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On a conjecture of Kelly on (1, 3)-representation of Sylvester–Gallai designs

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Abstract

We give an exact criterion of a conjecture of L. M. Kelly to hold true which is stated as follows. If there is a finite family \(\Sigma \) of mutually skew lines in \(\mathbb {R}^d,d\ge 4\) such that the 3-flat spanned by every two lines in \(\Sigma \), contains at least one more line of \(\Sigma \), then we have that all of the lines of \( \Sigma \) are contained in a single 3-flat if and only if the arrangement of 3-flats is central. Finally, this article leads to an analogous question for higher dimensional skew affine spaces, where we prove that, for (2, 5)-representations of Sylvester–Gallai designs in \(\mathbb {R}^6\), the analogous statement does not hold.

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Acknowledgements

This work was done while the first author was a Post-Doctoral Fellow and the second author was a Research Scholar at Harish-Chandra Research Institute, Prayagraj, Allahabad, India.

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Correspondence to C P Anil Kumar.

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Communicated by Arvind Ayyer.

Appendix

Appendix

1.1 Appendix A: Another proof of the Main Theorem 1.7

In this section, we first give a proof of the main theorem when \(d=4\) and later prove it, in general. Now we prove a lemma.

Lemma A.1

Let \(\Sigma \) be a finite family of mutually skew lines in \( \mathbb {R}^d\) such that the 3-flat spanned by every two lines in \(\Sigma \), contains at least one more line of \(\Sigma \). Then either all the lines are contained in a single 3-flat or every line is contained in at least three different 3-flats.

Proof

Let L be a line which is contained in exactly two 3-flats \(H_1\) and \(H_2\). Then we have a partition of the set

$$\begin{aligned} \Sigma \backslash \{L\}=\Sigma _1\cup \Sigma _2 \end{aligned}$$

where the line L and all the lines in \(\Sigma _1\) are contained in the 3-flat \(H_1\) and the same line L and all the lines in \(\Sigma _2\) are contained in another 3-flat \(H_2\). Now we have \(\mid \Sigma _i\mid \ge 2,i=1,2\). Let \(L_i\in \Sigma _i,i=1,2\). Then the 3-flat \(H\notin \{H_1,H_2\}\) which is spanned by \(L_1\) and \(L_2\) must contain a third line from \(\Sigma \). So either H contains two lines from the set \(\Sigma _1\cup \{L\}\) or two lines from the set \(\Sigma _2\cup \{L\}\). This implies either \(H=H_1\) or \(H=H_2\) which is a contradiction. Hence the lemma follows. \(\square \)

We state a very important theorem which is required to prove main Theorem 1.7 for \(d=4\).

Lemma A.2

Suppose there is a finite family \(\Sigma =\{L_1,L_2,\ldots ,L_n\}\) of mutually skew lines in \(\mathbb {R}^4\) such that the 3-flat spanned by every two lines in \(\Sigma \), contains at least one more line of \(\Sigma \). Let \(\{H_1,H_2,\ldots ,H_m\}\) be the distinct 3-flats and \(m\ge 2\). If the hyperplane arrangement of the 3-flats is central, that is, \(O\in \underset{i=1}{\overset{m}{\cap }} H_i\), then there exists a line \(L\subset \mathbb {R}^4\) different from \(L_i\) and passing through O such that the line \(L_i\) and L are coplanar for each \(1\le i\le n\).

We first prove the main theorem for \(d=4\), using Theorem A.2 and then prove Theorem A.2.

Proof of the Main Theorem for \(d=4\)

Suppose there are at least two distinct 3-flats. Using Theorem A.2, let O be the origin and

$$\begin{aligned} L=\{t(0,0,0,1)\mid t\in \mathbb {R}\}. \end{aligned}$$

Let \(P_i\) be the plane containing origin spanned by the lines L and \(L_i\) for \(1\le i\le n\). We have by \(P_i\ne P_j,1\le i\ne j\le n\) because the lines \(L_i,1\le i\le n\) are mutually skew. Now we project \(\mathbb {R}^4\) perpendicular to the line L onto \(\mathbb {R}^3\). Let

$$\begin{aligned} \pi :\mathbb {R}^4\longrightarrow \mathbb {R}^3 , \end{aligned}$$

\(\pi (x,y,z,t)=(x,y,z)\) be the projection. Then we get a finite configuration of n points

$$\begin{aligned} \{\pi (P_i)\mid 1\le i\le n\}\subset \mathbb {P}^2(\mathbb {R}). \end{aligned}$$

The points \(\{\pi (P_i)\mid L_i\in \Lambda \}\) are collinear in \(\mathbb {P}^2(\mathbb {R})\) where \(\Lambda \) is the set of lines in a 3-flat spanned by a pair of mutually skew lines. Hence the configuration forms an SGC in \(\mathbb {P}^2(\mathbb {R})\). Now by using the basic Sylvester–Gallai theorem we conclude that all points \(\pi (P_i),1\le i\le n\) are collinear in \(\mathbb {P}^2(\mathbb {R})\). Hence all the lines \(L_1,L_2,\ldots ,L_n\) lie in one three dimensional space containing origin which is a contradiction to the existence of at least two distinct 3-flats. This completes the proof of the main theorem. \(\square \)

We prove Theorem A.2.

