Maximum Number of Common Zeros of Homogeneous Polynomials over Finite Fields
Peter Beelen, Mrinmoy Datta, and Sudhir R. Ghorpade

TL;DR
This paper investigates the maximum number of common zeros of linearly independent homogeneous polynomials over finite fields, proving a new conjecture for several cases and settling it completely for degree three, with applications to algebraic geometry and coding theory.
Contribution
It proves the validity of a new conjecture for the maximum number of zeros for various degrees, especially degree three, and extends results to specific cases like degree q-1 and q.
Findings
Confirmed the new conjecture for several values of r.
Settled the conjecture completely for degree d=3.
Determined maximum zeros for d=q-1 and d=q cases.
Abstract
About two decades ago, Tsfasman and Boguslavsky conjectured a formula for the maximum number of common zeros that linearly independent homogeneous polynomials of degree in variables with coefficients in a finite field with elements can have in the corresponding -dimensional projective space. Recently, it has been shown by Datta and Ghorpade that this conjecture is valid if is at most and can be invalid otherwise. Moreover a new conjecture was proposed for many values of beyond . In this paper, we prove that this new conjecture holds true for several values of . In particular, this settles the new conjecture completely when . Our result also includes the positive result of Datta and Ghorpade as a special case. Further, we determine the maximum number of zeros in certain cases not covered by the earlier conjectures and results, namely, the…
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Maximum Number of Common Zeros of Homogeneous Polynomials over Finite Fields
Peter Beelen
Department of Applied Mathematics and Computer Science,
Technical University of Denmark, DK 2800, Kgs. Lyngby, Denmark
,
Mrinmoy Datta
Department of Applied Mathematics and Computer Science,
Technical University of Denmark, DK 2800, Kgs. Lyngby, Denmark
and
Sudhir R. Ghorpade
Department of Mathematics, Indian Institute of Technology Bombay,
Powai, Mumbai 400076, India.
Abstract.
About two decades ago, Tsfasman and Boguslavsky conjectured a formula for the maximum number of common zeros that linearly independent homogeneous polynomials of degree in variables with coefficients in a finite field with elements can have in the corresponding -dimensional projective space. Recently, it has been shown by Datta and Ghorpade that this conjecture is valid if is at most and can be invalid otherwise. Moreover a new conjecture was proposed for many values of beyond . In this paper, we prove that this new conjecture holds true for several values of . In particular, this settles the new conjecture completely when . Our result also includes the positive result of Datta and Ghorpade as a special case. Further, we determine the maximum number of zeros in certain cases not covered by the earlier conjectures and results, namely, the case of and of . All these results are directly applicable to the determination of the maximum number of points on sections of Veronese varieties by linear subvarieties of a fixed dimension, and also the determination of generalized Hamming weights of projective Reed-Muller codes.
2010 Mathematics Subject Classification:
Primary 14G15, 11T06, 11G25, 14G05 Secondary 51E20, 05B25
1. Introduction
Let be positive integers and let denote the finite field with elements. Let us denote by the ring of polynomials in variables with coefficients in and by its th graded component, i.e., let be the space of all homogeneous polynomials in of degree (including the zero polynomial). Given any homogeneous polynomials , let denote the corresponding projective algebraic variety over , i.e., the set of all -rational common zeros of in the -dimensional projective space . Now fix a positive integer . We are primarily interested in determining
[TABLE]
The first nontrivial case is and here it was conjectured by Tsfasman in the late 1980’s that
[TABLE]
where for any integer ,
[TABLE]
The conjecture was proved in the affirmative by Serre [9] and, independently, by Sørensen [10] in 1991. Later in 1997, Boguslavsky [1] showed that
[TABLE]
In the same paper, Boguslavsky [1] made several conjectures, ascribing some of them to Tsfasman. Surmising from the conjectural statements and results in [1], one arrives at the Tsfasman-Boguslavsky Conjecture (TBC), which states that
[TABLE]
where is the th element in descending lexicographic order among -tuples of nonnegative integers satisfying , and .
