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We explain the construction of fields of formal infinite series in several variables, generalizing the classical notion of formal Laurent series in one variable. Our discussion addresses the field operations for these series (addition, multiplication, and division), the composition, and includes an implicit function theorem.
MSC 2010: primary, 13F25; secondary, 05A15
Keywords: Formal power series
1. Introduction
The purpose of this article is twofold. In the first part (Sections 2, 3, 4), we explain how to construct fields of formal Laurent series in several variables. This part has an expository flavour. The construction we present is not new; similar constructions can already be found in the literature. However, the justification of their validity is usually kept brief or more abstract than necessary. We have found it instructive to formulate the arguments in a somewhat more concrete and expanded way, and we include these proofs here in the hope that this may help to demystify and popularize the use of formal Laurent series in several variables. The results in the second part (Sections 5–6) seem to be new. We discuss there the circumstances under which we can reasonably define the composition of multivariate formal Laurent series, and we present a version of the implicit function theorem applicable to multivariate formal Laurent series.
Recall the situation of a single variable. The set of formal power series with coefficients in some field forms an integral domain together with the usual addition and multiplication. Such a series admits a multiplicative inverse if and only if (see, e.g., [14], [10]). If is any nonzero element of , then not all its coefficients are zero, and if is the smallest index such that , then we have for some which admits a multiplicative inverse. The object qualifies as a multiplicative inverse of . In the case of a single variable, we may therefore define as the set of all objects where is some integer and is some element of . Then together with the natural addition and multiplication forms a field. This is the field of formal Laurent series in the case of one variable.
The case of several variables is more subtle. The set of formal power series in two variables with coefficients in also forms an integral domain, and it remains true that an element admits a multiplicative inverse if and only if . But in general, it is no longer possible to write an arbitrary power series in the form where admits a multiplicative inverse in . As an example, consider the series . If we want to write for some , we have . In order for to have a nonzero constant term, we can only choose or , but for these two choices, is or , respectively, and none of them belongs to .
There are at least three possibilities to resolve this situation. The first and most direct way is to consider fields of iterated Laurent series [17, Chapter 2], for instance the field of univariate Laurent series in whose coefficients are univariate Laurent series in . Clearly this field contains , and the multiplicative inverse of in is easily found via the geometric series to be
Of course, viewing as an element of leads to a different expansion.
The second possibility is more abstract. This construction goes back to Malcev [11] and Neumann [13] (see [15], [17] for a more recent discussion). Start with an abelian group (e.g., the set of all power products with exponents and the usual multiplication) and impose on the elements of some order which respects multiplication (see Section 3 below for definitions and basic facts). Define as the set of all formal sums
with for all and the condition that their supports contain no infinite strictly -decreasing sequence. If addition and multiplication of such series are defined in the natural way, it can be shown that is a field (cf. Theorem 5.7 in [13] or Corollary 3.1–11 in [17]).
The third possibility is more geometric and goes back to MacDonald [12]. He considers formal infinite sums of terms of the form where the exponent vectors are constrained to some fixed cone . It turns out that for every cone not containing a line, these series form a ring (Theorem 10 below; see Section 2 below for definitions and basic facts concerning cones). MacDonald shows using a multivariate generalization of the Newton–Puiseux method that for every polynomial one can find a cone such that the corresponding ring contains a series (possibly with fractional exponents) such that . The rings of MacDonald are not fields, but Aroca, Cano and Jung [2], [3] observe that a field can be obtained by taking the union of all the rings for some suitable collection of shifted cones (similar to Theorem 15 below). Again allowing fractional exponents, Aroca et al. show that the fields constructed in this way are even algebraically closed. Their elements can thus be considered as the natural multivariate generalizations of Puiseux series.
