The relational complexity of linear groups
acting on subspaces
Abstract.
The relational complexity of a subgroup of is a measure of the way in which the orbits of on for various determine the original action of . Very few precise values of relational complexity are known. This paper determines the exact relational complexity of all groups lying between and , for an arbitrary field , acting on the set of -dimensional subspaces of . We also bound the relational complexity of all groups lying between and , and generalise these results to the action on -spaces for .
Key words and phrases:
Relational complexity, linear groups, subspace actions2020 Mathematics Subject Classification:
20B15, 20G40, 03C131. Introduction
The study of relational complexity began with work of Lachlan in model theory as a way of studying homogeneous relational structures: those in which every isomorphism between induced substructures extends to an automorphism of the whole structure. For the original definition see, for example, [11]; an equivalent definition in terms of permutation groups was given by Cherlin [1], and, apart from a slight generalisation to group actions, is the one we now present.
Let be an arbitrary set and let be a group acting on . Fix , and let . For , we say that and are -equivalent under , denoted , if for every -subset of indices , there exists an such that . If , i.e. if , then and are equivalent under . The relational complexity of , denoted , or when is clear, is the smallest such that implies , for all and all . Equivalently, is the smallest such that -equivalence of tuples implies equivalence of tuples. Note that if and , as or may contain repeated entries.
Calculating the precise relational complexity of a group is often very difficult. A major obstacle is that if , then there is no uniform relationship between and . For example, if , then the relational complexities of the regular action of and natural actions of and are , and , respectively. In [1], Cherlin gave three families of finite primitive binary groups (groups with relational complexity two) and conjectured that this list was complete. In a dramatic recent breakthrough, this conjecture was proved by Gill, Liebeck and Spiga in [6]; this monograph also contains an extensive literature review.
In [1, 2], Cherlin determined the exact relational complexity of and in their actions on -subsets of . The relational complexity of the remaining large-base primitive groups is considered in [4]. Looking at finite primitive groups more generally, Gill, Lodà and Spiga proved in [7] that if is primitive and not large-base, then (our logarithms are to the base ). This bound was tightened by the second and third author in [10] to . Both [7] and [10] bounded the relational complexity via base size, and the groups with the largest upper bounds are classical groups acting on subspaces of the natural module, and related product action groups. This motivated us to obtain further information about the relational complexity of these groups; this paper confirms that these bounds are tight, up to constants.
We now fix some notation for use throughout this paper. Let be a positive integer, be a (not necessarily finite) field, , and be the set of -dimensional subspaces of . We shall study the relational complexity of the almost simple groups with , acting on . We will generally work with the corresponding groups with , as these naturally have the same relational complexity when acting on .
Several of our results focus on the case . We begin with the following theorem of Cherlin.
Theorem 1.1 ([1, Example 3]).
The relational complexity of acting on the nonzero vectors of is equal to when , and when . Hence also in the action on -spaces we find that .
More generally, for , Lodà [12, Corollary 5.2.7] shows that . Other results imply an alternative upper bound on . We first note that the height of a permutation group on a set , denoted or , is the maximum size of a subset of with the property that for each . It is easy to show (see [7, Lemma 2.1]) that . By combining this with immediate generalisations of results of Hudson [9, §5.3-5.4] and Lodà [12, Prop 5.2.1], we obtain the following (for , see Theorem 1.1; we also omit a few small exceptional cases for brevity).
Proposition 1.2.
Let and .
-
(i)
Suppose that , with if . If , then and , whilst .
-
(ii)
If , then and .
Our first theorem gives the exact relational complexity of groups between and for , acting naturally on 1-spaces.
Theorem A.
Let , and let be any field. Then the following hold.
-
(i)
-
(ii)
If , then
For most groups, we see that the relational complexity is very close to the bound in Proposition 1.2(ii). However, the difference between the height and the relational complexity of increases with when . This addresses a recent question of Cherlin and Wiscons (see [6, p. 23]): there exists a family of finite primitive groups that are not large-base, where the difference between height and relational complexity can be arbitrarily large. Theorem A also provides infinitely many examples of almost simple groups with .
