Geometrically multiplicative non-archimedean normsThanks: This research was supported by MPIM-Bonn and ISF Grant 1203/22
Abstract.
Universally (or geometrically) multiplicative norms on Banach algebras over complete non-archimedean fields were used by Berkovich in his works on non-archimedean geometry, and later they were studied in some detail by Poineau. In this paper, we perform a more thorough study of the question when multiplicativity, spectrality and spectral multiplicativity of norms on algebras over real valued fields are preserved by ground field extensions. We obtain precise criteria quite analogous to the classical theory of geometric irreducibility and reducedness. In particular, we generalize the results of Poineau in a few aspects.
Key words and phrases:
Normed rings, geometrically multiplicative normsContents
1. Introduction
1.1. Background and motivation
All rings in this paper are assumed to be commutative and all seminorms are non-archimedean. Banach rings and their spectra are building blocks of Berkovich analytic geometry. Our goal is to study finer properties of norms, not preserved by equivalence of Banach rings. In addition it is often convenient to work with non-complete rings and apply completion only when needed, so this paper is written in the generality of normed or even seminormed rings over (non-archimedean) real valued fields. One can always divide a seminormed ring or module by the kernel of the seminorm and pass to the normed world, but seminorms show up naturally as outcomes of such constructions as the spectral seminorm and the tensor seminorm. For this reason we prefer to consider the seminormed case too.
Here are three very important properties a seminorm can satisfy:
- (i)
is multiplicative if for any .
- (ii)
is power-multiplicative or spectral if for any .
- (iii)
is spectrally multiplicative if is multiplicative.
Recall that the spectral seminorm defined by is the minimal power-multiplicative seminorm dominated by , so condition (ii) means that .
When working over a real valued ground field it is also natural to consider geometric or universal variants of these notions. Namely, we say that a seminorm on a -algebra is geometrically multiplicative, spectral or spectrally multiplicative if the tensor seminorm on is geometrically multiplicative, spectral or spectrally multiplicative, respectively, for any real valued field extension . Geometrically multiplicative norms were used by Berkovich to study group actions on analytic spaces, and he called the points they define peaked points in [Ber90]. Poineau called them universal norms in [Poi13] and proved that any multiplicative norm over an algebraically closed field is universal. To the best of our knowledge no further study of universality was done in the literature. The goal of this paper is to fill in this gap and develop the theory of geometric spectrality and spectral multiplicativity quite analogous to the classical theory of geometric reducedness and irreducibility of schemes. The combination of these two yields the desired criterion of geometric multiplicativity.
1.2. Normed algebra
We will work in the category of normed (or even seminormed) rings (and modules) with non-expansive homomorphisms. Seminormed rings will be denoted by calligraphic letters, e.g. , and we say that is spectral, multiplicative or spectrally multiplicative if its seminorm is so. In fact, these properties should be viewed as extensions to the theory of seminormed rings of the classical properties from commutative algebra – reducedness, being a domain and having an integral reduction. This analogy will be used throughout the paper, but here are a couple of its instances.
- (o)
A ring is reduced (resp. integral) if and only if the norm sending all non-zero elements to 1 is power-multiplicative (resp. multiplicative).
- (i)
A norm on is power-multiplicative (resp. multiplicative) if and only if the associated graded ring is reduced (resp. integral).
- (ii)
Each normed ring possess a universal homomorphism whose target is a spectral normed ring that will be called the spectralization of . Furthermore, , and the kernel of consists of all quasi-nilpotent elements, i.e. elements with . This is the analogy of the reduction homomorphism in commutative algebra and of the fact that and the reduction induces homeomorphism of spectra.
- (iii)
A seminormed ring is spectrally multiplicative if and only if contains a unique maximal point . A seminormed ring is multiplicative if and only if it is spectral and spectrally multiplicative. This is the analogue of the fact that a ring is a domain if and only if it is reduced and is irreducible.
