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2.2 Generalizations of Ramsey's Theorem

3 min readjuly 22, 2024

for hypergraphs extends the classic graph version to higher dimensions. It guarantees the existence of in large enough hypergraphs, no matter how the hyperedges are colored.

quantify the minimum size needed to ensure these monochromatic substructures. While their existence is proven, determining exact values or tight bounds remains a challenging open problem in combinatorics.

Ramsey's Theorem Generalizations

Ramsey's theorem for hypergraphs

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  • Ramsey's Theorem for graphs establishes for any positive integers rr and ss, there exists a minimum positive integer R(r,s)R(r,s) such that any graph on at least R(r,s)R(r,s) vertices contains either a of size rr (complete subgraph where every pair of vertices is connected by an edge) or an of size ss (set of vertices with no edges between them)
  • Ramsey's Theorem for hypergraphs extends this concept, stating for any positive integers r1,r2,...,rkr_1, r_2, ..., r_k and any integer k2k \geq 2, there exists a minimum positive integer R(r1,r2,...,rk)R(r_1, r_2, ..., r_k) such that any kk-uniform hypergraph (hypergraph where each hyperedge contains exactly kk vertices) on at least R(r1,r2,...,rk)R(r_1, r_2, ..., r_k) vertices contains a monochromatic complete kk-uniform subhypergraph (subhypergraph where all hyperedges of size kk are present and have the same color) of size rir_i in color ii for some 1ik1 \leq i \leq k
  • Key differences between graph and hypergraph versions:
    • Graph version considers edges between pairs of vertices, while hypergraph version considers hyperedges connecting kk vertices
    • Graph version guarantees existence of either a clique or an independent set, while hypergraph version guarantees existence of a monochromatic complete kk-uniform subhypergraph

Arrow notation and Ramsey numbers

  • a1(a2,...,ak)ra_1 \rightarrow (a_2, ..., a_k)^r means for any rr- (assignment of one of rr colors to each kk-tuple of elements) of the kk-tuples of a set SS with S=a1|S| = a_1, there exists a monochromatic subset (subset where all kk-tuples have the same color) ASA \subseteq S with A=ai|A| = a_i for some 2ik2 \leq i \leq k
  • R(a2,...,ak;r)R(a_2, ..., a_k; r) is the smallest positive integer a1a_1 such that a1(a2,...,ak)ra_1 \rightarrow (a_2, ..., a_k)^r holds, representing the minimum size of set SS that guarantees existence of a monochromatic subset of size aia_i for some 2ik2 \leq i \leq k in any rr-coloring of the kk-tuples of SS

Existence of generalized Ramsey numbers

  • Theorem states for any positive integers a2,...,aka_2, ..., a_k and rr, the generalized Ramsey number R(a2,...,ak;r)R(a_2, ..., a_k; r) exists
  • Proof by on kk:
    1. Base case (k=2k = 2): Existence of R(a2;r)R(a_2; r) follows from existence of for graphs
    2. Inductive step: Assume existence of R(a2,...,ak1;r)R(a_2, ..., a_{k-1}; r) for some k3k \geq 3, then prove existence of R(a2,...,ak;r)R(a_2, ..., a_k; r)
      • Let SS be a set with S=R(R(a2,...,ak1;r),ak;r)|S| = R(R(a_2, ..., a_{k-1}; r), a_k; r)
      • Consider an arbitrary rr-coloring of the kk-tuples of SS
      • By definition of R(R(a2,...,ak1;r),ak;r)R(R(a_2, ..., a_{k-1}; r), a_k; r), there exists a monochromatic subset ASA \subseteq S with either A=R(a2,...,ak1;r)|A| = R(a_2, ..., a_{k-1}; r) or A=ak|A| = a_k
      • If A=ak|A| = a_k, proof is complete. If A=R(a2,...,ak1;r)|A| = R(a_2, ..., a_{k-1}; r), then by inductive hypothesis, there exists a monochromatic subset BAB \subseteq A with B=ai|B| = a_i for some 2ik12 \leq i \leq k-1
  • Therefore, R(a2,...,ak;r)R(a_2, ..., a_k; r) exists for all k2k \geq 2

Growth rate of Ramsey numbers

  • Classical Ramsey numbers R(r,s)R(r,s) grow exponentially as rr and ss increase
    • Lower bound: R(r,s)(r+s2r1)R(r,s) \geq \binom{r+s-2}{r-1} for r,s2r,s \geq 2
    • Upper bound: R(r,s)(r+s2r1)+1R(r,s) \leq \binom{r+s-2}{r-1} + 1 for r,s2r,s \geq 2
  • Growth rate of generalized Ramsey numbers R(a2,...,ak;r)R(a_2, ..., a_k; r) is not well-understood, with many open problems related to their bounds
    • Lower bound: R(a2,...,ak;r)2c1a2log(k2)a2R(a_2, ..., a_k; r) \geq 2^{c_1 \cdot a_2 \cdot \log^{(k-2)} a_2} for some constant c1>0c_1 > 0 and sufficiently large a2,...,aka_2, ..., a_k, where log(k2)a2\log^{(k-2)} a_2 denotes the iterated logarithm (logarithm applied k2k-2 times to a2a_2)
    • Upper bound: R(a2,...,ak;r)2c2a2k1R(a_2, ..., a_k; r) \leq 2^{c_2 \cdot a_2^{k-1}} for some constant c2>0c_2 > 0 and sufficiently large a2,...,aka_2, ..., a_k
  • Vast gap between lower and upper bounds for generalized Ramsey numbers illustrates difficulty in understanding their precise growth rate
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© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.

© 2024 Fiveable Inc. All rights reserved.
AP® and SAT® are trademarks registered by the College Board, which is not affiliated with, and does not endorse this website.
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