One way to interpret the gap between the relational complexity of and its proper almost simple subgroups with socle is to observe that preserving linear dependence and indepedence is a comparatively “local” phenomenon, requiring information about the images of -tuples of subspaces but not (very much) more, whereas restricting determinants requires far richer information. This mimics the difference between the relational complexity of and in their natural actions, where requiring a map to be a permutation is “local”, but requiring a permutation to be even is a “global” property.
We next bound the relational complexity of the remaining groups with socle that act on . For , the number of distinct prime divisors of is denoted by , with .
Theorem B.
Let satisfy , and let . Suppose that , so that and .
-
(i)
If and , then , except that .
-
(ii)
If , then
In fact, the lower bound of holds for a larger family of groups; see Proposition 3.7.
Theorem C.
Let satisfy and let . Fix . Then
GAP [5] calculations using [3] yield and , so the upper bounds of Theorem B cannot be improved in general. On the other hand, achieves the lower bound of . Additionally, achieves the lower bound of from Theorem C, while and .
It is straightforward to use our results to bound the relational complexity in terms of the degree. For example, . Many of our arguments also apply to the case where is an arbitrary field; see Theorem 3.1, Lemmas 3.5 and 3.6, and Propositions 3.7 and 4.1.
This paper is structured as follows. In Section 2, we fix some more notation and prove some elementary lemmas, then prove upper bounds on the relational complexity of the relevant actions on -spaces. In Section 3, we shall prove corresponding lower bounds, and then prove Theorems A and B. Finally, in Section 4, we prove Theorem C.
2. Action on 1-spaces: upper bounds
In this section we present several preliminary lemmas, and then determine upper bounds for the relational complexity of groups , with , acting on .
We begin with some notation that we will use throughout the remainder of the paper. Let be a basis for . For a set , a tuple and a permutation , we write to denote the -tuple . For a tuple , we write to denote the subspace of spanned by all entries in . For , we shall write to denote the subtuple of obtained by deleting .
In the remainder of this section, let and let be a group such that . Recall from Theorem 1.1 that when . Thus we shall assume throughout this section that and .
We write to denote the subgroup of diagonal matrices of (with respect to the basis ), and . Observe that is nontrivial since , and that is the pointwise stabiliser . For a vector , the support of is the set . Additionally, the support of a subset of is the set , and similarly for tuples. In particular, is the set of subspaces of with support of size , and for all subsets of .
2.1. Preliminaries
We begin our study of the action of on with a pair of lemmas that will enable us to consider only tuples of a very restricted form.
Lemma 2.1.
Let , and let be such that . Additionally, let . Then there exist such that
-
(i)
for , and
-
(ii)
if and only if , for each .
Proof.
Observe that there exists such that . Since and , the definition of -equivalence yields . Hence there exists an such that for all , and so . Since is transitive on -tuples of linearly independent -spaces, there exists such that for . Define by and , so that and . Then if and only if , which holds if and only if . ∎
Lemma 2.2.
Let , and let be such that . Additionally, let and assume that . If , or if , then .
Proof.
If , then all entries of are equal, so since , we see that directly implies . We will therefore suppose that and . By Lemma 2.1, we may assume without loss of generality that . As and , there exists an element mapping to , considered as tuples of subspaces of . We now let be the diagonal matrix , and observe that maps to and lies in , since lies in . Thus . ∎
We now begin our study of some particularly nice -tuples.
Lemma 2.3.
Let , and let be such that for and . Then for all .
Proof.
It is clear that when . Assume therefore that . Since , there exists such that . Observe that , and so . ∎
Our final introductory lemma collects several elementary observations regarding tuples of subspaces in , the set of -dimensional subspaces of support size greater than . For and , we let consist of all matrices in that fix for and map into for . Notice that all matrices in are diagonal, and that if , then , so is a subspace of . For an matrix and a subset of , we write to denote the submatrix of consisting of the rows and columns with indices in .
Lemma 2.4.
Let , and let .
-
(i)
Let and be (possibly equal) elements of such that , and let . Then is a scalar.
-
(ii)
Suppose that . Then for , the space is one-dimensional, so the dimension of is equal to .
-
(iii)
For a subtuple of , let . Then .
