TY - GEN
T1 - Lower bounds for approximating the matching polytope
AU - Sinha, Makrand
N1 - Publisher Copyright:
© Copyright 2018 by SIAM.
PY - 2018
Y1 - 2018
N2 - We prove that any linear program that approximates the matching polytope on n-vertex graphs up to a factor of (1 + ϵ) for any 2/n ≤ ϵ ≤ 1 must have at least n α= inequalities where 0 ≤ < 1 is an absolute constant. This is tight as exhibited by the (1 + ") approximating linear program obtained by dropping the odd set constraints of size larger than (1 + ϵ) from the description of the matching polytope. Previously, a tight lower bound of 2(n) was only known for " = O -1 n [22, 5] whereas for 2/n ≤ ϵ ≤ 1, the best lower bound was 2 Ω(1/ϵ) [22]. The key new ingredient in our proof is a close connection to the non-negative rank of a lopsided version of the unique disjointness matrix.
AB - We prove that any linear program that approximates the matching polytope on n-vertex graphs up to a factor of (1 + ϵ) for any 2/n ≤ ϵ ≤ 1 must have at least n α= inequalities where 0 ≤ < 1 is an absolute constant. This is tight as exhibited by the (1 + ") approximating linear program obtained by dropping the odd set constraints of size larger than (1 + ϵ) from the description of the matching polytope. Previously, a tight lower bound of 2(n) was only known for " = O -1 n [22, 5] whereas for 2/n ≤ ϵ ≤ 1, the best lower bound was 2 Ω(1/ϵ) [22]. The key new ingredient in our proof is a close connection to the non-negative rank of a lopsided version of the unique disjointness matrix.
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U2 - 10.1137/1.9781611975031.104
DO - 10.1137/1.9781611975031.104
M3 - Conference contribution
AN - SCOPUS:85045536440
T3 - Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms
SP - 1585
EP - 1604
BT - 29th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2018
A2 - Czumaj, Artur
PB - Association for Computing Machinery
T2 - 29th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2018
Y2 - 7 January 2018 through 10 January 2018
ER -