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Automated Theorem Proving Lecture 4

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Automated Theorem Proving Lecture 4 Memory axiom Theories communicating via equality and variables Theory of arrays Theory of Equality with Uninterpreted Functions ... – PowerPoint PPT presentation

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Title: Automated Theorem Proving Lecture 4


1
Automated Theorem ProvingLecture 4
2
  • ? Formula A ?? ? ? ?
  • A ? Atom b t 0 t lt 0 t ? 0
  • t ? Term c x t t t t ct
    Select(m,t)
  • m ? MemTerm f Update(m,t,t)
  • f ? Field
  • b ? SymBoolConst
  • x ? SymIntConst
  • c ? ,-1,0,1,

3
Memory axiom
for all objects o and o, and memories m ? o
o ? Select(Update(m,o,v),o) v ? o ? o ?
Select(Update(m,o,v),o) Select(m,o)
4
b.f 5 a.f 5 a.f b.f 10
iff
Select(f,b) 5 ? Select(Update(f,a,5),a)
Select(Update(f,a,5),b) ? 10 is unsatisfiable
theory of arithmetic 5, 10, theory of arrays
Select, Update, f
Constraints that arise in program verification
are mixed!
5
Theories communicating via equality and variables
Select(f,b) 5 ? Select(Update(f,a,5),a)
Select(Update(f,a,5),b) ? 10
Introduce variable w to represent
Select(f,b) variable x to represent
Select(Update(f,a,w),a) variable y to represent
Select(Updatef,a,w),b) variables z and z to
eliminate the arithmetic disequality
Theory of arithmetic
Theory of arrays
w Select(f,b) x Select(Update(f,a,w),a) y
Select(Update(f,a,w),b) z ? z
w 5 x y z z 10
6
Theory of arrays
  • ? Formula A ? ? ?
  • A ? Atom t t t ? t
  • t ? Term c Select(m,t)
  • m ? MemTerm f Update(m,t,t)
  • c ? SymConst

for all objects o and o, and memories m ? o
o ? Select(Update(m,o,v),o) v ? o ? o ?
Select(Update(m,o,v),o) Select(m,o)
7
Theory of Equality with Uninterpreted Functions
  • ? Formula A ? ? ?
  • A ? Atom t t t ? t
  • t ? Term c f(t,,t)
  • c ? SymConst
  • f ? Function

for all constants a and b and functions f - a
a - a b ? b a - a b ? b c ? a c - a b
? f(a) f(b)
8
f(a,b) a
f(f(a,b),b) b
f(f(a)) a
f(a,b) b
f(a) a
a b
f(f(f(f(a)))) a
9
f(a,b) a
f(f(a,b),b) b
10
f
Congruence closure algorithm
f
f
f
f
f
a
b
f
e-graph
a
Use union-find algorithm to maintain equivalence
classes on terms.
11
Decision procedure for EUF
1. Construct initial e-graph for all terms
appearing in equalities and
disequalities. 2. Apply congruence closure
ignoring disequalities. 3. If there is a
disequality t1 ? t2 and an equivalence class
containing both t1 and t2, return
unsatisfiable. 4. Otherwise, return satisfiable.
12
Soundness
Theorem If the algorithm returns unsatisfiable,
the constraints are unsatisfiable.
Lemma At every step of the congruence closure
algorithm, each equality in the e-graph is
implied by the original set of
equalities. Proof By induction on the number
of steps.
13
Completeness
Theorem If the algorithm returns satisfiable,
there is a model satisfying the constraints.
14
Model
  • A (finite or infinite) universe U
  • An interpretation I
  • maps each constant symbol u to an
  • element I(u) ? U
  • maps each function symbol f to a
  • function I(f) ? (U?U)

