Algebraic geometry over the residue field of the infinite place
Marton Hablicsek, Mate Lehel Juhasz

TL;DR
This paper develops an elementary algebraic framework for modules and algebras over the residue field at the infinite place, establishing foundational properties and prime decomposition in this context.
Contribution
It introduces an algebraic approach to the residue field at the infinite place, including prime congruences and Krull dimension results, advancing Arakelov geometry theory.
Findings
Polynomial ring of n variables has Krull dimension n
Prime decomposition theorem for prime congruences
Elementary algebraic approach to modules over the residue field
Abstract
Nikolai Durov introduced the theory of generalized rings and schemes to study Arakelov geometry in an alternative algebraic framework, and introduced the residue field at the infinite place. We show an elementary algebraic approach to modules and algebras over this object, define prime congruences, show that the polynomial ring of n variables is of Krull dimension n, and derive a prime decomposition theorem for these primes.
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Algebraic geometry over the residue field of the infinite place
Márton Hablicsek
Mathematics Department, University of Pennsylvania
Máté L. Juhász
Alfréd Rényi Institute of Mathematics
Hungarian Academy of Sciences
Abstract
Nikolai Durov introduced the theory of generalized rings and schemes to study Arakelov geometry in an alternative algebraic framework, and introduced the residue field at the infinite place, . We show an elementary algebraic approach to modules and algebras over this object, define prime congruences, show that the polynomial ring of variables is of Krull dimension , and derive a prime decomposition theorem for these primes.
1 Introduction
In the category of schemes, the initial object is , which is not a complete variety. Suren Yurevich Arakelov introduced the concept of Arakelov geometry in [1] and [2], by introducing Hermitian metrics on holomorphic vector bundles over the complex points of an arithmetic surface. Arakelov geometry can be used to study diophantine equations from a geometric point of view. For instance, it can be used to prove certain results over number fields which are known over function fields (see [4] and [7] for examples). In Nikolai Durov’s doctoral dissertation ([3]), Durov introduces a new approach to Arakelov geometry, the theory of generalized rings and fields, and uses them, among others, to construct a completion of .
To understand the completion, consider that the divisor of a rational function on a complete curve is always of degree zero. Put differently, the sum of all valuations of a rational function at all points of the curve gives zero. The analoguous formulation for states that the product of all valuations on of a rational number is always one. Recall that the valuations on are of two kinds: an Archimedean valuation and for all primes a non-Archimedean valuation . Just like the valuations of a complete curve, each non-Archimedean valuation on corresponds to a closed point of , however, the Archimedean valuation, called for analogical reasons the valuation at the infinite place or infinity, is missing from .
Durov uses this idea to complete , and, among others, he defines the residue field corresponding to the valuation at infinity. In general, for a prime , we introduce and the open unit ball , and define the residue field as the quotient . For the Archimedean valuation, and , and is, intuitively, the closed interval with its interior identified as a single element, [math]. This is in fact the underlying set of the object that Nikolai Durov refers to as . In this paper we investigate algebras over this generalized ring. Explicitly, this generalized ring has three elements: , [math], , equipped with three operations: , and a unary so that
- •
is idempotent: for every element ,
- •
[math] is an absorbing element: for every element ,
- •
is commutative and associative,
- •
, , ,
- •
,
- •
is commutative, associative, and distributive with respect to ,
- •
is a multiplicative identity,
- •
[math] is absorbing with respect to as well,
- •
.
For instance, we clearly see that is not a ring in the usual sense, it lacks of an additive identity, and, as a consequence, of additive inverses. On the other hand, it is not very far from being a ring itself. One purpose of this paper is to show that algebraic geometry over looks similar to algebraic geometry over finite fields.
The paper consists of two parts. First, instead of using Nikolai Durov’s full machinery, we give a gentle introduction to the theory of algebras and modules over . In Section 2, we introduce -fields, including finite extensions, modules and algebras, and motivate using polynomial rings as the ring of functions. By looking at modules as semilattices, with the addition functioning as a meet-operation, in Section 3 we show how these can be extended into lattices (3.4, 3.17), and use this to understand dual modules (3.7, 3.17) and -modules (3.26), at first for finite modules, then using topology, to infinite modules. In fact, any module can be embedded into one where infinite sums and joins exist. In Section 4, we examine the theory of congruences and kernels. In particular, it turns out that for any ideal there is always a maximal congruence whose kernel is the ideal, which can be identified by a separability condition (4.7 and 4.9). Then we turn to congruences in -fields, where the congruence is characterized completely by the equivalence class of , neatly mirroring classical ring theory with the equivalence class of [math].
Second, we take the first steps towards algebraic geometry over . Our theory is mainly motivated by a novel approach by Dániel Joó and Kalina Mincheva ([5], [6]). One of the key ideas in these papers is that prime congruences are more natural objects to study than prime ideals. The authors study tropical geometry using prime congruences instead of prime ideals, and they prove a version of Hilbert’s Nullstellensatz in the realm of tropical geometry. We follow this key idea and we define prime congruences in algebras over and, among others, we show that the polynomial ring of variables has Krull dimension (see Corollary 6.3), and we derive a prime decomposition theorem (see Theorem 7.10). As a consequence, we bring in line the theory of modules and algebras over with the theory of classical finite fields.
Acknowledgement: We thank Kalina Mincheva and Dániel Joó for patiently explaining their work to us. Most of the techniques we use in the second part of the paper appear in some form in their work.
We would also like to thank an anonymous referee for their invaluable comments.
2 Modules and algebras over
First, let us recall what the object is (see [3], 5.1.16).
Definition 2.1**.**
The generalized field or field has as set the elements , with three operations: a unary , and a binary and , with the following properties:
- •
, ;
- •
, hence [math] is an absorbing element;
- •
;
- •
;
- •
, , ;
- •
, ;
- •
;
- •
.
Note in particular that the operator is unlike the typical addition in that [math]** is an absorbing element** and that ** is not the additive inverse of **. The notations were chosen this way because of the way Durov defined these structures in [3], and since in his development, is derived as a convex combination. Durov chose the notation for this operator, but we wanted to preserve its connection to addition. Also note that [math] is absorbing for both operations.