Proof

Let \(L_1,L_2,\ldots ,L_n\) be n mutually skew lines in \(\mathbb {R}^4\) for some \(n\ge 7\). In fact we can even assume that \(n\ge 8\) using Corollary 2.4 because there is at least two distinct 3-flats, all of them containing origin. So using Lemma A.1, we have that each line \(L_i,1\le i\le n\) is in at least three different 3-flats. Let us assume that the 3-flats of all these lines are \(H_1,H_2,\ldots ,H_m\) which are given as follows, without loss of generality, by gathering as much definite set theoretic knowledge as possible about the configuration:

$$\begin{aligned} \begin{aligned} H_1&\overset{\supset }{\longleftrightarrow } \{L_1,L_2,L_3,\ldots ,L_{a_1}\}=\Sigma _1 \\ H_2&\overset{\supset }{\longleftrightarrow } \{L_1,L_{a_1+1},L_{a_1+2},\ldots ,L_{a_2}\}=\Sigma _2\\ H_3&\overset{\supset }{\longleftrightarrow } \{L_1,L_{a_2+1},L_{a_2+2},\ldots ,L_{a_3}\}=\Sigma _3\\ \vdots&\longleftrightarrow \vdots \\ H_{k=b_1}&\overset{\supset }{\longleftrightarrow } \{L_1,L_{a_{k-1}+1},L_{a_{k-1}+2},\ldots ,L_{a_k=n}\}=\Sigma _{b_1}\\ H_{b_1+1}&\overset{\supset }{\longleftrightarrow } \{L_2,L_{a_1+1},\ldots \}=\Sigma _{b_1+1}\\ H_{b_1+2}&\overset{\supset }{\longleftrightarrow } \{L_2,L_{a_1+2},\ldots \}=\Sigma _{b_1+2}\\ \vdots&\longleftrightarrow \vdots \\ H_{b_2}&\overset{\supset }{\longleftrightarrow } \{L_2,\ldots \}=\Sigma _{b_2}\\ H_{b_2+1}&\overset{\supset }{\longleftrightarrow } \{L_3,L_{a_1+1},\ldots \}=\Sigma _{b_2+1}\\ H_{b_2+2}&\overset{\supset }{\longleftrightarrow } \{L_3,L_{a_1+2},\ldots \}=\Sigma _{b_2+2}\\ \vdots&\longleftrightarrow \vdots \\ H_{b_3}&\overset{\supset }{\longleftrightarrow } \{L_3,\ldots \}=\Sigma _{b_3}\\ \vdots&\longleftrightarrow \vdots \\ H_{b_{a_1-1}}&\overset{\supset }{\longleftrightarrow } \{L_{a_1-1},\ldots \}=\Sigma _{b_{a_1-1}}\\ H_{b_{a_1-1}+1}&\overset{\supset }{\longleftrightarrow } \{L_{a_1},L_{a_1+1},\ldots \}=\Sigma _{b_{a_1-1}+1}\\ H_{b_{a_1-1}+2}&\overset{\supset }{\longleftrightarrow } \{L_{a_1},L_{a_1+2},\ldots \}=\Sigma _{b_{a_1-1}+2} \end{aligned} \end{aligned}$$
$$\begin{aligned} \begin{aligned} \vdots&\longleftrightarrow \vdots \\ H_{b_{a_1}}&\overset{\supset }{\longleftrightarrow } \{L_{a_1},\ldots \}=\Sigma _{b_{a_1}}\\ \vdots&\longleftrightarrow \vdots \\ H_m&\overset{\supset }{\longleftrightarrow } \{L_{*},\ldots \}=\Sigma _{m}. \end{aligned} \end{aligned}$$

