Bounds on the number of ideals in finite commutative nilpotent $\mathbb{F}_p$-algebras
Lindsay N. Childs, Cornelius Greither

TL;DR
This paper investigates the relationship between subspaces and ideals in finite commutative nilpotent $F_p$-algebras, providing bounds on the proportion of subspaces that are ideals, with applications to Hopf Galois structures.
Contribution
It establishes bounds on the proportion of ideals among subspaces in finite commutative nilpotent $F_p$-algebras and explores their implications for Hopf Galois theory.
Findings
Derived upper and lower bounds for the proportion of ideals among subspaces.
Tested bounds on specific algebra examples.
Connected algebraic structures to Galois correspondence in field extensions.
Abstract
Let be a finite commutative nilpotent -algebra structure on , an elementary abelian group of order . If is a Galois extension of fields with Galois group and , then corresponding to is an -Hopf Galois structure on of type . For that Hopf Galois structure we may study the image of the Galois correspondence from -subHopf algebras of to subfields of containing by utilizing the fact that the intermediate subfields correspond to the -subspaces of , while the subHopf algebras of correspond to the ideals of . We obtain upper and lower bounds on the proportion of subspaces of that are ideals of , and test the bounds on some examples.
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Taxonomy
TopicsAlgebraic structures and combinatorial models · Commutative Algebra and Its Applications · Algebraic Geometry and Number Theory
Bounds on the number of ideals in finite
commutative nilpotent -algebras
Lindsay N. Childs
and
Cornelius Greither
Abstract.
Let be a finite commutative nilpotent -algebra structure on , an elementary abelian group of order . If is a Galois extension of fields with Galois group and , then corresponding to is an -Hopf Galois structure on of type . For that Hopf Galois structure we may study the image of the Galois correspondence from -subHopf algebras of to subfields of containing by utilizing the fact that the intermediate subfields correspond to the -subspaces of , while the subHopf algebras of correspond to the ideals of . We obtain upper and lower bounds on the proportion of subspaces of that are ideals of , and test the bounds on some examples.
Introduction
The motivation for this work is to understand the Galois correspondence for certain Hopf Galois structures on field extensions.
Let be a Galois extension of fields with Galois group . Then the Galois correspondence sending subgroups of to subfields of containing is, by the Fundamental Theorem of Galois Theory, a bijective correspondence from subgroups of onto the intermediate fields between and .
In 1969 S. Chase and M. Sweedler [CS69] defined the concept of a Hopf Galois extension of fields for a field extension and a -Hopf algebra acting on as an -module algebra. They proved a weak version of the FTGT, namely, that there is an injective Galois correspondence from -subHopf algebras of to intermediate fields, given by , the subfield of elements fixed under the action of . But surjectivity was not obtained. Greither and Pareigis [GP87] defined a class of non-classical Hopf Galois structures, the ”almost classical” structures, for which surjectivity holds, but also gave an example where it fails. Recent work of Crespo, Rio and Vela ([CRV15] and especially [CRV16]) studied the image of the Galois correspondence for Hopf Galois structures on separable extensions with normal closure and found numerous examples where surjectivity fails. In nearly all of the cases examined in [CRV16] the Galois group of is non-abelian.
In this paper we seek to quantify the failure of the FTGT for Hopf Galois structures of the following type.
Let be a Galois extension of fields with Galois group , an elementary abelian -group of order . Suppose is a -Hopf algebra of type (that means, ), and is a -Hopf Galois extension. As shown in [Ch15], [Ch16], [Ch17], building on work of [CDVS06] and [FCC12], every -Hopf Galois structure of type on a Galois extension of fields with Galois group , an elementary abelian -group, arises from a commutative nilpotent -algebra structure on the additive group with . In [Ch17], it was shown that the sub--Hopf algebras of correspond to ideals of . For a Galois extension whose Galois group is an elementary abelian -group (or equivalently, an -vector space), the classical FTGT gives a bijection between -subspaces of and intermediate fields. So let denote the number of ideals of , and the number of - subspaces of . Then the proportion of intermediate fields that are in the image of the Galois correspondence for a -Hopf Galois structure on arising from is equal to .