Intuitively, a module over the field at infinity, , corresponds to the faces of a symmetric polyhedron, where the binary operation is the smallest face containing both. Then the field itself is the digon with three elements: , and [math], and the binary operation is the element between. Although there are modules that cannot be realized as actual symmetric polyhedra, this can be a useful visualization.
In the following definitions, we will denote by indices the arity of the operations. In [3], modules over generalized rings are described in 4.3.7. Here we give a more direct description for .
Definition 2.2**.**
An -module is a structure such that:
- •
, ;
- •
, ;
- •
; .
A submodule, congruence, quotient module and module homomorphism are defined as usual.
Note that contrary to usual conventions, [math] is not a neutral element, and is not an additive inverse.
Proposition 2.3**.**
[math]* is an absorbing element in an -module.*
Proof.
. ∎
Example**.**
The set is an -module, defined uniquely by the module axioms.
Proposition 2.4**.**
An -module has a natural partial order defined by if , with [math] being the smallest element, i.e. .
Proof.
Reflexivity arises from idempotence, symmetry from commutativity. If , then and , hence , therefore . ∎
Definition 2.5**.**
A maximal element is such that there is no such that , i.e. if and only if . A minimal element is such that only for , i.e. if and only if or .
We will also need rings over :
Definition 2.6**.**
An -algebra or ring is an -module with a semigroup structure such that
- •
;
- •
;
- •
, .
A subalgebra, congruence, quotient algebra and algebra homomorphism are defined as usual.
A unital algebra is a monoid structure such that . An invertible element is such that there is an such that , and the group of invertible elements is denoted by . The unital algebra is a division algebra if is a group, and a -field if it is a commutative group.
Recall once again that [math] is not a neutral element for addition:
Proposition 2.7**.**
[math]* is an absorbing element in an -algebra.*
Proposition 2.8**.**
In a finite unital algebra, all invertible elements are incomparable.
Proof.
First, is not less than any invertible element, since if for invertible, then gives an infinite increasing sequence. Similarly is not greater than any invertible element. Then, if and are invertible, and , we may multiply both sides by , which preserves the inequality by the distributivity of multiplication. Hence , which is a contradiction. ∎
Corollary 2.9**.**
In a finite division algebra, all non-zero elements are minimal and maximal. Hence for any , , unless .
Remark**.**
Note that our usage of -algebra is more in line with what Durov refers to as unary algebras over , as defined in 5.1.15 in [3], referred to as such because what we describe as elements, he refers to them as unary operations (4.3.9). A proof for this will be sketched in 2.12. What he refers to as algebras, described in 5.1.9, are more general structures, and may have additional operations of higher arity.
Example**.**
- •
The field is a commutative division -algebra.
- •
* is the -field generated by such that (for the definition of a freely generated algebra, see 2.21 and 2.23). Its elements are , and by 2.9 we have unless . These fields can be embedded as subsets of , and the diagram below shows the case.*
[math]1$$\zeta^{2}$$\zeta^{3}$$-1$$\zeta$$\zeta^{4}
- •
Given , there is a natural embedding of into , given by . The field can be embedded as a subset of . Its elements are the roots of unity and 0.
- •
*The underlying sets of all these finite fields can be embedded into as the *th roots of unity. The Euclidean closure of in is given as . Using the multiplication on and defining addition as unless , this gives a field structure to the set .
- •
We may also consider the extension with . In this case, its elements are for . These and will appear later as quotients of the polynomial ring in 5.10.
- •
More generally, given a group and a field , the group algebra consists of elements [math] and with and , with the law of addition that if , otherwise [math], and . The previous example is in fact .
- •
There is a more general way to construct fields. Consider a commutative group with an injective map . Then the set has a natural -field structure, defined via the group operation as multiplication, unless , and . This generalizes group algebras, with for .
- •
For an example of a -field where the order is non-trivial, consider the set with the addition if , and .
[math]x$$...$$-x$$...$$1$$-1$$x^{-1}$$-x^{-1}$$...$$...
Modules and algebras can also be considered over other fields.
Definition 2.10**.**
Assume is an -algebra. An -module is an -module with a binary operation , such that
- •
* for , , ;*
- •
* and for , , , ;*
- •
* for , ;*
- •
* for , ;*
- •
If is unital, we further postulate for .
An -algebra is an -module that is also an -algebra, such that
- •
* for , , .*
Lemma 2.11**.**
The category theoretic free module over , generated by consists of elements for , , and the element [math]. The operation with and for any .
This is a consequence of 2.15 that we will announce later.
Theorem 2.12**.**
Any -algebra (defined as in 2.6) can be given a generalized ring structure, as defined in [3], and the categories of modules and algebras over it are equivalent to the categories of modules and unary algebras over respectively, the later as defined in [3]. Also, is an -algebra, in the sense of [3].
Proof.
Here we will sketch the proof, referring to sections in [3], denoted by bold numerals.
Durov defines generalized rings in 5.1 as a commutative algebraic monad. In 4.3, an algebraic monad is described by defining , which is a free module generated by elements, as shown in 4.6.5, and several natural maps , which satisfy certain natural relations. In 4.3.7, modules are defined through maps with a similar description.
In our case, we already have , consisting of terms in variables , …, . We may define and for , and by replacing each by and , respectively, in . Then the relations and commutativity may be checked directly. It can be checked that the homomorphisms are identical to those defined in 2.2 as well by noting that all elements of can be written using and the variables , …, .
It is also worth noting that in general, every universal algebraic variety containing no relations (i.e. a category of algebras satisfying a certain set of equalities) gives rise to an algebraic monad, hence the variety of -modules is also trivially an algebraic monad, giving equivalent categories. The only condition needing to be checked separately is the commutativity, which is a very simple corollary of 5.1.7 and the fact that is generated by operations of arity at most .
