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sav07_lecture_3 [2007/03/21 18:51]
yuanjianwz
sav07_lecture_3 [2007/03/22 16:21]
yuanjianwz
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 We can apply these rules to reduce the size of formulas. We can apply these rules to reduce the size of formulas.
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 ==== Approximation ==== ==== Approximation ====
  
-If (F -> G) is value, we say that F is stronger than F and we say G is weaker than F.+If (F -> G) is valid, we say that F is stronger than F and we say G is weaker than F.
  
 When a formula would be too complicated,​ we can instead create a simpler approximate formula. ​ To be sound, if our goal is to prove a property, we need to generate a *larger* relation, which corresponds to a weaker formula describing a relation, and a stronger verification condition. ​ (If we were trying to identify counterexamples,​ we would do the opposite). When a formula would be too complicated,​ we can instead create a simpler approximate formula. ​ To be sound, if our goal is to prove a property, we need to generate a *larger* relation, which corresponds to a weaker formula describing a relation, and a stronger verification condition. ​ (If we were trying to identify counterexamples,​ we would do the opposite).
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 Note: when proving our verification condition, instead of proving that semantics of relation implies error=false,​ it's same as proving that the formula for set sp(U,r) implies error=false,​ where U is the universal relation, or, in terms of formulas, computing the strongest postcondition of formula '​true'​. Note: when proving our verification condition, instead of proving that semantics of relation implies error=false,​ it's same as proving that the formula for set sp(U,r) implies error=false,​ where U is the universal relation, or, in terms of formulas, computing the strongest postcondition of formula '​true'​.
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 We know that the weakest precondition holds following conditions for each relation r and sets Q1, Q2: We know that the weakest precondition holds following conditions for each relation r and sets Q1, Q2:
   wp(r, Q1 ∧ Q2) = wp(r,Q1) ∧ wp(r,Q2)   wp(r, Q1 ∧ Q2) = wp(r,Q1) ∧ wp(r,Q2)
-  wp(r, Q1 ∨ Q2) = wp(r,Q1) ∨ wp(r,​Q2) ​ 
 But for statements, we have: But for statements, we have:
   wp(Q, x=t) = Q[x:=t]   wp(Q, x=t) = Q[x:=t]
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   wp(Q, c1 [] c2) = wp(Q,c1) ∧ wp(Q,c2)   wp(Q, c1 [] c2) = wp(Q,c1) ∧ wp(Q,c2)
   wp(Q, c1 ; c2) = wp(wp(Q,​c2),​c1)   wp(Q, c1 ; c2) = wp(wp(Q,​c2),​c1)
-How to prove: wp(Q,c1 [] c2) = wp(Q,c1) ∧ wp(Q,c2)?+  wp(Q, havoc(x)) = ∀x.Q ​ (or introduce a fresh variable) 
 +The idea to get : wp(Q,c1 [] c2) = wp(Q,c1) ∧ wp(Q,c2)
   CR(c1 [] c2) = CR(c1) ∨ CR(c2)   CR(c1 [] c2) = CR(c1) ∨ CR(c2)
   CR(c1 [] c2) -> error = false     ​(it'​s valid)   CR(c1 [] c2) -> error = false     ​(it'​s valid)
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 Proof: small model theorem. Proof: small model theorem.
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 ==== Small model theorem for Quantifier-Free Presburger Arithmetic (QFPA) ==== ==== Small model theorem for Quantifier-Free Presburger Arithmetic (QFPA) ====
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 +The idea is to reduce the case, for example:
 +//​∃x,​y,​z.F//​
 +reduce to 
 +//∃x≤ M,y≤ M,z ≤ M.F// 
 +Then we try to figure out the boundary M.
 +
 +Another example:
 +//¬t1 < t2// 
 +reduce to 
 +//​t2+1≤t1// ​
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 +How about the not equal ?
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 +//t1≠t2//
 +can be reduced to  ​
 +//(t1 < t2 ) ∨ (t2 < t1) => (t1 ≤ t2-1) ∨ (t2 ≤ t1-1)//
  
 First step: transform to disjunctive normal form. First step: transform to disjunctive normal form.