1.3. Main results
We will study criteria for normed -algebras to be geometrically spectral and geometrically spectrally multiplicative. It turns out that the theory is very analogous to its classical commutative algebra counterpart. For instance, if is of equal characteristic , then the seminorm of is geometrically spectral if and only if the tensor seminorm on is spectral. Moreover, one can replace by its deformations, called -versal extensions of , and then a similar criterion also applies in the fixed characteristic, see Theorem 5.3.1. Also, we prove that is geometrically spectrally multiplicative if and only if it is spectrally multiplicative and is separably closed in the completion of , see 4.3.1. Combining these two results one deduces in Theorem 5.4.1 a criterion for to be geometrically multiplicative. In particular, we reprove the result of Poineau and show the stronger result that over a perfectoid base any spectral -algebra is geometrically spectral and geometric multiplicativity holds if and only if is multiplicative and is algebraically closed in the completion of .
We will see that the main case to study is when is finite. If is defectless, then the graded reduction completely controls the ground field extension and can be used to formally reduce the problem to the classical commutative algebra. However in the general case, instead of this we will have to work with reductions of a small but non-zero thickness for a pseudo-uniformizer whose valuation is close enough to 1. This imposes mild technical complications as we have to track the thickness (e.g. under Frobenius), but allows us to exploit the analogy with the classical results, and construct the proofs along the same general lines.
1.4. Conventions
For simplicity, we will omit the word “generalized” in what one often calls generalized Gauss valuation or extension. By default, we provide tensor products of seminormed rings and modules with tensor product seminorm. If is a real valued field extension and is a seminormed -algebra, we will use the notation .
Contents
2. Analytic spectrum
2.1. Berkovich analytic spectrum
Berkovich introduced analytic spectrum only for Banach rings, though this is mainly a matter of taste. As in the theory of Huber’s adic spectra, the definition makes sense more generally, but the outcome depends only on the completion viewed as a Banach ring. Thus, by Berkovich spectrum of a seminormed ring we mean the set of all bounded real semivaluations on with the weakest topology making all functions with continuous. This is a contravariant functor on the category of seminormed rings.
The points of will denoted or . The completed residue field is the completed field of fractions of the multiplicative normed ring . Given a homomorphism of seminormed rings we say that the induced map is an isomorphism11 1 The notion spectral isomorphism would be more precise, but we do not provide with any finer structure in this paper. if it is a homeomorphism and induces isomorphism of completed residue fields. For example, the map is an isomorphism because of the factorizations . Thus Berkovich’s theorem [Ber90, Theorem 1.2.1] implies that is compact and non-empty whenever .
2.2. Spectralization
By the spectralization of we mean the normed ring , whose norm is induced by the spectral seminorm of and denoted by the same notation. This procedure is the analogue of reduction in commutative algebra. Recall that by [Ber90, Theorem 1.3.1], which is the analogue of the classical fact that the nilradical equals the intersection of all prime ideals.
Lemma 2.2.1.
(i) For any seminormed ring the map induces an isomorphism of spectra.
(ii) For any seminormed -algebras and one has that
(iii) A seminormed ring is spectrally multiplicative if and only if possesses a single maximal point (i.e. for any ). In this case, and is the completed fraction field of .
Proof.
The first claim is obvious, the second one follows from the simple observation that the product norm dominates any power-multiplicative norm on . Finally, (iii) follows from the cited above fact that . ∎
As a consequence, studying geometric spectral multiplicativity reduces to the case of fields.
Corollary 2.2.2.
Assume that is a spectrally multiplicative seminormed -algebra over a real valued field , and let with the induced valuation. Let be a real valued extension, then is spectrally multiplicative if and only if is spectrally multiplicative. In particular, is geometrically spectrally multiplicative if and only if is.
Proof.
By Lemma 2.2.1 , so is spectrally multiplicative if and only if is. Therefore it is enough to prove the claim when , that is, the norm of is multiplicative. It is a classical result (and also follows from Lemma 3.4.1 below) that is an isometry, and hence this is also true for .
Note that each in satisfies in , and hence any seminorm on which extends the norm on uniquely extends to by the rule for . In particular, this applies both to the tensor seminorm on and the associated spectral seminorm. Since the seminorm of is such an extension of the seminorm of (follows from Lemma 3.4.1 below) we immediately obtain that one of them is multiplicative if and only if the other one is multiplicative.
