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Open Access 17-09-2024

Designs in finite classical polar spaces

Authors: Michael Kiermaier, Kai-Uwe Schmidt, Alfred Wassermann

Published in: Designs, Codes and Cryptography | Issue 4/2025

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Abstract

The article delves into the classification and construction of non-degenerate sesquilinear and non-singular quadratic forms on vector spaces over finite fields, leading to the concept of finite classical polar spaces. It introduces the notion of designs in polar spaces, extending the theory of combinatorial and subspace designs. The article presents basic results, including supplementary and reduced designs, and constructs derived and residual designs. It also computes intersection numbers and applies Fisher's inequality to polar spaces, classifying all t-Steiner systems of strength. The computational part of the article constructs numerous previously unknown parameter sets for designs in various classical polar spaces over small finite fields. The article concludes with open problems and suggestions for future research, highlighting the potential for further exploration in this area.
Notes

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1 Introduction

The classification of non-degenerate sesquilinear and non-singular quadratic forms on vector spaces over a finite field gives rise to the finite classical polar spaces. Fixing such a form on a finite ambient vector space V, the polar space \({\mathcal {Q}}\) is formed by all subspaces of V which are totally isotropic or totally singular. The subspaces of maximal dimension are called generators and their dimension is called the rank of \({\mathcal {Q}}\). The type of the form together with the order q of the base field will be called the type Q of \({\mathcal {Q}}\).
A set \({\mathcal {S}}\) of generators of \({\mathcal {Q}}\) such that each point of \({\mathcal {Q}}\) is incident with exactly \(\lambda \) elements of \({\mathcal {S}}\) is called a \(\lambda \)-spread. The study of these objects goes back to Segre (1965) [30]. Segre’s work already contains a generalization replacing the points by subspaces of arbitrary dimension t, known as a \(\lambda \)-regular system with regard to \((t-1)\)-spaces. This definition clearly is related to the notion of combinatorial designs [12] and subspace designs [7], where the ambient subset (or subspace) lattice has been replaced by the subspaces of the polar space \({\mathcal {Q}}\), and it is covered by Delsarte’s designs in association schemes, see Vanhove [32, pp. 39, 81, 193].
This naturally leads us to the following full adaption of the notion of a design to polar spaces. A t-\((r, k, \lambda )_Q\) design is a set D of k-dimensional subspaces of the ambient polar space \({\mathcal {Q}}\) of type Q such that every t-dimensional subspace of \({\mathcal {Q}}\) is incident with exactly \(\lambda \) elements (called blocks) of D. A design with \(\lambda = 1\) is called Steiner system. The \(\lambda \)-regular systems with regard to the \((t-1)\)-spaces form the special case \(k = r\).
Apart from the elementary cases of trivial designs and designs coming from Latin–Greek halvings, hitherto only very few concrete constructions of designs in polar spaces of strength \(t\ge 2\) have been known. De Bruyn and Vanhove (2012) constructed designs with parameters 2-\((3,3,2)_{\Omega (3)}\) and 2-\((3,3,2)_{\Omega ^-(2)}\), and showed the non-existence of 2-\((3,3,2)_{{{\,\textrm{Sp}\,}}(3)}\) design [15]. In the sequel, Bamberg and Lansdown [3, 26] constructed 2-\((3,3,(q+1)/2)_{\Omega (q)}\) designs for \(q\in \{5,7,11\}\). Non-existence results for Steiner systems in polar spaces have been shown in [29], see Theorem 20. By the recent non-constructive result [35], nontrivial t-\((r,k,\lambda )_Q\) designs exist for all values of t and all types Q, provided that \(k > \frac{21}{2} t\) and r is large enough.
In this article, we investigate the theory of classical and subspace designs for their applicability to designs in polar spaces. After collecting the required preliminaries in Sect. 2, Sect. 3 states the definition of a design D in a polar space and gives the first basic results, including the supplementary (Lemma 4) and the reduced (Lemma 5) design of D. The latter leads to the notion of admissible parameters. In Sect. 4, we construct derived (Theorem 6) and residual (Theorem 7) designs of D. Equations for the intersection numbers of D are computed in Sect. 5 (Theorems 11 and 12) and yield a uniqueness result for the Latin–Greek halvings (Lemma 14) in hyperbolic polar spaces. In Sect. 6, we show that the Gram matrix of the point-block incidence matrix of a design D of strength \(t \ge 2\) is related to the adjacency matrix of the collinearity graph of the ambient polar space. This leads to an analog of Fisher’s inequality (Theorem 18), which in turn yields the classification of all t-\((r,r,1)_{\Omega ^+(q)}\) Steiner systems of strength \(t \ge 2\) (Theorem 19) by elementary means. In the computational part in Sect. 7, we construct designs with \(t=2\) for more than 140 previously unknown parameter sets in various classical polar spaces over \(\mathbb {F}_2\) and \(\mathbb {F}_3\). Among these are the first nontrivial 2-designs where the block dimension k is strictly smaller than the rank r of the ambient polar space. We conclude the article stating a few open problems and suggestions for further research in Sect. 8.