The notation for example \(H_1 \overset{\supset }{\longleftrightarrow } \{L_1,L_2,L_3,\ldots ,L_{a_1}\}=\Sigma _1 \) means that \(H_1\) is the 3-flat spanned by any two lines in the set \(\Sigma _1\) and the set \(\Sigma _1\) gives rise to all pairs of lines, each of which, span the 3-flat \(H_1\). So, in particular, \(H_1\) contains the lines \(L_i, 1\le i\le a_1\). Here we observe the following:

$$\begin{aligned} \begin{aligned} L_1&\overset{\subset }{\longleftrightarrow } \{H_1,H_2,\ldots ,H_{b_1}\}=\Delta _1\\ L_2&\overset{\subset }{\longleftrightarrow } \{H_1,H_{b_1+1},\ldots ,H_{b_2}\}=\Delta _2\\ L_3&\overset{\subset }{\longleftrightarrow } \{H_1,H_{b_2+1},\ldots ,H_{b_3}\}=\Delta _3\\ \vdots&\longleftrightarrow \vdots \\ L_{a_1}&\overset{\subset }{\longleftrightarrow } \{H_1,H_{b_{a_1-1}+1},\ldots ,H_{b_{a_1}}\}=\Delta _{a_1}\\ L_{a_1+1}&\overset{\subset }{\longleftrightarrow } \{H_2,H_{b_1+1},H_{b_2+1},\ldots ,H_{b_{a_1-1}+1},\ldots \}=\Delta _{a_1+1}\\ L_{a_1+2}&\overset{\subset }{\longleftrightarrow } \{H_2,H_{b_1+2},H_{b_2+2},\ldots ,H_{b_{a_1-1}+2},\ldots \}=\Delta _{a_1+2}\\ \vdots&\longleftrightarrow \vdots \\ L_n&\overset{\subset }{\longleftrightarrow } \{H_{b_1},\ldots \}=\Delta _n. \end{aligned} \end{aligned}$$

The notation \(L_1 \overset{\subset }{\longleftrightarrow } \{H_1,H_2,\ldots ,H_{b_1}\}=\Delta _1\) means that \(L_1\) is contained in any 3-flat \(H\in \Delta _1\) and the set \(\Delta _1\) has all the 3-flats which contain \(L_1\). Here we have \(b_1=k,a_k=n\) to avoid notation of repeated subscripts. We have

$$\begin{aligned} \mid \Sigma _i\cap \Sigma _j\mid \le 1,1\le i\ne j\le m \end{aligned}$$

and each \(H_i\) is the 3-flat spanned by any two lines in \(\Sigma _i,1\le i\le m\). We have that all the \(H_i,1\le i\le m\) are distinct and hence

$$\begin{aligned} \dim _\mathbb {R}{(H_i\cap H_j)}=2,1\le i\ne j\le m. \end{aligned}$$

We also have that

$$\begin{aligned} 0\in \underset{i=1}{\overset{m}{\cap }}H_i. \end{aligned}$$

We also assume that \(L_1,L_2,\ldots ,L_{n-1}\) does not pass through origin and \(L_n\) may or may not pass through origin. Hence we have \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _i}{\cap } H_j\right) }=2,1\le i\le n-1\) and \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _n}{\cap } H_j\right) }\le 2\). \(\square \)

Proof

Let \(v_j\) be a normal vector of the hyperplane \(H_j,1\le j\le m\). The set \(\{v_1,v_{b_1},v_{b_2}\}\) is linearly independent and \(v_j,1\le j\le m\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\).

Proof

For \(1\le i\le n-1\), the set \(\{v_j\mid H_j\in \Delta _i\}\subset \mathbb {R}^4\) spans a two dimensional space. Now the set \(\{v_1,v_{b_1},v_{b_2}\}\) is linearly independent. Suppose not, then \(H_1\cap H_{b_1}\cap H_{b_2}=H_1\cap H_{b_1}=H_1\cap H_{b_2}\). This implies the lines \(L_1,L_2\) are coplanar which is a contradiction. Now the vector \(v_{b_3}\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\). Suppose not then by applying a suitable linear transformation in \(GL_4(\mathbb {R})\) we can assume that \(v_1=(1,0,0,0),v_{b_1}=(0,1,0,0),v_{b_2}=(0,0,1,0),v_{b_3}=(0,0,0,1)\). Since \(n\ge 4\) we have \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _i}{\cap } H_j\right) }=2,i=1,2,3\) and hence \(v_2=(a,b,0,0),v_{b_1+1}=(c,0,d,0),v_{b_2+1}=(e,0,0,f)\) with \(a,b,c,d,e,f\in \mathbb {R}\backslash \{0\}\). Now the rank of the matrix

$$\begin{aligned} \begin{pmatrix} {a}&{}\quad {b}&{}\quad {0}&{}\quad {0}\\ {c}&{}\quad {0}&{}\quad {d}&{}\quad {0}\\ {e}&{}\quad 0 &{}\quad 0 &{}\quad f \end{pmatrix} \end{aligned}$$