The construction we give below is, in a sense, a mixture of the approach by Malcev and Neumann on the one hand, and MacDonald–Aroca–Cano–Jung on the other hand. Our goal was to keep the geometric intuition inherent to the latter while at the same time avoiding any technical considerations related to Newton polygons. Our construction is more specific than Malcev–Neumann’s in that we do not consider arbitrary groups as carriers of the series, and it is more specific than MacDonald–Aroca–Cano–Jung’s in that we do not consider rational exponents. Our series are thus formal infinite sums of terms of the form where ranges over (some suitable subset of) . A need to reason about such series arises for instance in lattice path counting (see, e.g., [6] and references given there), in Ehrhart’s theory of counting integer points in polytopes (see, e.g., [5] and references given there), or in MacMahon’s theory of integer partitions (see, e.g., [1] and references given there). We want to promote them as natural multivariate generalization of the notion of formal Laurent series.
2. Cones
In general, a cone
is a set with the property that whenever and , then . The cones we consider here have the following special properties.
Definition 1
A cone is called
1.
finitely generated if there exist such that
In this case is called a generating set for .
2.
rational if it is finitely generated and has a generating set
3.
line-free if for every we have .
Since we will be only considering rational finitely generated cones in this article, we drop these attributes from now on and only say “cone”. With this convention, cones are obviously closed, they obviously all contain , and they are obviously unbounded or equal to . It is also easy to see that all cones are convex (i.e., for all and for all we have as well), and that implies . Finally, when are cones, then so is . The following facts are less obvious, but also well-known.
Proposition 2
Letbe a closed and convex set.
1.
is unbounded if and only if there existwithsuch thatfor all(i.e.,contains a ray).
2.
Letand. Then for allwe have.
Proof
See statements 1 and 2 in Section 2.5 of Grünbaum [9]. □
In order to give a meaning to an operation (e.g., multiplication) for formal infinite series, we will ensure that every coefficient of the result (e.g., the product) depends only on finitely many coefficients of the operands (e.g., the factors). For some of the operations defined below, it turns out that this property can be shown using the following two lemmas.
Lemma 3
Letbe a cone andbe a closed and convex set with. Then for every, the setis bounded.
Proof
Fix and set . Assume that is unbounded. Since and are closed and convex, is also closed and convex, and Proposition 2(1) implies the existence of with and for all . We show that in order to arrive at a contradiction.
Indeed, with it first follows that . Since also , it follows from Proposition 2(2) that for all . In particular .
Similarly, Proposition 2(2) applied to the convex set and the points and imply for all . Therefore , and finally . □
Lemma 4
Letbe a line-free cone and. Then there exists a finite subsetofsuch that.
Proof
If is the cone generated by the unit vectors (i.e., ), then this is the classical Dickson Lemma [8], [4].
The general case is reduced to this situation as follows. Let be a set of generators of . Then each can be written as for some nonnegative . Setting , we have for some which is a linear combination of the with coefficients in .
Since is a bounded set, its intersection with is finite, say . For a fixed vector , let be the set of all vectors such that . Then by the original Dickson Lemma, for each of these sets there is a finite subset such that for all there exists with , viz. for . Then, since is a cone, we also have .
It finally follows that the finite set has the desired property. □
3. Orders
Definition 5
A total order on is called additive if for all we have
An additive order is called compatible with a cone if for all .
We take the freedom to write instead of , and instead of , and similar shorthand notations.
The additivity of an order implies that when are such that , then also for every nonnegative . Note that this is not only true for integers but also for any rational numbers for which . The reason is that for an additive order we have for every positive integer , which allows us to clear denominators.
Example 6
1.
Let be some vector whose components are linearly independent over . For , define
where refers to the standard scalar product on . Then is an additive order.
Geometrically, can be interpreted as follows. The affine hyperplane divides into two open half spaces, one towards the direction to which points and one towards the opposite direction. We have if and only if belongs to the half space in the direction of .
The requirement that the coordinates of be linearly independent over ensures that is indeed a total order, for if are such that and , then , so , and hence, since the coordinates of and are integers, .
If is a line-free cone and , then is compatible with . Moreover, it follows from Lemma 3 that for every there exist only finitely many such that . This need not be the case for every additive order, as shown in the following example.
2.
For , the lexicographic order is defined by letting if and only if or the leftmost nonzero coordinate of the vector is negative. This is an additive order.
If is a cone which contains no vector where any of the coordinates is negative, then is compatible with . With this order, it may happen that for a fixed there are infinitely many with . For instance, if contains and , then for every .