2 Preliminaries

Throughout this article, \(q \ge 2\) will denote a prime power and V a vector space over \(\mathbb {F}_q\) of finite dimension v. The lattice \({{\,\textrm{PG}\,}}(V) \cong {{\,\textrm{PG}\,}}(n-1,q)\) of all subspaces of V is a finite projective space of algebraic dimension n and geometric dimension \(n-1\). For subspaces of projective and polar spaces, the word dimension will always denote the algebraic dimension, as the resulting formulas tend to be simpler and closer to the classical theory of block designs. The set of all \(\mathbb {F}_q\)-subspaces of V of dimension k will be denoted by https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq44_HTML.gif . Its cardinality is given by the Gaussian binomial coefficient
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ33_HTML.png
We will make use of the abbreviation https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq45_HTML.gif , which is known as the q-analog of the number v. The subspaces of algebraic dimension 1 will be called points, of dimension 2 lines, of dimension 3 planes and dimension \(v - 1\) hyperplanes.
For a subspace U of V of dimension u, V/U is the ambient vector space of a projective space over \(\mathbb {F}_q\) of dimension \(v - u\). As a consequence, the number of subspaces of V of dimension k containing U is https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq49_HTML.gif .
For an introduction to finite polar spaces, we refer to [2, 14]. Table 1 shows all classical polar spaces of rank \(r \ge 1\) over the finite field \(\mathbb {F}_q\) up to isomorphism. It will be convenient to collect all finite classical polar spaces \(\mathcal{Q}\) which only differ (possibly) in their rank r (but not in the type of the underlying form nor the number q) into the type Q. The table includes the symbol we will use for the type, as well as a parameter \(\epsilon \) which allows a uniform treatment of all types of polar spaces in counting formulas. Note that the Hermitian polar spaces only exist for squares q. For even q, there is an isomorphism \(\Omega (2t+1) \cong {{\,\textrm{Sp}\,}}(2r,q)\). For the readers’ convenience, the second last column lists an alternative set of symbols that are sometimes found in the literature (for example [29]). Each polar space has a natural embedding into a projective geometry \({{\,\textrm{PG}\,}}(V)\). The column n lists the (algebraic) dimension \(\dim (V)\) of this geometry, and column G contains the collineation group, see e.g. [9, Section 2.3.5].
Table 1
Finite classical polar spaces of rank r
Name
Symbol \(\mathcal{Q}\)
Type Q
n
\(\epsilon \)
Alternative symbols
G
Symplectic
\({{\,\textrm{Sp}\,}}(2r, q)\)
\({{\,\textrm{Sp}\,}}(q)\)
2r
0
\(C_r\)
\(W_{2r-1}(q)\)
\({{\,\mathrm{P\Gamma Sp}\,}}_{2r}(q)\)
Hermitian
U(2rq)
\(U^+(q)\)
2r
\(-1/2\)
\( ^2A_{2r-1}\)
\(H_{2r-1}(q)\)
\({{\,\mathrm{P\Gamma U}\,}}_{2r}(\sqrt{q})\)
Hermitian
\(U(2r+1, q)\)
\(U^-(q)\)
\(2r+1\)
\(+1/2\)
\( ^2A_{2r}\)
\(H_{2r}(q)\)
\({{\,\mathrm{P\Gamma U}\,}}_{2r+1}(\sqrt{q})\)
Hyperbolic
\(\Omega ^+(2r,q)\)
\(\Omega ^+(q)\)
2r
\(-1\)
\(D_r\)
\(Q^+_{2r-1}(q)\)
\({{\,\mathrm{P\Gamma O}\,}}^+_{2r}(q)\)
Parabolic
\(\Omega (2r+1,q)\)
\(\Omega (q)\)
\(2r+1\)
0
\(B_r\)
\(Q_{2r}(q)\)
\({{\,\mathrm{P\Gamma O}\,}}_{2r+1}(q)\)
Elliptic
\(\Omega ^-(2r+2, q)\)
\(\Omega ^-(q)\)
\(2r+2\)
\(+1\)
\( ^2D_{r+1}\)
\(Q^-_{2r+1}(q)\)
\({{\,\mathrm{P\Gamma O}\,}}^-_{2r+2}(q)\)
In the following, \(\mathcal{Q}\) will always denote a finite classical polar space over \(\mathbb {F}_q\) of rank \(r \ge 1\), Q will denote its type and \(\epsilon \) will be its parameter as listed in Table 1. Corresponding to the notation for vector spaces, the set of all subspaces of \(\mathcal{Q}\) of dimension k will be denoted by https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq100_HTML.gif , and its cardinality will be denoted by https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq101_HTML.gif . Two distinct points https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq102_HTML.gif are called collinear if the line \(\langle P,P'\rangle \) is contained in \({\mathcal {Q}}\). For a subspace U of the polar space \(\mathcal{Q}\), the symbol \(U^\perp \) denotes the orthogonal subspace of U in V with respect to the underlying form. Note that \(\dim (U) + \dim (U^\perp ) = n\), and for all subspaces U of \({\mathcal {Q}}\) we have \(U \subseteq U^\perp \).
A hyperplane H of the ambient vector space V is either degenerate or non-degenerate with respect to the underlying form. The degenerate hyperplanes are exactly the ones of the form \(H = P^\perp \) with https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq111_HTML.gif . Moreover, all subspaces of \(\mathcal{Q}\) contained in H pass through the point P, and after modding out P, the resulting set of spaces is a polar space of the same type Q and rank one less. For non-degenerate hyperplanes H, the restriction of \(\mathcal{Q}\) to H is again a polar space.
We need some basic counting formulas in the subspace poset of finite classical polar spaces. A useful observation is that for a given subspace U of dimension u in the poset of all subspaces of the finite polar space \(\mathcal{Q}\), the interval below U is the finite projective space \({{\,\textrm{PG}\,}}(U) \cong {{\,\textrm{PG}\,}}(u-1,q)\), and the interval above U is the finite polar space \(U^\perp / U\), which is of the same type Q and of rank \(r - u\). Therefore, counting subspaces below U just resembles counting in finite projective spaces as discussed above. For counting subspaces above U, we prepare the following lemma.
Lemma 1
(a)
The number of k-dimensional subspaces of \(\mathcal{Q}\) is equal to
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ34_HTML.png
 
(b)
The number of k-dimensional subspaces of \(\mathcal{Q}\) containing a fixed u-dimensional subspace is
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ35_HTML.png
 
Proof
Part (a) is found in [10, Lemma 9.4.1]. For an u-dimensional subspace U, Part (b) follows from an application of Part (a) to the quotient polar space \(U^\perp / U\), which is of the same type Q and of rank u less compared to the original polar space \(\mathcal{Q}\). \(\square \)
Again, we define the abbreviation https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq123_HTML.gif . Table 2 lists the polar spaces \(\mathcal{Q}'\) arising from non-degenerate hyperplanes of the ambient vector space of \(\mathcal{Q}\), together with the rank \(r'\) and the parameter \(\epsilon '\) of \(\mathcal{Q}'\). Note that in all cases, \(r - r' \in \{0,1\}\) and \(\epsilon ' = \epsilon + 2(r-r') - 1\). We remark that the symplectic space \(\mathcal{Q}= {{\,\textrm{Sp}\,}}(2r,q)\) does not show up in the table, since its point set https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq132_HTML.gif equals the full point set of \({{\,\textrm{PG}\,}}(V)\) (as all vectors are isotropic) and therefore, all hyperplanes are degenerate.
Table 2
Polar spaces \(\mathcal{Q}'\) arising from non-degenerate hyperplanes of \(\mathcal{Q}\)
\(\mathcal{Q}\)
\(\epsilon \)
\(\mathcal{Q}' \)
\(r' \)
\(\epsilon '\)
\(U(2r+1,q) \)
\(+1/2 \)
U(2rq)
r
\(-1/2 \)
U(2rq)
\(-1/2 \)
\(U(2(r-1)+1,q) \)
\(r-1\)
\(+1/2 \)
\(\Omega ^+(2r,q) \)
\(-1 \)
\(\Omega (2(r-1)+1,q) \)
\(r-1\)
0
\(\Omega (2r+1,q) \)
0
\(\Omega ^+(2r,q) \)
r
\(-1 \)
\(\Omega (2r+1,q) \)
\(-1/2 \)
\(\Omega ^-(2(r-1) + 2,q)\)
\(r-1\)
\(+1/2 \)
\(\Omega ^-(2r+2,q)\)
\(+1 \)
\(\Omega (2r+1,q) \)
r
0
The collinearity graph of a polar space \(\mathcal{Q}\) has the points of \(\mathcal{Q}\) as vertex set, with two of them being adjacent if they are collinear. This graph is known to be strongly regular with the parameters \((v,k,\lambda ,\mu )\) where [18]
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ36_HTML.png
From these parameters, the eigenvalues can be computed as \(\theta _0 = k\) with multiplicity \(m_0=1\) and the two zeroes \(\theta _1\), \(\theta _2\) of the quadratic equation \(\theta ^2 - (\lambda - \mu )\theta - (k - \mu ) = 0\). The remaining multiplicities \(m_1\) and \(m_2\) are then determined by the system of linear equations \(\theta _1 m_1 + \theta _2 m_2 = -1\) and \(m_1 + m_2 = v - 1\). This leads [9, Theorem 2.2.12] to the eigenvalues
$$\begin{aligned} \theta _0&= k,&\theta _1&= q^{r-1} - 1,&\theta _2&= -(q^{r+\epsilon -1} + 1), \end{aligned}$$
with multiplicities
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ37_HTML.png