Proof.
Part (i) is clear. For Part (ii), by assumption, there is an invertible diagonal matrix mapping to , so . Let and be distinct elements of , which exist as . If , then for some , and the value of completely determines the image of under . The result follows. Part (iii) follows from the fact that for all , , and , the matrix obtained from by adding to its -th diagonal entry fixes . ∎
2.2. Upper bounds for on 1-spaces
In this subsection, we will suppose that and , and let be any group such that . Our main result is Theorem 2.7, which gives upper bounds on .
Lemma 2.5.
If implies that , for all with for , then .
Proof.
We shall therefore let and be elements of with for , such that . Additionally, for and , define
(1) |
Lemma 2.6.
With the notation above, if at least one of the following holds, then .
-
(i)
There exist with and .
-
(ii)
There exists a nonempty with .
-
(iii)
There exists such that .
Proof.
We begin by noting that Lemma 2.3 yields for all .
-
(i)
Since , there exists an mapping to , and such an is necessarily diagonal, with fixed entries in (up to scalar multiplication).
Now, let (this is possible as ). There exists an mapping to , and as before each such is diagonal. Hence every matrix in mapping to maps to , and in particular and so .
-
(ii)
Let . Then for all . Since , there exists such that . It follows that for all , there exists such that . Thus for each ,
Since , we deduce that . As this holds for all , we obtain . Thus , so .
-
(iii)
Permute the last coordinates of and so that . By (ii), we may assume that for all . For each , we define and . As for all , we see that , so and satisfy the conditions of Lemma 2.4(ii).
Suppose first that there exists such that . As , there exists such that . Hence , and so . Therefore, and .
We now prove the main result of this subsection.
Theorem 2.7.
Suppose that and , and let be any group with . Then .
Proof.
Let be as defined before Lemma 2.6. By Lemma 2.5 it suffices to show that , so assume otherwise. We may also assume that all subspaces in are distinct, so that for each by Lemma 2.6(iii).
For , let be the set of all such that . Then
(2) |
Observe from Lemma 2.6(i)–(ii) that if , then for each . Hence and
(3) |
Observe next that , else by (2), contradicting . We shall determine an expression for involving , by considering the maximal subsets of that correspond to pairwise overlapping supports. To do so, define a relation on by if , let be the set of equivalence classes of the transitive closure of , and let . We claim that . By Lemma 2.6(i)–(ii), for all distinct . Thus our claim is clear if .
If instead , then there exist distinct with and . Let . We observe that , and so Lemma 2.6(ii) shows that has size two and is equal to . Hence and . If , then there exists such that, without loss of generality, . As for each , the above argument shows that and . Repeating this argument inductively on shows that , which has size , as claimed.
2.3. Upper bounds for on 1-spaces
In this subsection, we determine a much smaller upper bound on via our main result, Theorem 2.12. We shall assume throughout that and are at least , and write . Since is the pointwise stabiliser of in , we will prove Theorem 2.12 by combining Lemmas 2.1 and 2.2 with information about the action of on -tuples and of subspaces in . If these tuples are -equivalent under , then by acting on one with a suitable element of we may assume that their first entries are equal. We shall denote the nonzero entries of elements of by just rather than , since is necessarily diagonal.
Lemma 2.8.
Let , and let be such that , , and . Let and assume also that . Then (after reordering the basis for and if necessary) the following statements hold.
-
(i)
There exist integers such that, for each , is equal to .
-
(ii)
Let . Then for all .
-
(iii)
The support of does not contain .
-
(iv)
Let . Then .
-
(v)
Each integer in lies in the support of a unique subspace in .
Proof.
We begin by fixing notation related to and . Since , there exists an element in mapping to , and so . On the other hand, , and so . Therefore, by scaling the basis vectors for and , there exist such that , , and and are distinct and nonzero. Reordering if necessary, we may assume that . Then each element of that maps to also maps to ; we will use this fact throughout the proof.
-
(i)
We show first that there is no partition of into proper subsets and such that , so suppose otherwise, for a contradiction. Then, as and , there exists an such that . Multiplying by a scalar if necessary, we may assume that . Then for each . Similarly, there exists with the same properties. As , there exists an such that and . Since , we observe that . Hence . Furthermore, by construction, . Thus , a contradiction.