The conjectural formula above for was motivated by the computations of Boguslavsky [1, Lem. 4] for the number of -rational points of the so-called linear -configurations, and a conjecture of Tsfasman [1, Conj. 1]. For details about these, see [1, § 2] and [3, Rem. 3.6]. The TBC remained open for a considerably long time. However, two important developments took place shortly after Boguslavsky’s paper was published. First, working on a seemingly unrelated question (and unaware of the TBC), Zanella [11] determined completely. Second, Heijnen and Pellikaan [6], found exact formulae for the affine analogue of (1), namely,
[TABLE]
where denotes the polynomial ring in variables over and the set of polynomials in of degree , and for any , denotes the set of all -rational common zeros of in the -dimensional affine space . The result of Heijnen-Pellikaan can be stated as follows.
[TABLE]
where is the th element in descending lexicographic order among all -tuples of nonnegative integers satisfying .
Recently, it was shown in [3] that the TBC is false, in general, by showing that can be strictly smaller than the conjectured quantity if . Further, in [4] it was shown that the TBC holds in the affirmative if ; this gives
[TABLE]
While this settles in a way the Tsfasman-Boguslavsky Conjecture, there still remains the question of determining in all the remaining cases. In fact, besides (2), (4), and the result of Zanella for mentioned earlier (see Theorem 2.10), the only other known results about are the following. First, it is easy to determine for the initial values of or for all permissible , that is, for . More precisely, we have
[TABLE]
see, for instance, [4, § 2.1]. It is not difficult to determine for some terminal values of :
[TABLE]
A proof can be found in [5, Thm. 4.7]. At any rate, the results obtained thus far do not yield the exact values of
- •
whenever and
- •
whenever and
Note also that the case is trivial for many values of (see [4, Rem. 6.2] for more details). But the cases and were unresolved for most values or and , and it is conceivable that the TBC may even be valid in some of them, at least when . For going beyond , a conjecture that ameliorates the TBC was made in [4] for many (but not all) values of and for values of up to and including . The conjecture simply states that
[TABLE]
where is as in (3) except with replaced by .
We can now describe the contents of this paper. Our main result (Theorem 5.3) is an affirmative solution of the new conjecture (7) when and . In particular, this completely proves the conjectural formula (7) when . Furthermore, while our methods are partly inspired by those in [4], the results of [4] are not used directly. As such our results yield (4) as a corollary. In fact, we do a little better, since the case is also covered, and moreover, the proof is somewhat simpler. Our second main result (Theorems 6.2 and 6.3) is the determination of in the case and . The result matches with the answer predicted by the TBC as well as (4) and (7) when and , but not otherwise.
The key ingredients in our proofs are as follows. We make use of the nontrivial results of Heijnen and Pellikaan [6] as well as Zanella [11]. In addition, we utilize an inequality of Serre/Sørensen [9, 10], a variant of Bézout’s theorem by Lachaud and Rolland [8], a simple lemma given by Zanella [11] (see also [3, Rem. 2.3]), and an inequality of Homma and Kim [7] about the maximum number of points on a hypersurface without an -linear component. Another important ingredient in our proof is the use of a quantity that we call the -invariant associated to a linear space of homogeneous polynomials of the same degree. This notion can be traced back to the proof of [5, Thm. 5.1] in a special case, but here it is used more systematically.
We remark here that the determination of is equivalent to the determination of the maximum number of -rational points on linear sections of the Veronese variety corresponding to the -uple embedding of in , where and where varies over linear subvarieties of of codimension . Moreover, finding is essentially the same as finding the th generalized Hamming weight of the projective Reed-Muller code of order and length . Also, results on the determination of complement the recent result of Couvreur [2] on the number of points of projective varieties of given dimensions and degrees of its irreducible components. These connections are explained in [3, 5], and one may refer to them for more details on these aspects.