3 Designs in polar spaces

Since the early 1970s, the notion of combinatorial block designs has been generalized to subspace designs, which are designs in finite projective spaces and can be understood as a q-analog of the classical situation. Many results in classical block designs turned out to have a generalization for subspace designs. We refer the reader to [12] for a comprehensive treatment of combinatorial designs and [7] for an introduction and an overview to subspace designs.
The theory of subspace designs will serve as a blueprint for our investigation of designs in finite classical polar spaces. As we will see, parts of the basic theory can also be applied in this situation, while others apparently do not have a direct adaption. Again, \(\mathcal{Q}\) will denote a finite classical polar space over \(\mathbb {F}_q\) of rank \(r \ge 1\), Q will denote its type and \(\epsilon \) will is its parameter as listed in Table 1.
Definition 2
Let \(t,k\in \{0,\ldots ,r\}\) and \(\lambda \) be a non-negative integer. A set D of subspaces of \(\mathcal{Q}\) of (algebraic) dimension k is called a t-\((r,k,\lambda )_Q\) design (or a t-\((r,k,\lambda )\) design in \(\mathcal{Q}\)) if every subspace T of \(\mathcal{Q}\) of (algebraic) dimension t is contained in exactly \(\lambda \) elements of D.
The elements of D are called blocks and the number t is called the strength of the design D. In the case \(\lambda = 1\), D is called a Steiner system.
We remark that our definition doesn’t allow repeated blocks, so in design theory terminology, all designs are considered to be simple. Steiner systems with \(t = 1\) are called spreads and are well-studied objects, compare [14].
In finite geometry, designs with parameters t-\((r,r,\lambda )_Q\), i.e. the dimensions of the blocks equal the rank of the polar space, were already studied by Segre [30] under the name \(\lambda \)-regular systems with respect to \((t-1)\)-spaces. \(\lambda \)-regular systems with respect to points are called \(\lambda \)-spreads, see [13] and [9, Sec. 2.2.7].
Of course, the empty design https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq194_HTML.gif is a t-\((r,k,0)_q\) design for all values \(t\in \{0,\ldots ,k\}\).
The following two lemmas are a direct consequence of Lemma 1(b).
Lemma 3
The complete design consisting of all k-dimensional subspaces of \(\mathcal{Q}\) is a t-\((r,k,\lambda _{\max })_{Q}\) design with
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ38_HTML.png
Lemma 4
Let D be a t-\((r,k,\lambda )_{Q}\) design. The supplementary design https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq200_HTML.gif is a design with the parameters t- https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq201_HTML.gif .
By the last lemma, only the range \(\lambda \in \{1,\ldots , \lfloor \lambda _{\max } / 2\rfloor \}\) is relevant for the investigation of designs. Designs D with \(\lambda = \lambda _{\max }/2\) are called halvings as they split https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq204_HTML.gif into two “halves” D and \(D^\complement \) which both are designs with the same parameters. In the case \(r = k\) halvings are also called hemisystems [13].
The empty and the complete design are supplementary to each other. They are called the trivial designs.
Lemma 5
Let D be a t-\((r,k,\lambda )_{Q}\) design. Then for each \(s\in \{0,\ldots ,t\}\), D is an s-\((r,k,\lambda _s)_{Q}\) design with
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ39_HTML.png
In particular, the number of blocks of D is given by \(\#D = \lambda _0\).
Proof
Let \(s\in \{0,\ldots ,t\}\), https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq212_HTML.gif and \(\lambda _S\) the number of blocks of D containing S. Double counting the set X of all pairs https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq214_HTML.gif with \(S \subseteq T \subseteq B\) gives
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ40_HTML.png
Therefore
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ41_HTML.png
does not depend on the choice of S. \(\square \)
For \(s = t-1\), the resulting design of Lemma 5 is called the reduced design of D. The number \(\lambda _1\) is called the replication number of D. We remark that \(\lambda _t = \lambda \). For a t-\((r,k,\lambda )_{Q}\) design, the numbers \(\lambda _0, \ldots ,\lambda _t\) clearly must be integers. If these integrality conditions are satisfied, the parameters t-\((r,k,\lambda )_{Q}\) will be called admissible. If for admissible parameters a design exists, the parameters are called realizable.
For fixed Q, r, k and t, the set of the admissible parameters will have the form t-\((r,k,\lambda )_Q\) with \(\lambda \in \{0,\Delta _\lambda ,2\Delta _\lambda ,\ldots ,\lambda _{\max }\}\), where
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ42_HTML.png
In the important case \(k = r\) we always get \(\Delta _\lambda = 1\), implying that the integrality conditions do not give any further restrictions on the parameters.

