Testing Acyclicity of Directed Graphs in Sublinear Time

This paper initiates the study of testing properties of directed graphs. In particular, the paper considers the most basic property of directed graphs – acyclicity. Because the choice of representation affects the choice of algorithm, the two main representations of graphs are studied. For the adjacency matrix representation, most appropriate for dense graphs, a testing algorithm is developed that requires query and time complexity of ~ O(1= 2), where is a distance parameter independent of the size of the graph. The algorithm, which can probe the adjacency matrix of the graph, accepts every graph that is acyclic, and rejects, with probability at least 2=3, every graph whose adjacency matrix should be modified in at least fraction of its entries so that it become acyclic. For the incidence list representation, most appropriate for sparse graphs, an (jVj1=3) lower bound is proved on the number of queries and the time required for testing, where V is the set of vertices in the graph. These results stand in contrast to what is known about testing acyclicity in undirected graphs. Department of Computer Science, State University of New York at Stony Brook, Stony Brook, NY 11794-4400, USA. Email: [email protected]. yDepartment of Electrical Engineering – Systems, Tel Aviv University, Ramat Aviv, Israel. Email: [email protected].