For every finite alphabet and every positive integer , there is such that every -coloring of contains a monochromatic combinatorial line.
Induct on the alphabet size . For an -colouring, choose an -insensitive combinatorial subspace whose dimension forces a monochromatic combinatorial line over the first letters. The inductive Hales-Jewett theorem supplies that line. Changing all of its active parameters from to , one at a time, preserves the colour by the alphabet insensitivity lemma. Thus the line extends to all letters. The one-letter alphabet is the base case.
For a finite coloring of , a combinatorial subspace is -insensitive if replacing by , or conversely, in any of its variable coordinates leaves the color unchanged. For every number of colors, alphabet size , and dimension , sufficiently large guarantees such a -dimensional combinatorial subspace for any specified distinct letters .
A proof uses the pigeonhole principle on chains in consecutive coordinate blocks. Choose block lengths from left to right, making each long enough to pigeonhole the vector of colors for every earlier word and every later variable assignment. Process the blocks from right to left. Two equal color vectors give a nonempty variable interval insensitive to . Insensitivity already obtained in later blocks survives all restrictions of earlier coordinates. This lemma proves the Hales-Jewett theorem by induction on alphabet size.
For r colours, k letters and d variable blocks, set and . Process blocks from right to left. In block i, the words have colour profiles indexed by all earlier words and later variable assignments. Two profiles agree, giving a nonempty variable interval insensitive to exchanging a and b. Previously obtained insensitivity holds for all earlier words and survives their restriction. This constructs the combinatorial subspace required by the alphabet insensitivity lemma.
Articles by others on the same topic
The Hales–Jewett theorem is a result in combinatorial geometry, specifically in the field of Ramsey theory. It addresses the existence of certain types of structured configurations in combinatorial objects, such as hypercubes.