2. Preliminaries
Fix for the remainder of this paper a prime power and positive integers . In subsequent sections and subsections, some further assumptions on or or will be made, depending on the context. For the convenience of the reader, the basic underlying assumptions, if any, will be specified in the “context” mentioned at the beginning of the section or subsection. We will denote by the set of all nonnegative integers and by the set of -tuples of nonnegative integers. We will continue to use the notations introduced in the previous section. In particular, given any subset of , we denote by the set of -rational points of the corresponding projective variety in , i.e., . If or if is a -linear subspace of spanned by , then we may write for . Likewise, given any subset of , we shall denote by the set . If or if is a subspace of spanned by , then we may write for . Note that we use the word algebraic variety as synonymous with algebraic set, i.e., a variety need not be irreducible. When we speak of geometric attributes such as dimension or degree of an (affine or projective) algebraic variety such as or , it will always be understood that it is the same as the dimension or degree of the corresponding variety over an algebraic closure of .
2.1. Projective Hypersurfaces and Affine Varieties
We recall here several results from the literature that we will need later on. Let us begin with the result of Serre [9] and Sørensen [10] (see also [3]) that was mentioned in the Introduction.
Theorem 2.1**.**
Let be any nonzero homogeneous polynomial in of degree . Then
[TABLE]
Moreover whenever .
Next, we recall a variant of Bézout’s Theorem given by Lachaud and Rolland [8, Cor 2.2]. It should be noted that since as well as are unique factorization domains, a gcd (= greatest common divisor) of any finite collection of polynomials in either of these rings exists and is unique up to multiplication by a nonzero scalar, and it may be denoted by . Note also that in case are homogeneous, then so is their gcd.
Theorem 2.2**.**
Let be nonzero polynomials such that is an affine algebraic variety of dimension . Then
[TABLE]
In particular we have
[TABLE]
and
[TABLE]
Proof.
The first assertion is [8, Cor 2.2]. The next two are immediate consequences because if is nonconstant, then the hypersurface has codimension in , whereas if are coprime of positive degrees, then arguing as in the proof of [4, Lem. 2.2], we see that the codimension of is . The case when for some , is trivial. ∎
Let us deduce a refinement of the last result, which will be useful to us later.
Lemma 2.3**.**
Assume that . Let be linearly independent polynomials such that . If , then
[TABLE]
If, in addition, , then
[TABLE]
Proof.
For this follows directly from Theorem 2.2. Therefore we assume from now on. To estimate we proceed as follows: Let be an irreducible factor of . Since we assume that , there exists such that . Using Theorem 2.2, we see that On the other hand if for some irreducible, but not necessarily distinct, , then Combining these two estimates, we find that
[TABLE]
Now suppose and . Here, we need a more refined analysis. Let and write and , . Since and are linearly independent, and are nonconstant polynomials. Hence . It is clear that
[TABLE]
By Theorem 2.2, we find that . To estimate we proceed on similar lines as before and obtain that
[TABLE]
Hence we see that
[TABLE]
Since , the maximal value of is attained for (or ). The conclusion of the lemma now follows in this case as well. ∎
We will also need the following result due to Homma and Kim [7, Thm.1.2]:
Theorem 2.4**.**
Let be a hypersurface of degree defined over without an -linear component, and let denote the set of its -rational points. Then
[TABLE]
The following lemma will play an important role later and it appears, for example, in [11, Lem. 3.3]. See also [3, Lem. 2.1 and Rem. 2.3]. We outline a proof for the sake of completeness.
Lemma 2.5**.**
*Let be any subset. Define *
[TABLE]
where ranges over all hyperplanes in defined over . Then
[TABLE]
Proof.
Let denotes the set of hyperplanes in defined over . Counting the incidence set in two ways using the first and the second projections, we obtain . This gives , since . Further, if , then , since is an integer, whereas if and , then we must have . This completes the proof. ∎
We have already alluded to an important result of Heijnen and Pellikaan [6]. We end this subsection by recording its statement essentially as in [6, Thm. 5.10], and then outline how the version stated in the Introduction can be deduced.
Theorem 2.6**.**
Assume that and . Then
[TABLE]
*where is the tuple in ascending lexicographic order among -tuples with coordinates from satisfying , *
To see the equivalence with (3), let us rewrite the expression on the right in (8) as
[TABLE]
Note that is precisely the th tuple in descending lexicographic order among all -tuples with coordinates in satisfying . Moreover, if , then the last condition implies for . So if we take
[TABLE]
and the th element of in descending lexicographic order, then (8) implies (3).
