TY - GEN
T1 - The integrality gap of the goemans-linial SDP relaxation for sparsest cut is at least a constant multiple of √logn
AU - Naor, Assaf
AU - Young, Robert
N1 - Publisher Copyright:
© 2017 Copyright held by the owner/author(s).
PY - 2017/6/19
Y1 - 2017/6/19
N2 - We prove that the integrality gap of the Goemans-Linial semi-definite programming relaxation for the Sparsest Cut Problem is Ω(√logn) on inputs with n vertices, thus matching the previously best known upper bound (log n)1/2+o(1) up to lower-order factors. This statement is a consequence of the following new isoperimetric-type inequality. Consider the 8-regular graph whose vertex set is the 5-dimensional integer grid ℤ5 and where each vertex (a, b, c, d, e) ∈ ℤ5 is connected to the 8 vertices (a ± 1, b, c, d, e), (a, b ± 1, c, d, e), (a, b, c ± 1, d, e ± a), (a, b, c, d ± 1, e ± b). This graph is known as the Cayley graph of the 5-dimensional discrete Heisenberg group. Given Ω ⊆ ℤ5, denote the size of its edge boundary in this graph (a.k.a. the horizontal perimeter of Ω) by |∂hΩ|. For t ∈ N, denote by |∂tvΩ| the number of (a, b, c, d, e) ∈ ℤ5 such that exactly one of the two vectors (a, b, c, d, e), (a, b, c, d, e + f) is in ω. The vertical perimeter of Ω is defined to be |∂vΩ| = √Σ∞t=1 |∂tvΩ|2/t2. We show that every subset Ω ⊆ ℤ5 satisfies |∂vΩ| = O(|∂hΩ|). This vertical-versus-horizontal isoperimetric inequality yields the above-stated integrality gap for Sparsest Cut and answers several geometric and analytic questions of independent interest. The theorem stated above is the culmination of a program whose aim is to understand the performance of the Goemans-Linial semi-definite program through the embeddability properties of Heisenberg groups. These investigations have mathematical significance even beyond their established relevance to approximation algorithms and combinatorial optimization. In particular they contribute to a range of mathematical disciplines including functional analysis, geometric group theory, harmonic analysis, sub-Riemannian geometry, geometric measure theory, ergodic theory, group representations, and metric differentiation. This article builds on the above cited works, with the "twist" that while those works were equally valid for any finite dimensional Heisenberg group, our result holds for the Heisenberg group of dimension 5 (or higher) but fails for the 3-dimensional Heisenberg group. This insight leads to our core contribution, which is a deduction of an endpoint L1-boundedness of a certain singular integral on ℝ5 from the (local) L2-boundedness of the corresponding singular integral on ℝ3. To do this, we devise a corona-type decomposition of subsets of a Heisenberg group, in the spirit of the construction that David and Semmes performed in ℝn, but with two main conceptual differences (in addition to more technical differences that arise from the peculiarities of the geometry of Heisenberg group). Firstly, the "atoms" of our decomposition are perturbations of intrinsic Lipschitz graphs in the sense of Franchi, Serapioni, and Serra Cassano (plus the requisite "wild" regions that satisfy a Carleson packing condition). Secondly, we control the local overlap of our corona decomposition by using quantitative monotonicity rather than Jones-type β-numbers.
AB - We prove that the integrality gap of the Goemans-Linial semi-definite programming relaxation for the Sparsest Cut Problem is Ω(√logn) on inputs with n vertices, thus matching the previously best known upper bound (log n)1/2+o(1) up to lower-order factors. This statement is a consequence of the following new isoperimetric-type inequality. Consider the 8-regular graph whose vertex set is the 5-dimensional integer grid ℤ5 and where each vertex (a, b, c, d, e) ∈ ℤ5 is connected to the 8 vertices (a ± 1, b, c, d, e), (a, b ± 1, c, d, e), (a, b, c ± 1, d, e ± a), (a, b, c, d ± 1, e ± b). This graph is known as the Cayley graph of the 5-dimensional discrete Heisenberg group. Given Ω ⊆ ℤ5, denote the size of its edge boundary in this graph (a.k.a. the horizontal perimeter of Ω) by |∂hΩ|. For t ∈ N, denote by |∂tvΩ| the number of (a, b, c, d, e) ∈ ℤ5 such that exactly one of the two vectors (a, b, c, d, e), (a, b, c, d, e + f) is in ω. The vertical perimeter of Ω is defined to be |∂vΩ| = √Σ∞t=1 |∂tvΩ|2/t2. We show that every subset Ω ⊆ ℤ5 satisfies |∂vΩ| = O(|∂hΩ|). This vertical-versus-horizontal isoperimetric inequality yields the above-stated integrality gap for Sparsest Cut and answers several geometric and analytic questions of independent interest. The theorem stated above is the culmination of a program whose aim is to understand the performance of the Goemans-Linial semi-definite program through the embeddability properties of Heisenberg groups. These investigations have mathematical significance even beyond their established relevance to approximation algorithms and combinatorial optimization. In particular they contribute to a range of mathematical disciplines including functional analysis, geometric group theory, harmonic analysis, sub-Riemannian geometry, geometric measure theory, ergodic theory, group representations, and metric differentiation. This article builds on the above cited works, with the "twist" that while those works were equally valid for any finite dimensional Heisenberg group, our result holds for the Heisenberg group of dimension 5 (or higher) but fails for the 3-dimensional Heisenberg group. This insight leads to our core contribution, which is a deduction of an endpoint L1-boundedness of a certain singular integral on ℝ5 from the (local) L2-boundedness of the corresponding singular integral on ℝ3. To do this, we devise a corona-type decomposition of subsets of a Heisenberg group, in the spirit of the construction that David and Semmes performed in ℝn, but with two main conceptual differences (in addition to more technical differences that arise from the peculiarities of the geometry of Heisenberg group). Firstly, the "atoms" of our decomposition are perturbations of intrinsic Lipschitz graphs in the sense of Franchi, Serapioni, and Serra Cassano (plus the requisite "wild" regions that satisfy a Carleson packing condition). Secondly, we control the local overlap of our corona decomposition by using quantitative monotonicity rather than Jones-type β-numbers.
KW - Approximation algorithms
KW - Metric embeddings
KW - Semidefinite programming
KW - Sparsest cut problem
UR - http://www.scopus.com/inward/record.url?scp=85024407018&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85024407018&partnerID=8YFLogxK
U2 - 10.1145/3055399.3055413
DO - 10.1145/3055399.3055413
M3 - Conference contribution
AN - SCOPUS:85024407018
T3 - Proceedings of the Annual ACM Symposium on Theory of Computing
SP - 564
EP - 575
BT - STOC 2017 - Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing
A2 - McKenzie, Pierre
A2 - King, Valerie
A2 - Hatami, Hamed
PB - Association for Computing Machinery
T2 - 49th Annual ACM SIGACT Symposium on Theory of Computing, STOC 2017
Y2 - 19 June 2017 through 23 June 2017
ER -