Probabilistic Methods in Combinatorics

Вероятностные методы в комбинаторике
Joel Spencer
1995-01-01

Erdős 1947Ramsey function R(k,k)clique and independence numbersprobabilistic methodrandom graph G(n, 0.5)
In 1947 Paul Erdős [8] began what is now called the probabilistic method. He showed that if $$\left( {\begin{array}{*{20}{c}} n \\ k \\ \end{array} } \right){{2}^{{1 - \left( {\begin{array}{*{20}{c}} k \\ 2 \\ \end{array} } \right)}}} < 1 $$ then there exists a graph G on n vertices with clique number w(G) < k and independence number a(G) < k. (in terms of the Ramsey function, R(k,k) > n.) In modern lanuage he considered the random graph G(n,.5) as described below. For each k-set S let BS denote the “bad” events that S is either a clique or an independent set. Then Pr[BS] = 21-(k/2) so that ΣPr[BS] < 1, hence ∧ $$ \wedge {\bar B_s}$$ ≠ ∅ and a graph satisfying ∧ $$ \wedge {\bar B_s}$$ must exist.
1
Erdős (1947) initiated the probabilistic method by showing existence results via random graphs G(n,0.5).
2
If binomial(n,k) * 2^{1 - binomial(k,2)} < 1, then there exists a graph on n vertices with clique number < k and independence number < k.
3
The condition above implies R(k,k) > n, giving a lower bound on the diagonal Ramsey number via probabilistic reasoning.
4
The proof uses events BS that a given k-set is a clique or independent set, with Pr[BS] = 2^{1 - binomial(k,2)}, and sums of these probabilities < 1 to guarantee existence.

Random graph G(n, 0.5) (graphs on n vertices sampled with edge-probability 1/2)

Existence of graphs on n vertices with clique number < k and independence number < k via probabilistic method (bounds related to Ramsey function R(k,k))

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1995-01-01
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Joel Spencer
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