TY - GEN
T1 - On the testability of graph partition properties
AU - Nakar, Yonatan
AU - Ron, Dana
N1 - Publisher Copyright:
© 2018 Aditya Bhaskara and Srivatsan Kumar.
PY - 2018/8/1
Y1 - 2018/8/1
N2 - In this work we study the testability of a family of graph partition properties that generalizes a family previously studied by Goldreich, Goldwasser, and Ron (Journal of the ACM, 1998 ). While the family studied by Goldreich, Goldwasser, and Ron includes a variety of natural properties, such as k-colorability and containing a large cut, it does not include other properties of interest, such as split graphs, and more generally (p, q)-colorable graphs. The generalization we consider allows us to impose constraints on the edge-densities within and between parts (relative to the sizes of the parts). We denote the family studied in this work by GPP. We first show that all properties in GPP have a testing algorithm whose query complexity is polynomial in 1/ϵ, where ϵ is the given proximity parameter (and there is no dependence on the size of the graph). As the testing algorithm has two-sided error, we next address the question of which properties in GPP can be tested with one-sided error and query complexity polynomial in 1/ϵ. We answer this question by establishing a characterization result. Namely, we define a subfamily GPP0,1 of GPP and show that a property P 2 GPP is testable by a one-sided error algorithm that has query complexity poly(1/ϵ) if and only if P 2 GPP0,1.
AB - In this work we study the testability of a family of graph partition properties that generalizes a family previously studied by Goldreich, Goldwasser, and Ron (Journal of the ACM, 1998 ). While the family studied by Goldreich, Goldwasser, and Ron includes a variety of natural properties, such as k-colorability and containing a large cut, it does not include other properties of interest, such as split graphs, and more generally (p, q)-colorable graphs. The generalization we consider allows us to impose constraints on the edge-densities within and between parts (relative to the sizes of the parts). We denote the family studied in this work by GPP. We first show that all properties in GPP have a testing algorithm whose query complexity is polynomial in 1/ϵ, where ϵ is the given proximity parameter (and there is no dependence on the size of the graph). As the testing algorithm has two-sided error, we next address the question of which properties in GPP can be tested with one-sided error and query complexity polynomial in 1/ϵ. We answer this question by establishing a characterization result. Namely, we define a subfamily GPP0,1 of GPP and show that a property P 2 GPP is testable by a one-sided error algorithm that has query complexity poly(1/ϵ) if and only if P 2 GPP0,1.
KW - Graph Partition
KW - Properties
UR - http://www.scopus.com/inward/record.url?scp=85052433459&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.APPROX-RANDOM.2018.53
DO - 10.4230/LIPIcs.APPROX-RANDOM.2018.53
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AN - SCOPUS:85052433459
SN - 9783959770859
T3 - Leibniz International Proceedings in Informatics, LIPIcs
BT - Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques - 21st International Workshop, APPROX 2018, and 22nd International Workshop, RANDOM 2018
A2 - Blais, Eric
A2 - Rolim, Jose D. P.
A2 - Steurer, David
A2 - Jansen, Klaus
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 21st International Workshop on Approximation Algorithms for Combinatorial Optimization Problems, APPROX 2018 and the 22nd International Workshop on Randomization and Computation, RANDOM 2018
Y2 - 20 August 2018 through 22 August 2018
ER -