∎
2.3. Unibranchness
Our choice to work in the generality of non-complete and even non-henselian valued fields forces us to distinguish abstract algebraic extensions of real valued fields, which may have a few extensions of valuations, and real valued extensions, where an extension is fixed. We say that an algebraic extension is unibranch if the extension is unique. Also, we say that a finite extension of real valued fields is defectless if . In particular, in this case is unibranch. This should not be confused with the more usual definition that an abstract extension is defectless when , where the sum is over all extensions of the valuation.
Example 2.3.1.
Assume that is a real valued field and a finite extension. Let be all extensions of the valuation of to , and let be the corresponding real valued fields. Provide with any -norm which is equivalent to a cartesian norm (as recalled below). Then is the classical spectral norm and hence and . This is essentially equivalent (and follows from) the classical fact from commutative algebra that the integral closure of in is , and it is the unit ball of .
The extension is unibranch if and only if is a valuation. From the analytic point of view non-unibranch abstract extensions (with the spectral norm) are non-local object, as opposed to a real-valued extension , where a specific extension is fixed. If is not unibranch, is not -cartesian with respect to any single valuation . The branches are separated analytically or étale-locally: , where is the fraction field of the henselization of . The henselian factorization is finer, because is the quotient of by the kernel of the spectral seminorm, which can be non-trivial.
2.4. Graded reduction and orthogonality
Recall that a vector space over a real valued field is called cartesian if it possesses an orthogonal basis , which means that . A finite real-valued extension is defectless if and only if if and only if is cartesian, where is the graded reduction of as defined in [Tem04, §2]. Recall that is a graded field (i.e. 0 and (1) are the only homogeneous ideals). More generally, note that for any normed -vector space the graded reduction is a graded -vector space and the same argument as for shows that if is finite-dimensional, then it is cartesian if and only if the fundamental inequality is an equality.
Lemma 2.4.1.
Let be an extension of real valued fields and let be a finite-dimensional cartesian -vector space. Then is cartesian and .
Proof.
Choose an orthogonal basis of . Then a direct inspection shows that it is a cartesian basis of , and hence its images under the graded reduction map also form bases of over and over . ∎
2.5. Applications to cartesian base changes
As a consequence one can easily control the norms under finite defectless base changes. This case already covers discrete valuations and finite tame extensions.
Lemma 2.5.1.
Let be a finite defectless extension of real valued fields. Then for any real valued -field and the following claims hold:
(i) is spectral if and only if is reduced. Furthermore, in this case , where each is the graded reduction of and is the set of all -valuations on (in particular, ).
(ii) is multiplicative if and only if is a graded field if and only if (i) holds with .
Proof.
By Lemma 2.4.1 and obviously the tensor norm is spectral (resp. multiplicative) if and only if is reduced (resp. integral, and hence a graded field). Furthermore, if is reduced, then and hence and the graded reduction is . ∎
3. Almost orthogonality
In presence of defect one has to consider bases which are close enough to orthogonal ones. Of course this is more technically involved, but allows to simplify one aspect – if the valuation is discrete one has to use the graded reduction, while otherwise it suffices to work with the unit balls only.
3.1. Weak cartesianity
The definition makes sense for seminormed rings and modules, but let us restrict the generality to a seminormed vector space over a real valued field . A family of elements is called -orthogonal for if for any linear combination (with almost all zeros) one has that . We say that is -cartesian if it possesses an -orthogonal basis, and weakly cartesian if any finite dimensional subspace possesses such a basis. In particular, is normed. As earlier, if we simply say orthogonal and cartesian. The notion of -cartesianity is especially important in the finite-dimensional case when the valuation is not discrete. In particular, one has the following classical result.
Lemma 3.1.1.
Let be a real valued field and let be a finite-dimensional normed -vector space. The following conditions are equivalent:
- (i)
is -cartesian for some .
- (ii)
is -cartesian for any .
