Problem Solving in Automata, Languages, and Complexity

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4.1 One-Tape Turing Machines


In the previous chapters, we have studied two types of computational models:

finite automata and pushdown automata. A finite automaton is an abstract

machine having a finite control but no run-time memory. The class of lan-

guages recognized by finite automata is characterized exactly as regular lan-

guages. A pushdown automaton also has a finite control and has, in addition,

a single pushdown stack as the run-time memory, whose size may grow at

the run time. The class of languages recognized by pushdown automata is

characterized as context-free languages. It is clear that these machines are of

limited computational power, compared with our real digital computers. For

instance, the language {unbncn ] n > - 0) is not a context-free language but

can be easily recognized by a short program in the real computers.

In this chapter, we introduce a new machine model, called the Turing

machine, which has a finite control plus a tape as the run-time memory, whose

size is unlimited. Furthermore, the tape head of the machine is allowed to

move around the tape to read and write symbols, and so it behaves similarly

to a real computer. Indeed, one of the main results of this chapter is to show

that the computational power of Turing machines is the same as that of many

other well-studied computational models.

There are many variations of Turing machines. We start with the simplest

kind, the one-tape deterministic Turing machine. A one-tape deterministic

Turing machine (also called one-tape RTM, DTM or, simply, TM), similar

to a DFA, consists of three parts: a tape, a tape head, and a finite control

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Problem Solving in Automata, Languages, and Complexity.
Ding-Zhu Du, Ker-I Ko
Copyright2001 by John Wiley & Sons, Inc.
ISBNs: 0-471-43960-6 (Hardback); 0-471-22464-2 (Electronic)
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