Next, by reordering if necessary, we may assume that . Then by reordering if necessary, we may assume that is equal to for some , since . Thus the result holds for . We will use induction to prove the result in general, and to show that, for all ,
(4) Let , let and assume inductively that . If assume also that (4) holds for all . Since cannot be partitioned into two parts whose support has trivial intersection, , so we may reorder so that (4) holds when .
Suppose for a contradiction that . Then (4) (applied to each ) and Lemma 2.4 imply that is equal to . Since , the latter stabiliser contains an element mapping to . Hence the same is true for , contradicting the fact that . Therefore, we can reorder so that contains for some , and the result and (4) follow by induction. Note in particular that , since .
-
(ii)
Let be such that contains the integer from the first paragraph of this proof, and let . Then, using (4) (for each ) and Lemma 2.4(i), we observe that every satisfies . Therefore, for all . As , we deduce that . In particular, is the unique subspace in whose support contains . Swapping and if necessary, we may assume that .
Now, for a contradiction, suppose that for some and , and assume that is the largest integer with this property. Then (4) and the maximality of imply that for all . It now follows from Lemma 2.4(i), together with a further application of (4) to each , that every satisfies . Therefore, for all . However, , contradicting the fact that .
-
(iii)–(iv)
As in the proof of (ii), we may assume that . We observe from (ii) and (4) that for all . Hence if then Lemma 2.4(i) shows that every satisfies (since ). This contradicts the fact that , and so (iii) holds. Finally, since for each , we obtain (iv) by defining and reordering the vectors in if necessary. In particular, for , the assumption that gives the result.
- (v)
Recall that denotes , with . Our next result is a key ingredient in the proof that is at most .
Lemma 2.9.
Let , and let be such that and . Then there exists a subset of of size such that .
Proof.
If , then set . Since and , we are done. Assume therefore that . We will suppose for a contradiction that is the smallest dimension for which the present lemma does not hold, for this value of . Since , we may also assume that . Let . As , no element of maps to . Therefore, for a given subset of if and only if no element of maps to . We split the remainder of the proof into two cases, depending on whether or not .
Case : Let , let be the subspace of , and let and be the projections onto of and , respectively. Lemma 2.4(iii) shows that the diagonal entries corresponding to of elements of can take any multiset of nonzero values. Since no element of maps to , it follows that there is no matrix in whose restriction to maps to . By the minimality of , there exists a subset of of size such that no element of maps to . Setting to be , so that , we observe that no element of maps to . This is a contradiction, and so the lemma follows in this case.
Case : In this case, Lemma 2.8 applies, so with the notation of that lemma, let
Then and , since and .
Let . To complete the proof, we will show that , by showing that is scalar. We will first show that is lower triangular. It is clear that stabilises . Suppose inductively that stabilises for some . If , then stabilises . Otherwise, for some , and then Lemma 2.8(i) shows that . In this case, again stabilises . Hence by induction, is lower triangular.
Now, let , let be the set of integers that each lie in the support of a unique subspace in , and let . We will show next that is diagonal, by fixing and proving that whenever . First, if , then , so . Hence we may also assume that .
Suppose inductively that for some (the base case here is , so that ). We will show that if , then . By Lemma 2.8(iv), and furthermore Lemma 2.8(i)–(ii) shows that . Thus by the previous paragraph and our inductive assumption, for all . In fact, Lemma 2.8(i)–(ii) shows that each integer in less than lies in . As , we deduce from the definition of that . Thus for all . As stabilises , we deduce that . Therefore, by induction, for all and so is diagonal.
Finally, we will show that is scalar. Let for some . As stabilises , and as is diagonal, we deduce that
(5) |
Now, by Lemma 2.8(iv), for each , so . Thus starting from and proceeding by induction on , it follows from (5) that for all , i.e. is a scalar. Since by Lemma 2.8(v), we deduce that , as required. ∎
The following lemma is strengthening of Lemma 2.9 in the case and , in which the subset now has size .
Lemma 2.10.