15
Completeness
Theorem If the algorithm returns satisfiable,
there is a model satisfying the constraints.
How do we construct the model?
16
f
f(a,b) a
f(f(a,b),b) b
f
a
b
For any term t in the e-graph, let EC(t) be the
equivalence class containing t. U set of
equivalence classes new element ? I(c)
EC(c) I(f)(?) EC(f(u)), if ?u??. f(u) is a term
in the e-graph I(f)(?) ?, otherwise
17
Convexity
A conjunction of facts is convex if whenever it
entails a disjunction of equalities, it also
entails at least one equality by itself.
If C ? a1 b1 ? ? an bn Then there is i ?
1,n such that C ? ai bi
A theory is convex if ever conjunction of facts
in the theory is convex.
18
EUF is convex
Suppose C ? u1 t1 ? u2 t2 Then C ? u1 ? t1 ?
u2 ? t2 is unsatisfiable The congruence closure
algorithm demonstrates that there is some i such
that even C ? ui ? ti is unsatisfiable
19
Uninterpreted theory
Function symbols f1, f2, (each with an arity ?
0,1,) Relation symbols R1, R2, (each with
an arity ? 0,1,) Special relation equality
(arity 2) Variables x1, x2, Boolean facts x1
x2, x1 ? x2, R(x1, x2), ?R(x1, x2), ?x. R(x,y)
A conjunction of facts is consistent iff there is
a model (U,I) that satisfies each fact in the
conjunction.
e.g., EUF, arrays, lists
20
Interpreted theory
Function symbols f1, f2, (each with an arity ?
0,1,) Relation symbols R1, R2, (each with
an arity ? 0,1,) Special relation equality
(arity 2) Variables x1, x2, Boolean facts x1
x2, x1 ? x2, R(x1, x2), ?R(x1, x2), ?x. R(x,y)
Fixed model (U,I) providing an interpretation for
the function and relation symbols.
A conjunction of facts is consistent iff I can be
extended to the free variables of the
conjunction so that each fact in the conjunction
is satisfied.
e.g., arithmetic over rationals, arithmetic over
integers
21
Communicating theories
  • Suppose the only shared symbols between two
    theories T1 and T2 are equality and variables
  • C1 is conjunction of facts in theory T1
  • C2 is conjunction of facts in theory T2
  • Suppose C1 is consistent by itself and C2 is
    consistent by itself
  • Is C1 ? C2 consistent?

22
f(f(x) f(y)) ? f(z) ? x ? y ? y z ? x ?
z ? 0
g1 z
C1 is consistent C2 is consistent
But C1 ? C2 is not consistent!
23
For any conjunction C1 of facts in the theory of
rationals and any conjunction C2 of facts in the
theory of EUF, it suffices to communicate
equalities over shared variables.
What if C1 is a conjunction of facts in the
theory of arithmetic over integers?
24
C2
C1
1 ? x x ? 2 a 1 b 2
f(x) ? f(a) f(x) ? f(b)
C1 ? x a ? x b ? f(x) f(a) ? f(x) f(b)
?C2
The equality sharing procedure does not
work because the theory of integers is
non-convex (although the theory of rationals is
convex)!
Fix Communicate disjunctions of equalities!
25
1 ? x x ? 2 a 1 b 2
f(x) ? f(a) f(x) ? f(b)
? x a ? x b
26
1 ? x x ? 2 a 1 b 2 x a
f(x) ? f(a) f(x) ? f(b) x a
4, 2, x b
Unsatisfiable
27
1 ? x x ? 2 a 1 b 2 x b
f(x) ? f(a) f(x) ? f(b) x b
Unsatisfiable
28
Another Example
29
1 ? x x ? 2 a 1 b 2
f(x) a f(a) b f(b) b
? x a ? x b
30
1 ? x x ? 2 a 1 b 2 x a
f(x) a f(a) b f(b) b x a
4, 3, x b
Unsatisfiable
31
1 ? x x ? 2 a 1 b 2 x b
f(x) a f(a) b f(b) b x b
Unsatisfiable
32
  • The procedure returns satisfiable only when
  • C1 is consistent
  • C2 is consistent
  • C1 is convex
  • C2 is convex
  • C1 entails (x y) iff C2 entails (x y)

Theorem If the procedure returns satisfiable,
then there is a model of C1 ? C2.
  • Technical side conditions
  • Every consistent formula in T1 has a countably
  • infinite model
  • (2) Every consistent formula in T2 has a
    countably
  • infinite model

33
Proof
Partition variables into equivalence classes Q1,
, Qn such that for all i ? 1,n, if x,y ? Qi
then C1 entails x y.
Lemma For all i ? 1,n, if x,y ? Qi then C2
entails x y.
For each i ? 1,n, pick representative wi ? Qi.
Lemma C1 ? ?1 ? i lt j ? n(wi ? wj) is
consistent.
Lemma C2 ? ?1 ? i lt j ? n(wi ? wj) is
consistent.
34
Proof continued
D1 C1 ? ?1 ? i lt j ? n(wi ? wj) D2 C2 ? ?1 ?
i lt j ? n(wi ? wj)
D1 has a countably infinite model (U1, I1) D2 has
a countably infinite model (U2, I2)
Pick an isomorphism K from U1 to U2 that is
consistent with variable assignments, i.e., for
all x, K(I1(x)) I2(x). The interpretations of
function and relation symbols can be mapped
easily using K.
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