4 Derived and residual designs

Now we investigate the restriction of designs to hyperplanes H. Because of [20], resulting constructions can be seen as a polar space analog of the derived (Theorem 6) and the residual (Theorem 7) design.
We start with the easier case of a degenerate hyperplane H. Here \(H = P^\perp \) with https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq228_HTML.gif and we want to mod out P to get a polar space.
Theorem 6
Let D be a t-\((r,k,\lambda )_{Q}\) design of strength \(t \ge 1\) and let P be a point in \(\mathcal{Q}\).
Then
$$\begin{aligned} {{\,\textrm{Der}\,}}_P(D) = \{B / P \in D\mid P \subseteq B\} \end{aligned}$$
is a \((t-1)\)-\((r-1,k-1,\lambda )_Q\) design in the ambient polar space \(P^\perp / P\). It is called the derived design of D in P.
Proof
By the theory of polar spaces, \({{\,\textrm{Der}\,}}_P(D)\) is contained in \(\mathcal{Q}' = P^\perp / P\), which is a polar space of rank \(r-1\) and the same type Q as \(\mathcal{Q}\). Let https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq239_HTML.gif . Then \(T' = T/P\) with https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq241_HTML.gif and \(P \subseteq T\). By the representation \(B' = B / P\) with \(P \subseteq B\), the elements \(B' \in {{\,\textrm{Der}\,}}_P(D)\) with \(T' \subseteq B'\) are in bijective correspondence with the blocks \(B\in D\) with \(T\subseteq B\). As D is a t-design, their number equals \(\lambda \). \(\square \)
It remains the case of non-degenerate hyperplanes H.
Theorem 7
Let D be a t-\((r,k,\lambda )_Q\) design and let H be a non-degenerate hyperplane of V. The restriction of \(\mathcal{Q}\) to H is a polar space \(\mathcal{Q}'\) of some rank \(r'\in \{r,r-1\}\) and some type \(Q'\).
Then \({{\,\textrm{Res}\,}}_H(D) = \{B\in D \mid B \subseteq H\}\) is a \((t-1)\)-\((r', k, \lambda ')_{Q'}\)-design with
$$\begin{aligned} \lambda ' = {\left\{ \begin{array}{ll} \dfrac{[{r-t+1}]_{q}\, (q^{r-k+\epsilon } + 1)}{[{k-t+1}]_{q}}\;\lambda & \text {if }r' = r; \\ \quad \dfrac{(q^{r-t+1+\epsilon } + 1)\, [{r-k}]_{q}}{[{k-t+1}]_{q}}\;\lambda & \text {if }r' = r-1. \end{array}\right. } \end{aligned}$$
It is called the residual design of D in H.
Proof
Let https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq259_HTML.gif and \(\Lambda = \{B' \in {{\,\textrm{Res}\,}}_H(D) \mid T' \subseteq B'\}\). We count the set
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ43_HTML.png
in two ways.
By \(T \cap H = T'\), the involved subspaces T necessarily contain \(T'\). By Lemma 1(b), the number of all https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq263_HTML.gif with \(T' \subseteq \bar{T}\) is \([{r-t+1}]_{Q}\). Again by Lemma 1(b), the number of these \(\bar{T}\) contained in H is \([{r'-t+1}]_{Q'}\). The possible subspaces T are exactly the remaining \(\alpha {:=}[{r-t+1}]_{Q} - [{r'-t+1}]_{Q'}\) subspaces \(\bar{T}\), as by the dimension formula they intersect H in dimension \(t-1\), which means \(\bar{T} \cap H = T'\). Each such T is contained in exactly \(\lambda \) blocks of D. Hence \(\#X = \alpha \lambda \).
On the other hand, there are \(\lambda _{t-1}\) ways to select \(B\in D\) with \(T' \subseteq B\). By the dimension formula, either \(B \subseteq H\) (equivalently, \(B\in \Lambda \)) or \(\dim (B \cap H) = k-1\). Only in the latter case, B can be part of a pair in X. Fixing such a block B, we want to determine the number \(\beta \) of https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq281_HTML.gif with \(T \cap H = T'\). These T are of the form \(T' + P\) with https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq284_HTML.gif . As there are \([{k}]_{q} - [{k-1}]_{q} = q^{k-1}\) choices for P, and any \([{t}]_{q} - [{t-1}]_{q} = q^{t-1}\) of them generate the same space \(T = T' + P\), we get \(\beta = \frac{q^{k-1}}{q^{t-1}} = q^{k-t}\). Therefore, \(\#X = (\lambda _{t-1} - \#\Lambda )q^{k-t}\).
Equating these two expressions for \(\#X\) and using Lemma 5, we find
$$\begin{aligned} \#\Lambda&= \lambda _{t-1} - \frac{\alpha }{q^{k-t}}\lambda \\ &= \frac{1}{q^{k-t}}\Big (q^{k-t}\,\frac{[{r-t+1}]_{Q}}{[{k-t+1}]_{q}} - [{r-t+1}]_{Q} + [{r'-t+1}]_{Q'}\Big )\lambda \\&= \frac{\mu }{[{k-t+1}]_{q}\,q^{k-t}}\,\lambda \end{aligned}$$
with
$$\begin{aligned} \mu = [{k-t+1}]_{q}\,[{r'-t+1}]_{Q'} - [{k-t}]_{q}\,[{r-t+1}]_{Q}. \end{aligned}$$
Since \(\#\Lambda \) does not depend on the choice of https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq292_HTML.gif , we get that \({{\,\textrm{Res}\,}}_H(D)\) is a \((t-1)\)-\((r',k,\lambda ')_{Q'}\) design with \(\lambda ' = \#\Lambda \).
Let \(\epsilon '\) be the parameter of \(\mathcal{Q}'\). For \(r' = r\), we have \(\epsilon ' = \epsilon -1\) and thus
$$\begin{aligned} \mu&= \frac{[{r-t+1}]_{q}}{q-1}\Big ((q^{k-t+1}-1)\, (q^{r-t+\epsilon } + 1) - (q^{k-t} - 1)\, (q^{r-t+1+\epsilon } + 1)\Big ) \\ &= [{r-t+1}]_{q}\, \frac{q^{k-t+1} - q^{r-t+\epsilon } - q^{k-t} + q^{r-t+1+\epsilon }}{q-1} \\&= [{r-t+1}]_{q}\, q^{k-t}\, (q^{r-k+\epsilon } + 1). \end{aligned}$$
For \(r' = r - 1\), we have \(\epsilon ' = \epsilon +1\) and therefore
$$\begin{aligned} \mu&= \frac{q^{r-t+1+\epsilon } + 1}{(q-1)^2}\Big ((q^{k-t+1}-1)(q^{r-t}-1) - (q^{k-t} - 1)(q^{r-t+1} - 1)\Big ) \\ &= (q^{r-t+1+\epsilon } + 1)\, \frac{-q^{k-t+1} - q^{r-t} + q^{k-t} + q^{r-t+1}}{(q-1)^2} \\&= (q^{r-t+1+\epsilon } + 1)\, q^{k-t}\, [{r-k}]_{q}. \end{aligned}$$
This gives the stated expressions for \(\lambda ' = \#\Lambda \). \(\square \)
Remark 8
In the important case \(k = r\), the formula in Theorem 7 simplifies to
$$\begin{aligned} \lambda ' = {\left\{ \begin{array}{ll} (q^\epsilon + 1)\lambda & \text {if }r' = r; \\ 0 & \text {if }r' = r-1. \end{array}\right. } \end{aligned}$$
The value 0 for \(r' = r-1\) has the following explanation. Here, \(\mathcal{Q}'\) does not contain any subspaces of rank r and thus, \({{\,\textrm{Res}\,}}_H(D)\) will be the empty design. Therefore, for \(k = r\) we would like to apply Theorem 7 for hyperplanes with \(r' = r\) (which exist only for the types \(U^-(q)\), \(\Omega (q)\) and \(\Omega ^-(q)\)). For this situation, the construction of Theorem 7 is already found in [13, Thm. 3.3].
Theorem 9
([13, Thm. 3.3]) Assume \({\mathcal {Q}}\) is embedded as a non-degenerate hyperplane in a polar space \(\bar{{\mathcal {Q}}}\) of rank \(r + 1\). Denote the type of \(\bar{{\mathcal {Q}}}\) by \(\bar{Q}\). Let D be a t-\((r,r,\lambda )_Q\) design in \({\mathcal {Q}}\) and
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ44_HTML.png
Then \(\bar{D}\) is a t-\((r+1,r+1,(1+q^{\epsilon })\lambda )_{\bar{Q}}\) design.
In the theorem, the possible combinations for \(({\mathcal {Q}},\bar{{\mathcal {Q}}})\) are \((\Omega ^-(2r+2,q),\Omega (2(r+1) + 1,q))\), \((\Omega (2r + 1,q),\Omega ^+(2(r+1),q)\) and \((U(2r+1,q),U(2(r+1),q))\). The construction is based on the fact that in these situations, every generator of \(\bar{{\mathcal {Q}}}\) contains a unique generator of \({\mathcal {Q}}\). We remark that our residual design in Theorem 7 is the derived design of \(\bar{D}\) in Theorem 9.
Remark 10
While the polar space version of the derived design in Theorem 6 is a straightforward generalization of the subspace version in [20], our approach to the residual design in polar spaces in Theorem 7 feels somewhat more distant. The reason is that it involves a change of the type of the ambient polar space. One might look for a similar construction where the ambient space is restricted to a proper subspace U of the same type. The largest possible and hence natural choice of such a subspace is \(U = L^\perp \) with a hyperbolic line L. Restricting the polar space \(\mathcal{Q}\) to U, the rank drops by one. Therefore, for a meaningful definition, one would expect that also the strength of the resulting notion of a residual design drops by one compared to the starting design on \(\mathcal{Q}\).1
However, this is not generally the case. We checked computationally that for the constructed 2-\((4,3,3)_{\Omega ^+(2)}\) design (see Sect. 7.1), only 15 out of the 4320 hyperbolic lines lead to a 1-\((3,3,2)_{\Omega ^+(2)}\) design, and for the constructed 2-\((4,3,6)_{\Omega (2)}\) design, no hyperbolic line leads to a 1-design.
So far, we have analogs of the supplementary, the reduced, the derived and the residual design in polar spaces. In the theory of block and subspace designs, there is a further general construction, the dual (or complementary) design. However, we did not find a convincing counterpart of that construction. Our feeling is that there might not be such a thing, since the classical construction of the dual design is based on the fact that the underlying subset resp. subspace lattice is self-dual, which however is not true for the poset of all subspaces of a polar space.