Since any -algebra , according to our definition, can be generated by adding elements and relations between terms in , these are exactly what Durov refers to as unary algebras in 5.1.15, as all of , and are unary operations, according to 4.3.9. Furthermore, as announced in 5.3.8 and 5.3.13, the category of unary -algebras is equivalent to the category of algebras in the category of -modules, and by 5.3.9, this is identical to how we defined -algebras and homomorphisms in 2.6.
In 5.1.9, an algebra over is defined by the existence of a ring homomorphism , and given an -algebra , we have a natural map . ∎
Henceforth we will consider only unital algebras.
Let denote an -field. Recall that .
Definition 2.13**.**
The dimension of an -module , denoted by , is the maximal length of a chain of decreasing elements.
Example**.**
Fix an integer , and let us denote the vertices of a regular -gon by for and the edges connecting to by . The lattice of all faces has a natural -module structure with , and , otherwise . It has dimension , since the sum of pairwise uncomparable elements is non-zero if and only if there is a single term, or two adjacent vertices.
Example**.**
Given a convex, symmetric polyhedron in such that it has a non-empty interior, the set of faces has a natural -module structure with and is the smallest face that contains and . This has dimension , as the longest chain of faces contains one of each dimension, including .
Definition 2.14**.**
For two modules and , is the coproduct, whose elements are of the form , and , with identified. The coproduct of several modules is denoted by . is the Cartesian product, with operations evaluated coordinate-wise. The product of several modules is denoted by . The free module generated by elements is given by . The free module generated by elements of a set is denoted by . The set of module-homomorphisms is denoted by .
Proposition 2.15**.**
The coproduct, Cartesian product and free module are the category theoretical coproduct, product and free object. Also, the free module generated by a set is isomorphic to the coproduct (Note that if is infinite, the coproduct is infinite as well).
Proof.
These are all trivial consequences of theorems in universal algebra. ∎
Proposition 2.16**.**
* has a natural -structure.*
Proof.
The pointwise sum and scalar multiple of two homomorphisms is a homomorphism. ∎
Remark**.**
This notion of is identical to the definition in [3], 4.6.3, further elaborated in 5.3.1.
Definition 2.17**.**
Given two -modules and , the tensor product is a module with a natural bilinear map where is the set of pairs, such that for any bilinear map for some other module , there is exactly one map that makes the diagram commute.
Proposition 2.18**.**
Given two -modules and , exists and is unique. It is generated by elements of the form with and . Furthermore is a covariant functor.
Proof.
This is a classical theorem from universal algebra, and the proof is identical to the case of vector spaces. Uniqueness can be checked via diagram chasing. We can prove the existence by constructing explicitly. Let us consider the free module generated by pairs with and , and quotienting by the congruence generated by , . Naturally, any bilinear map extends uniquely into a map .
Finally, for the functoriality, given a map , we need to construct . We may define the bilinear map defined by , and this extends into the desired map. Identity and composition can be checked as usual. ∎
Proposition 2.19**.**
, , .
Proof.
Since elements of correspond naturally to bilinear maps , there is a natural embedding to . On the other hand, a map restricts to a map that is bilinear. Therefore for is a homomorphism, and is a homomorphism from .
The second one is trivial, since an element is equal to .
For the third one, there is a natural bilinear map from to , defined as , which extends to a unique map . On the other hand, since is the coproduct, and there are maps from and to , these define a unique map . It can be shown that the composition in either direction is the identity using the universality of the tensor product and the coproduct. ∎
Remark**.**
Tensor products are in fact defined in [3], 5.3.5 using adjunction.
Definition 2.20**.**
Let be an -module. Then or denotes the tensor product , and . The congruence generated by for , for and , is the kernel of the surjective map that defines the symmetric power of . Furthermore, there are natural maps and .
Given a module , the tensor algebra and the symmetric ring of are graded rings defined as and , respectively, and multiplication is given by the above maps.
Remark**.**
In [3], the tensor algebra and symmetric ring are defined identically, in 5.3.18 and 5.3.19, respectively.
To do algebraic geometry, we need to construct the coordinate ring of an affine space. First let us introduce the polynomial ring in variables, following the definition in [3], 5.3.22.
Definition 2.21**.**
The polynomial ring in variables , …, over , denoted by , is defined as the symmetric product .
Lemma 2.22**.**
The polynomial ring generated by is isomorphic to
[TABLE]
as a module, and the ring structure may be defined as the extension of multiplication of monomials .
Proof.
First let us write as the coproduct . By 2.19, we may write as where is the set of maps from to . By symmetrizing, we get that is isomorphic to the above description. ∎
Proposition 2.23**.**
The polynomial ring in variables is the free object generated by in the category of -algebras. Then every finitely generated algebra is the quotient of a polynomial ring.
Proof.
Proving this universal property for the polynomial ring amounts to showing that given an algebra with certain elements for , there is a unique map that sends to .
Every monomial of the form has a well-defined image. Since the polynomial ring is the category theoretical coproduct of the modules , each freely generated by a monomial, maps from these modules define a (unique) map from the polynomial ring. Since this map preserves multiplication on monomials, it preserves all products.
For the second part of the theorem, we may send the variables to the generators of the algebra. ∎
Then we may define the affine space as the set of homomorphisms from the polynomial ring to the underlying field, analoguously with classical fields. Note that this is not what we will refer to as the algebraic variety, since it is not a spectrum of a ring.
Definition 2.24**.**
The affine space of dimension , , is the set consisting of ring homomorphisms from to . We will call the ring of functions of .
Lemma 2.25**.**
The points of the affine space are in a bijection with the elements of the module , and the homogeneous degree elements of the polynomial ring are in a canonical bijection with .
Proof.
A map is defined by giving the images of the variables , …, , since the polynomial ring is the free object. If the images are denoted by , …, , this gives an element , and since the may be arbirtary, this defines the bijection.