2.2. Combinatorics of
As mentioned in the Introduction, we are mainly interested in this paper in conjectural equality (7) and it is therefore important to understand a little better. Let us begin by recalling the definition:
[TABLE]
where the th element of in descending lexicographic order and where is as in (9). We shall now proceed to establish several elementary properties of . These might seem disparate at first, but they will turn out to be useful in later sections.
Observe that if are integers, not all zero, with for , then the sum has the same sign as that of the first nonzero integer among . Now if and if , then using the above observation for , we see that
[TABLE]
This implies the strict monotonicity of in the parameter :
[TABLE]
We will now try to determine explicitly for “small” values of . For , let be the -tuple with in th place and [math] elsewhere; when , this is the zero-tuple. Clearly, the first elements of are for . Consequently,
[TABLE]
In particular, if , then we have the simple expression for for all permissible values of . Now suppose . Then the first elements can be described in blocks of as follows
[TABLE]
Put another way, for , the th element of is of the form
[TABLE]
An easy calculation shows that these unique are related to by:
[TABLE]
The conditions (13) determine uniquely from a given . From (12), we see that
[TABLE]
Notice that in the above setting if and only if and in this case (14) simplifies to (11), at least when . As an additional illustration of (14), we may also note that
[TABLE]
Having observed that is strictly monotonic in the parameter , we will examine in the next two results the behavior of as a function of the parameter or the parameter .
Proposition 2.7**.**
Assume that and let be an integer with . Then
[TABLE]
In particular, whenever and .
Proof.
Fix with , and let be as in (13). Then . Also . Thus by (14), we see that . This implies the desired result. ∎
Proposition 2.8**.**
Assume that and . Then
- (i)
* whenever .* 2. (ii)
* whenever .*
Proof.
Consider defined by . It is clear that preserves lexicographic order and that it maps the first elements of to the first elements of . Thus if is the th element of , then is the th element of for some . Hence in view of (10), we find, for ,
[TABLE]
This proves (i). Next, observe that the image of misses the th element of , namely, . It follows that if and if is the th element of , then is the th element of for some . Thus as in (17), we see that whenever . This proves (ii). ∎
2.3. Projective Varieties containing a Hyperplane and Zanella’s Theorem for Quadrics
The following result about projective varieties containing a hyperplane is a slightly more general version of [4, Lem. 2.5]. We include a quick proof for the sake of completeness.
Lemma 2.9**.**
Assume that . Let be linearly independent homogeneous polynomials in . Suppose that divides each of . Then
[TABLE]
Proof.
The conditions on show that is nonzero and thus without loss of generality, we may assume that . For , let ; note that , since . Hence (3) implies that , and so
[TABLE]
as desired. ∎
Note that for the hypothesis of Lemma 2.9 to hold, it is necessary that , because otherwise the polynomials cannot be linearly independent. Indeed, by assumption, the polynomials are in the vector space , which has dimension
The last preliminary result we need is the following theorem of Zanella [11, Thm. 3.4] about maximum possible number of -rational points on intersections of linearly independent quadrics in .
Theorem 2.10**.**
Assume that . Let be the unique integer such that and . Then
[TABLE]
In particular, if , then and thus .
We have now gathered all known results from the literature that we need. We finish this section by restating the following conjecture from [4], which was alluded to in the Introduction.
Conjecture 1**.**
Assume that and . Then
[TABLE]
This conjecture was proved to be correct for and in [4]. For , the conjecture follows from Theorem 2.1, whereas for , it follows as a particular case of Theorem 2.10 [in view of (11)], or alternatively, as a special case of [4, Thm. 6.3]. Also when , the conjecture is a trivial consequence of (5). Based on the above, we may always assume that , , and . We will provide significant more evidence for this conjecture by proving it for any pair satisfying and . In particular, we show that the conjecture holds if . The main step in our proof would be to show if and if are any linearly independent polynomials in , then
[TABLE]
The equality in Conjecture 1 is established by using (3) to show that there exists a family of polynomials where the upper the bound in (18) is attained.