- (iii)
The norm of is equivalent to a cartesian norm.
- (iv)
The completion map is injective.
- (v)
.
If is discretely valued this is also equivalent to being cartesian.
3.2. Unit balls
Given a normed -vector space we will use the notation to denote its unit ball. As usual, we say that a -module almost vanishes if is dense and for any .
Lemma 3.2.1.
Let be a real valued field with dense group of values , let be normed vector -spaces and .
(i) An embedding is an isometry if and only if the -module is torsion free if and only if is almost torsion free.
(ii) Let be elements with . Consider the normed vector space with orthogonal basis such that . Then the elements are -orthogonal if and only if the map taking to is injective and the torsion part of the cokernel of the induced map is annihilated by any with . If this holds, then is killed also by any with .
(iii) Let be provided with the tensor norm. Then and the cokernel almost vanishes.
Proof.
All three claims reduce to straightforward unravelling the definitions. For example, let us check (iii). We should prove that for any and . By definition of the tensor seminorm there exists a presentation with for any . Since is dense, we can find such that and and hence . ∎
Unlike claims (i) and (ii) of the lemma, one can not completely remove the adjective “almost” in claim (iii), and this is so even when the vector spaces are strict (i.e. ) or, moreover, . Here are some examples.
Example 3.2.2.
Assume for simplicity that is algebraically closed and complete, but not spherically complete, and choose a decreasing sequence of balls without common -points. In particular, and usually one can achieve that is arbitrary. For example, one can take and , where strictly increase and tend to , and then .
The intersection in the Berkovich affine line is a single point of type 4. The completed residue field is an immediate extension of with the valuation determined by the inequalities , hence is strict over . In fact and the restricted valuation on is the infimum of the translated Gauss valuations . Set , then and hence , yielding that . In fact, it is easy to see that the exact equality holds. For instance, note that the intersection has a -point, hence the base change is just a -disc of radius , that is, . If we obtain that is not strict, and if we have that lies in , but not in .
3.3. Descent
There is a standard trick in Berkovich geometry which reduces many questions to the strict case – apply a base change with respect to an appropriate extension with a large (typically a Gauss extension) and descend the results. We will only need to use it when is discretely valued and Lemma 3.2.1(iii) cannot be applied as it is.
Lemma 3.3.1.
Assume that is discretely valued and is a weakly cartesian seminormed vector -vector space. Let be the Gauss extension with . Then is an isometry and vectors are -orthogonal over if and only if their images in are -orthogonal over .
Proof.
One checks by a direct inspection that is an isometry and are -orthogonal over . The claim follows easily. ∎
Remark 3.3.2.
In principle, instead of using the descent trick one could use a more technical approach which treats the discrete and non-discrete cases on an equal footing by considering the balls of all radii at once. The Rees algebra is a graded valuation ring of the graded field and its graded residue field is . A similar construction applies to seminormed -vector spaces. If the valuation is not discrete, contains almost the same information as , while in the discrete case it is essentially controlled by . We will occasionally mention in the sequel graded rings of the form , where and call such a ring the -thick graded reduction of .
3.4. Base change of isometries
As a toy application let us reprove the following simple well known statement, e.g. see [Poi13, Lemme 3.1].
Lemma 3.4.1.
Let be seminormed vectors spaces over a real valued field , and let be an isometry. Then is an isometry.
Proof.
Set and . If the valuation is not discrete, then is torsion free by Lemma 3.2.1(i), and hence
is torsion free by Lemma 3.4.2 below. In view of Lemma 3.2.1(iii) this implies that also is almost torsion free and hence is an isometry by Lemma 3.2.1(i).
The case of a discrete valuation can be reduced to the above by tensoring with , where , and using Lemma 3.3.1. ∎
Lemma 3.4.2.
Assume that are -modules and is torsion free. If the torsion of is killed by (resp. almost vanishes, resp. vanishes), then the same is true for .
Proof.
This easily follows from the standard fact that a -module is flat if and only if it is torsion free. ∎
3.5. Universality of -orthogonality
As another application let us prove the following simple result, which of course admits more straightforward proofs too.
