A Lower Bound Result for the Common Element Problem and Its Implication for Reflex ive Reasoning

In this paper we prove a lower bound of Ω(n log n) for the common element problem on two sets of size n each. Two interesting consequences of this lower bound are also discussed. In particular, we show that linear space neural network models that admit unbalanced rules cannot draw all inferences in time independent of the knowledge base size. We also show that the join operation in data base applications needs Ω(log n) time given only n processors. Comments University of Pennsylvania Department of Computer and Information Science Technical Report No. MSCIS-93-73. This technical report is available at ScholarlyCommons: http://repository.upenn.edu/cis_reports/509 A Lower Bound Result for The Common Element Problem and Its IMplication for Reflexive Reasoning MS-CIS-93-73 G R A S P LAB 356 Paul Dietz Danny Krizanc Sanguthevar Rajasekaran Loke11di-a Shastri