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sav08:evaluating_formulas_in_finite_structures [2008/03/19 00:39]
vkuncak
sav08:evaluating_formulas_in_finite_structures [2008/03/19 10:41]
vkuncak
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 Then evaluation functions $e_F$ and $e_T$ give algorithms to determine the truth value of $F$. Then evaluation functions $e_F$ and $e_T$ give algorithms to determine the truth value of $F$.
 +
 +This is the model checking problem for first-order logic on finite structures: is a given interpretation model of $F$.
 +
  
 ===== Applications of Formula Evaluation ===== ===== Applications of Formula Evaluation =====
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 List contains no duplicates: List contains no duplicates:
   ALL n1. ALL n2. ListNode(n1) & ListNode(n2) & data(n1)=data(n2) --> n1=n2   ALL n1. ALL n2. ListNode(n1) & ListNode(n2) & data(n1)=data(n2) --> n1=n2
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 ===== Efficiency of Evaluating Formulas ===== ===== Efficiency of Evaluating Formulas =====
  
 Given a language ${\cal L}$, formula a formula $F$ in ${\cal L}$ and an interpretation $I=(D,​\alpha)$,​ determine $e_F(F)(I)$. Given a language ${\cal L}$, formula a formula $F$ in ${\cal L}$ and an interpretation $I=(D,​\alpha)$,​ determine $e_F(F)(I)$.
-  * fix formula: LOGSPACE (iterate over elements) 
-  * fix language with symbols of bounded arity: PSPACE (reduce to [[QBF and Quantifier Elimination|QBF]]) 
  
-===== References =====+Basic idea: iterate over all domain elements for quantifiers.
  
-  * Neil ImmermanDescriptive Complexity+  * fix formulaLOGSPACE (number of vars fixed, number of their bits changes) 
 +  * fix language with symbols of bounded arity: PSPACE (number of variables increases with formula size, see also [[QBF and Quantifier Elimination|QBF]]) 
 + 
 + 
 +===== References =====
  
 +  * [[http://​citeseer.ist.psu.edu/​burch90symbolic.html|Symbolic Model Checking: 10^20 States and Beyond]]
 +  * Neil Immerman: Descriptive Complexity, Springer ​
 +  ​