However, it is still true that is a well-founded order on . We show in Lemma 8 that this is true for every additive order.
The following two lemmas contain the key properties regarding cones and additive orders which we will use below. The first of them is straightforward, and the second is a reformulation of Lemma 4.
Lemma 7
Letbe cones and letbe an additive order on. Letbe a set of generators for.
1.
Ifis compatible with, thenis line-free.
2.
is compatible withif and only iffor all.
3.
Ifare compatible with, thenis also compatible with.
Proof
1.
If , then is trivially line-free. If , take some . Then , because is compatible with . Then , because is an additive order. Since , also , and hence .
2.
The direction “” is clear because for all . The direction “” follows from the observation made after Definition 5 that and implies .
3.
Let be a generating set for . Since is generated by , the claim follows from part 2. □
Lemma 8
Letbe an additive order andbe a cone. Ifis compatible with, thenis a well-founded order on, i.e., every strictly decreasing sequenceof elements interminates, or equivalently, every subset ofcontains a-minimal element.
Proof
Let . By Lemma 4, there exists a finite subset of such that . From the assumption that is compatible with it follows that when are such that , then . Therefore, the -minimum of the finite set is also the minimum of whose existence was to be shown. □
4. Construction
Let be a field and be indeterminates. We consider formal infinite series of the form
where the sum runs over all , the are elements of , and is a short-hand notation for .
These objects form a vector space over together with the natural addition and scalar multiplication, for if
then the coefficient of in is simply , which is clearly an element of for any fixed .
Multiplication is more delicate. In the natural definition
the inner sum ranges over infinitely many elements of , which is not meaningful in general. To make this summation finite, we restrict the attention to series whose support is contained in a fixed line-free cone.
Definition 9
Let be a line-free cone. Then we define the set
Using Lemma 3, it can be shown that every coefficient in the product of two elements of is determined by a sum with only finitely many nonzero terms. The support of the product is again contained in , as is the support of the sum of two elements of . Therefore, we have the following theorem.
Theorem 10
together with the natural addition and multiplication forms a ring.
Proof
To see that multiplication is well defined, we need to show that for every there exist only finitely many such that and . Since is line-free, we have . We can therefore apply Lemma 3 to and , and obtain that is bounded. A bounded subset of can only contain finitely many points with integer coordinates, so is finite, and this is what was to be shown.
To see that is closed under multiplication, consider some . In order for the coefficient of some term in the product of two elements of to be nonzero, there must be at least one such that as well. Since is a cone and cones are closed under addition, .
Closure under addition is obvious, and it is also obvious that the neutral elements 0 and belong to . □
When is the cone consisting of all vectors with nonnegative components, is the usual ring of formal power series in . This ring is an integral domain, and a series admits a multiplicative inverse if and only if its constant term is different from zero. Both properties generalize to rings for arbitrary line-free cones . The proof ideas are the same as for the usual formal power series ring .
Theorem 11
Ifis a line-free cone, thenis an integral domain.
Proof
Let and be two nonzero elements of . This means both and are nonempty. Let . We show that is not zero, i.e., that is not empty.
Fix some additive order on which is compatible with and let . If and are such that , then we necessarily have and , because or would imply
Therefore, the coefficient of in is
because and . □
Theorem 12
Letbe a line-free cone and. Then there existswithif and only if.
Proof
Assume that . We show that no multiplicative inverse of exists. Indeed, if is any element of then the coefficient of in the product is , while for a multiplicative inverse we would need .
Assume now . We show that a multiplicative inverse of exists. Fix an additive order compatible with . Let be a series with undetermined coefficients . Set , which is possible because . Then the constant term of is 1, regardless of the values of the other . We now show by noetherian induction on that there is a unique way to choose the coefficients for such that the coefficient of in is equal to 0 for all .
Assume as induction hypothesis that this is true for all with . Then for the coefficient of in we have
Since and all the on the right hand side are uniquely determined by induction hypothesis, we can (and have to) take . With this (and only this) choice, the coefficient of in will be zero, as desired. □
In the univariate case, if the constant term of some nonzero series is zero, we can write for some and with . Then has a multiplicative inverse and we find as the multiplicative inverse of if we allow terms with negative exponents. Defining formal Laurent series via therefore already leads to a field.
