How statement and proof provenance work
The first chip identifies the source of the statement or construction; the second identifies the source of its local proof or verification.
- Literature-sourced: the exact statement appears in a cited source; only wording and notation differ.
- AI-adapted: a semantically identical restatement of literature-sourced material, modulo indexing, notation, and boundary cases adopted by the library.
- AI-generated: a genuinely novel statement formulated by AI, with no source for the claim itself.
These labels describe origin, not correctness: citations and verification chips remain separate evidence.
TQBF is in PSPACE
Statement
The language TQBF belongs to PSPACE.
Facts & Assumptions
Given: an input quantified Boolean formula .
TQBF is the language of true quantified Boolean formulas (Quantified Boolean formulas and the language TQBF).
A language lies in PSPACE exactly when some deterministic machine decides it using polynomial space (The classes PSPACE and NPSPACE).
Proof
If has no quantifiers, then by [L1] one only needs to evaluate a quantifier-free Boolean formula under a fully specified truth assignment. That can be done by a deterministic left-to-right parse using space polynomial in .
Suppose begins with . Recursively evaluate and, if necessary, ; accept exactly when at least one branch returns true. If instead begins with , recursively evaluate both and and accept exactly when both are true. By [L1], this is exactly the truth definition of the quantified formula.
The recursion depth is at most the number of quantified variables, hence at most . At each level the machine stores the current parse position and the current partial assignment, both of polynomial size. So the whole depth-first evaluation uses polynomial space, even though it may take exponential time.
By [L2], the deterministic recursive evaluator places TQBF in PSPACE.
Depends on
Used by
- AP equals PSPACE Theorem
- TQBF is PSPACE-complete Theorem
Dependency tree · two levels
3 results within two dependency steps of this one, each drawn at its shortest distance from it. An arrow runs from a result to what uses it, so the chart reads left to right and ends at this result, which carries a heavier outline. Every node is a link to that result. Click elsewhere on the chart to enlarge it.
Sources
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)
- Eric Blais, Models of Computation, 17. Space Complexity (standard reference, not scraped)