The degree part of is isomorphic to the free coproduct of modules . To see that its elements give linear maps on the module , it is sufficient to check for the generators of this module, . In fact, it is enough to check for a single variable . Consider two points , , identified by and . Their images under are and . Given a linear combination , its image is under , since is evaluated coordinate-wise in the product . This is equal to the linear combination of the images. Later we will prove 3.22, and as a consequence the finite module is isomorphic to the free coproduct , and it is in fact generated by the linear functions . ∎
As is usual in the theory of classical fields, any vector space can be given a natural affine space structure by forgetting the origin of the space. Unfortunately, contrary to the theory of classical fields, the -dimensional module is not unique. However, since any finitely generated ring is a quotient of a polynomial ring, the different spaces all arise as affine subvarieties of , and we may study them as such. Nevertheless, we will present a general definition for the coordinate ring of such spaces arising from a module, and we will call them affine cones.
With the symmetric product, we may define the ring of functions over an affine cone arising from a module . We want the homogeneous linear functions on this affine cone to be isomorphic to , as was the case for , which motivates our following definition.
Definition 2.26**.**
The ring of functions over , as an affine cone, is defined as . Then the associated affine cone, denoted by , is the set consisting of ring homomorphisms .
Example**.**
For instance, consider the module generated by , , such that . This is a module consisting of elements: . Then the ring of functions is isomorphic to . It is a simple verification that is in a bijection with , hence it gives rise to an affine cone that is not isomorphic to .
[math]-u$$u$$v$$-v
Note that contrary to the case of classical rings, an affine cone based on a module preserves its origin: any non-constant function of evaluates to [math] in the origin, while as we will see in later chapters, there is at least one linear function for every other point that does not send it to [math].
3 Ordered structure
Recall from Proposition 2.4 that an -module for a given -field has a natural partial order. It has many of the usual properties of an ordered algebraic structure:
Proposition 3.1**.**
Given an -module and elements , , such that , we have and , and if , we have and . In particular, if then as well. Also, if and then .
Proof.
These are elementary consequences of the definition, the idempotence of additivity and distributivity. ∎
Such a module is in fact a semilattice with respect to the meet-operation, . It has clearly no lattice structure, since if , for some and , we would have and , a contradiction. This can be salvaged by the introduction of a largest element.
Definition 3.2**.**
For an -module , we will denote by the set where for all , and call it the order closure or closure of . We may extend the operations as partial operations via and for . is undefined.
Definition 3.3**.**
An -module is called a lattice if the order closure of has a lattice structure. This means that for any , , there is an upper bound .
Theorem 3.4**.**
A finitely generated -module is a lattice.
Proof.
If is finitely generated, then there is a finite set of generators, and the sum is finite and well-defined. Now assume that , . Since is finitely generated, there is a finite subset such that . Then , for all , hence . Therefore is a lower bound to . ∎
The lattice structure permits us to construct a dual lattice, one where and switch places. For finite modules, it turns out that the dual lattice has a natural algebraic meaning: the module of linear functions to . This can be expressed through the natural duality.
Definition 3.5**.**
For an -module , there is a natural duality defined as if , and [math] if no such exists. We extend it to , defined via , , .
Proposition 3.6**.**
The natural duality on is well defined, and in particular, the map is a homomorphism from to for all . Also, for .
Proposition 3.7**.**
If is a finite module, then there is a natural order-reversing bijection between and where , and the addition on is given by .
Proof.
Any element gives a natural map . Consider a function that is not trivially zero. Then the sum is well-defined, and . ∎
Now let us look at how to define dual modules for infinite modules. The following propositions show the naïve way of looking at homomorphic maps to the base field.
Proposition 3.8**.**
For a given -module , homomorphic maps are in a bijection with filters , given by .
Proposition 3.9**.**
The set of filters on a given -module form an -module , given by , and for .
Proposition 3.10**.**
There is a natural injection , given by sending to . This is not always a bijection.
This is in contrast to the finite case, when and are isomorphic. By introducing a weak form of topology, we can define a better concept of dual module.
Definition 3.11**.**
A principal filter of an -module is a filter of the form , and it is said to be generated by . We say that an -module has a topology with respect to filters if all principal filters are closed. A topology with respect to the order is such that and all sets of the form are closed.
When no topology is specified, we may assume the discrete topology where all filters are closed.
Given a filter and an element , we will denote by if , and if no such exists. This is compatible with the natural duality for principal filters: .
Definition 3.12**.**
If is an -module with topology with respect to filters, let us denote by the set of closed filters. It is called the dual module of . is an -module, where , , . Its filter-topology has a closed basis given by for all , and is a topology with respect to filters. Its weak topology is generated by all and their complements , and is a topology with respect to the order.
Proposition 3.13**.**
Given a descending sequence in indexed by a directed set , the intersection is an accumulation point with respect to either the filter-topology or the weak topology.
Proof.
Consider the point . To prove that it is an accumulation point, we need to show that every open set containing contains all for for some . Since an open basis is given by the complement of , all open sets containing must contain an open set of the form for a finite set , hence it is enough to show this statement for open sets of this form. Since , this is equivalent to for all , and since is the intersection of all , there is an for all such that . Being a directed set, contains an index such that for all , because is finite, and since is descending, for all and . Hence . The case of weak topology is similar, but open sets of the form may also appear in the intersection . ∎
Corollary 3.14**.**
Given a closed filter in either the filter-topology or the weak topology on , and a subset , the infinite intersection exists and is an element of .
Proof.
Since the elements of are closed filters on , their intersection is also a closed filter, hence an element of . We only need to show that it is an element of . This can be proven by transfinite recursion on the cardinality of . When is finite, it is a trivial consequence of the definition of a filter. When is infinite, let be the powerset of , and for , let . By transfinite recursion, all exist and are contained in . Then is a descending sequence, and the intersection is its accumulation point. Therefore it is in . ∎
Theorem 3.15**.**
Given an -module, there is a natural embedding , given by .
Proof.
This is a homomorphism since , an embedding since is such that if and only if , so if and both contain and , then . ∎
Definition 3.16**.**
A module is complete if every closed filter is principal.
Theorem 3.17**.**
A complete module is a lattice, and it admits an order reversing isomorphism to its dual.
Proof.