3. Reduction to the relatively prime case
In order to prove (18) for any linearly independent , we will establish in this section auxiliary results that deal with the case when has degree . Since (18) is known already when , we will usually assume that . Note that when , the linear independence of implies that .
Lemma 3.1**.**
Assume that and . Let be linearly independent and be a gcd of and let . Let be such that for . Suppose and has no linear factors. Then
[TABLE]
Proof.
Since , we must have and so . Hence using Theorem 2.4, we obtain
[TABLE]
Since we clearly have , the lemma follows. ∎
Similar to the remark after Lemma 2.9, one can deduce that if and are as in Lemma 3.1, then we necessarily have , since . This gives an alternative argument to show that if , then .
Proposition 3.2**.**
Assume that and . Let be linearly independent and be a gcd of and let . Let be such that for . If and , then
[TABLE]
Proof.
If contains a linear factor and in particular, if , then the result follows from Lemma 2.9. Now suppose has no linear factors, , and . By Lemma 3.1, we see that
[TABLE]
On the other hand, changing to in (16), we find . This yields the desired inequality. ∎
The cases and that are not covered by Proposition 3.2 need to be dealt with independently. However, since the values of and are known for all permissible values of , this is not hard to do.
Proposition 3.3**.**
Assume that and . Let be linearly independent and let be a gcd of . Suppose equals or . Then
[TABLE]
Proof.
If contains a linear factor, then Lemma 2.9 gives the desired result. Now assume that has no linear factors. Then Theorem 2.4 implies that
[TABLE]
As in the previous proposition, let be such that for . Then . Consequently,
[TABLE]
First, let us suppose . Then we necessarily have . Also in view of (5), . Thus (19) implies that
[TABLE]
Since , we see that the expression on the right-hand side of the above inequality is strictly smaller than . Hence in view of (11) and (10), we see that
[TABLE]
as desired. Next, let us suppose . Then by Theorem 2.10, we see that
[TABLE]
whereas
[TABLE]
Using this together with (19) and the assumption that , we see that for ,
[TABLE]
and thus in view of (10), we find . Likewise, when , from (19) and the assumption we obtain
[TABLE]
In view of (14), the expression on the right is , which, thanks to (10), is less than or equal to . This completes the proof. ∎
4. The relatively prime case
In this section, we will establish results that help in proving (18) when the polynomials are relatively prime. Note that for any linearly independent , the corresponding projective variety coincides with , where is the -linear subspace of spanned by . Moreover, we can replace by any other basis of . We will thus focus on estimating , where is any -dimensional subspace of and take to be judiciously chosen basis elements of . To this end, an important role will be played by an integer, that we call the -invariant of the subspace , which is essentially the largest dimension of the space of polynomials in that are divisible by a linear homogeneous polynomial. More precisely, given any subspace and , we define . Note that . The -invariant of is defined by
[TABLE]
Clearly, . Moreover, if , then there exists such that divides every element of . In particular, if is spanned by linearly independent that are relatively prime, then . Conversely, if , then for any that form a basis of , the polynomials do not have a common linear factor, or in other words, does not contain a hyperplane.
Context
In this section, we will always assume that and . Assumption on may vary and will be specified.
Our first lemma gives a basic set of inequalities that hold under the hypothesis that the inequality (18), which we wish to prove, holds when is replaced by .
Lemma 4.1**.**
Assume that . Suppose
[TABLE]
Then for any -dimensional subspace of with satisfying , we have
[TABLE]
Moreover, if , then
[TABLE]
whereas if , then
[TABLE]
Proof.
