Notes

Outline

Finite Model Theory Lecture 7 Complexity of FO (cont’d)

Outline Complexity of conjunctive queries

Conjunctive Queries The FO fragment consisting of: R(x,y,…)      -- atomic formulas x=y               -- equality f1 Æ phi2       -- conjunction 9 x.f             -- existential quantifiers Canonical form: 9 x1.9 x2… 9 xk.(G1 Æ … Æ Gm) or, simply:  G1, …, Gm

Complexity of Conjunctive Queries Theorem The query complexity of CQ is NP-hard. The combined complexity of CQ is NP-complete. Proof NP membership.  Let: f = 9 x1 … 9 xk G1 Æ … Æ Gm A = (A, R1A, …, RpA) Step 1: guess k values a1, …, ak 2 A Step 2: check if G1 Æ … Æ Gm is true after substituting x1 with a1, …, xk with ak

Proof (cont’d) Hardness: will design a structure A s.t. the set {f | A ² f} is NP-hard. By reduction from 3 colorability A = ({0,1,2}, N), where N = {(i,j) | i ¹ j} Let G = (V, E) be a graph, |V| = k Define: f = 9 x1 … 9 xk (Æ(xi, xj) 2 E N(xi, xj))

Tree Decomposition Note: a conjunctive query = a hypergraph A tree decomposition of a conjunctive query (or hypergraph) with variables (nodes) V is a tree T, and a set Bt µ V for each node t in T such that: For every x 2 V, the set {t | x 2 Bt} is connected Every hyperedge of the query (hypergraph) is contained in some Bt

Tree Decomposition Examples [in class]: f = R(x,y,z), R(z,u,v), S(v,w) f = R(x,y,z), R(z,u,v), R(v,w,x)

Tree Decomposition Definition A conjunctive query (or a hypergraph) is acyclic if there exists a tree decomposition such that 8 t, Bt is an hyperedge. I.e. there are no redundant variables on the tree nodes.

Tree Decomposition Theorem If f is an acyclic conjunctive query and A is a structure, then checking whether A ² f can be done in timme O(|f| |A|) Note: |A| denotes the size of the entire structure, i.e. is more of the form n + n3 + n2 + n5 if the arities of the relations in A are 3, 2, 5. Proof [in class]