4 research outputs found
A density version of the Carlson--Simpson theorem
We prove a density version of the Carlson--Simpson Theorem. Specifically we
show the following.
For every integer and every set of words over satisfying
there exist a word
over and a sequence of left variable words over such that the
set is contained in .
While the result is infinite-dimensional its proof is based on an appropriate
finite and quantitative version, also obtained in the paper.Comment: 73 pages, no figure
Partition theorems for left and right variable words
In 1984 T. Carlson and S. Simpson established an infinitary extension of the Hales-Jewett Theorem in which the leftmost letters of all but one of the words were required to be variables. (We call such words left variable words.) In this paper we extend the Carlson-Simpson result for left variable words, prove a corresponding result about right variable words, and determine precisely the extent to which left and right variable words can be combined in such extensions. The results mentioned so far all involve a finite alphabet. We show that the results for left variable words do not extend to words over an infinite alphabet, but that the results for right variable words do extend
this is the final version as it was submitted to the publisher. – NH Partition Theorems for Left and Right Variable Words
Abstract. In 1984 T. Carlson and S. Simpson established an infinitary extension of the Hales-Jewett Theorem in which the leftmost letters of all but one of the words were required to be variables. (We call such words left variable words.) In this paper we extend the Carlson-Simpson result for left variable words, prove a corresponding result about right variable words, and determine precisely the extent to which left and right variable words can be combined in such extensions. The results mentioned so far all involve a finite alphabet. We show that the results for left variable words do not extend to words over an infinite alphabet, but that the results for right variable words do extend. 1