In the multivariate case, it is not always possible to write a given in the form for some , as already illustrated in the introduction. But in cases where this is not possible, we can still write in the desired form if we allow to belong to an enlarged ring for a suitably chosen line-free cone containing the original cone . Then has a multiplicative inverse in this ring by Theorem 12, and we can regard as the multiplicative inverse of .
Example 13
Consider the power series from the introduction. ( is the cone generated by the two unit vectors and here.) This series can also be viewed as an element of , where is the cone generated by and . Then we have with . In this ring, has a multiplicative inverse, and therefore we can regard as the multiplicative inverse of .
If a collection of rings is such that for any two rings from the collection, the collection contains some other ring with and , and if for any two rings from the collection, the respective addition and multiplication of these rings coincide on , then the union over all the rings from the collection forms again a ring in a natural way.
We can therefore make the following definition.
Definition 14
Let be an additive order on . Then we define the sets
where is the set of all cones which are compatible with .
Theorem 15
Ifis an additive order on, thenis a ring andis a field.
Proof
To see that is a ring, consider two rings from the collection, i.e., consider two cones that are compatible with . By Lemma 7, the cone is also compatible with , so also appears in the union. Furthermore, it is clear that addition and multiplication of the rings and agree on . This shows that is well-defined as a ring.
To see that is a field, consider two nonzero elements . We show that their sum, their product, and the multiplicative inverse of also belong to . Let be cones compatible with and let be such that and for some and . Then belongs to and belongs to where is the cone generated by a generating set of , a generating set of , and the single vector . Note that and are compatible with by Lemma 7. It follows that is closed under addition and multiplication.
As for the multiplicative inverse, let and . This minimum exists by Lemma 8 and because is nonempty for nonzero . Let be a finite set such that . Such a finite set exists by Lemma 4. Let be the cone generated by a generating set of , and . By the choice of , we have for all , so by Lemma 7, the cone is compatible with . Now we can write for some with nonzero constant term. By Theorem 12 there exists a multiplicative inverse . Hence belongs to , as claimed. □
Example 16
Consider the univariate polynomial . The only two additive orders on are the natural order and its reverse.
With respect to the natural order , the smallest exponent of is 0, so has a multiplicative inverse in . Its coefficients can be determined following the proof of Theorem 12, the result being
Let now denote the reversed order, i.e., . Then the smallest exponent of with respect to this order is 1. Write . The smallest exponent of with respect to is 0, so this series does have a multiplicative inverse in . Its first terms are . Consequently, the multiplicative inverse of in reads
More generally, the various possible series expansions of a multivariate rational function can be obtained as follows. An exponent vector qualifies as a minimal element if there exists an affine hyperplane which contains and which is furthermore such that all other elements of belong to the same of the two open half spaces defined by . Geometrically, these points are the corner points in the convex hull of . For each such corner point , the cone generated by the elements of is line-free, and there exists a series expansion of in .
The coefficients in these series expansions all satisfy a multivariate linear recurrence equation with constant coefficients, which can be read off from the denominator polynomial. In the univariate case, also the converse is true: every sequence satisfying a linear recurrence with constant coefficients is the coefficient sequence of a series expansion of a rational function. The latter implication is no longer valid in the case of several variables. As worked out by Bousquet-Mélou and Petkovšek [7], a multivariate power series whose coefficient sequence satisfies a linear recurrence equation with constant coefficients need not be rational, not even algebraic, not even differentially algebraic.
5. Composition
Our next goal is to understand the composition of multivariate Laurent series. In order to formulate the results, it is convenient to adopt the following notation. If is any series, then for any fixed we write for the coefficient of in . Furthermore, if is an additive order and a nonzero series, we call the leading exponent of , and the leading term. We may omit the subscript when the order is clear from the context.