The second part of the statement is a trivial consequence of the definition of a complete module. Consider a complete module and two elements , . The filter is closed and contains all elements such that , . Since is complete, is principal, generated by , hence , and for all , . ∎
Proposition 3.18**.**
Every finite module is complete with respect to the discrete topology.
Proof.
Every filter is finite, hence it is generated by the sum of its elements. ∎
Theorem 3.19**.**
The module is complete and is a lattice, with respect to either the filter-topology or the weak topology.
Proof.
Given a closed filter , the intersection is an element of . Since for all , is the principal filter generated by . ∎
Since the closed filters of are the same in the filter-topology and the weak topology, is isomorphic as an -module whether is endowed with one or the other. Since there is an isomorphism for complete modules , the weak topology can be defined for them as well.
Proposition 3.20**.**
Every complete module with a topology with respect to filters has a refined topology with respect to the order, referred to as its weak topology, and the order reversing bijection is continuous.
Proposition 3.21**.**
Consider two -modules and , with either the discrete topology, or a topology with respect to filters. Let us define the closed filters of to be those filters where and are closed. Then , where is the module of continuous homomorphisms to with the topology with respect to filters.
Proof.
Elements of are closed filters on , while elements of are continuous maps from to closed filters of . Given a filter on and a map , we will identify them if for any and , if and only if . It can be checked that this defines a bijection between filters on and maps .
Now assume that there is corresponding pair of a filter and a map . Given an element , we need to see when is closed. It consists of those where , which is a closed set if is closed. To make continuous, let us fix a closed set from the basis of topology of , for some . Then . Since if and only if , we get , which is closed if is closed. Furthermore, if maps pointwise to closed filters and is continuous, then is closed as well. ∎
Proposition 3.22**.**
, .
Proof.
Since defines a contravariant functor from the category of -modules to itself, and the product and coproduct are dual to each other, these equalities hold. ∎
Definition 3.23**.**
Given a module with a topology, we say that all sums exist if for any set there is a lower bound.
In particular, finite modules (with the discrete topology) and complete modules with the weak topology are such that all sums exist.
Proposition 3.24**.**
Assume that all sums exist in . A homomorphism admits a natural dual , identified by where is defined through .
Proof.
There is a natural map defined as , so we just have to prove that it is indeed given by the above identification. Consider the defined as in the statement, and denote . We have if and only if . We need to prove that for all .
Consider a . The set is in fact a filter generated by , since is order preserving, hence if and only if . Since is the sum of all elements in , this is equivalent to , and by the definition of , this is . Since this is an equivalence, this also entails that if and only if . ∎
Given two finite modules, and , a homomorphism is certainly determined if the image of generators of are given. However, not all such maps on the generators extend to the whole .
Lemma 3.25**.**
Let and be modules, and be a set of generators of closed under multiplication, and a set of generators of closed under multiplication. There is a bijection between homomorphisms and pairs of operation-preserving maps and such that in if and only if in for and .
Proof.
If there is a homomorphism , then clearly and satisfy the condition. Conversely, a map extends to a homomorphism if and only if for every pair of sums with and , we have . Consider such a pair, and denote and . If , there is at least a single such that but in , or vice versa. Since for some if and only if , clearly and . However, by our assumption, , a contradiction. ∎
The following theorem shows which homomorphisms exist.
Theorem 3.26**.**
Let and be modules, either finite with the discrete topology, or complete with the weak topology. Let be a set of generators of closed under multiplication, and a set of generators of . Given a map that preserves operations, this extends to a homomorphism from if and only if for each , is such that for any finite subset and , if then .
Proof.
Clearly if such a map exists, is closed under addition, and all its elements are generated by . Conversely, let us construct a map by defining . If is finite or complete with the weak topology, such a sum exists. Also, if , then , hence , satisfying the conditions of the previous lemma. Hence a homomorphism exists. ∎
4 Congruences and ideals
4.1 Congruences
A congruence in an -module or -algebra is an equivalence relation compatible with the natural algebraic structure.
Definition 4.1**.**
A congruence in an -module is a set of pairs where , so that
- •
for every , ,
- •
if and , then ,
- •
if , then , and finally
- •
if , then for every we have that .
A congruence in an -algebra is a congruence on the underlying module that furthermore satisfies
- •
if , then for every we have that .
Clearly, the smallest congruence, , is the set of diagonal pairs, , for either modules or algebras. The maximal congruence is the set of all pairs. Moreover, notice that if is a congruence of an -module , then is also an -module. Likewise, if is a congruence of an -algebra, is also an -algebra.
Restricting our study to algebras, annihilators of elements of give rise to congruences.
Lemma 4.2**.**
Let and a congruence in . Then the set of pairs
[TABLE]
is a congruence.
Proof.
We leave the proof of this statement to the reader. ∎
4.2 Ideals
Since modules are partially ordered sets, we may define their ideals and filters. Note that ideals will be defined differently for modules and algebras. Let us fix an -module .
Definition 4.3**.**
An ideal of a module, is such that and and . A filter of a module, is such that if then and , and also .
Definition 4.4**.**
The ideal (or kernel) of a congruence is the equivalence class of [math]. The maximal congruence for an ideal , if it exists, is the maximal congruence whose ideal is .
Definition 4.5**.**
A maximal filter with respect to an ideal is a maximal filter among filters that do not intersect . A maximal filter is one that is maximal with respect to the trivial ideal . A module is separable with respect to the order or just separable if for any pair of distinct elements , , there is a maximal filter such that and , or vice versa.
Lemma 4.6**.**
For an ideal and an element , there is a maximal filter with respect to that does not contain .
Proof.
Zorn’s lemma. ∎
Theorem 4.7**.**
In a module , every ideal has a corresponding maximal congruence , characterized by the property that is separable.
Proof.
Every ideal has a corresponding minimal congruence such that if and only if or , . Therefore, by passing to , it is enough to check the statement for .
Let us denote by the set of maximal filters containing . Let us define the equivalence relation as if and only if . This is a congruence, since , and . Furthermore, is separable.
