A Multitrack Turing machine is a specific type of multi-tape Turing machine.
In a standard n-tape Turing machine, n heads move independently along n tracks. In a n-track Turing machine, one head reads and writes on all tracks simultaneously. A tape position in an n-track Turing Machine contains n symbols from the tape alphabet. It is equivalent to the standard Turing machine and therefore accepts precisely the recursively enumerable languages.
A multitrack Turing machine with
-tapes can be formally defined as a 6-tuple
, where
is a finite set of states;
is a finite set of input symbols, that is, the set of symbols allowed to appear in the initial tape contents;
is a finite set of tape alphabet symbols;
is the initial state;
is the set of final or accepting states;
is a partial function called the transition function.
- Sometimes also denoted as
, where
.
A non-deterministic variant can be defined by replacing the transition function
by a transition relation
.
Proof of equivalency to standard Turing machine
This will prove that a two-track Turing machine is equivalent to a standard Turing machine. This can be generalized to a n-track Turing machine. Let L be a recursively enumerable language. Let
be standard Turing machine that accepts L. Let M' is a two-track Turing machine. To prove
it must be shown that
and
.

If the second track is ignored then M and M' are clearly equivalent.

The tape alphabet of a one-track Turing machine equivalent to a two-track Turing machine consists of an ordered pair. The input symbol a of a Turing machine M' can be identified as an ordered pair
of Turing machine M. The one-track Turing machine is:
with the transition function ![{\displaystyle \delta \left(q_{i},[x_{1},x_{2}]\right)=\delta '\left(q_{i},[x_{1},x_{2}]\right)}](https://wikimedia.org/api/rest_v1/media/math/render/svg/dfe2e64a2ddb3f5bf0c051dac28976f975b5833f)
This machine also accepts L.
References
- Thomas A. Sudkamp (2006). Languages and Machines, Third edition. Addison-Wesley. ISBN 0-321-32221-5. Chapter 8.6: Multitape Machines: pp 269–271