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In mathematical logic, an uninterpreted function or function symbol is one that has no other property than its name and n-ary form. Function symbols are used, together with constants and variables, to form terms.
The theory of uninterpreted functions is also sometimes called the free theory, because it is freely generated, and thus a free object, or the empty theory, being the theory having an empty set of sentences (in analogy to an initial algebra). Theories with a non-empty set of equations are known as equational theories. The satisfiability problem for free theories is solved by syntactic unification; algorithms for the latter are used by interpreters for various computer languages, such as Prolog. Syntactic unification is also used in algorithms for the satisfiability problem for certain other equational theories, see E-Unification and Narrowing.
- select(store(a,i,v),j) = (if i = j then v else select(a,j))
This axiom can be used to deduce[note 2]
- = select(store(a,1,−1),1)
- = −1
Note that this reasoning did not use any 'definition' or interpretation for the functions select and store. All that is known is the axiom.
The decision problem for free theories is particularly important, as many theories can be reduced to it; the above example is the prototypical example of the theory of arrays, where 'select' and 'store' are the canonical array access functions.
- Here, select(a,i) informally designates the value of the ith element of a, written e.g. in C as
a[i], while store(a,i,v) informally designates the array resulting from writing the value v to the ith element of a, written in C as
a[i]=v. The axiom then informally means that the value obtained by the statements
- This deduction corresponds to the computation of the value obtained by
- Bryant, Lahiri, Seshia (2002) "Modeling and verifying systems using a logic of counter arithmetic with lambda expressions and uninterpreted functions". Computer Aided Verification 2404/2002, 106–122.
- Baader, Franz; Nipkow, Tobias (1999). Term Rewriting and All That. Cambridge University Press. p. 34. ISBN 978-0-521-77920-3.
- McCarthy, John (1962). "Towards a Mathematical Science of Computation". IFIP Congress. North-Holland. pp. 21–28.
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