We only need to show that this is in fact the maximal congruence. We may pass to the module via the assumption , meaning that is separable. Assume that there is a non-trivial congruence whose ideal is trivial, meaning that for some distinct pair of elements. Since is separable, we have a maximal filter such that, for instance, and . Since is maximal, the filter generated by and contains [math], that is for some . Under the congruence , we get . Since , , and is a filter, as well, and so . Then the ideal of contains a non-zero element , contradicting our assumption. ∎
A similar result can be achieved for algebras. Let us fix an algebra .
Definition 4.8**.**
An ideal of an algebra, is such that it is an ideal of the module, furthermore . A maximal filter with respect to an ideal is a maximal filter of the underlying module. A quasimaximal filter with respect to an ideal , is such that there is a maximal filter and an (possibly ) such that . A quasimaximal filter is one that is quasimaximal with respect to the trivial ideal . An algebra is quasiseparable if for any pair of distinct elements , , there is a quasimaximal filter such that and , or vice versa.
We shall denote the set by .
Theorem 4.9**.**
In an algebra , every ideal has a corresponding maximal congruence , characterized by the property that is quasiseparable.
Proof.
The proof is similar to the case of modules. Every ideal has a corresponding minimal congruence, therefore, by passing to , it is enough to check the statement for .
Let us denote by the set of quasimaximal filters containing . Let us define the equivalence relation as if and only if . Clearly , . Furthermore if , we need to prove . The antecendent means that if and only if for all maximal filters and . In particular, this holds for for any , hence if and only if . This determines that . Also, is quasiseparable.
To show that this is in fact the maximal congruence, we pass to the algebra . Let us assume that is quasiseparable and is the trivial congruence. Assume that there is a non-trivial congruence whose ideal is trivial, meaning that for some distinct pair of elements. Since is quasiseparable, we have a maximal filter and such that, for instance, and . Since is maximal, the filter generated by and contains [math], that is for some . Under the congruence , we get , and . Then the ideal of contains a non-zero element , contradicting our assumption. ∎
4.3 Congruences in -fields
In this section we investigate fields over and we prove some elementary statements which are needed for our proof of the prime decomposition. Recall from 2.6 the following.
Definition 4.10**.**
We say that an -algebra is a field, if every has a multiplicative inverse.
Fields over can have non-trivial congruences, on the other hand, the kernels of these congruences are always trivial.
Lemma 4.11**.**
Let be a field over , and a proper congruence. Then the kernel of is trivial.
Proof.
Assume that for some . Then, is a unit, hence implying that cannot be proper. ∎
Therefore, by Theorem 4.9, the field has to have a unique maximal (proper) congruence. We construct this unique maximal congruence.
Proposition 4.12**.**
Let be a field over . Then, the set is a congruence.
Proof.
We begin with proving transitivity. Assume that and , we prove that . It is enough to show that whenever and , then . Indeed consider
[TABLE]
and since every element on the left hand side is a unit, thus the right hand side cannot be [math].
Next we show that if and , then . Indeed, it is enough to show that whenever and , then either or . Consider the following product
[TABLE]
We see that if , then .
Finally, we show that if for and then . Clearly either or and in this case . ∎
The above congruence is indeed maximal, since if for some and , then and by Lemma 4.11 it cannot be proper.
Now, we characterize all congruences. Notice that a congruence of a field can be characterized by the equivalence class of 1.
Proposition 4.13**.**
Let be a congruence. Then, if and are in the equivalence class of 1, then so are , , for every satisfying .
Proof.
The first two assertions are trivial. We prove the third one. Since and , therefore and are in , and thus so is . ∎
Actually this completely characterizes a congruence.
Proposition 4.14**.**
Let be a subset of so that whenever , then , and are in as well for every so that . Then, the set
[TABLE]
is a congruence.
Proof.
The only assertion which is not trivial is that if and then . If , then , and hence , and hence . Otherwise, if , then by symmetry we get that and we are done. ∎
An easy corollary of the above characterization is the following.
Corollary 4.15**.**
Let , then the equivalence class of 1 in congruence generated by is the set
[TABLE]
Proof.
We see that these elements have to be in the equivalence class and we also see that this set is closed under the operations listed in Proposition 4.14. ∎
5 Prime congruences
In this section we define prime congruences and we prove some simple statements about them. We also explicitly compute all prime congruences of . We begin with the motivation.
In the work of Dániel Joó and Kalina Mincheva ([5]), prime congruences were defined in additively idempotent semirings in a very straightforward manner. If the semiring were a ring, and a congruence in it, would hold if and only if . For any pairs and , their product if and only if . Therefore they defined to be a prime if entails that either or , and this definition holds in semirings in general.
Unfortunately, for our -algebras, this condition is too strong, since choosing , , and , hence all . For intuition, we turned to the ring . In Nikolai Durov’s work ([3]), is isomorphic to the closed interval , and instead of addition, we have convex combinations, such as . To avoid the absorbing properties of [math], let us interpret the condition for some congruence as the harmonic difference , instead of the standard difference . Then . This motivates the following preliminary definiton for a prime congruence.
Definition 5.1**.**
We say that a proper congruence is prime if the following two conditions hold
Whenever then either
- •
* or*
- •
* or*
- •
* or*
- •
. 2. 2.
Whenever then either
- •
* or*
- •
* or*
- •
.
Remark**.**
The reason that there are two conditions is that the direct sum contains other elements than pairs of elements.
Once prime congruences are specified, we can define of any -algebra (as a topological space) as follows:
Definition 5.2**.**
Given a congruence in -algebra we denote the set of all prime congruences containing by . Let be the spectrum of , consisting of prime congruences. The closed sets of are generated by those of the form where is a congruence.
Lemma 5.3**.**
Let be a prime congruence. Then implies that or .
Proof.
Assume first that holds for a prime congruence . Applying the second condition for , and that either or holds in .
Now, assume that holds for a prime congruence . Applying the second condition for , we get that either , or or . If , then , therefore . ∎
Lemma 5.4**.**
Let be a prime congruence. Assume that neither nor holds in . Then implies that .