As observed in [Ch17], that comparison implies immediately that if , then there are subspaces of that are not ideals, and hence the Galois correspondence cannot be surjective.
Let be the unique integer such that and ; we assume throughout that (that is, is not zero) and . To quantify the failure of surjectivity of the FTGT for a Hopf Galois structure corresponding to , we obtain in section 2 of this paper a general upper bound, depending only on , on the ratio . The upper bound implies, for example, that for and , .
Using information on the dimensions of the annihilator ideals of , we obtain in section 3 a lower bound on .
The upper bound is based on a lower bound on the fibers of the “ideal generated by” function from subspaces of to ideals of . In the final section we examine that lower bound on fibers of , and the inequalities of sections 2 and 3, for some examples.
Let denote the number of subspaces of an -vector space of dimension . Then is a sum of Gaussian binomial coefficients, also called -binomial coefficients (where ). The first section of the paper describes properties of these coefficients and obtains inequalities relating and for .
Throughout the paper, we assume that has dimension and that . Recall that is the largest number so that (so ). All vector spaces are over .
Our thanks go to the University of Nebraska at Omaha and to Griff Elder for their hospitality and support.
1. Gaussian binomial coefficients
To compare the number of ideals of a commutative nilpotent -algebra with the number of subspaces of , we need to collect some information concerning the number of subspaces of dimension of an -vector space of dimension . So we begin with Gaussian binomial coefficients.
The Gaussian binomial coefficient, or -binomial coefficient (here ), is defined as
[TABLE]
It counts the number of -dimensional subspaces of . So
[TABLE]
, and for . Then
[TABLE]
is the total number of subspaces of . Note that it suffices to replace the factors by in order to see that
[TABLE]
and that has order of magnitude for large .
(In fact, the rational function
[TABLE]
is a polynomial of degree in . For let be the numerator and denominator of . Both are monic polynomials in . Dividing by in gives
[TABLE]
where . Since is monic, and are in . Now is a positive integer for every prime , so the rational function is also an integer for every prime . But
[TABLE]
So for all primes greater than some fixed bound, and hence . So is in .)
The Gaussian binomial coefficients satisfy two recursive formulas, analogous to that satisfied by the usual binomial coefficients:
[TABLE]
Using properties of the Gaussian binomial coefficients, we will now obtain some inequalities relating the number of subspaces of -vector spaces of dimensions and for all .
Let \delta(n)=\lfloor\frac{n^{2}}{4}\rfloor=\begin{cases}n^{2}/4&\text{ if nis even}\\ (n^{2}-1)/4&\text{ ifn is odd}.\end{cases}
Lemma 1.1**.**
- a)
For all we have .
- b)
If is even, then .
- c)
If is odd, then .
- d)
For arbitrary, we have . The factor may be omitted if and have the same parity or if is even.
Proof.
a) Using the two recursion formulas for in turn we find:
[TABLE]
Summing these for gives the required inequality.
b) Let . We may calculate as follows:
[TABLE]
c) Let . Using one recursive formula, then the other, we get:
[TABLE]
(now we switch to the other recursive formula)
[TABLE]
Now observe that
[TABLE]
Therefore
[TABLE]
Thus is at least as large as the sum of the left sides of the inequalities, which is at least the sum of the right sides of the inequalities, and in view of the last observation, the sum of the right sides is at least .
d) We first note that , so by a),
[TABLE]
Iterating this shows that if and then
[TABLE]
If is even and is odd, then and by b) we find
[TABLE]
so
[TABLE]
If is odd and is even, then , so by c),
[TABLE]
hence
[TABLE]
∎
2. An upper bound on the number of ideals of
In this section we obtain a general upper bound for the ratio of the number of ideals of to the number of subspaces of , for an arbitrary commutative nilpotent -algebra of dimension . To do so, we consider the function from subspaces of to ideals of which associates to each subspace the ideal generated by , and we establish a lower bound on the cardinality of the fiber of each ideal under this map (which is obviously surjective). But first, we need to count subspaces with certain properties.
