The Weizmann Institute of Science Faculty of Mathematics and Computer Science Walmart Lecture Series in Cryptography and Complexity Seminar Room, Room 261, Ziskind Building on Monday, December 13, 2010 at 14:30 Joint Walmart and Foundations of Computer Science Seminars David Steurer Microsoft Research New England will speak on Graph Expansion and Two-Prover Games Abstract: In a seminal paper, Khot proposed two conjectures about the approximability of two-prover games, the Unique Games Conjecture and the d-to-1 Conjecture. A sequence of later works showed that these conjectures imply strong and often optimal approximation hardness results for many basic problems, making these conjectures central open questions in approximation complexity. I will discuss some recent results relating the approximability of two-prover games and graph expansion, and shedding new light on the status of Khot's conjectures. On the one hand, we propose the Small-Set Expansion Hypothesis, a natural assumption about the hardness of approximating the expansion of small sets in graphs. We show that this hypothesis implies the Unique Games Conjecture. In fact, the hypothesis turns out to be equivalent to a variant of this conjecture. Furthermore, the Small-Set Expansion Hypothesis implies the first strong approximation hardness results for several basic graph partitioning problems like Balanced Separator. On the other hand, we give subexponential algorithms for unique two-prover games and, more generally, for d-to-1 two-prover games. These algorithms imply that an NP-hardness reduction proving one of Khot's conjectures cannot have fixed polynomial degree (unless SAT has subexponential algorithms). At the heart of these algorithms are new techniques for approximating the expansion of small sets in graphs, giving further evidence for the close connection between graph expansion and two-prover games. This talk is based on joint works with (different subsets of) Sanjeev Arora, Boaz Barak, Prasad Raghavendra, and Madhur Tulsiani.