complex Julia set of is the interval . The map is a conformal mapping from onto . By potential theory, this implies that is the push forward by of the Haar measure on the unit circle; see Theorem 4.4.4 of [Ran95] for an equivalent statement using Green’s functions. With this explicit description for the canonical measure of , it is possible to compute the norm of exactly.
Proposition 6.1.
Let be the canonical adelic measure of . Then .
Proof.
Proposition 3.6 implies that . Since has good reduction at all finite places, then for ; consequently when . So
Now , where . Therefore
By Jensen’s formula, this final integral vanishes. So .
∎
6.2. The Squaring Map After an Affine Change of Variables
In this section we compute the norm of the canonical measure associated to the map , where is the power map () and where is an affine change of variables defined over . In general, the canonical measure of a rational map of degree after conjugation by can be found via the formula
| (6.1) |
To see this, note that , and also that , as is invertible. So
This and the fact that the canonical measure is characterized by the identity shows (6.1). As remarked above, the canonical adelic measure of a power map is ; this adelic measure is simple enough to admit a direct computation of .
Proposition 6.2.
Let with and and let . Then
where .
Proof.
From Proposition 3.6, . So we compute at each place. For non-Archimedean , (6.1) implies
where, as in Section 5, is the continuous extension of the absolute value from to . Thus and so
| (6.2) |
For Archimedean , we are led to consider integrals of the form , where and are complex numbers. We claim that
This, (6.2), and the product formula imply
where . Applying the fact that yields the proposition. We therefore turn to proving (6.3). Note that the integral in (6.3) is unchanged if and are replaced by and with . So assume without loss of generality that and . It is convenient to define the quantities
and
We have the following identities:
It follows from these equations that for all . Consequently
This final integral is zero by Jensen’s formula:
So the integral in (6.3) is equal to . Expressing in terms of and gives the claim. ∎
6.3. A Family of Lattès Maps
Following [PST12], we consider the elliptic curves
where and are positive integers. The Lattès map associated to is then
| (6.4) |
This is the rational map which is semi-conjugate via the -coordinate function to the doubling map on . That is, if is a point on and is the duplication map, then . Proposition 20 of [PST12] states that
where is some absolute positive constant. Proposition 3.2 and (3.6) imply that . Therefore
| (6.5) |
An inspection of (6.4) reveals that the naive Weil height of the coefficients of is for and sufficiently large (for instance, when ). So (6.5) can be rephrased as . This provides an example of an infinite family of rational maps for which , which is a stronger statement than that of Theorem 1.3. This suggests that it is possible that Theorem 1.3 could be strengthened to show the estimate holds for rational maps, and not just monic polynomials.
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