Lemma 3.5.1.
Assume that is an extension of real valued fields and is a normed -vector space. Then elements are -orthogonal for if and only if their images are -orthogonal over .
Proof.
The case of discrete valuation reduces to the general case by tensoring with some , so assume that the valuation is not discrete. Then by Lemma 3.2.1(ii) the map taking to is injective and the torsion of the cokernel of is killed by any with . Tensoring with yields a morphism , and we set . It is then clear from the diagram
As a corollary we obtain a criterion for failure of geometric multiplicativity. Consider a henselian real valued field (so, the valuation extends to uniquely). For an algebraic element let denote the distance between and .
Corollary 3.5.2.
Assume that and are extensions of real valued henselian fields and there exists which is algebraic over and satisfies the inequality . Then is not multiplicative.
Proof.
We claim that the pair of elements is -orthogonal over if and only if . Indeed, any linear combination with can be rescaled by , hence checking that are -orthogonal reduces to testing only linear combinations of the form , which makes our claim obvious.
Now let us prove the claim. By Lemma 3.4.1 it suffices to prove that is not multiplicative, hence we can replace by . If is not a field, then the multiplicativity fails, so we can assume that it is a field. Choose any with . Then are -orthogonal over , but not over with respect to the valuation of . Therefore Lemma 3.5.1 implies that the tensor norm on is not a valuation. ∎
3.6. Criteria of geometric multiplicativity
We can also use -orthogonality to provide a criterion when the multiplicativity is preserved by a base change.
Lemma 3.6.1.
Let and be extensions of real valued fields. Assume that is a field and . Provide with an extension of the valuation of and assume that for any there exists a basis which is an -orthogonal basis of over with respect to the valuation of . Then is unibranch and the tensor norm of coincides with . In particular, is multiplicative.
Proof.
Since is weakly cartesian, and hence is unibranch. This already shows that is spectrally multiplicative and . Assume to the contrary that the tensor norm of is not multiplicative. Take any with and choose so that . Let be an -orthogonal basis of and present as , where . Then , a contradiction. ∎
This general criterion can be made quite explicit in many practical situations. One such case was already established in Lemma 2.5.1. Here is a subtler case when defect can happen. In fact, the claim below is not covered by Lemma 2.5.1 precisely when has defect.
Corollary 3.6.2.
Let and be extensions of real valued fields. Assume that and are henselian, , and is such that . Then if and only if is a field and its valuation coincides with the tensor norm.
Proof.
The opposite implication is covered by Corollary 3.5.2, so assume that . If the valuation of is discrete, then replacing by with we can assume that . In this case, is an orthogonal basis of , hence and then the tensor norm is the valuation by Lemma 3.6.1.
Assume now that the valuation is not discrete. Then there exists a sequence with , such that tends to and monotonically increases and tends to 1. By [GR03, Proposition 6.3.13], for any there exists such that is -orthogonal (in fact, this is only claimed in loc.cit. for the tamely closed case, but the proof works in general). Now, the claim follows from Lemma 3.6.1. ∎
We can summarize this in the following example.
Example 3.6.3.
(i) As in Corollary 3.6.2 assume that and are henselian and is wild, separable of degree over . Let denote the minimal distance between and other roots of its minimal polynomial (in fact, they all are equidistant). Note that by Krasner’s lemma and is almost unramified if and only if .
(a) The tensor norm is spectrally multiplicative if and only if is a field if and only if if and only if .
(b) By Corollary 3.6.2 the tensor norm is multiplicative if and only if . In particular, it is not spectral whenever .
(c) More generally it is easy to see that the tensor norm is spectral if and only if either or .
(ii) In fact, is not almost unramified if and only if there exists such that , e.g. see [Tem10, Proposition 6.1.4]. So, the mechanism for the failure of geometric spectrality is the same as with geometric non-reducedness in commutative algebra: and , then if there exists such that . Then by Lemma 3.5.1 , but .
(iii) Since up to tame extensions any wild extension can be split into composition of extensions of degree , the above implies that a finite extension with a henselian is geometrically spectral if and only if it is almost unramified.
