Combinatorial Designs - Key Properties
Combinatorial designs satisfy necessary numerical conditions that constrain their parameters. Understanding these relationships guides construction and determines existence.
In a - design with , the number of blocks satisfies . Equality holds if and only if the design is symmetric (every pair of blocks intersects in points).
For a - design with blocks:
Counting equation: where is the replication number (number of blocks containing any given point).
Balanced equation:
These follow from double-counting: the first counts point-block incidences, the second counts pairs within blocks containing a fixed point.
From these relations: and .
For integer solutions, necessary conditions include:
- divides
- divides
These are necessary but not always sufficient for existence.
For a - design:
- (each point in 7 blocks)
- blocks
This design exists (Steiner triple system of order 15).
A design is resolvable if its blocks can be partitioned into resolution classes, where each class partitions (every point appears exactly once in each class).
Example: Round-robin tournament with teams and (matches) is resolvable when is even.
An automorphism of a design is a permutation of that preserves blocks: iff .
The automorphism group captures the design's symmetries. Some designs (like the Fano plane) have large automorphism groups (order 168 for Fano), while others are asymmetric.
The Bruck-Ryser-Chowla theorem provides stronger necessary conditions: For a symmetric - design, if is even, then must be a perfect square. If is odd, the Diophantine equation must have a non-trivial integer solution. These number-theoretic obstructions explain why certain parameter sets have no designs (e.g., no - design exists). Wilson's theorem provides sufficient conditions for large , showing most admissible parameters do yield designs when is large enough.
These properties constrain design existence and guide systematic construction methods.