Suppose that , and let . Suppose also that and . Then there exists a subset of of size such that .
Proof.
Since , without loss of generality , and there exists an element of mapping to . Hence and have equal supports. Reordering the basis for if necessary, we may also assume that for some . Then by Lemma 2.4, the upper-left submatrix of each matrix in is a scalar, while the remaining diagonal entries can be chosen independently. As , no matrix in maps to . We may therefore assume (by reordering the basis vectors in and/or swapping and if necessary) that the projections of and onto are and , respectively.
Now, let , let , and notice that is diagonal outside of the second row. Write as , with and for all . Since we deduce that without loss of generality the top left submatrix of is
Let be the projection of onto . Recall that , and note that , since is invertible. Hence if , then and ; if , then and ; and if , then . Hence, in each case, does not span . Therefore , and hence . ∎
Although the next result holds for all , it will only be useful in the case .
Proposition 2.11.
Let such that , and suppose that . Then .
Proof.
As , we may assume by Lemma 2.1 that for . Let and . We will show that ; it will then follow that there exists an element of mapping to , and so .
If , then we are done. Otherwise, exchanging and if necessary (note that ), we may assume that there exists an element . Let . Then since , there exists an element of mapping to . As stabilises each subspace with , it follows that , as required. ∎
We are now able to prove this section’s main theorem.
Theorem 2.12.
Suppose that and are at least . Then is at most . Moreover, .
Proof.
Let , with if . Additionally, let with and , where . It suffices to prove that . Suppose, for a contradiction, that is the minimal dimension for which the theorem does not hold (for a fixed ), and that . Then for each , using Proposition 1.2(i) in the case , we obtain . Since , Lemma 2.2 yields . Hence by Lemma 2.1, we may assume without loss of generality111If the basis vectors for are reordered, as required by several of this section’s earlier proofs, then we can reorder the subspaces in and in the same way to preserve this equality. that for , and furthermore that all subspaces in are distinct, so that for each .
We will first consider the case . Since , Lemma 2.3 yields for all . However, . Hence there exists an integer and subtuples of and of , with , such that and are -equivalent, but not equivalent, under . Equivalently, and .
If , then by Lemma 2.9, there exists a set such that . However, this means that the subtuples and are not equivalent under . This contradicts the assumption that . Hence in this case, , as required, so . If , then we are done.
Therefore, assume for the rest of the proof that and suppose first that . By the previous paragraph, . Therefore, to prove that , it suffices to show that whenever . Thus by replacing and by suitable subtuples, if necessary, we may assume that . In this case, , and by Lemma 2.10, there exists a subset of of size such that . Arguing as in the previous paragraph, this contradicts the assumption that . Thus .
Finally, suppose that . Since , we may assume that . However, since and , Proposition 2.11 shows that . Therefore, . ∎
3. Action on 1-spaces: lower bounds
In this section, we again assume that , and write . We drop the assumption that and permit . We shall now prove lower bounds for the relational complexity of each group satisfying , acting on .
For some results in this section, we will assume that is finite, and when doing so we fix a primitive element , and assume that for prime. Additionally, we will write , with . Here, the automorphism can be chosen to be induced by the automorphism of which raises each matrix entry to its th power, and with a slight abuse of notation, we will also write to denote this automorphism of , and to denote a generator for . If is an arbitrary field, then the group is still a semi-direct product of by (see, for example, [13, Theorem 9.36]), but of course and need not be cyclic.
We let , and will write for the identity matrix, and for the matrix with in the position and elsewhere. We write for the block diagonal matrix with blocks and .
Our first result is completely general and easy to prove, although we shall later prove much tighter bounds for various special cases.
Theorem 3.1.
Let be arbitrary, and let satisfy . Then .
Proof.
Define by for , with and . Then and , so no element of maps to . Hence .
Now, let for each , and . Then and , for each . Therefore , and so the result follows. ∎
Our next two results focus on the special cases and .
Lemma 3.2.
Assume that , and let satisfy . Then , except that .
Proof.
The claim about is an easy computation in GAP using [3], so exclude this group from now on. We divide the proof into two cases. For each, we define such that but . In both cases, we set .