4. Geometric spectral multiplicativity
In this section, we conclude our study of geometric spectral multiplicativity.
4.1. Transcendental extensions
Consider the following valuative analogue of purely transcendental extensions in commutative algebra. A -valuation on is called almost -split if it is an infimum of translated Gauss valuations , where is defined by . If is algebraically closed, then is automatically almost split. For example, if , then this follows from the classification of points on Berkovich affine line over in [Ber90, §1.4]. Otherwise , and the image of defines a classical point of , which is the semivaluation on with kernel , and of course is also an infimum of Gauss valuations dominating it. The restriction of onto is the valuation induced from .
Lemma 4.1.1.
Assume that is a real valued field whose valuation is almost -split. Then a seminormed -algebra is spectral, spectrally multiplicative or multiplicative if and only if the seminormed is so.
Proof.
The claim for spectral multiplcativity follows from the claim for multiplicativity, because we can replace with its spectralization by Lemma 2.2.1(ii). Furthermore, it suffices to deal with the case when is provided with a Gauss valuation because multiplicativity and power-multiplicativity are preserved under limits of valuations. In this case the multiplicativity is just Gauss lemma, and power-multiplicativity is proved similarly but let us sketch the argument for completeness . Assume that is power-multiplicative, and let us show that for . Multiplying by an appropriate element of we can assume that and hence . Choose the minimal such that . Then with , which implies the claim. ∎
Remark 4.1.2.
Assume that as above is normed. It is easy to see that if , then is normed as well, but for the seminorm on is not a norm because .
4.2. Spectral multiplicativity
Next we study how spectral multiplicativity behaves in the case of algebraic ground field extensions.
Lemma 4.2.1.
Let be a finite extension of real valued fields, and let be a spectrally multiplicative seminormed -algebra with . Then the following conditions are equivalent:
- (i)
The base change is spectrally multiplicative.
- (ii)
The reduction of is a field.
- (iii)
The reduction of is a field.
- (iv)
No non-trivial separable subextension admits a -embedding into (or ).
Proof.
By Corollary 2.2.2 is spectrally multiplicative if and only if is. The completion preserves the analytic spectrum, hence the latter happens if and only if is spectrally multiplicative (there is no need to complete the tensor product because is finite). It remains to note that , where . The claim about henselizations follows because they are separably closed in the completions, and the equivalence of this condition with (iv) is classical. ∎
A couple of words about the reasons which forced us to choose the oddly looking formulation of the lemma.
Remark 4.2.2.
(i) The lemma asserts that is not spectrally multiplicative if and only if is not geometrically irreducible over . One cannot formulate a more global criterion, as itself can be geometrically irreducible (even when is complete and is affinoid).
(ii) We formulated (ii) and (iii) using henselizations and completions because a similar claim fails for itself. For example, if is a quadratic subextension of , then , but this ring is spectrally multiplicative because the tensor norm has a kernel and (e.g. use that the completion is ).
4.3. Main theorem
At this stage we can already prove the main result about geometric spectral multiplicativity. Which is very similar to the usual theory of geometric irreducibility, up to the nuance with the completion or henselization.
Theorem 4.3.1.
Let be a real valued field and let be a spectrally multiplicative seminormed -algebra with . Then is geometrically spectrally multiplicative if and only if is separably closed in (or is separably closed in ). In particular, is separably closed if and only if any spectrally multiplicative -algebra is geometrically spectrally multiplicative.
Proof.
By Corollary 2.2.2 it suffices to consider the case when . Lemma 4.2.1 easily implies that if is not separably closed in , then is not geometrically multiplicative over . Conversely, assume that is separably closed in . We should prove that is spectrally multiplicative for a given real valued extension . It suffices to prove this for a real valued extension of because embeds isometrically into . Thus, replacing with we can assume that is algebraically closed.
The following fact follows from compatibility of henselization with filtered colimits and will be tacitly used in the sequel: if is the filtered colimit of its subfields such that each is spectrally multiplicative, then also is spectrally multiplicative. As a first application, combining it with Lemma 4.2.1we obtain that is spectrally multiplicative. Therefore we can replace and by and , achieving that is algebraically closed.
