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.
Hierarchy theorems do not separate P from NP
Statement
The deterministic and nondeterministic time hierarchy conclusions do not themselves compare with , and therefore do not constitute a proof of either or .
Facts & Assumptions
Given: the quantified conclusions of the two hierarchy theorems.
A binary language is in verifier-defined NP exactly when it belongs to for some (The verifier and nondeterministic definitions of NP agree).
Proof
Each hierarchy compares two deterministic classes or two nondeterministic classes at separated resource bounds, such as versus .
By [L1] and the definition of , the versus question compares the unions of deterministic and nondeterministic polynomial-time classes. A separation needs one language in outside every deterministic polynomial-time class; equality needs polynomial deterministic simulations for all languages. The witnesses in step 1.1 only separate two bounds in the same model, and their bounds and witnesses may vary. These stated conclusions do not themselves provide either of the required cross-model arguments. This is a comparison of what the theorem statements assert, not a formal independence claim about their consequences in an axiomatic theory.
Depends on
Used by
Dependency tree · two levels
11 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
- Arora and Barak, Computational Complexity, Chapter 3 (standard reference, not scraped)