5 Intersection numbers

Another classical topic in the theory of combinatorial and subspace designs are the intersection numbers, which describe the intersection sizes of the blocks of a design with a fixed subspace S. For combinatorial designs they have been originally defined in [27] for blocks S and independently as “i-Treffer” for general sets S in [28].
Lemma 5 allows us to develop the corresponding result for designs in polar spaces. In fact, the statements and the proofs can be done almost literally in the same way as for subspace designs in [21].
For a fixed t-\((r,k,\lambda )_Q\) design D in the polar space \({\mathcal {Q}}\) and a subspace S of \({\mathcal {Q}}\), we define the i-th intersection number (\(i\in \{0,\ldots ,k\}\)) as
$$\begin{aligned} \alpha _i(S) = \#\{B\in D \mid \dim (B \cap S) = i\}. \end{aligned}$$
If the space S is clear from the context, we use the abbreviation \(\alpha _i = \alpha _i(S)\).
First, we derive a polar space counterpart of the intersection equations or Mendelsohn equations, see [27, Th. 1], [28, Satz 2] for classical designs and [21, Th. 2.4] for subspace designs.
Theorem 11
(Intersection equations) Let D be a t-\((r,k,\lambda )_Q\) subspace design and S a subspace of \({\mathcal {Q}}\) of dimension \(s = \dim (S)\). For \(i\in \{0,\ldots ,t\}\) we have the following equation on the intersection numbers of S with respect to D:
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ45_HTML.png
Proof
We count the set X of all pairs https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq352_HTML.gif with \(I \le B\cap S\) in two ways: On the one hand, there are https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq354_HTML.gif possibilities for the choice of https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq355_HTML.gif . By Lemma 5, there are \(\lambda _i\) blocks B such that \(I \le B\), which shows that \(\#X\) equals the right-hand side of the stated equation. On the other hand, fixing a block B, the number of i-subspaces I of \(B\cap S\) is https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq360_HTML.gif . Summing over the possibilities for \(j = \dim (B\cap S)\), we see that \(\#X\) also equals the left-hand side of the stated equation. \(\square \)
The intersection equations can be read as a linear system of equations \(Ax = b\) on the intersection vector \(x = (\alpha _0, \alpha _1,\ldots , \alpha _k)\). The left \((t+1)\times (t+1)\) square part of the matrix https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq367_HTML.gif \((i\in \{0,\ldots ,t\}\) and \(j\in \{0,\ldots ,k\})\) is called the upper triangular q-Pascal matrix, which is known to be invertible with inverse matrix https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq370_HTML.gif . Left-multiplication of the equation system with this inverse yields a parameterization of the intersection numbers \(\alpha _0,\ldots ,\alpha _t\) by \(\alpha _{t+1},\ldots ,\alpha _k\). In this way, we get a counterpart of the Köhler equations, see [24, Satz 1] for classical designs and [21, Th. 2.6] for subspace designs.
Theorem 12
(Köhler equations) Let D be a t-\((r,k,\lambda )_Q\) subspace design and S a subspace of V of dimension \(s = \dim (S)\). For \(i\in \{0,\ldots ,t\}\), a parametrization of the intersection number \(\alpha _i\) by \(\alpha _{t+1},\ldots ,\alpha _k\) is given by
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ46_HTML.png
Corollary 13
Let D be a t-\((r,k,1)_Q\) Steiner system. Let \(S\in D\) be a block. Then the intersection vector of S is uniquely determined by \(\alpha _k = 1\), \(\alpha _{t+1} = \ldots = \alpha _{k-1} = 0\) and the values \(\alpha _i\) (\(i\in \{0,\ldots ,t\}\)) as in Theorem 12.
Proof
Clearly, \(\alpha _k = 1\). Assume that \(\alpha _j \ne 0\) for a \(j\in \{t+1,\ldots ,k-1\}\). Then there exists a block \(B\in D\), \(B \ne S\) with \(\dim (B \cap S) = j > t\). Now any t-subspace of \(B \cap S\) is contained in the two blocks \(B \ne S\) in contradiction to \(\lambda = 1\).
So \(\alpha _{t+1} = \ldots = \alpha _{k-1} = 0\), and the \(\lambda _i\) with \(i\in \{0,\ldots ,t\}\) are determined by Theorem 12. \(\square \)
In hyperbolic polar spaces \(\Omega ^+(q)\), there is a unique partition of the generators into two parts, commonly called Latins and Greeks, which are a design with the parameters \((r-1)\)-\((r,r,1)_{\Omega ^+(q)}\), see e.g. [14]. We will call them legs of the Latin–Greek halvings, or simply the Latin–Greek halvings. (Note that by \(\lambda _{\max } = q^{1+\epsilon } + 1 = 2\), they are halvings.) For two generators B and \(B'\), the number \(r - \dim (B \cap B')\) is even if and only if B and \(B'\) are contained in the same leg of the Latin–Greek halving. Hence the intersection numbers of the Latin–Greek halving with respect to a block S have the property \(\alpha _i = 0\) if \(r-i\) is odd.
The theory of intersection numbers yields the following uniqueness result.
Lemma 14
Let D be a \((r-1)\)-\((r,r,1)_{\Omega ^+(q)}\) Steiner system. Then D is a Latin–Greek halving.
Proof
Let S be a block of D. By Corollary 13, the intersection vector of S is uniquely determined by the parameters of the Steiner system D, and hence it equals the corresponding intersection vector of the blocks of the Latin–Greek halving. Therefore \(\alpha _i(S) = 0\) if \(r - i\) is odd. This implies that D contains only (and then all the) blocks from the same leg as S. \(\square \)

