Title :
Constructing Ramsey graphs from Boolean function representations
Author :
Gopalan, Parikshit
Author_Institution :
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA
Abstract :
Explicit construction of Ramsey graphs or graphs with no large clique or independent set has remained a challenging open problem for a long time. While Erdos´ probabilistic argument shows the existence of graphs on 2n vertices with no clique or independent set of size 2n, the best explicit constructions achieve a far weaker bound. Constructing Ramsey graphs is closely related to polynomial representations of Boolean functions; a low degree representation for the OR function can be used to explicitly construct Ramsey graphs (Grolmusz, 2000). We generalize the above relation by proposing a new framework. We propose a new definition of OR representations: a pair of polynomials represent the OR function if the union of their zero sets contains all points in {0, 1}n except the origin. We give a simple construction of a Ramsey graph using such polynomials. Furthermore, we show that all the known algebraic constructions, ones to due to Frankl-Wilson (1981), Grolmusz (2000) and Alon (1998) are captured by this framework; they can all be derived from various OR representations of degree O(radicn) based on symmetric polynomials. Thus the barrier to better Ramsey constructions through such algebraic methods appears to be the construction of lower degree representations. Using new algebraic techniques, we show that better bounds cannot be obtained using symmetric polynomials
Keywords :
Boolean functions; algebra; graph theory; Boolean function; OR representation; Ramsey constructions; Ramsey graphs; algebraic construction; polynomial representation; symmetric polynomials; Boolean functions; Circuits; Combinatorial mathematics; Complexity theory; Computational complexity; Educational institutions; Machinery; Polynomials;
Conference_Titel :
Computational Complexity, 2006. CCC 2006. Twenty-First Annual IEEE Conference on
Conference_Location :
Prague
Print_ISBN :
0-7695-2596-2
DOI :
10.1109/CCC.2006.14