Smn theoremIn computability theory the S m In practical terms, the theorem says that for a given programming language and positive integers m and n, there exists a particular algorithm that accepts as input the source code of a program with m + n free variables, together with m values. This algorithm generates source code that effectively substitutes the values for the first m free variables, leaving the rest of the variables free. The smn-theorem states that given a function of two arguments which is computable, there exists a total and computable function such that basically "fixing" the first argument of . It's like partially applying an argument to a function. This is generalized over tuples for . In other words, it addresses the idea of "parametrization" or "indexing" of computable functions. It's like creating a simplified version of a function that takes an additional parameter (index) to mimic the behavior of a more complex function. The function is designed to mimic the behavior of when given the appropriate parameters. Essentially, by selecting the right values for and , you can make behave like for a specific computation. Instead of dealing with the complexity of , we can work with a simpler that captures the essence of the computation. DetailsThe basic form of the theorem applies to functions of two arguments (Nies 2009, p. 6). Given a Gödel numbering of recursive functions, there is a primitive recursive function s of two arguments with the following property: for every Gödel number p of a partial computable function f with two arguments, the expressions and are defined for the same combinations of natural numbers x and y, and their values are equal for any such combination. In other words, the following extensional equality of functions holds for every x: More generally, for any m, n > 0, there exists a primitive recursive function of m + 1 arguments that behaves as follows: for every Gödel number p of a partial computable function with m + n arguments, and all values of x1, …, xm: The function s described above can be taken to be . Formal statementGiven arities m and n, for every Turing Machine of arity and for all possible values of inputs , there exists a Turing machine of arity n, such that Furthermore, there is a Turing machine S that allows k to be calculated from x and y; it is denoted . Informally, S finds the Turing Machine that is the result of hardcoding the values of y into . The result generalizes to any Turing-complete computing model. This can also be extended to total computable functions as follows: Given a total computable function and such that , :
There is also a simplified version of the same theorem (defined infact as "simplified smn-theorem", which basically uses a total computable function as index as follows: Let be a computable function. There, there is a total computable function such that , :
ExampleThe following Lisp code implements s11 for Lisp. (defun s11 (f x)
(let ((y (gensym)))
(list 'lambda (list y) (list f x y))))
For example, See alsoReferences
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