is three. Hence the space \(H_2\cap H_{b_1+1}\cap H_{b_2+1}\) is exactly one dimensional and contains the line \(L_{a_1+1}\). But \(n>a_1+1\) and the line \(L_{a_1+1}\) does not pass through origin which is a contradiction. So \(v_{b_3}\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\). Similarly by applying the same argument, we conclude that \(v_{b_j}\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\) for \(3\le j\le a_1\) since \(H_2\cap H_{b_1+1}\cap H_{b_{j-1}+1}\) contains the line \(L_{a_1+1}\). Now \(v_i\) is linearly dependent on \(\{v_1,v_{b_j}\}\) for \(b_{j-1}+1\le i\le b_j-1,3\le j\le a_1\) and hence we obtain that \(v_i\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\) for \(1\le i\le b_{a_1}\). Now we observe the following. For any \(2\le i\le n\) there exists a unique \(j\in \{1,2,\ldots ,b_1\}\) such that \(L_i\subset H_j\). Similarly for \(1\le i\le n,i\ne 2\) there exists a unique \(j\in \{1,b_1+1,b_1+2,\ldots , b_2\}\) such that \(L_i\subset H_j\). Now we observe that the set \(\Delta _n\subset \underset{i=1}{\overset{n-1}{\cup }} \Delta _i\). So by applying the dual argument we get that, for \(a_1+1\le i\le n-1\), the set \(\Delta _i\) contains two hyperplanes one from the set \(\Delta _1\) and one from the set \(\Delta _2\) different from \(H_1\). The normal vector of any hyperplane in \(\Delta _i\) is linearly dependent on the normal vectors of those two hyperplanes in \(\Delta _i\) coming from \(\Delta _1\) and \(\Delta _2\). So for \(b_{a_1}+1\le i\le m, v_i\) is linearly dependent on the set \(\{v_1,v_{b_1},v_{b_2}\}\). This can be concluded irrespective of the a priori fact that \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _n}{\cap } H_j\right) }=0\) or 1 or 2. This completes the proof of the claim. \(\square \)

Without loss of generality by applying a linear transformation in \(GL_4(\mathbb {R})\), let \(v_1=(1,0,0,0),v_{b_1}=(0,1,0,0),v_{b_2}=(0,0,1,0)\). Then we get using the claim that, the line

$$\begin{aligned} \{t(0,0,0,1)\mid t\in \mathbb {R}\}=L\subset \underset{i=1}{\overset{m}{\cap }} H_i. \end{aligned}$$

Now for \(1\le i\le n\), the line \(L_i\) and the line L are contained in a two dimensional plane \(H_r\cap H_s\) for any \(r\ne s\) such that \(H_r, H_s\in \Delta _i\). So in that plane the line \(L_i\) and L are coplanar. Now \(L\ne L_i,1\le i\le n-1\) because L passes through origin and \(L_i\) does not. We also have that \(L\ne L_n\). This completes the proof of Theorem A.2.\(\square \)

Now we state the analogous statement of Theorem A.2 in higher dimensions.

Lemma A.3

Let \(d\ge 4\) be an integer. Suppose there is a finite family \(\Sigma =\{L_1,L_2,\ldots ,\) \(L_n\}\) of mutually skew lines in \(\mathbb {R}^d\) such that the 3-flat spanned by every two lines in \(\Sigma \), contains at least one more line of \(\Sigma \). Let \(\{H_1,H_2,\ldots ,H_m\}\) be the distinct 3-flats and \(m\ge 2\). If the arrangement of 3-flats is central, that is, \(O\in \underset{i=1}{\overset{m}{\cap }} H_i\), then there exists a line \(L\subset \mathbb {R}^d\) different from \(L_i\) and passing through O such that the line \(L_i\) and L are coplanar for each \(1\le i\le n\).

We first prove the main theorem using Theorem A.3.

Proof of the Main Theorem

This proof is similar to the proof of the main theorem for the value \(d=4\) given in the previous section. \(\square \)

We prove Theorem A.3.

