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Log-space transducer : ウィキペディア英語版
Log-space transducer
A log space transducer (LST) is a type of Turing machine used for log-space reductions.
A log space transducer, M, has three tapes:
* A read-only ''input'' tape.
* A read/write ''work'' tape (bounded to at most O(\log n) symbols).
* A write-only, write-once ''output'' tape.
M will be designed to compute a log-space computable function f\colon \Sigma^\ast \rightarrow \Sigma^\ast (where \Sigma is the alphabet of both the ''input'' and ''output'' tapes). If M is executed with w on its ''input'' tape, when the machine halts, it will have f(w) remaining on its ''output'' tape.
A language A \subseteq \Sigma^\ast is said to be log-space reducible to a language B \subseteq \Sigma^\ast if there exists a log-space computable function, f, which will convert an input from problem A into an input to problem B. I.E. w \in A \iff f(w) \in B.
This seems like a rather convoluted idea, but it has two useful properties that are desirable for a reduction:
# The property of transitivity holds. (A reduces to B and B reduces to C implies A reduces to C).
# If A reduces to B, and B is in L, then we know A is in L.
Transitivity holds because it is possible to feed the output tape of one reducer (A->B) to another (B->C). At first glance, this seems incorrect because the A->C reducer needs to store the output tape from the A->B reducer onto the work tape in order to feed it into the B->C reducer, but this is not true. Each time the B->C reducer needs to access its input tape, the A->C reducer can re-run the A->B reducer, and so the output of the A->B reducer never needs to be stored entirely at once.
==References==

*Szepietowski, Andrzej (1994), ''(Turing Machines with Sublogarithmic Space )'', Springer Press, ISBN 3-540-58355-6. Retrieved on 2008-12-03.
*Sipser, Michael (2012), ''(Introduction to the Theory of Computation )'', Cengage Learning, ISBN 978-0-619-21764-8.


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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