Recall that . All vector spaces are over , and the number of -dimensional subspaces of , an -vector space of dimension , is .
We show:
Proposition 2.1**.**
Let and let be a fixed subspace of of dimension . For , the number of -dimensional subspaces of with is equal to times the number of -dimensional subspaces of :
[TABLE]
Proof.
Let be a complementary subspace to , so that . For , let be a -dimensional subspace of , with basis . For each choice of elements of , the subspace of generated by is -dimensional and has trivial intersection with . For suppose
[TABLE]
in for some in . Then, since is a direct sum of -vector spaces,
[TABLE]
Since are linearly independent, , hence . The same argument with shows that is a linearly independent set.
Finally, each choice of elements of gives a different subspace of . For suppose is in the space . Then
[TABLE]
So
[TABLE]
But then
[TABLE]
So , all other , and the equation reduces to
[TABLE]
Thus for each -dimensional subspace of , we obtain -dimensional subspaces of with . ∎
Corollary 2.2**.**
Let be a -dimensional space and a subspace of codimension 1. Then the number of subspaces of not contained in is at least .
Proof.
First we remark that via a duality argument, the number of subspaces of dimension not contained in a fixed subspace of codimension 1 is the same as the number of subspaces of dimension intersecting a fixed subspace of dimension 1 trivially. Hence the preceding proposition is applicable; summing over all possible dimensions of , we find that the number of subspaces not contained in is
[TABLE]
∎
Recall that is the map from subspaces of to ideals of defined by
[TABLE]
To simplify notation, we write instead of for any subset of . To get a sense of the relationship between the number of subspaces of and the number of ideals of , we will count the number of elements in the fibers of .
Assume is minimal with . (The zero algebra can be safely excluded from our study.) Consider the chain
[TABLE]
of annihilator ideals defined by
[TABLE]
Let . Then the sequence is obviously increasing, and a little argument shows that .
The strategy for bounding the number of ideals of begins with the following idea. Let be the set of ideals of contained in but not contained in . Then, since is an ideal of for all , we have
[TABLE]
The next lemma will help us find a lower bound on .
Lemma 2.3**.**
Let , as above. Let be a subspace of , not contained in . Then .
Proof.
Let be in , not in . Then . After multiplying by a non-zero element of , we can assume that for some in . Then
[TABLE]
is in . So
[TABLE]
∎
Let be an ideal of of -dimension , let (or ) be the number of subspaces of , and let be the number of ideals of that are contained in . Lemma 2.3 enables us to prove a result relating the number of subspaces and the number of ideals contained in the annihilator ideal in for each .
Proposition 2.4**.**
For each with , consider the ideal map restricted to the set of subspaces of that are not contained in . For each in , let , and let . Then for all ideals in ,
[TABLE]
Hence
[TABLE]
Proof.
Let be an ideal contained in , not contained in . Let be in , not in . Let and . Then has dimension at least , and has codimension 1 in . Let be a complement of in . Then for every subspace of not contained in , we have and thus .
Whenever and are distinct subspaces of not contained in , we have . So the number of preimages of is at least equal to the number of subspaces of that are not contained in . Since , that number of subspaces is by Corollary 2.2. ∎
Dividing both sides of the -th inequality of Proposition 2.4 by and summing them over all yields an upper bound for the number of ideals of :
Corollary 2.5**.**
[TABLE]
Omitting the negative terms and applying Lemma 1.1 d) yields the following upper bound on in terms of (recall ):
Corollary 2.6**.**
[TABLE]
To make it easier to apply this inequality for general , we show the following simple lower bound on the quantity . (Recall it was defined by with .)
Proposition 2.7**.**
For all we have .
Proof.
This is clear for .
For let be in and not in . Let in so that . Then for each , is in and not in . So are linearly independent in . Thus has dimension at least . ∎
In the next theorem we will use this lower bound on to get a general, fairly elegant upper bound on that only depends on , the length of the annihilator chain in . However, in some of the examples treated below it will be worthwhile to have a closer look at ; we will find it to be considerably larger than , which will enable us to sharpen the upper bound.
The general bound goes as follows.
