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5 - Abacus Computability

Published online by Cambridge University Press:  05 June 2012

John P. Burgess
Affiliation:
Princeton University, New Jersey
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Summary

Showing that a function is Turing computable directly, by giving a table or flow chart for a Turing machine computing the function, is rather laborious, and in the preceding chapters we did not get beyond showing that addition and multiplication and a few other functions are Turing computable. In this chapter we provide a less direct way of showing functions to be Turing computable. In section 5.1 we introduce an ostensibly more flexible kind of idealized machine, an abacus machine, or simply an abacus. In section 5.2 we show that despite the ostensible greater flexibility of these machines, in fact anything that can be computed on an abacus can be computed on a Turing machine. In section 5.3 we use the flexibility of these machines to show that a large class of functions, including not only addition and multiplication, but exponentiation and many other functions, are computable on a abacus. In the next chapter functions of this class will be called recursive, so what will have been proved by the end of this chapter is that all recursive functions are Turing computable.

Abacus Machines

We have shown addition and multiplication to be Turing-computable functions, but not much beyond that. Actually, the situation is even a bit worse. It seemed appropriate, when considering Turing machines, to define Turing computability for functions on positive integers (excluding zero), but in fact it is customary in work on other approaches to computability to consider functions on natural numbers (including zero).

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Publisher: Cambridge University Press
Print publication year: 2007

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