Finite linear spaces consisting of two symmetric configurations


Let S be a finite incidence structure with v points and b lines. S is called a linear space if:

  1. any two points are joined by a unique line, and
  2. each line is incident with at least two points.

On the other hand, S is a symmetric (vk) configuration provided:

  1. any two points are joined by at most one line, and
  2. each line is incident with k points and each point is incident with k lines.

Consequently, the number of points equals the number of lines, v=b (hence the name symmetric).

Together with prof. Juraj Siftar I wrote a paper published in Glasnik Matematicki about linear spaces consisting of two symmetric configurations. More precisely, a linear space is called a twofold symmetric configuration space for (k, l), shortly a TSC(k, l), if the set of lines can be decomposed into two sets, the first one forming a (vk) configuration with the set of all points, and the second one a (vl) configuration. The number of points in a TSC space can be expressed as v = k*(k-1) + l*(l-1) +1, and the number of lines is twice the number of points, b = 2*v.

The following table contains links to incidence matrices of "small" TSC spaces. To the best of our knowledge, these are the only known TSC(k, l) for 2 < k < l < 10. In the paper a direct construction based on projective planes is presented, yielding TSC(4,13), TSC(6,31), TSC(6,32), TSC(9,73) and other "large" examples.

   l=4       l=5       l=6       l=7       l=8   
   k=3    56 2 4 102 100
   k=4      12 ? ? ?

The TSC spaces in the table were constructed by several methods:


Vedran Krcadinac and Juraj Siftar, 17.1.2004.