For two univariate formal power series and , it is natural to define the composition as the power series . The latter expression is meaningful provided that because in this case, for some power series , and has zero coefficients for all terms of degree less than . Therefore, for every the coefficient of in is in fact the coefficient of in the finite sum . Neumann [13, Theorem 4.7] and Xin [17, Theorem 3-1.7] prove generalized versions of this criterion for compositions where is a univariate power series in the usual sense and is a Malcev–Neumann series.
We are interested here more generally in compositions where and the are formal Laurent series in several variables as defined above. In order to formally define them, fix an additive order on , let be any set and consider a function with the following two properties.
1.
For all , the set is finite.
2.
There exists a line-free cone such that for all .
We can then define as the unique element of whose coefficient of is equal to for all . The first requirement ensures that this sum is finite for every , and the second one ensures that the support of is contained in .
Composition of Laurent series can be viewed as a special case of the construction just described: let be an additive order on and an additive order on , let and , let and define
Then the composition is defined as the sum , provided that this sum exists in the sense defined before.
The main result of this section is the following sufficient condition for the existence of the composition.
Theorem 17
Letbe a line-free cone and. Letbe an additive order onand. Letbe the matrix whose-th column consists of the leading exponent. Letbe a cone containingas well asfor. Suppose thatand thatis line-free. Thenis well-defined and belongs to the ring.
Proof
We show (1) that for every fixed there are only finitely many with , and (2) that for all .
For the second requirement, first observe that the are elements of with nonzero constant term. Therefore, by Theorem 10, Theorem 12, also is an element of for every choice . Second, because of , the exponent vector of the term belongs to for every , so the term itself belongs to . Using once more that is a ring, it follows that for every .
For the first requirement, let . Then by Lemma 3 with and playing the roles of and , there are only finitely many such that . For some fixed , consider the set . If this set is empty, it is trivially finite. If not, fix an element from the set. Then every other element of the set can be written as for some : if are two elements of the set, then , so . Therefore we can write . By Lemma 3 with and playing the roles of and , it follows that the set contains only finitely many integer points.
Altogether, we have shown that for all there are only finitely many such that . The claim follows because
by definition of and . □
Example 18
1.
The classical condition for the composition of two power series in a single variable is contained as a special case in Theorem 17. In this case, and are the positive halfline and is a 1×1-matrix whose single entry is positive if and only if if and only if .
2.
Consider a power series with negative exponents (i.e., is the negative halfline) and let be a usual formal Laurent series. Then is a 1×1-matrix whose single entry is the smallest nonzero exponent appearing in . If this is negative, then is the positive halfline, and since also , we can take for the positive halfline. Therefore is well-defined. For example, for
and
we have
3.
As an example with several variables, let be the cone generated by and , and let . Let be the lexicographic order with , and let . Then and , so
The kernel of is the vector space generated by , therefore .
is the cone generated by and , and the supports of
belong to the cone generated by and . We can therefore take for the cone generated by and . Note that this is indeed a line-free cone.
In conclusion, the composition is well-defined.
In Theorem 17, no restrictions are imposed on the series into which the are plugged: if the theorem allows the composition of some fixed set of into some fixed element of , then it also allows the composition of these into any other element of . We can therefore consider a map which to every assigns the composition . We show next that this map preserves the ring structure, a fact that is not too surprising but also not entirely trivial.
Theorem 19
Letbe a line-free cone,an additive order on, and. Letandbe defined as inTheorem 17, and assume, also as inTheorem 17, thatand thatis line-free. Then the map
is a ring homomorphism.
Proof
It is clear that , and it is also easy to verify that for all . We show the case of multiplication in some more detail.
Let . Then , and all belong to . We show that for all we have .
As shown in the proof of Theorem 10, for every , the set
is finite. Furthermore, as shown in the proof of Theorem 17, for every , the set
is finite.
Now fix an arbitrary and let . Then is finite and we have because . By the definition of multiplication and composition, and because whenever , we can write
where is a shorthand notation for . Furthermore, for with , we can write
and
Consequently,
where in the fifth step we have used and the definition of multiplication. All the performed operations are legitimate because all the sums involved are finite. □
One of the consequences of Theorem 19 is an alternative way to determine the coefficients of a multiplicative inverse of a series with . For the univariate series we know . Applying Theorem 19 to gives , so
Therefore, in order to determine the coefficient of some term in we can simply choose a term order compatible with and sum up all the powers for which . The coefficient of in is then equal to the coefficient of in this sum.