6 Fisher’s inequality and symmetric designs

For combinatorial designs, a classical result is Fisher’s inequality [4, 12], which states that a t-\((v,k,\lambda )\) design of strength \(t \ge 2\) has at least as many blocks as points. In the case of equality, a design is called symmetric. For subspace designs, Fisher’s inequality has been proven in [11], also showing that there are no symmetric subspace designs of strength \(t \ge 2\). For generalizations of Fisher’s inequality for classical and subspace designs, see [22].
The natural question in our situation is if there exist designs such that
$$\begin{aligned} \text {number of blocks} < \text {number of points of the ambient polar space}. \end{aligned}$$
(1)
Moreover, we would also like to investigate the equality case, where the corresponding designs are called symmetric. We start by looking at the consequences of Lemma 5.
Lemma 15
For \(r \ge t \ge 2\) and \(\lambda \in \{1,\ldots ,\lambda _{\max }\}\), the admissible parameters t-\((r,k,\lambda )_Q\) such that the number of blocks is less or equal than the number of points of \({\mathcal {Q}}\), are given by
  • 2-\((r,r,1)_{\Omega (q)}\) and 2-\((r,r,1)_{W(q)}\) with \(r \ge 2\),
  • 2-\((r,r,\lambda )_{U^+(q)}\) with \(\lambda = 1\) for \(r = 2\), or \(\lambda \in \{1,\ldots ,\sqrt{q}\}\) for \(r \ge 3\),
  • 2-\((r,r,\lambda )_{\Omega ^+(q)}\) with \(\lambda = 1\) for \(r = 2\), or \(\lambda \in \{1,2\}\) for \(r = 3\), or \(\lambda \in \{1,\ldots ,q+1\}\) for \(r \ge 4\),
  • 3-\((r,r,1)_{\Omega ^+(q)}\) with \(r\in \{3,4\}\),
where equality occurs precisely for
  • 2-\((2,2,1)_{\Omega (q)}\) and 2-\((2,2,1)_{W(q)}\),
  • 3-\((4,4,1)_{\Omega ^+(q)}\) and its reduced parameters 2-\((4,4,q+1)_{\Omega ^+(q)}\).
Proof
The condition “number of blocks less or equal than number of points” means https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq439_HTML.gif , which (using \(t \ge 1\)) is equivalent to
$$\begin{aligned} \lambda \le \frac{q^k - 1}{q-1}\cdot \frac{(q^{k-1} - 1) \cdots (q^{k-t+1} - 1)}{(q^{r-1} - 1) \cdots (q^{r-t+1} - 1)}\cdot \frac{1}{(q^{r+\epsilon -t+1} + 1) \cdots (q^{r+\epsilon -1} + 1)} \end{aligned}$$
The right-hand side is strictly decreasing in r, \(\epsilon \), and t and strictly increasing in k. In the case \(k = r-1\) we get (using \(t \ge 2\))
$$\begin{aligned} \lambda \le \frac{1}{q-1}\cdot \frac{q^{r-t}-1}{q^{r+\epsilon -1} + 1} \cdot \frac{1}{(q^{r+\epsilon -t+1} + 1) \cdots (q^{r+\epsilon -2} + 1)} < 1, \end{aligned}$$
such that we can restrict ourselves to the case \(k = r\), where the investigated inequality simplifies to
$$\begin{aligned} \lambda \le \frac{q^r - 1}{q-1} \cdot \frac{1}{(q^{r+\epsilon -t+1} + 1) \cdots (q^{r+\epsilon -1} + 1)}. \end{aligned}$$
We consider the following cases:
  • For \(t \ge 4\) we have \(r \ge 4\) and thus
    $$\begin{aligned} (q^{r+\epsilon -3} + 1)(q^{r+\epsilon -2} + 1)(q^{r+\epsilon -1} + 1) \\ \qquad \ge (q^{0} + 1)\cdot q^{1} \cdot q^{r-2} = 2q^{r-1} > \frac{q^r - 1}{q-1}, \end{aligned}$$
    which implies \(\lambda < 1\).
  • In the case \(t = 3\) and \(\epsilon = -\frac{1}{2}\) (so \(r \ge 3\) and \(q \ge 4\)) we have
    $$\begin{aligned} (q^{r+\epsilon -2} + 1)(q^{r+\epsilon -1} + 1) \ge (q^{1/2} + 1)\cdot q^{r - 3/2} \\ = q^{r - 1} + \sqrt{q}q^{r-2} \ge q^{r-1} + 2q^{r-2} > \frac{q^r - 1}{q-1}. \end{aligned}$$
  • In the case \(t = 3\) and \(\epsilon \ge 0\) (so \(r \ge 3\)) we have
    $$\begin{aligned}&(q^{r+\epsilon -2} + 1)(q^{r+\epsilon -1} + 1) \ge q\cdot q^{r - 1} \\&= q^r > \frac{q^r - 1}{q-1}. \end{aligned}$$
  • For \(t = 3\) and \(\epsilon = -1\) the inequality simplifies to
    $$\begin{aligned} \lambda \le \frac{q^r - 1}{(q-1)(q^{r-3} + 1)(q^{r-2} + 1)}. \end{aligned}$$
    For \(r \ge 5\), \((q^{r-3} + 1)(q^{r-2} + 1)> q^2 \cdot q^{r-2} = q^r > \frac{q^r - 1}{q-1}\) and thus \(\lambda < 1\). For \(r = 4\), we get \(\lambda \le \frac{q^4 - 1}{(q-1)(q+1)(q^2+1)} = 1\), and \(\lambda = 1\) is an equality case. For \(r = 3\), we compute \(\lambda _{\max } = 1\) and verify that the inequality holds for \(\lambda = 1\).
There remain the cases with \(t = 2\), where the investigated inequality simplifies further to
$$\begin{aligned} \lambda \le \frac{q^r - 1}{(q-1)(q^{r+\epsilon - 1} + 1)} {=:}\bar{\lambda }. \end{aligned}$$
The actual upper bound for \(\lambda \) will be \(\min (\lfloor \bar{\lambda }\rfloor , \lambda _{\max })\), and there is an equality case if and only if \(\lambda = \bar{\lambda } \in \mathbb {Z}\).
  • For \(\epsilon \ge \frac{1}{2}\) we have
    $$\begin{aligned} (q-1)(q^{r+\epsilon -1} + 1)> (q-1)q^{r+\epsilon -1} \ge q^r > q^r - 1 \end{aligned}$$
    where the “\(\ge \)” step follows from \(q-1 \ge 1\) for \(\epsilon = 1\) and from \(q-1 \ge \sqrt{q}\) for \(\epsilon = \frac{1}{2}\) (where we have \(q \ge 4\)). So \(\bar{\lambda } < 1\).
  • For \(\epsilon = 0\), we get
    $$\begin{aligned} \bar{\lambda } = \frac{q^r - 1}{(q-1)(q^{r-1} + 1)} \le \frac{q^{r-1} + q^{r-2} + \ldots + 1}{q^{r-1} + 1} = 1 + \frac{q^{r-2} + \ldots + q}{q^{r-1} + 1}. \end{aligned}$$
    For \(r = 2\), \(\bar{\lambda } = 1\) (and we get the equality case \(\lambda = 1\)), and for \(r \ge 3\), \(1< \bar{\lambda } < 2\).
  • For \(\epsilon = -\frac{1}{2}\) and \(r = 2\) we have \(\lambda _{\max } = 1\) and \(\bar{\lambda } = \frac{q^2 - 1}{(q-1)(\sqrt{q} + 1)} = \frac{q+1}{\sqrt{q} + 1} > 1\).
  • For \(\epsilon = -\frac{1}{2}\) and \(r \ge 3\),
    $$\begin{aligned} & \bar{\lambda } = \frac{q^r - 1}{(q-1)(q^{r-3/2} + 1)} \\ & \quad = \frac{\sqrt{q}^{2r} + \sqrt{q}^{2r-2} + \ldots + 1}{\sqrt{q}^{2r-3} + 1} = \sqrt{q} + \frac{(\sqrt{q}^{2r - 4} + \ldots + 1) - \sqrt{q}}{\sqrt{q}^{2r - 3} + 1} \end{aligned}$$
    is strictly between \(\sqrt{q}\) and \(\sqrt{q} + 1\). Hence \(\lambda \le \sqrt{q}\). Furthermore, note that \(\lambda _{\max } = (q^{1/2} + 1) \cdots (q^{r-5/2} + 1) > \sqrt{q} = \bar{\lambda }\).
  • For \(\epsilon = -1\) and \(r = 2\) we have \(\bar{\lambda } = \frac{q^r-1}{q-1} > 1\) and \(\lambda _{\max } = 1\).
  • For \(\epsilon = -1\) and \(r \ge 3\),
    $$\begin{aligned} \bar{\lambda } = \frac{q^{r-1} + q^{r-2} + \ldots + 1}{q^{r-2} + 1} = q + \frac{(q^{r-2} + \ldots + q^2) + 1}{q^{r-2} + 1}. \end{aligned}$$
    For \(r = 3\), this shows \(q< \bar{\lambda } < q+1\). For \(r \ge 4\), we compute further
    $$\begin{aligned} \bar{\lambda } = q + 1 + \frac{q^{r-3} + \ldots + q^2}{q^{r-2} + 1}. \end{aligned}$$
    For \(r = 4\), we get the equality case \(\bar{\lambda } = q+1\), and for \(r \ge 5\) we have \(q+1< \bar{\lambda } < q+2\). Furthermore, we note that \(\lambda _{\max } = 2\) for \(r = 3\) and \(\lambda _{\max } = 2(q + 1) \cdots (q^{r-2} + 1) > q+1\) for \(r \ge 4\). \(\square \)
Remark 16
The equality cases in Lemma 15 show that symmetric designs in polar spaces can only exist in a few sporadic cases.
  • The respective complete designs are the unique designs with parameters 2-\((2,2,1)_{\Omega (q)}\) and 2-\((2,2,1)_{W(q)}\).
  • The respective Latin–Greek design is the unique symmetric design with the parameters 3-\((4,4,1)_{\Omega ^+(q)}\), see Lemma 14.
  • Its reduced design is symmetric with the parameters 2-\((4,4,q+1)_{\Omega ^+(q)}\). We would like to point out that this design is not necessarily unique, as we found symmetric 2-\((4,4,3)_{\Omega ^+(2)}\) designs whose block intersection vectors differ from the one of the Latin–Greek halving.
Furthermore, Lemma 15 lists candidates for the parameters of designs in polar spaces for which inequality (1) holds. We see that such designs can only exist for types \(\Omega ^+(q)\) and \(U^+(q)\). Known examples are the complete 2-\((2,2,1)_{\Omega ^+(q)}\) and the Latin–Greek 2-\((3,3,1)_{\Omega ^+(q)}\) designs.
The common textbook proof of Fisher’s inequality for classical and subspace designs uses Bose’s elegant argument based on the rank of the point-block incidence matrix N [4]. We follow this approach for our case of designs in polar spaces.
For a combinatorial 2-\((v,k,\lambda )\) design (or a subspace design) it is easy to see that
$$\begin{aligned} NN^\top = (\lambda _1-\lambda )I + \lambda J, \end{aligned}$$
where J is the all-one matrix. Now, let D be a 2-\((r,k,\lambda )_Q\) design and let N be the point-block incidence matrix of D. Then for two points https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq523_HTML.gif we have
$$\begin{aligned} (NN^\top )_{xy} = {\left\{ \begin{array}{ll} \lambda _1 & \text {for } x = y; \\ \lambda & \text {if } x\text { and }y\text { collinear;} \\ 0 & \text {otherwise.} \end{array}\right. } \end{aligned}$$
It follows that
$$\begin{aligned} NN^\top = \lambda _1 I + \lambda \cdot A, \end{aligned}$$
where A is the adjacency matrix of the collinearity graph of the polar space.
The equation for \(NN^\top =\lambda _1 I + \lambda \cdot A\) for designs in polar spaces is a straightforward generalization of the equation \(NN^\top = (\lambda _1 -\lambda )I + \lambda J\) for subspace designs, since \(J-I\) can be regarded as the adjacency matrix of the collinearity graph, i.e. the complete graph, in PG(Vq).
Lemma 17
Let D be a t-\((r,k,\lambda )_Q\) design of strength \(t \ge 2\). Then the rank of the point-block incidence matrix N of D is
https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_Equ47_HTML.png
Proof
The eigenvalues \(\mu _i\) of \(NN^\top \) can be derived from the eigenvalues \(\theta _i\) of A as
$$\begin{aligned} \mu _i = \lambda _1+\lambda \theta _i \end{aligned}$$
with multiplicities \(m_i\), \(i=0,1,2\), see also [1]. Since \(\lambda , \lambda _1>0\) also \(\mu _0, \mu _1>0\) and a simple calculation shows that \(\mu _2=0\) if and only if \(k=r\), independent from \(\lambda \). In this case, the rank of the matrices \(NN^\top \) and hence N over the real numbers is equal to \(1+m_1\). In all other cases, the matrix \(NN^\top \) and hence N has full rank. \(\square \)
Theorem 18
(Fisher’s inequality for designs in polar spaces) Let D be a t-\((r,k,\lambda )_{Q}\) design of strength \(t\ge 2\). If \(k<r\) then https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq546_HTML.gif , i.e. the number of blocks is greater or equal than the number of points in the polar space. If \(k=r\) then \(\lambda _0 \ge 1 + m_1\).
Proof
Let N be the point-block incidence matrix of D. Since N is a https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq549_HTML.gif matrix, \({{\,\textrm{rk}\,}}N \le \lambda _0\). If \(k < r\), by Lemma 17 the matrix N has full rank, i.e.  https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq552_HTML.gif . If \(r=k\), \({{\,\textrm{rk}\,}}N = 1+m_1\). \(\square \)
For \(k < r\), Fisher’s inequality follows already from Lemma 15. However, for \(k = r\), Fisher’s inequality (18) sharpens Lemma 15, which leads to the following classification result.
Theorem 19
Let D be a t-\((r,r,1)_{\Omega ^+(q)}\) Steiner system of strength \(t \ge 2\). Then D is either a complete or a Latin–Greek design.
Proof
If \(t = r\), D is a complete design, and if \(t = r-1\), D is a Latin–Greek design by Lemma 14.
For \(t \le r - 2\), by Theorem 6 the \((t-2)\)-fold derived design of D is a Steiner system with the parameters 2-\((r',r',1)_{\Omega ^+(q)}\) where \(r' = r-t+2 \ge 4\), such that we may assume \(t = 2\) and \(r \ge 4\). Comparing
$$\begin{aligned} m_1 = \frac{q(q^{r-2}+1)(q^r - 1)}{q^2 - 1} \quad \text {and}\quad \lambda _0 = (q^{r-2} + 1)(q^{r-1} + 1). \end{aligned}$$
we get
$$\begin{aligned} \frac{m_1}{\lambda _0} = \frac{q(q^r - 1)}{q^{r-1} + 1)(q^2 - 1)} = \frac{q^{r+1} - q}{q^{r+1} - q^{r-1} + q^2 - 1} > 1, \end{aligned}$$
where in the last step we used \(r \ge 4\). Hence \(m_1 > \lambda _0\), which is a contradiction to Fisher’s inequality 18. \(\square \)
An important part of our proof of Theorem 19 is to show the non-existence of t-\((r,r,1)_{\Omega ^+(q)}\) designs with \(t \ge 2\) and \(r \ge 4\). This result follows also from non-existence stated in Theorem 20 below, which has been proven by Schmidt and Weiß using the machinery of association schemes. Our argument based on Fisher’s inequality provides an elementary proof of that special case.
Theorem 20
(Schmidt and Weiß [29]) Suppose there exists a Steiner system t-\((r, r, 1)_Q\) with \(t\in \{2,\ldots ,r-1\}\). Then one of the following holds
(a)
\(t=2\) and r odd and Q is either U(q) or \(\Omega ^{-}(q)\),
 