Proof.
Trivial. ∎
The above lemmas show that we can simplify our notion of a prime congruence to the following equivalent definition.
Definition 5.5**.**
We say that a proper congruence is prime if the following two conditions hold
Whenever then either
- •
* or*
- •
* or*
- •
* or*
- •
. 2. 2.
Whenever then either
- •
* or*
- •
.
From now on, we use this definition for a prime congruence. Instead of writing we will write . We proceed with some simple lemmas needed to characterize the prime congruences of .
Lemma 5.6**.**
Let be a prime congruence. Then for any two elements we have that or or in .
Proof.
We can assume that neither nor is identified with [math] in . Consider the following identity
[TABLE]
From the first condition, we obtain that either , or is in for all . ∎
As a consequence we see that if is a prime congruence, then is a union of totally ordered chains with sums of elements in different chains being [math].
Lemma 5.7**.**
Let be a prime congruence in an -algebra so that in we have that and . Then either or .
Proof.
The statements and hold for any congruence. On the other hand if , then has to hold as well, and hence . The latter implies that . ∎
Moreover we can take roots in prime congruences.
Lemma 5.8**.**
Let be a prime congruence of an -algebra . Assume that for some . Then .
Proof.
Since is a prime congruence, therefore in , we have or or . The first two cases cannot hold, since . ∎
Now, we characterize the prime congruences of . Recall that elements of are [math] and polynomials of the form where and is finite. We begin with a simple lemma.
Lemma 5.9**.**
Let be an -algebra and assume that and hold for a congruence for some . Then . Moreover if is prime, then is also in .
Proof.
Since and , therefore
[TABLE]
also holds in which implies that .
Now, assume that is prime. Consider and . Since is prime, one of the following holds in :
- •
: In this case we get that holds, but this cannot be true, since in .
- •
: In this case and also it equals to in , therefore holds in , meaning that holds in , and we are done.
- •
: We are done.
∎
We are ready to compute the prime congruences of .
Theorem 5.10**.**
The prime congruences of are the following.
The congruence generated by . 2. 2.
The congruence generated by . 3. 3.
The congruence generated by . 4. 4.
The congruence generated by . 5. 5.
The congruence generated by . 6. 6.
The congruence generated by . 7. 7.
The congruence generated by . 8. 8.
Every , the prime congruence generated by , , … and . 9. 9.
Every , the prime congruence generated by , , … and . 10. 10.
Every , the prime congruence generated by , , … and . 11. 11.
Every , the prime congruence generated by , , … and . 12. 12.
Every , the prime congruence generated by , , … and . 13. 13.
Every , the prime congruence generated by , , … and . 14. 14.
The prime congruence generated by , , …
Proof.
Let be a prime congruence. We have three cases:
holds in 2. 2.
holds in 3. 3.
Neither of the above, in particular holds in .
We investigate all cases:
: Let be the smallest congruence so that holds in . In this case, we can replace any polynomial with its highest degree term in if all coefficients are equal, otherwise [math]. We see that the corresponding smallest congruence is indeed prime, because degree is additive.
Is there any prime congruence containing ? If is any other congruence, then either or . (If , then implies that ) If then (without loss of generality, we can assume ), but , so and in this case . Similarly, if , then , and in this case . 2. 2.
: Let be the smallest congruence so that holds in . In this case, we can replace any polynomial with its smallest degree term in if all coefficients are equal, otherwise [math]. We see that the corresponding smallest congruence is indeed prime, because degree is additive.
Is there any prime congruence containing ? If is any other congruence, than either or . If then (without loss of generality, we can assume that ), but , so and in this case . If , then , which contradicts . 3. 3.
Last case: In this case, neither of the above holds. We can also assume that neither nor holds because we can replace by and we receive one of the cases above. Let be any prime congruence in this case. We have basically three cases: for every or for some or for some or for some or for some . First, we assume that there is an expression which is not 0. Let be a smallest such , and moreover assume that we have . Then, by Lemma 5.9, the ’s satisfying have to be divisible by this . We see that the smallest congruence satisfying this condition is prime. Can a congruence contain this congruence? We see that it can only happen if in that congruence. We leave to the reader to complete the cases when or is in .
Finally, we have the case that holds for every . We can see that the smallest such congruence is prime. Can there be any prime congruence containing ? Since every polynomial containing at least 2 monomials is identified with [math], hence the only possibility is that is identified with . In that case we get that or (this cannot hold). Therefore .
∎
Geometrically, the prime congruences generated by correspond to evaluation at , and the prime congruence generated by corresponds to evaluation at . Furthermore the prime congruences listed in 12. and 13. are listed in Section 2 in the Example part. These are finite field extensions of .
Therefore, we obtain that the geometry of is very similar to , for instance the closed points of correspond to elements of and some finite extensions of .
6 Krull dimension
In this section we prove that the Krull dimension of a polynomial algebra over is the number of indeterminants.
We say that an -algebra has Krull dimension if the longest chain of prime congruences has length . We begin with an easy lemma.
Lemma 6.1**.**
Let be an -algebra of Krull dimension . Then the dimension of is at least .
Proof.
Let be the minimal element of a maximal chain of prime congruences of . Then . Moreover , since the congruence generated by is prime. Therefore
[TABLE]
∎
The next theorem gives a criterion when the dimension of exceeds .
Theorem 6.2**.**
Let be an -algebra of Krull dimension . Then either
- •
* is of dimension .*
- •
* is of dimension at least , furthermore in this case there exist four distinct prime congruences in this chain so that there exist so that , are in and for some , .*
Proof.
If the Krull dimension of is at least , then there exist prime congruences of so that and (using the natural map ) so that and . (Note that we do not assume that and are distinct).
Since each prime congruence contains , or for any elements , hence we can assume that for any , we have that and are either monomials or one of them is [math]. On the other hand if , then can be replaced by a monomial in and hence in as well. Hence, we can always assume that for any we have that and are monomials (or one of them is [math]).
