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Fisher's inequality, is a necessary condition for the existence of a balanced incomplete block design, that is, a system of subsets that satisfy certain prescribed conditions in combinatorial mathematics. Outlined by Ronald Fisher, a population geneticist and statistician, who was concerned with the design of experiments; studying the differences among several different varieties of plants, under each of a number of different growing conditions, called blocks.
Contents
Let:
To be a balanced incomplete block design it is required that:
Fisher's inequality states simply that
Proof
Let the incidence matrix M be a v × b matrix defined so that Mi,j is 1 if element i is in block j and 0 otherwise. Then B = MMT is a v × v matrix such that Bi,i = r and Bi,j = λ for i ≠ j. Since r ≠ λ, det(B) ≠ 0, so rank(B) = v; on the other hand, rank(B) = rank(M) ≤ b, so v ≤ b.
Generalization
Fisher's inequality is valid for more general classes of designs. A pairwise balanced design (or PBD) is a set X together with a family of subsets of X (which need not have the same size and may contain repeats) such that every pair of distinct elements of X is contained in exactly λ (a positive integer) subsets. The set X is allowed to be one of the subsets, and if all the subsets are copies of X, the PBD is called "trivial". The size of X is v and the number of subsets in the family (counted with multiplicity) is b.
Theorem: For any non-trivial PBD, v ≤ b.
This result also generalizes the Erdős–De Bruijn theorem:
For a PBD with λ = 1 having no blocks of size 1 or size v, v ≤ b, with equality if and only if the PBD is a projective plane or a near-pencil (meaning that exactly n − 1 of the points are collinear).
In another direction, Ray-Chaudhuri and Wilson proved in 1975 that in a 2s-(v, k, λ) design, the number of blocks is at least