Case (a): Either is even, or , where . If is odd, then let , and otherwise let , so that is not in the orbit . Then let and .
The stabiliser in of is contained in . As , no element of this stabiliser maps to , and so . On the other hand, for each , the matrix given below maps to .
If is even, then some scalar multiple of lies in for all , so and we are done. If instead is odd, then our assumption that implies that contains a scalar multiple of an element for some , as induces the automorphism of . Hence for each , there exists such that a scalar multiple of lies in . Since , each fixes , and thus .
Case (b): is odd and . Since , and since Proposition 1.2(i) yields the result when , we may assume that . We generalise Hudson’s [9, §5.4] proof that . First, let and , and for each define a map by . We will show that there exist elements and satisfying the following conditions:
(i) is a square in , and (ii) no automorphism of maps to .
It is easy to see that for each , the image , so the map is injective, and the preimage of any nonzero square in lies in and satisfies Condition (i). Hence for each , there are precisely choices for satisfying Condition (i).
Given , since , Condition (ii) is equivalent to requiring that for all , i.e. for all . There are exactly distinct squares of elements of , and precisely elements in that are -th powers. Hence if , then there exists such that is not a -th power in . Observe that then is not a -th power for any , and so this and any corresponding from the previous paragraph satisfy both conditions.
Suppose instead that , and fix . The number of elements not satisfying (ii), i.e. with for some , is at most
On the other hand, we established that the number of elements satisfying (i) is equal to
Since , and hence , there again exists satisfying both conditions.
Finally, fix such a and , and complete the definition of by setting and . The stabiliser in of is contained in . By Condition (ii), no such element maps to , so . However, the proof of [9, Theorem 5.4.6] uses Condition (i) to exhibit explicit elements of mapping each -tuple of to the corresponding -tuple of . Therefore, , and the result follows. ∎
Lemma 3.3.
Assume that , and let satisfy . If is finite, or if , then .
Proof.
If , then we verify the result in GAP using [3], so assume that . If is finite, then let , whilst if is infinite, then let be any element of of multiplicative order at least . Define by for , , , and , so that .
We first show that . The stabiliser in of lies in , so if is infinite then we are done. Assume therefore that . If , then . Since and , we deduce that , contradicting . Thus .
Next, for all , we show that . Let
Observe that for each , and so . It is also easy to check that for each . Thus , and so . ∎
Our remaining results hold for all sufficiently large . The first is specific to .
Proposition 3.4.
If and , then .
Proof.
Since , there exists an element such that (so ). Define by for , , and .
The stabiliser in of is the group of scalar matrices, so . Additionally, it is easily verified that, for each , the matrix given below maps to .
Hence , and so the result follows. ∎
In the light of Proposition 3.4, the next result in particular bounds the relational complexity of all remaining groups when .
Lemma 3.5.
Let be arbitrary, assume that , and let satisfy and . Then .
Proof.
Since is a proper subgroup of , there exists a nontrivial and an element with . We define by for ,
We claim that , but , from which the result will follow.
The stabiliser in of is contained in . However, no element of maps to , so . The reader may verify that, for each , the element given below maps to , where we define (notice that ).
Hence , and the result follows. ∎
Lemma 3.6.
Let be arbitrary, assume that , and let satisfy and . Then .
Proof.
Since , there exist elements and such that , , and . Let be as in the proof of Lemma 3.5, but supported only on the first basis vectors, so that lies in neither nor , and . Just as in that proof, one may check that , but . ∎
The next result applies, in particular, to all groups such that and either or . We write for the subgroup of consisting of -th powers, which is the set of possible determinants of scalar matrices in .
Proposition 3.7.
Assume that and , and let satisfy . Assume also that the set with is a proper subset of . Then
Proof.
By assumption, there exists an such that for all and . Define as follows:
We show first that , so suppose for a contradiction that there exists , with and , such that . As fixes and , and maps and to and , respectively, we deduce that . Therefore for each , and so is diagonal. Let . As for each , we deduce that for some . Hence , a contradiction. Hence .
Now, for each , let , where the appears in entry . First, for , let so that . It is easy to verify that has determinant and maps to . Finally, for , let , so that and . Then has determinant and maps to . Therefore, , and so . ∎
Proof of Theorem A.