Let be any -dimensional subspace of with . By a linear change of coordinates, we can and will assume that . Now we can choose a basis of such that is a basis of . Let be such that for . Also let denote, respectively, the polynomials in obtained by putting in . Note that for and for . Intersecting with the hyperplane and its complement, we obtain
[TABLE]
Consequently, (21) follows from (20) and (3), since . Moreover, (22) and (23) are easily deduced from the inequality displayed above and Lemma 2.3. ∎
We shall now proceed to refine the inequalities in (21)–(23) into (18) by considering separately various possibilities for the -invariant of a given subspace of . It will be seen that in many cases we obtain a strict inequality.
Lemma 4.2**.**
Assume that . Also suppose (20) holds. Let be an -dimensional subspace of satisfying . Then .
Proof.
By Lemma 4.1, we see that (22) holds. This together with (11) gives
[TABLE]
where the last inequality uses (11) and the assumption that . ∎
Lemma 4.3**.**
Assume that . Also suppose (20) holds. Let be any -dimensional subspace of satisfying . Then .
Proof.
Let . By Lemma 4.1, we see that . Now since and , we see from (11) that
[TABLE]
Further, since , we find and . Consequently, . Thus the above estimate simplifies to
[TABLE]
where the second inequality uses . Also , thanks to (11). Thus , which yields . ∎
Lemma 4.4**.**
Assume that . Also suppose (20) holds. Let be any -dimensional subspace of satisfying . Then .
Proof.
Let . By Lemma 4.1, we see that (23) holds. In view of (10), this gives
[TABLE]
Now since , there are unique satisfying conditions as in (13), namely,
[TABLE]
This implies that an equation for such as (13) with changed to , is given by
[TABLE]
Thus using (14), we see that and moreover,
[TABLE]
where we note that is well-defined since , thanks to our assumptions on and . Using this in the above estimate for , we obtain
[TABLE]
where the second inequality above uses the assumption that . ∎
Lemma 4.5**.**
Assume that . Also suppose (20) holds. Let be any -dimensional subspace of satisfying . Then .
Proof.
Let . By Lemma 4.1, we see that . Here and . Hence from (10), we see that
[TABLE]
Consequently, using (11) and (15), we obtain
[TABLE]
Since , this gives , and so in view of (14), we conclude that . ∎
It remains to prove (18) when and also when and . Here we need a slightly different technique.
Lemma 4.6**.**
Assume that . Also suppose (20) holds. Let be any -dimensional subspace of satisfying either (i) or (ii) and . Then .
Proof.
Let . Given any hyperplane in , we have for some . Now , and hence in view of (20) and (10), we see that
[TABLE]
Since was an arbitrary hyperplane in , using Lemma 2.5, we obtain
[TABLE]
Hence the desired result follows from parts (i) and (ii) of Proposition 2.8. ∎
5. Completion of the Proof
In this section we combine the results of the previous sections to prove one of our main results.
Context
As before, are fixed positive integers. As in Conjecture 1, we generally assume that . But the relevant assumptions are specified in the statement of the results.
Lemma 5.1**.**
Assume that and . Then (18) holds, that is,
[TABLE]
Proof.
We use induction on . Note that since and , we have and if , then and , in which case (18) clearly holds, thanks to (5). Now assume that and that (18) holds for smaller values of . Since (18) follows from (5) when and from Theorem 2.1 when , we shall henceforth assume that and .
Let be any linearly independent polynomials in . Two cases are possible.
Case 1. are not relatively prime, i.e., they have a nonconstant common factor.
In this case, the hypothesis of Proposition 3.2 is satisfied, thanks to the induction hypothesis. Thus from Propositions 3.2 and 3.3, we see that (18) holds.
Case 2. are relatively prime.
In this case, (20) is satisfied, thanks to the induction hypothesis. Further if we let be the subspace of spanned by and let , then we have . Hence from Lemmas 4.3, 4.4, and 4.5, we see that (18) holds when , whereas from Lemmas 4.2, and 4.6, we see that (18) holds when . This completes the proof. ∎
The reverse inequality is easy to deduce from the Heijnen-Pellikaan Theorem.
Lemma 5.2**.**
Assume that and . Then
[TABLE]
Proof.
Note that and hence by (3), there exist linearly independent in such that For , let and let . It is easily seen that are linearly independent elements of and that . ∎
Theorem 5.3**.**
Assume that and . Then .
