Superlinear Lower Bounds for Multipass Graph Processing

摘要

We prove lower bounds for the space complexity of p-pass streaming algorithms solving the following problems on n-vertex graphs: (1) testing if an undirected graph has a perfect matching (this implies lower bounds for computing a maximum matching or even just the maximum matching size), (2) testing if two specific vertices are at distance at most in an undirected graph, (3) testing if there is a directed path from s to t for two specific vertices s and t in a directed graph. The lower bounds hold for . Prior to our result, it was known that these problems require space in one pass, but no lower bound was known for any . These streaming results follow from a communication complexity lower bound for a communication game in which the players hold two graphs on the same set of vertices. The task of the players is to find out whether the sets of vertices at distance exactly from a specific vertex intersect. The game requires a significant amount of communication only if the players are forced to speak in a specific difficult order. This is reminiscent of lower bounds for communication problems such as indexing and pointer chasing. Among other things, our line of attack requires proving an information cost lower bound for a decision version of the classic pointer chasing problem and a direct sum type theorem for the disjunction of several instances of this problem.