Testing Assignments to Constraint Satisfaction Problems
summary
Gives a precise criterion: CSP assignments admit constant-query testing exactly when the template’s polymorphism algebra has both a majority and a Maltsev (or Pixley) operation, and otherwise testing requires sublinear or linear queries. Proof uses algebraic reductions (PP-interpretation) to show hard cases encode modules or asymmetric binary relations, and uses majority/Maltsev to reduce to binary, complete-graph instances that a simple sampling one-sided tester can verify with constant queries.
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chapters (14)
- 0:00Start
- 0:53The Constraint Satisfaction Problem
- 2:15Graph colourability
- 3:16The CSP decision problem
- 6:34A distance function for assignments
- 11:39Testing assignments to CSPs
- 15:25Query complexity of CSP(A)
- 16:53The algebra associated with CSP(A)
- 18:06Some special polymorphisms
- 19:27Some examples
- 20:30Constant query testable templates
- 21:59The non constant query testable case
- 23:39The constant query case
- 26:50Related result and question
