ConceptComplete

Ramsey Numbers

Ramsey theory studies the emergence of order in large structures. The central theme is that sufficiently large combinatorial objects necessarily contain highly organized substructures, regardless of how disordered the original structure may appear.


Classical Ramsey Numbers

Definition5.1Ramsey Number $R(s,t)$

The Ramsey number R(s,t)R(s, t) is the smallest positive integer nn such that every 2-coloring of the edges of KnK_n (red and blue) contains either a red KsK_s or a blue KtK_t. Equivalently, for every graph GG on nn vertices, either GG contains KsK_s as a subgraph or its complement G\overline{G} contains KtK_t.

Definition5.2Multicolor Ramsey Number

The kk-color Ramsey number R(n1,n2,,nk)R(n_1, n_2, \ldots, n_k) is the smallest integer NN such that every kk-coloring of the edges of KNK_N contains a monochromatic KniK_{n_i} in color ii for some i{1,,k}i \in \{1, \ldots, k\}.


Known Values and Bounds

ExampleSmall Ramsey Numbers

The known exact values include:

  • R(3,3)=6R(3, 3) = 6: any 2-coloring of K6K_6 contains a monochromatic triangle.
  • R(3,4)=9R(3, 4) = 9, R(3,5)=14R(3, 5) = 14, R(4,4)=18R(4, 4) = 18.
  • R(4,5)=25R(4, 5) = 25 was determined in 1995.
  • R(5,5)R(5, 5) is unknown; the best bounds are 43R(5,5)4843 \leq R(5, 5) \leq 48.
RemarkExponential Bounds

The Erdos-Szekeres recursive bound gives R(s,t)(s+t2s1)R(s, t) \leq \binom{s + t - 2}{s - 1}. For the diagonal case, this yields R(n,n)(2n2n1)4n1π(n1/2)R(n, n) \leq \binom{2n - 2}{n - 1} \leq \frac{4^{n-1}}{\sqrt{\pi(n - 1/2)}}. Erdos's probabilistic lower bound gives R(n,n)ne22n/2R(n, n) \geq \frac{n}{e\sqrt{2}} \cdot 2^{n/2}, and improving either bound significantly remains a major open problem.


Ramsey Theory on Integers

Definition5.3Schur Number

The Schur number S(r)S(r) is the largest integer nn such that {1,2,,n}\{1, 2, \ldots, n\} can be rr-colored without any monochromatic solution to x+y=zx + y = z. Equivalently, S(r)+1S(r) + 1 is the minimum NN such that every rr-coloring of [N][N] contains a monochromatic Schur triple. Known values: S(1)=1S(1) = 1, S(2)=4S(2) = 4, S(3)=13S(3) = 13, S(4)=44S(4) = 44.

ExampleSchur's Theorem for 2 Colors

S(2)=4S(2) = 4: The coloring {1,4}\{1, 4\} red, {2,3}\{2, 3\} blue on [4][4] avoids monochromatic Schur triples. But on [5][5], every 2-coloring must produce a monochromatic {x,y,x+y}\{x, y, x+y\}. If 11 and 22 get the same color (say red), then 3=1+23 = 1 + 2 must be blue, 4=1+34 = 1 + 3 must be red, and 5=2+35 = 2 + 3 must be red, but 1+4=51 + 4 = 5 are both red.