PSPACE-completeness
Definition
Let be a finite alphabet, and let be a language. The language is PSPACE-complete when both conditions hold.
- lies in the class PSPACE.
- for every , where is polynomial-time reducibility.
A language that satisfies condition 2 is called PSPACE-hard.
Remarks
Example: the language TQBF of true fully quantified Boolean formulas, such as , is PSPACE-complete. It lies in PSPACE because a recursive evaluation over the quantifiers reuses space and needs space polynomial in the formula. Hardness comes from encoding a polynomial-space computation by a quantified formula.
Non-example: the empty language lies in PSPACE but fails condition 2. Only the empty language reduces to it, while PSPACE contains nonempty languages.
Other PSPACE-complete problems are generalized geography and the universality of regular expressions, which asks whether a regular expression describes all strings. If a PSPACE-complete language lies in P, then . If one lies in NP, then .
Reading path
To understand this page from the ground up, read these 6 pages in order. The foundations come first.
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- no evidence level
- Formal language concept
- NP concept
- P concept
- PSPACE concept
- Polynomial-time reduction concept
- PSPACE-completeness definition
Further reading
About this page
| Tag | VTMF1QTZ9R |
|---|---|
| URI | m2://VTMF1QTZ9R |
| Kind | definition |
| Writing | W0 stub |
| MSC | 68Q17, 68Q15 |
| Defines | PSPACE-completeness |
| Uses | PSPACE, Polynomial-time reduction, Formal language, P, NP |
| Changed | 3 November 2026 |
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