(b)
\(t = r-1\) and \(q\ne 2\) and Q is either U(q) or \(\Omega ^{-}(q)\),
 
(c)
\(t=r-1\) and \(Q = \Omega ^+(q)\).
 
For other non-existence results see [13]. As t-\((r,r,\lambda )_Q\) designs are t-designs in association schemes (compare [32, 13, Prop 2.2]), Delsarte’s general theory can be applied and gives the following stronger version of Fisher’s inequality.
Theorem 21
(Delsarte [16, Thm 5.19]) For every t-\((r,r,\lambda )_Q\) design D we have
$$\begin{aligned} \# D \ge \sum _{i=0}^{\lfloor t/2\rfloor } \mu _i, \end{aligned}$$
where \(\mu _i\) is the ith multiplicity of the corresponding association scheme.
For polar spaces, the multiplicities \(\mu _i\) have been determined by Stanton [31, Cor. 5.5]. For \(t=2,3\), Delsarte’s theorem gives \(\# D \ge 1 + \mu _1\) and \(\mu _1\) equals the multiplicity \(m_1\) of one of the eigenvalues of the collinearity graph in Theorem 18.
K.-U. Schmidt was confident that Delsarte’s inequality for designs in polar spaces could be extended to \(k < r\), too. Moreover, Delsarte’s inequality is a special case of the linear programming bound for designs in association schemes, and he conjectured that the linear programming bound allows to extend the non-existence results in Theorem 20 from \(\lambda =1\) to something like \(\lambda \le q^{\left( {\begin{array}{c}t\\ 2\end{array}}\right) }\). This conjecture is supported by our computational results in Sect. 7.1. Unfortunately, after his tragic, untimely death his latest results in this regard seem to be lost.

7 Computational construction of designs

For the construction of designs we use the well-known approach to choose a group G and search for G-invariant designs. Thus, instead of searching for individual k-subspaces the design has to be composed of G-orbits on the k-subspaces. This approach applied to combinatorial designs is commonly attributed to Kramer and Mesner [25] and has been used there with great success.
For a subgroup G of the collineation group of a polar space \(\mathcal{Q}\), the set of blocks of a G-invariant t-\((r,k,\lambda )_Q\) design (\(G\le {{\,\textrm{Aut}\,}}(\mathcal{Q})\)) is the disjoint union of orbits of G on the set https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq597_HTML.gif of k-dimensional subspaces of \(\mathcal{Q}\). To obtain an appropriate selection of orbits of G on https://static-content.springer.com/image/art%3A10.1007%2Fs10623-024-01491-x/MediaObjects/10623_2024_1491_IEq599_HTML.gif we consider the incidence matrix \(A_{t,k}^G\) whose rows are indexed by the G-orbits on the set of t-subspaces of \(\mathcal{Q}\) and whose columns are indexed by the orbits on k-subspaces. The entry \(a_{T,K}^G\) of \(A_{t,k}^G\) corresponding to the orbits \(T^G\) and \(K^G\) is defined by
$$\begin{aligned} a_{T,K}^G:=\#\{K'\in K^G\mid T\le K'\}. \end{aligned}$$
Now the theorem by Kramer and Mesner, originally formulated for combinatorial designs, can be applied to designs in polar spaces as well:
Theorem 22
(Kramer and Mesner [25]) Let \(\mathcal{Q}\) be a polar space and G be a subgroup of its collineation group. There exists a G-invariant \(t\text {-}(r,k,\lambda )_Q\) design if and only if there is a 0/1-vector x satisfying
$$\begin{aligned} A_{t,k}^G \cdot x = \left( \begin{array}{c} \lambda \\ \vdots \\ \lambda \end{array}\right) . \end{aligned}$$
(2)
The question now is which are the promising groups that can be prescribed in Theorem 22? For combinatorial designs, cyclic groups have turned out to be promising candidates for prescribed groups in Theorem 22. For subspace designs, the Singer cycle and its normalizer, and subgroups thereof are good candidates [8]. For designs in polar spaces, it is not yet clear if there are exceptionally promising groups to be used for Theorem 22.
With these previous experiences in mind, we constructed all cyclic subgroups of the automorphism group of each polar space together with its normalizer using MAGMA [5]. The cyclic groups and random subgroups of their normalizers were prescribed as automorphism groups in Theorem 22.
The systems of Diophantine linear equations (2) were attempted to be solved by the third author’s software solvediophant [33, 34]. The parameters for which designs have been found are listed in Sect. 7.1. In small cases, exhaustive non-existence results could be achieved. So far, no designs could be found in the Hermitian polar spaces. However, this seems rather to be due to the huge size of the search space than due to the scarcity of designs.