Next, we claim that for any the seminormed ring is spectrally multiplicative. Recall that is spectrally multiplicative by Lemma 4.1.1, so is a domain and we denote the fraction field by . We can assume that as otherwise the completion is just and there is nothing to prove. Otherwise, and the argument from the previous paragraph would allow us to conclude that also is spectrally multiplicative once we show that is separably closed in the completion of . We postpone this to Lemma 4.3.2 below.
Finally, each with is spectrally multiplicative by the above claim and the induction on , and hence is also spectrally multiplicative by the colimit argument. ∎
It remains to establish the result we have used above.
Lemma 4.3.2.
Let be an extension of complete real valued fields and assume that is algebraically closed. Let with an extended valuation and with the tensor valuation. Then is algebraically closed in .
Proof.
We start with the Abhyankar case. Assume that is attained. Then translating we can assume that actually , and hence is the Gauss extension and then also is the Gauss extension of . Therefore is algebraically closed in and the graded residue fields are preserved under passing to completions. On the other hand, is defectless by the stability theorem, e.g. see [Tem10, Corollary 6.3.6]. So, any non-trivial extension induces a non-trivial extension of the graded residue field and hence cannot be contained in .
Assume now that the infimum is not attained and hence the restriction of the valuation onto is the infimum of a decreasing sequence with decreasing and tending to . If , then and hence any inseparable extension of contains which is easily seen not to lie in . So, we should prove that is separably closed in . Assume that this is not true and there exists which is separable over . Let be its minimal polynomial. Since is dense in , as a consequence of Krasner’s lemma, we can replace with such that is small enough so that has a root and . As earlier, let be the minimal distance between and its conjugates over and . Additionally, let denote with the valuation , let with the corresponding tensor valuation, and, when needed, we will extend this valuation to . Let . Choose such that . Then , and for big enough we have that . By Krasner’s Lemma , which contradicts our results in the Abhyankar case. ∎
Remark 4.3.3.
In the above proof we have dealt with fields of type 4 via a limit argument, which reduced the claim to Abhyankar case and the stability theorem. A possible alternative was to use the uniformization theorem [Tem10, Theorem 6.3.1(i)] for a finite extension of and argue directly.
5. Geometric spectrality
It remains to provide criteria of geometric spectrality. The main case to deal with is when . We will see that otherwise any spectral algebra is geometrically spectral.
5.1. -versal extensions
Let be a real valued field of residual exponential characteristic . The reader can assume that as otherwise the discussion becomes vacuous. We say that is -regular if . We set if is -regular, and otherwise. The latter correction is only needed to make things work smoother in the mixed characteristic, while in the equal characteristic case is the residue seminorm on the group , and is -regular if and only if .
An extension of real valued fields will be called weakly -versal if for any -regular element . If, moreover, there exists such that , then we say that is -versal of thickness . Here are few basic properties which are checked straightforwardly.
Remark 5.1.1.
(o) If (i.e. the residual characteristic is zero), there are no -regular elements and any extension is -versal.
(i) If , then is -versal of unbounded thickness. An -thick extension should be considered as an extension which contains a uniform deformation of , though this is an analogy only, and it can freely happen, for example, that is purely transcendental.
(ii) Let , then is -versal of thickness if and only if the -thick graded reduction lies in the image of the Frobenius on .
(iii) If is weakly -versal, then the graded reduction lies in the image of the Frobenius on . The inverse implication holds only when is defectless.
(iv) Assume that . If , then weak -versality is equivalent to -versality, but the notions differ when is infinite. A similar claim holds in the mixed characteristic case, once one introduces a corrrect analogue of the -rank (e.g. as the minimal such that there exists a -versal extension of degree ).
5.2. The key lemma
Our main result concerning the geometric spectrality is that it can be tested on a single -versal extension . We will use the -versality assumption through the following key lemma.
Lemma 5.2.1.