Theorem 2.8**.**
With the above hypotheses on and we have
[TABLE]
Proof.
In the inequality of Corollary 2.6, replace by and observe that since , one has . If we insert this into the inequality, the terms cancel and we obtain
[TABLE]
∎
For the inequalities of Theorem 2.8 are
[TABLE]
We can improve these bounds by some constant factors, (almost) without imposing further conditions on the algebra . Recall that .
Proposition 2.9**.**
For , we have
[TABLE]
whenever and n . For , we have
[TABLE]
whenever .
Proof.
Case : From Corollary 2.5 with replaced by , we have
[TABLE]
To get the claimed inequality it suffices to assume that and show that
[TABLE]
or . Using Lemma 1.1b) for even it suffices to show that
[TABLE]
which holds for , while for odd, it suffices by Lemma 1.1c) to show that
[TABLE]
which holds for .
Case . From Corollary 2.5 we have
[TABLE]
Since , the right side is maximized when . To show that the right side is , it suffices to show that
[TABLE]
Using Lemma 1.1b) for even, we are reduced to showing that
[TABLE]
which holds for . Using Lemma 1.1c) for odd, we see it suffices to show that
[TABLE]
which holds for and . ∎
The bounds of Theorem 2.8 and Proposition 2.9 imply:
Corollary 2.10**.**
Suppose is a Galois extension with elementary abelian -group and is also a -Hopf Galois extension where arises from a commutative nilpotent -algebra structure on the additive group , where and . Then is the proportion of intermediate fields that are in the image of the Galois correspondence from sub-Hopf algebras of , and for
• ,
• ,
• ,
• all with .
3. A lower bound on the number of ideals
We now obtain a lower bound on the number of ideals of , by exhibiting a collection of ideals in and estimating its size. Recall that and that we defined
[TABLE]
Then is an ideal of , and
[TABLE]
all inclusions being proper.
We already defined ; let us put . For each , let be a subspace of so that
[TABLE]
(In particular, .) Then ,
[TABLE]
and
[TABLE]
Proposition 3.1**.**
[TABLE]
Proof.
For each , , and each non-zero subspace of , let . Then is an ideal of . Indeed, we have , and therefore .
The formula of the proposition simply counts the number of ideals just described. ∎
Since for any ,
[TABLE]
and , we can let and get a rough lower bound for the number of ideals in :
[TABLE]
4. Some classes of examples
To see how sharp the bounds on ideals are that we obtained in the last two sections, we look at some explicit classes of algebras.
Example 4.1**.**
First, consider the “uniserial” -dimensional algebra generated by with . In this case, for every element in , the dimension is equal to . We then see that the general upper bound
[TABLE]
is in fact close to the true number for large , since is a polynomial in of degree .
The lower bound in this simple class of examples is .
Example 4.2**.**
Let be a “binomial” nilpotent algebra: with for all . Then , and .
Theorem 2.6 tells us that the ratio of ideals to subspaces for is bounded as follows:
[TABLE]
But that inequality arose from minorizing by throughout. In this class of examples we can do better, having a closer look at .
Proposition 4.3**.**
Let be the binomial algebra of dimension . Then for every non-zero in we have
[TABLE]
Proof.
For any given in , pick a monomial summand of in . Renumber the variables of so that
[TABLE]
Then we introduce an ordering on the set of all nonzero monomials of so that any monomial of comes after any monomial of for all , and the monomials within are ordered lexicographically. Strictly speaking, this is a total ordering on the set of all monomials up to multiplication with a nonzero scalar in .
Call a family of monomials admissible if no two of them are equal up to a nonzero scalar. Every nonzero has a unique “leading” monomial , according to the ordering. The following is easy to see: if is a family of elements of , such that the family of leading monomials is admissible, then is -linearly independent. If is any monomial, we have .
Now consider the family of monomials that consist only of factors ; this family has entries, and is of course admissible. If we multiply every element of this family by , the leading terms just get multiplied by the monomial , so they again are an admissible family. Hence the entries of the family are again linearly independent, which shows that the ideal generated by has dimension at least . ∎
We illustrate how working with instead of the crude lower bound affects the upper bound on the ratio of Theorem 2.8 for a binomial algebra.