The same holds for any pair . Notice that if (for or ), then from the prime property we get that either (which contradicts our original assumptions) or . We separate cases.
First, we assume that there are monomials so that we have that
[TABLE]
and
[TABLE]
and furthermore does not hold in any of the congruences. Then, we can use the cancellation property and we obtain that (assuming that and )
[TABLE]
and
[TABLE]
We see that
[TABLE]
are contained in , therefore . Since and are the same once they are restricted to , therefore
[TABLE]
implying that
[TABLE]
Furthermore, since we obtain that
[TABLE]
Now, assume that , then
[TABLE]
In this case, either or . The first possibility is clearly impossible. If , then since , we obtain . This implies that , so which yields contradiction.
Therefore we have that , which implies that as well. 2. 2.
If , then clearly cannot hold. 3. 3.
If , then implies that , so and thus in as well. This implies that and hence the statement holds.
∎
Remark**.**
If for a monomial of and a prime congruence we have , then for one of the variables of we have .
Corollary 6.3**.**
The Krull dimension of is exactly .
Proof.
We proceed by induction. For , we are done. Assume that is of dimension , then we would like to prove that is of dimension . We prove that any chain of prime congruences is of length . Assume the contrary, hence, we have a chain of prime congruences of length at least :
[TABLE]
We have two cases.
Assume that none of the of the the chain of prime congruence contains any of the . Then, the second case of Theorem 6.2 cannot hold because of the above remark implying the statement of the Corollary for and . 2. 2.
One of the prime congruences contains one of the . Let be the minimal prime congruence of the chain which contains one of the . We can assume that it is . Let us denote by . Then for any and for we have that if and only if . Furthermore the second condition of Theorem 6.2 cannot hold for four prime congruences of index at most again by the previous remark. Hence the chain
[TABLE]
consists of distinct prime congruences except . By induction, we are done.
∎
7 Prime decomposition
We begin with some definitions.
Definition 7.1**.**
We say that a congruence is radical, if whenever , then or or .
Definition 7.2**.**
We say that a congruence is cancellative, if whenever , then or .
Notice that if is prime, then is radical and cancellative. Moreover
Lemma 7.3**.**
Let be a cancellative congruence, then is radical.
Proof.
Assume that . Then
[TABLE]
Since , therefore we obtain that , which implies that either or . If the first statement holds then . If holds, then by a symmetric line of thoughts we obtain that , so . ∎
Note that in an -field every congruence is cancellative, hence radical. Morevoer, annihilators with respect to radical congruences are always radical.
Lemma 7.4**.**
Let be a radical congruence of an -algebra . Then, for every , is radical.
Proof.
Assume that . Then, clearly , therefore . ∎
We can also define annihilators of pairs as . This set is basically never a congruence, on the other hand, it is radical in the sense that if , then for every radical congruence .
In cancellative congruences, we can take roots of elements as explained in the following lemma.
Lemma 7.5**.**
Let be a cancellative congruence of an -algebra . Then, if , and and , then for every , .
Proof.
We prove the statement by induction. For , it is trivial. For , we consider , or in other words,
[TABLE]
Since , hence in ,
[TABLE]
[TABLE]
[TABLE]
Since is cancellative, we obtain that .
We assume that the statement is true up to , and we would like to prove it for . Consider , or in other words,
[TABLE]
Since and by the inductive hypothesis
[TABLE]
we have that in , the following equations hold
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
and we are done. ∎
As a Corollary we obtain the following surprising statement.
Corollary 7.6**.**
Let be a field over , and assume that for some elements such that and . Then any pair of the congruence generated by is annihilated by , in other words, .
Proof.
By Corollary 4.15 the congruence generated by consists of pairs of the form
[TABLE]
for some , and some coefficients , so that . Therefore every pair is of the form
[TABLE]
Hence, after foiling out we see that any pair in the congruence generated by can be written as a sum of
[TABLE]
for some . By the previous statement, our Corollary follows. ∎
The following proposition enables us to work with fields instead of cancellative algebras.
Proposition 7.7**.**
Let be an -algebra, then if is a cancellative congruence, then embeds into a field.
Proof.
We leave it to the reader that the standard construction of a fraction field works here. ∎
One big advantage of working with fields is that we can more easily construct prime congruences.
Lemma 7.8**.**
Let be an -field and . Then, a maximal congruence among all congruences which does not contain is a prime congruence.
Proof.
First of all, to make sense of the statement, we see that is a congruence not containing , and hence, by Zorn lemma, there is a maximal congruence, and we denote it by .
If , then implies that . Since a field has a unique maximal congruence which is prime, we are done in this case.
We assume that . We show that is prime. Suppose the contrary. One of the two assertions of being a prime has to fail. Assume that there exists such that , but , , and . The latter two conditions imply that and . We leave it to the reader to show that the second assertion of being a prime cannot fail.
For simplicity, we look at . In this field, any non-trivial congruence contains . Consider the congruence generated by . By Corollary 7.6, any in the congruence generated by is annihilated by . So we obtain that in . By a similar argument, using that , we obtain that which is a contradiction because every congruence in an -field is radical. ∎
We are ready to prove our main theorems of this section.
Theorem 7.9**.**
Let be an -field. Then the trivial congruence is the intersection of prime congruences.
Proof.
Assume that it is not, hence the intersection of all prime congruences contains a tuple where . Without loss of generality we can assume that , and using the above Lemma, we obtain that there is a prime not containing our tuple. This is a contradiction. ∎
Theorem 7.10**.**
Let be a cancellative congruence in the -algebra . Then is the intersection of all prime congruences containing .
Proof.
This follows from Lemma 7.7 and Theorem 7.9. ∎
Nikolai Durov in his thesis ([3]) defines a family of spectra. The minimal spectrum, the one he refers to as the unary spectrum (6.1) is a straight-forward generalization of the spectrum given by prime ideals. Theorem 7.10 shows that our prime spectrum, given by prime congruences, is a refinement of Durov’s unary spectrum, as every prime ideal gives rise to a congruence generated by it that is cancellative.
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