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.
The quantified formula expressing reachability between two configurations
Definition
Fix a family of vertices encoded by bit strings of length , together with a chosen quantifier-free formula of size asserting that the encoded vertex is reachable from by one legal graph edge. In the application to PSPACE-hardness, is the one-step configuration predicate for a fixed machine on a fixed input length. Let be the quantifier-free formula asserting bitwise equality of the strings and , and abbreviate
For each , define an open prenex formula , whose only free variables are the endpoint blocks , recursively as follows:
and for , first write the already prenex previous formula, after renaming all its bound variables freshly, as where is quantifier-free, and set
The variable is the midpoint candidate, the one-bit variable chooses left or right half, and the variables feed the single recursive copy of .
Remarks
- The symbols , , and abbreviate quantifier-free Boolean formulas built from . Thus the displayed construction is genuinely prenex. After the endpoint blocks are replaced by fixed bit strings, is a closed quantified Boolean formula in the sense of Quantified Boolean formulas and the language TQBF.
- The naive formula duplicates the previous level. The present definition is the size-controlled version used for the PSPACE-hardness proof.
- The intended meaning is that says that is reachable from by a path of length at most .
Depends on
Used by
Dependency tree · one level
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Sources
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)