We prove three results about colorings of the simplex reminiscent of Sperner's Lemma, with applications in hardness of approximation and fair division.
First, we prove a coloring lemma conjectured by [5]: Let [EQUATION] and [EQUATION]. Then for every Sperner-admissible labeling (l: Vk,q → [k] such that vl(v) > 0 for each v ∈ Vk,q), there are at least (q+k-3k-2) non-monochromatic hyperedges in Ek,q. This implies an optimal Unique-Games hardness of (k − 1 − e)-approximation for the Hypergraph Labeling with Color Lists problem [2]: Given a k-uniform hypergraph H = (V, E) with color lists L(v) ⊆ [k] ∀v ∈ V, find a labeling l(v) ∈ L(v) that minimizes the number of non-monochromatic hyperedges. We also show that a (k − 1)-approximation can be achieved. Second, we show that in contrast to Sperner's Lemma, there is a Sperner-admissible labeling of Vk,q such that every hyperedge in Ek,q contains at most 4 colors. We present an interpretation of this statement in the context of fair division: There is a preference function on Δk,q = [EQUATION] such that for any division of q units of a resource, (x1, x2, . . ., xk) ∈ Δk,q such that [EQUATION] = q − 1, at most 4 players out of k are satisfied.
Third, we prove that there are subdivisions of the simplex with a fractional labeling (analogous to a fractional solution for Min-CSP problems) such that every hyperedge in the subdivision uses only labelings with 1 or 2 colors. This means that a natural LP cannot distinguish instances of Hypergraph Labeling with Color Lists that can be labeled so that every hyperedge uses at most 2 colors, and instances that must have a rainbow hyperedge. We prove that this problem is indeed NP-hard for k = 3.
[1]
Chandra Chekuri,et al.
Approximation Algorithms for Submodular Multiway Partition
,
2011,
2011 IEEE 52nd Annual Symposium on Foundations of Computer Science.
[2]
SU Francisedward.
RENTAL HARMONY : SPERNER ’ S LEMMA IN FAIR DIVISION
,
2000
.
[3]
Joseph Naor,et al.
A Linear Programming Formulation and Approximation Algorithms for the Metric Labeling Problem
,
2005,
SIAM J. Discret. Math..
[4]
Jan Vondrák,et al.
Hardness of Submodular Cost Allocation: Lattice Matching and a Simplex Coloring Conjecture
,
2014,
APPROX-RANDOM.
[5]
D. Moore.
Simplicial Mesh Generation with Applications
,
1992
.
[6]
Prasad Raghavendra,et al.
Sdp gaps and ugc hardness for multiway cut, 0-extension, and metric labeling
,
2008,
STOC.
[7]
E. Sperner.
Neuer beweis für die invarianz der dimensionszahl und des gebietes
,
1928
.
[8]
Éva Tardos,et al.
Approximation algorithms for classification problems with pairwise relationships: metric labeling and Markov random fields
,
1999,
40th Annual Symposium on Foundations of Computer Science (Cat. No.99CB37039).
[9]
Thomas J. Schaefer,et al.
The complexity of satisfiability problems
,
1978,
STOC.
[10]
Jan Vondrák,et al.
Local Distribution and the Symmetry Gap: Approximability of Multiway Partitioning Problems
,
2013,
SODA.
[11]
Chandra Chekuri,et al.
Submodular Cost Allocation Problem and Applications
,
2011,
ICALP.
[12]
Herbert Edelsbrunner,et al.
Edgewise subdivision of a simplex
,
1999,
SCG '99.