Proof

Just similar to the proof of Theorem A.2, here also we have a similar set theoretic knowledge of the lines and their 3-flats. We assume as usual that O is the origin and \(L_i,1\le i\le n-1\) do not pass through origin and \(L_n\) may or may not pass through origin. Here we have that all the 3-flats \(H_i,1\le i\le m\) are distinct and \(\dim _\mathbb {R}{(H_i\cap H_j)} = 2\) for all \(i\ne j\) such that \(H_i,H_j\in \Delta _p\) for any \(1\le p\le n-1\) and in general we have \(\dim _{\mathbb {R}}({H_i\cap H_j}) \le 2\) unlike the case when \(d=4\). It follows that \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _i}{\cap } H_j\right) } = 2,1\le i\le n-1\) and \(\dim _\mathbb {R}{\left( \underset{j\in \Delta _n}{\cap } H_j\right) } \le 2\). Now we prove the following claim. \(\square \)

Proof of the Main Theorem

Let \(V_i=H_i^{\perp }\subset \mathbb {R}^d,1\le i\le m\). Then

  1. (1)

    \(\dim _\mathbb {R}{(V_1+V_{b_1}+V_{b_2})}=l-1\).

  2. (2)

    \(V_i \subsetneq V_1+V_{b_1}+V_{b_2}\) for \(1\le i\le m\).

Proof of the Main Theorem

We prove (1) first. The space \((V_1+V_{b_1}+V_{b_2})=(H_1\cap H_{b_1}\cap H_{b_2})^{\perp }\). We have

$$\begin{aligned} \begin{aligned} \dim _\mathbb {R}{(H_1\cap H_{b_1}\cap H_{b_2})}&=\dim _\mathbb {R}{(H_1\cap H_{b_1})}+\dim _\mathbb {R}{(H_1\cap H_{b_2})}\\&-\mathrm {dim}_{\mathbb {R}}((H_1\cap H_{b_1})+(H_1\cap H_{b_2})). \end{aligned} \end{aligned}$$

Now for \(i=1,2, H_1\cap H_{b_i}\) is the plane containing \(L_i\) and the origin O. Hence the space \((H_1\cap H_{b_1})+(H_1\cap H_{b_2})\) is exactly the 3-flat \(H_1\) spanned by the lines \(L_1\) and \(L_2\) containing O which is therefore three dimensional. So we have \(\dim _\mathbb {R}{(H_1 \cap H_{b_1}\cap H_{b_2})}=1\) and hence \(\dim _\mathbb {R}{(V_1+V_{b_1}+V_{b_2})}=l-1\).

Now we prove (2). First we observe that for \(1\le p \le n-1, i\ne j,r\ne s,i,j,r,s\in \Delta _p\) the \(V_i+V_j=V_r+V_s,\dim _\mathbb {R}{(V_i+V_j)}=l-2\). This is because \(H_i\cap H_j=H_r\cap H_s=\underset{t\in \Delta _p}{\cap } H_t\) and its dimension is 2. Now we have the following sequence of subspace inclusions:

$$\begin{aligned} \begin{aligned} V_{b_3}&\subsetneq V_1+V_{b_2+1} \subset V_1+V_2+V_{b_1+1}~(\text {because }V_{b_2+1}\subsetneq V_2+V_{b_1+1})\\&=V_1+V_2+V_{b_2}~(\text {because }V_1+V_{b_1+1}= V_1+V_{b_2})\\&= V_1+V_{b_1}+V_{b_2}~(\text {because }V_1+V_2= V_1+V_{b_1}). \end{aligned} \end{aligned}$$

Similarly, we get \(V_{b_j}\subsetneq V_1+V_{b_1}+V_{b_2}\) for \(3\le j\le a_1\). This implies that \(V_i\subsetneq V_1+V_{b_1}+V_{b_2}\) for \(1\le i\le b_{a_1}\). We have \(\Delta _n\subset \underset{i=1}{\overset{n-1}{\cup }}\Delta _i\) and for \(a_1+1\le i\le n-1\), the set \(\Delta _i\) contains two 3-flats one from the set \(\Delta _1\) and one from the set \(\Delta _2\) different from \(H_1\). Hence \(V_i\subsetneq V_1+V_{b_1}+V_{b_2},1\le i\le m\). This proves the claim. \(\square \)

Coming to the proof of Theorem A.3, let \(L=(V_1+V_{b_1}+V_{b_2})^{\perp }\subseteq \underset{i=1}{\overset{m}{\cap }} H_i\). For \(1\le i\le n\), the line L and \(L_i\) are coplanar in the plane \(H_r\cap H_s\) for \(r\ne s,r,s\in \Delta _i\). Clearly \(L\ne L_i,1\le i\le n-1\) and by coplanarity of L with say \(L_1\), we must have \(L\ne L_n\). This proves Theorem A.3.

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Kumar, C.P.A., Singh, A. On a conjecture of Kelly on (1, 3)-representation of Sylvester–Gallai designs. Proc Math Sci 132, 24 (2022). https://doi.org/10.1007/s12044-022-00656-9

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