When , this result is clear from Theorem 1.1. For the remaining fields , the fact that Part (i) gives an upper bound on is proved in Theorem 2.12, whilst we prove that it gives a lower bound in Theorem 3.1 for and Proposition 3.4 for . That Part (ii) gives upper bounds on is immediate from Theorem 1.2(ii) for , and from Theorem 2.7 for . Lemma 3.3 and Proposition 3.7 show that these are also lower bounds. ∎
Recall that denotes the number of distinct prime divisors of the positive integer .
Lemma 3.8 ([8, Lemma 3.1]).
Let be a finite group with normal subgroup such that is cyclic. Then .
Proof of Theorem B.
For the upper bound in Part (i), we combine Proposition 1.2(i) with Lemma 3.8 to deduce that , so . The lower bound (and the case ) is Lemma 3.2.
For the upper bound in Part (ii), we similarly combine Proposition 1.2(ii) with Lemma 3.8. As for the lower bound, first let , and notice that in this case . If properly contains , then the lower bound of is proved in Lemma 3.5. Otherwise, , and so the lower bound of follows from Lemma 3.3. Now assume that . The general lower bound is Lemma 3.6, the bound of for groups properly containing is Lemma 3.5, and the bound of is Proposition 3.7. ∎
4. Action on -spaces for
In this section, we consider the action of on , where , as before, but now . The main work is to prove a lower bound on , as the upper bound follows from existing literature.
Proposition 4.1.
Let be arbitrary, let , and let satisfy . Then .
Proof.
For each and , let , , , and , so that . Define as follows:
We shall first show that , so in particular , and then that .
Assume for a contradiction that . Since each subspace in is spanned by vectors of the form with , it follows that there exists with . For each , choose . Then
so fixes . Similarly, fixes for each .
Therefore, there exist and such that maps to for all , and maps to . It now follows that for each , the element maps to , which must lie in , and hence . Similarly, for each , and so contains
Hence , and for all . It now follows that maps to , which is clearly not in , a contradiction. Thus .
We now show that , by identifying an element that maps to , for each . We divide the proof into three cases, which together account for all values of . To simplify our expressions, let , , and for all . In each case the element will be lower unitriangular, and so will have determinant .
Case (a): . Let and be such that , so that . Additionally, let fix for all , map to , and map to . Then fixes provided , and maps to , and hence to , for all . Finally,
where we have used the fact that when . Hence maps to , as required.
Case (b): , where . Here, and . Let fix for each and map to . Then fixes for all and , and maps to , and hence to , for all . Finally,
as in Case (a).
Case (c): . Let fix for each , and map to . Then fixes for all and , and maps to for all , as required. ∎
The irredundant base size of a group acting faithfully on a set is the largest size of a tuple of elements of such that , with all inclusions strict. It is clear that is bounded below by the height , which we recall (from §1) is bounded below by .
Proof of Theorem C.
In [10, Thm 3.1], it is proved that . Since the irredundant base size of a subgroup is at most the irredundant base size of an overgroup, and the height is at most the irredundant base size, we deduce that for all . From Lemma 3.8, we then see that for all as in the statement, , and hence the upper bound follows. The lower bound is immediate from Proposition 4.1, so the proof is complete. ∎
Acknowledgments
We thank the anonymous referee for their careful reading and helpful
comments.
The authors would like to thank the Isaac Newton Institute for
Mathematical Sciences for support and hospitality during the programme
“Groups, representations and applications: new perspectives”, when work
on this paper was undertaken. This work was supported by EPSRC grant
no. EP/R014604/1, and also partially supported by a grant from the
Simons Foundation. The first author was supported by the University of
St Andrews (St Leonard’s International Doctoral Fees Scholarship &
School of Mathematics and Statistics PhD Funding Scholarship), and by
EPSRC grant no. EP/W522422/1. The second author is funded by the
Heilbronn Institute.
In order to meet institutional and
research funder open access requirements, any accepted manuscript
arising shall be open access under a Creative Commons Attribution (CC
BY) reuse licence with zero embargo.
Competing interests The authors declare none.
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