7.1 Results

Table 3 lists the parameters of the constructed designs. An asterisk indicates that a design with these parameters can be constructed from a Latin–Greek halving, after possibly applying one or several repeated transitions to the derived and/or reduced design. An italic number indicates that the parameters of that design have not been found by the computer search but can be constructed via Theorem 9 from another known design (including the newly constructed designs). For all listed parameters the realizability result is new, except the ones marked by an asterisk, the designs in \(\Omega ^-(8, 2)\) and \(\Omega (7, 3)\) found by De Bruyn and Vanhove [15], and their descendants in \(\Omega (9,2)\), \(\Omega ^+(10,2)\) and \(\Omega ^+(8,3)\) in terms of Theorem 9. We have published the constructed designs in the open-source research data repository [23].
Table 3
List of known realizable 2-\((r,k,\lambda )_Q\) designs for \(q=2,3\)
q   
r    
k    
\(\Delta _\lambda \)
\(\lambda _{\max }\)
\(\not \exists \lambda \)
\(\exists \lambda \)
\( \Omega ^-(2r+2, q)\)
2    
3    
3   
1    
5
1
2    (De Bruyn, Vanhove)
 
4
\(\textbf{3}\)
3
27
 
6, 9, 12
 
4
4
1
45
1
9, 11, 12, 14, 15, 16, 18, 19, 21
 
5
5
1
765
1
240, 245, 275, 280, 315, 360
3
3
3
1
10
1
2, 5
\(\Omega (2r+1,q)\)
2
3
3
1
3
1
 
4
\(\textbf{3}\)
1
15
 
6, 7
 
4
4
1
15
1
5, 6, 7
 
5
5
1
135
1
21, 24, 27, 29, 30, 32, 33, 35, 36, 39, 40, 42, 45, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61, 62, 63, 64, 65, 66
 
6
6
1
2295
1
720, 735, 825, 840, 945, 1080
3
3
3
1
4
1
2    (De Bruyn, Vanhove)
 
4
4
1
40
1
8, 20
\(\Omega ^+(2r,q)\)
2
3
3
1
2
\(1^*\)
 
4
\(\textbf{3}\)
3
9
 
3
 
4
4
1
6
1,2
\(3^*\)
 
5
5
1
30
1
6, 8, 10, 12, 14, \(15^*\)
 
6
6
1
270
1
32, 40, 42, 45, 48, 50, 51, 52, 53, 54, 56, 57, 58, 60, 62, 63, 64, 65, 66, 67, 69, 70, 72, 74, 75, 77, 78, 79, 80, 81, 84, 85, 86, 87, 88, 90, 91, 92, 93, 94, 95, 96, 98, 99, 100, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 132, 133, 134, \(135^*\)
 
7
7
1
4590
1
1440, 1470, 1650, 1680, 1890, 2160
3
3
3
1
2
\(1^*\)
 
4
4
1
8
1
\(4^*\)
 
5
5
1
80
1
8, 16, 32, \(40^*\)
\({{\,\mathrm{{\textbf {Sp}}}\,}}\mathbf {(2r, q)}\)
2
     
See \(\Omega (2r+1,2)\)
3
3
3
1
4
1, 2
–    (2 by De Bruyn, Vanhove)
 
4
4
1
40
1
20

8 Open questions and future work

We would like to conclude this article by pointing out some open questions and suggestions for future work.
In the theory of combinatorial and subspace designs, the numbers \(\lambda _{i,j}\) of a t-design D play an important role. They can be defined in two variants (which coincide in the case of combinatorial designs). Let ij be non-negative integers with \(i+j \le t\). For subspaces IJ with \(\dim (I) = i\) and \(\dim (J) = j\), the number of blocks \(B \in D\) containing I and having trivial intersection with J only depends on i and j and yields the first variant of \(\lambda _{i,j}\). Similarly, for subspaces I, J with \(\dim (I) = i\) and \({{\,\textrm{codim}\,}}(J) = j\), the number of blocks \(B \in D\) with \(I \subseteq B \subseteq J\) only depends on i and j, which gives the second variant. It might be interesting to investigate this concept for designs in polar spaces.
For combinatorial and subspace designs, a large set is a partition of the set of all k-subspaces of the ambient space into N t-designs of the same size. Large sets generalize the notion of a halving (and thus of hemisystems in polar spaces), which are given by the case \(N = 2\). An important application of large sets of combinatorial and subspace designs is the construction of infinite series of designs, see [6, 19]. Maybe this strategy can also be applied to large sets of designs in polar spaces.
One could further investigate symmetric 2-\((4,4,q+1)_{\Omega ^+(q)}\) designs, which are the only parameters where the symmetric designs in polar spaces have not been fully classified in Sect. 6. Moreover, we would like to ask if inequality (1) allows any designs in \(U^+(q)\), and if it allows any non-complete and non-Latin–Greek designs in \(\Omega ^+(q)\).
For q odd, it is an open question whether a spread in \(\Omega ^-(2r+2, q)\), \(r\ge 3\) exists [17, Sec. 7.5]. In our notation, these are the designs with the parameters 1-\((r, k, 1)_{\Omega ^-(q)}\). By computer search, we could show that if in \(\Omega ^-(8, 3)\) such a spread exists, the only prime powers that may divide the order of an automorphism are 2 or 3.
An m-dimensional Kerdock set over \(\mathbb {F}_q\) with even m is a set of \(q^{m-1}\) skew-symmetric \((m\times m)\)-matrices such that the difference of any two of them is non-singular. Its existence is equivalent to the existence of a 1-\((m,m,1)_{\Omega ^+(q)}\) spread. It has been shown that for even q, the Kerdock sets do exist for all m. For odd q, the existence for \(m \ge 6\) is open. We could show by a computer search that if a 1-\((6,6,1)_{\Omega ^+(3)}\) exists, its automorphism group is of order 1, 2, 3, 4, 5, 6 or 8.

Acknowledgements

The authors want to thank the anonymous referees for helpful comments. Further, the authors gratefully acknowledge the Leibniz Supercomputing Centre for funding this project by providing computing time on its Linux-Cluster. The collaboration on this topic started with a discussion at the Oberwolfach Workshop 1912: Contemporary Coding Theory in March 2019. The work on this article was almost finished, when our coauthor and friend, Kai, tragically passed away in August 2023. We greatly miss him, not least for his sharp mind and charming personality.

Declarations

Conflict of interest

The authors declare no competing interests.
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Footnotes
1
The residual of a classical t-\((v,k,\lambda )\) design on a v-element set V has the parameters \((t-1)\)-\((v-1,k,\lambda ')\) with a certain value \(\lambda '\). In the polar space setting, the role of v is taken over by the rank r. Hence, we would expect that the residual of a t-\((r,k,\lambda )_Q\) polar space design has the parameters \((t-1)\)-\((r-1,k,\lambda '')_Q\).
 
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Metadata
Title
Designs in finite classical polar spaces
Authors
Michael Kiermaier
Kai-Uwe Schmidt
Alfred Wassermann
Publication date
17-09-2024
Publisher
Springer US
Published in
Designs, Codes and Cryptography / Issue 4/2025
Print ISSN: 0925-1022
Electronic ISSN: 1573-7586
DOI
https://doi.org/10.1007/s10623-024-01491-x

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