Let be a complete real valued field of residual exponential characteristic , let be a normed -algebra and let be -orthogonal elements, where . Assume that there exists a -versal extension of thickness such that the base change with the tensor norm is spectral. Then the elements are -orthogonal.
Proof.
We need to prove that for any the element satisfies the inequality , where .
Let us first illustrate the idea in the model case, when and . Here we can simply use that are -orthogonal in by Lemma 3.5.1, and hence satisfies the inequality . The claim follows since by the spectrality of .
The same method works in general, once we use the -versality to choose approximate roots and check that the -th power is additive up to error terms which are below our thresholds. Indeed, choose such that and set . In particular, and then by the spectrality. On the other hand, and
hence also , as claimed. ∎
5.3. Main theorem
Now we can prove our main result concerning geometric spectrality.
Theorem 5.3.1.
Let be a real valued field of residual exponential characteristic and let be a weakly cartesian normed -algebra. Then is geometrically spectral if and only if there exists a -versal extension such that is spectral.
Proof.
The direct implication is obvious. Conversely, assume that is -versal of thickness and is spectral. Let be any extension of real valued fields. We need to prove that is also spectral. Assume first that . As in the proof of Theorem 4.3.1, we can replace by a larger field and it suffices to prove the claim for a cofinal family of subextensions of . Therefore the claim reduces to the two cases: is finite and and is algebraically closed. The second case is covered by Lemma 4.1.1. The first case follows from Lemma 2.5.1(i) because is defectless and is a graded field of characteristic zero and hence reduced graded -algebras are geometrically reduced.
Assume now that . In this case it is enough to prove that any satisfies , because then also and hence the norm is power-multiplicative. Assume by contradiction that , where . Fix an orthogonality threshold such that . Choose a finite-dimensional subspace such that . By our assumption and Lemma 3.1.1, possesses an -orthogonal basis
Recall that is perfectoid if it is non-discretely valued, complete, of positive residual characteristic and the Frobenius is surjective on for some (and then any) with . Thus, is -versal if and only if either or is perfectoid, and we obtain the following corollary.
Corollary 5.3.2.
Let be a spectral normed algebra over a real valued field of residual exponential characteristic . Assume that either or is perfectoid. Then is geometrically spectral.
Remark 5.3.3.
Assume that a real valued extension is such that the following condition holds: if is a normed -algebra such that is spectral, then is geometrically spectral. We know that any -versal satisfies this property. Conversely, already considering the case when is an extension of the form one obtains from Lemma 3.6.1 that has to be weakly -versal. When has finite -rank this completely characterizes the fields which can test geometric spectrality (see Remark 5.1.1(iv)). We did not study how (and if) the -versality condition can be weakened when the -rank is infinite.
5.4. Geometric multiplicativity
Theorem 5.4.1.
Let be a real valued field of residual exponential characteristic and let be a weakly cartesian multiplicative normed -algebra. Then is geometrically multiplicative if and only if it is multiplicative, there exists a -versal extension such that is spectral and is separably closed in , where . In particular, if is algebraically closed, then is geometrically multiplicative if and only if it is multiplicative.
References
- [Ber90] Vladimir G. Berkovich, Spectral theory and analytic geometry over non-Archimedean fields, Mathematical Surveys and Monographs, vol. 33, American Mathematical Society, Providence, RI, 1990. MR 1070709 (91k:32038)
- [GR03] Ofer Gabber and Lorenzo Ramero, Almost ring theory, Lecture Notes in Mathematics, vol. 1800, Springer-Verlag, Berlin, 2003. MR 2004652
- [Poi13] Jérôme Poineau, Les espaces de Berkovich sont angéliques, Bull. Soc. Math. France 141 (2013), no. 2, 267–297. MR 3081557
- [Tem04] Michael Temkin, On local properties of non-Archimedean analytic spaces. II, Israel J. Math. 140 (2004), 1–27. MR 2054837 (2005c:14030)
- [Tem10] by same author, Stable modification of relative curves, J. Algebraic Geom. 19 (2010), no. 4, 603–677. MR 2669727