Proof.
If , then the desired result follows from Theorem 2.10 as noted in the last paragraph of Section 2. If , then it is easily seen that , and so in this case the desired result follows from Lemmas 5.1 and 5.2. ∎
6. The case
It may have been noted that several of the lemmas and propositions in previous sections are actually valid for . Thus one may wonder if Conjecture 1 actually holds for as well. We will answer this here by showing that a straightforward analogue of Conjecture 1 is not valid for , in general. More precisely, we will determine for and show that
[TABLE]
Note that the case is already covered by Theorem 2.10, and here behaves as in Conjecture 1. Likewise, when and , thanks to Theorem 2.1.
Lemma 6.1**.**
Assume that . Then
[TABLE]
Proof.
For , consider defined by . Clearly, are linearly independent. Writing and , we see that
[TABLE]
and
[TABLE]
where denotes the complement of in . Thus ∎
We shall now show that the lower bound in Lemma 6.1 is, in fact, the exact value of when . The technique used will be similar to that used in the proof of Theorem 5.3.
Theorem 6.2**.**
Assume that and . Then
[TABLE]
Proof.
In view of Lemma 6.1, it suffices to show that
[TABLE]
We will prove this using induction on . If , then (24) is an immediate consequence of (5). Now assume that and that (24) holds for smaller values of . Let be any linearly independent polynomials, spanning a linear space . We write and without loss of generality, we may assume that and also that for . We shall write and , and divide the proof into two cases as follows.
**Case 1: ** .
Here, using the induction hypothesis and the definition of , we see that
[TABLE]
Hence from Lemma 2.5, we obtain (24).
**Case 2: ** .
In this case using the induction hypothesis, we obtain
[TABLE]
and since and , from (3) and (11), we obtain
[TABLE]
where denote the complement of in . Therefore we have
[TABLE]
where
[TABLE]
where the last inequality follows since and . This proves (24). ∎
A special case of Theorem 6.2 is that if , then , and from (11), we see that this equals . However, when and , by substituting and , an elementary calculation shows that
[TABLE]
and so . Thus, Conjecture 1 does not hold for in general. Perhaps somewhat surprisingly, it turns out that Conjecture 1 is valid when and . The proof follows a very similar pattern as in Theorem 6.2
Theorem 6.3**.**
Assume that . Then
[TABLE]
Proof.
We will show using induction on that When , this follows from (5). Assume that and that the inequality holds for smaller values of . Let be any linearly independent polynomials in , and let be the linear space spanned by them. Write and assume without loss of generality that and also that for . We shall write and , and divide the proof into two cases as follows.
**Case 1: ** or .
Using the induction hypothesis, we obtain for any hyperplane in defined over ,
[TABLE]
Hence using Lemma 2.5 we obtain
**Case 2: ** .
Here, we can apply Theorem 6.2 and it gives
[TABLE]
Moreover, using (3) and (11), we obtain
[TABLE]
where is obtained by putting in for and . Hence
[TABLE]
Since , this implies .
It follows that . The reverse inequality follows from Lemma 5.2. This completes the proof. ∎
It is thus seen that the formulas for obtained in this section for are of a different kind than those for when . The general pattern for for does not seem clear, even conjecturally. At any rate, it remains an interesting open problem to determine for all the remaining values of and when and also when .
7. Acknowledgements
The authors would like to gratefully acknowledge the following foundations and institutions: Peter Beelen is supported by The Danish Council for Independent Research (Grant No. DFF–4002-00367). Mrinmoy Datta is supported by The Danish Council for Independent Research (Grant No. DFF–6108-00362). Sudhir Ghorpade is partially supported by IRCC Award grant 12IRAWD009 from IIT Bombay. Also, Peter Beelen would like to thank IIT Bombay where large parts of this work were carried out when he was there in January 2016 as a Visiting Professor. Sudhir Ghorpade would like to thank the Technical University of Denmark for a visit of 10 days in June-July 2016 during which this work was completed. We are also grateful to an anonymous referee for many useful comments and suggestions.
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