Consider the binomial algebra with . Then
[TABLE]
(Note .) The general inequality 2.8 gives
[TABLE]
Let us start afresh. From Corollary 2.5 we have
[TABLE]
Omitting the negative terms gives
[TABLE]
Now and for , . So we have
[TABLE]
Now we use Lemma 1.1 d):
[TABLE]
So
[TABLE]
This is a big improvement over the inequality above that comes from the general approach.
However, the lower bound on the number of ideals of from Proposition 3.1 is a polynomial in of degree 9, while
[TABLE]
So there remains a large gap between the upper and lower bounds on .
In general, the gap between the upper and lower bounds for arises because the upper bound is based on a lower bound on the sizes of fibers of the ideal generator map
[TABLE]
For an ideal of , not in , we showed that where is the minimum of the dimensions of principal ideals for in . But for many nilpotent algebras and many ideals of , this lower bound greatly underestimates . We illustrate this with two examples.
Example 4.4**.**
Let be the “triangular” algebra with . Here one sees that for in . Let us look at the case in detail.
Let with . Then has a basis , and the annihilator has basis . Moreover . So we have and .
Proposition 4.5**.**
There are ideals in .
Proof.
The lower bound from Proposition 3.1 counts ideals of and ideals of properly containing : that number is
[TABLE]
To determine the number of ideals of we let . This is the two-dimensional algebra spanned by and with zero multiplication. We classify ideals by their image in . Those with are simply the subspaces of , which we’ve already counted. One easily sees that only happens once, for , and since that ideal contains , it is already counted.
There remains the case where is one-dimensional. There are one-dimensional subspaces of , but by applying suitable automorphisms of it suffices to count ideals with , and multiply that count by . All such contain and , so the question is whether they contain . If yes, is simply the linear span of and and has been counted. If no, then contains an element for a unique scalar ; this scalar determines the ideal. So there are such ideals mapping onto . Thus the count of ideals with one-dimensional is . Adding that number to gives the result. ∎
We can write down all of the ideals explicitly and determine their fibers. The notation denotes “subspace generated by ”. In the list, are arbitrary elements of .
[TABLE]
To describe the subspaces of , choose the basis of . Looking at row vectors of coordinates with respect to that basis yields a bijection between subspaces of and row spaces of matrices with entries in . Those row spaces are in bijective correspondence with the set of reduced row echelon matrices. Those, in turn, can be categorized by specifying the columns where the pivots occur: the number of pivots specified defines the dimension of the subspace. Thus the label (124) denotes the reduced row echelon matrix
[TABLE]
(we omit all rows of zeros), where the five unspecified entries can be arbitrary elements of . Thus there are subspaces of corresponding to echelon forms with label (124).
The echelon forms (3), (4), (5), (34), (35), (45), (345) define the non-zero subspaces of . Those subspaces are also ideals of since multiplication on is trivial.
Every echelon form that includes both 1 and 2 defines a subspace of that generates the ideal . It is possible to discuss all other forms in turn, finding the ideals generated by the corresponding subspaces and the exact size of the fiber of . Since this is repetitive and space-consuming, we only write out what happens for three echelon forms.
(1) has the form and generates for and . So for each there are subspaces of type (1) that generate .
(13) has the form . If , and , then it generates . In that case, for each there are subspaces of type (13) that generate . If and , then the subspace generates . In that case the choices for yield subspaces of type (13) that generate .
(14) has the form . If then the subspace generates for all choices of ; otherwise for there are choices of for subspaces of type (14) that generate .
As noted, we omit the (easy) discussion of the remaining forms (15), (134), (135), (2), (23), (234), (235), (2345), (24), (25), (245).
Adding up the number of subspaces that generate each ideal, we get the tables below. Here are arbitrary elements of .
[TABLE]
The center column sums to the number of ideals of .
The total number of subspaces of accounted for by fibers of ideals of each type is:
[TABLE]
The right column sums to the number of subspaces of .
