Integrality Gaps and Approximation Algorithms for Dispersers and Bipartite Expanders
Abstract
We study the problem of approximating the quality of a disperser. A bipartite graph G on ([N],[M]) is a ( N,(1-δ)M)-disperser if for any subset S⊂eq [N] of size N, the neighbor set (S) contains at least (1-δ)M distinct vertices. Our main results are strong integrality gaps in the Lasserre hierarchy and an approximation algorithm for dispersers. enumerate For any α>0, δ>0, and a random bipartite graph G with left degree D=O( N), we prove that the Lasserre hierarchy cannot distinguish whether G is an (Nα,(1-δ)M)-disperser or not an (N1-α,δ M)-disperser. For any >0, we prove that there exist infinitely many constants d such that the Lasserre hierarchy cannot distinguish whether a random bipartite graph G with right degree d is a ( N, (1-(1-)d)M)-disperser or not a ( N, (1-(1- d + 1-))M)-disperser. We also provide an efficient algorithm to find a subset of size exact N that has an approximation ratio matching the integrality gap within an extra loss of \1-,1-\ d. enumerate Our method gives an integrality gap in the Lasserre hierarchy for bipartite expanders with left degree~D. G on ([N],[M]) is a ( N,a)-expander if for any subset S⊂eq [N] of size N, the neighbor set (S) contains at least a · N distinct vertices. We prove that for any constant ε>0, there exist constants ε'<ε,, and D such that the Lasserre hierarchy cannot distinguish whether a bipartite graph on ([N],[M]) with left degree D is a ( N, (1-ε')D)-expander or not a ( N, (1-ε)D)-expander.
Turn this paper into a lesson
ArcXiv compiles a structured reading guide from this paper's metadata: plain-English importance, contributions, prerequisite concepts, which sections to read first, flashcards, and a quiz. Grounded in the abstract, never invented.