EXPSPACE
From Academic Kids
In complexity theory, EXPSPACE is the set of all decision problems solvable by a deterministic Turing machine in O(2p(n)) space, where p(n) is a polynomial function of n. (Some authors restrict p(n) to be a linear function, but most authors instead call the resulting class ESPACE.)
In terms of DSPACE,
- <math>\mbox{EXPSPACE} = \bigcup_{k\in\mathbb{N}} \mbox{DSPACE}(2^{n^k})<math>
The complexity class EXPSPACE-complete is also a set of decision problems. A decision problem is in EXPSPACE-complete if it is in EXPSPACE, and every problem in EXPSPACE has a polynomial-time many-one reduction to it. In other words, there is a polynomial-time algorithm that transforms instances of one to instances of the other with the same answer. EXPSPACE-complete might be thought of as the hardest problems in EXPSPACE.
EXPSPACE is a strict superset of PSPACE, NP-complete, NP, and P and is believed to be a strict superset of EXPTIME.
An example of an EXPSPACE-complete problem is the problem of recognizing whether two regular expressions represent different languages, where the expressions are limited to four operators: union, concatenation, the Kleene star (zero or more copies of an expression), and squaring (two copies of an expression).
If the Kleene star is left out, then that problem becomes NEXPTIME-complete, which is like EXPTIME-complete, except it is defined in terms of non-deterministic Turing machines rather than deterministic.
It has also been shown by L. Berman in 1980 that the problem of verifying / falsifying any first-order statement about real numbers that involves only addition and comparison (but no multiplication) is in EXPSPACE.
References
- L. Berman The complexity of logical theories, Theoretical Computer Science 11:71-78, 1980.
| Important complexity classes (more) |
| P | NP | Co-NP | NP-C | Co-NP-C | NP-hard | UP | #P | #P-C | L | NC | P-C |
| PSPACE | PSPACE-C | EXPTIME | EXPSPACE | BQP | BPP | RP | ZPP | PCP | IP | PH |