Let us compare this with our more general results. We have
[TABLE]
Given that by Prop. 4.5, the inequality of Proposition 2.9 comes out as
[TABLE]
This inequality was based on assuming that every ideal not contained in has dimension , and so .
In Corollary 2.6, the factor in brackets between and evaluates to , using and , . This assumed that every ideal not contained in has dimension , so . Then the inequality is
[TABLE]
where is always positive but tends to 0 for .
Looking at the actual sizes of the fibers of in this example, the inequality has the correct power of for principal ideals . But the non-principal ideals , and that are not contained in have fibers with cardinalities of order and , respectively. This helps explain why the general upper bound on ideals is loose.
Example 4.6**.**
Let with , the binomial algebra in three variables. Then () and has a basis
[TABLE]
with . The number of subspaces of is
[TABLE]
The number of ideals of turns out to be
[TABLE]
The lower bound on , the number of ideals of , is
[TABLE]
An upper bound on can be obtained by using Proposition 4.3, which says that the dimension of a principal ideal of not contained in is at least 4. Then we get
[TABLE]
To see why this upper bound on is off by a factor of a constant times , we can determine for the ideals of , by methods in the last example. We omit the details. But we observe first that the fibers of the ideals of account in total for subspaces of . So most subspaces of generate ideals not contained in .
In obtaining our upper bound, we used that for principal ideals of not contained in , . But in fact, we find that:
• For the principal ideals of the form with in , the dimension of , so , not . Thus this set of ideals is generated by approximately subspaces of .
• For the non-principal ideals of the form
[TABLE]
each is generated by at least subspaces of . Thus this set of ideals is generated by approximately subspaces of .
• Finally, for the ideal itself, every subspace of whose reduced row echelon form has the form generates , and summing the number of such subspaces yields
[TABLE]
Comparing that to above, it is evident that the weakness in the upper bound we found for arises from the considerable underestimation of the size of for non-principal ideals not contained in , and, in particular, on the size of : is a polynomial in of the same degree as .
This last fact turns out to be true in general. One can show (proof omitted) that is always a polynomial in with the same degree as the polynomial , under the fairly mild assumption that as an -algebra is generated by at most elements.
From these examples it appears that any substantial tightening of the upper bound for the ideals of will require a more nuanced look at the fibers of non-principal ideals whose -dimension is close to the dimension of .
However, the primary objective of this paper has been achieved. Let be a Galois extension with elementary abelian Galois group an elementary abelian group . If is a -Hopf Galois extension of type corresponding to a commutative nilpotent algebra structure on with , then the upper bound on in section 2, weak as it may be for some examples, still provides the first general quantitative estimate on how far from surjective is the Galois correspondence for the Hopf Galois structure on .
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[CDVS 06] A. Caranti, F. Dalla Volta, M. Sala, Abelian regular subgroups of the affine group and radical rings, Publ. Math. Debrecen 69 (2006), 297–308.
- 2[CS 69] S. U. Chase, M. E. Sweedler, Hopf Algebras and Galois Theory, Springer LNM 97 (1969).
- 3[Ch 15] L. N. Childs, On abelian Hopf Galois structures and finite commutative nilpotent rings, New York J. Math. 21 (2015), 205–229.
- 4[Ch 16] L. N. Childs, Obtaining abelian Hopf Galois structures from finite commutative nilpotent rings, arxiv: 1604.05269
- 5[Ch 17] L. N. Childs, On the Galois correspondence for Hopf Galois structures, New York J. Math. (2017), 1–10.
- 6[CRV 15] T. Crespo, A. Rio, M. Vela, From Galois to Hopf Galois: theory and practice, Contemp. Math. 649 (2015), 29–46.
- 7[CRV 16] T. Crespo, A. Rio, M. Vela, On the Galois correspondence theorem in separable Hopf Galois theory, Publ. Mat. (Barcelona) 60 (2016), 221–234.
- 8[FCC 12] S. C. Featherstonhaugh, A. Caranti, L. N. Childs, Abelian Hopf Galois structures on prime-power Galois field extensions, Trans. Amer. Math. Soc. 364 (2012), 3675–3684.