6. Equations
Finally, we consider the question under which circumstances an equation can be solved for in some field of multivariate Laurent series. The results below are variants of the implicit function theorem answering this question. For better readability, we have split the derivation into two theorems, the first serving as a lemma used in the proof of the second. The proof of Theorem 20 follows closely one of the many proofs of the classical implicit function theorem [16]. In Theorem 21 we then relax the hypothesis by making use of the fact that is a field.
Theorem 20
Letbe a line-free cone, and let
be such thatand. Then there exists exactly onewithand.
Proof
First observe that the composition is legitimate for every whose constant term is zero. For this is obvious, and for it follows from Theorem 17 as follows. Regard as an element of , where denotes the positive halfline. Note that is a line-free cone. Taking , and , we have where is the identity matrix of size and . Since is generated (as cone) by 1, is generated (as vector space) by , and belongs to , we have , as required. Because of Theorem 15, there exists a cone containing and , and since implies , this cone also contains , as required.
Turning to the claim of the theorem, fix some additive order on which is compatible with . Consider an ansatz with and otherwise undetermined coefficients . We show by noetherian induction that there is precisely one way of choosing the coefficients such that for all .
Let and suppose as induction hypothesis that the claim is true for every with . The coefficient of in is
The terms only depend on coefficients with , because and and together imply
for every , and the expression on the left hand side denotes the smallest possible exponent vector for which the corresponding coefficient may depend on . By assumption, the coefficients for are uniquely determined, and hence in order to have , there is one and only one choice for , as claimed. □
Theorem 21
Letbe an additive order on, letbe a cone compatible with, and let
be such that, andfor allwith. Then there exists exactly onewithand.
Proof
Because of Theorem 11, we have if and only if for every . It is therefore sufficient to prove the theorem for
in place of . We show that satisfies the requirements of Theorem 20. To do so, we need to show that , and that there is some line-free cone such that for all .
Since for all by definition, it is immediate that , and that for every with . Furthermore, implies , which in turn implies . For with , we have by assumption that . Lemma 4 applied to yields a finite subset of such that . Let be the cone generated by , some -compatible cone containing , and . Then is finitely generated, compatible with (hence also line-free; cf. Lemma 7), and contains for all . Therefore, by Theorem 20, there exists exactly one with . Since Theorem 20 still applies if we replace by any larger cone which is compatible with , it follows that there is exactly one with , as was to be shown. □
The main restriction in the above theorems is that we only allow positive powers of in . We may equivalently allow only negative powers of , but we have not been able to come up with a version of the implicit function theorem that is applicable to series where is such that its projection to the last coordinate is the full real line. Note that there is no such restriction, not even implicitly, in Theorem 17: it may well be possible that can be formed even when contains infinitely many positive and negative powers of . On the other hand, the following examples show that for such there may be more than one solution with , or no solution at all. This indicates that a naive generalization of the implicit function theorem to such series will be false.
Example 22
•
Consider the series
This series belongs to where is the cone generated by and . Because of and , we might expect that some suitable version of the implicit function theorem guarantees the existence of a unique series with . However, it turns out that there are two different solutions:
where .
•
Now consider the series
which belongs to the same ring as before.
Suppose that there is a nonzero with . If is the leading term of , then in the notation of Theorem 17, we have , and is the cone generated by and in . In order for this cone to be line-free, we must either have and or and . The only candidates for are therefore or or .
But would imply , so this case is excluded. Likewise, would imply , so this case is excluded as well and the only remaining possibility for a solution is that its leading term is if we want to use Theorem 17 to secure the existence of .
Make an ansatz for the leading coefficient of . Then and for all . Therefore, equating coefficients of in
forces , viz. . Depending on the ground field , this equation may or may not have a solution. For example, if , no such exists, and hence no with exists.
Acknowledgement
Both authors were supported by the Austrian Science Fund (FWF) under grant Y464-N18.
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