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 deterministic time hierarchy theorem
Statement
For time-constructible that are eventually at least and satisfy ,
Facts & Assumptions
Given: The stated constructible bounds, including the eventual linear floor required when a bound clocks a machine (Time-constructible and space-constructible functions).
The clocked diagonal language and its behavior on every sufficiently long valid padded code are supplied by The time-diagonal language respects its budget.
Proof
Apply [L1] to obtain its language .
Since is eventually at least and , we have . Any decider is therefore also an decider, proving .
Suppose a machine running in decided . Fix an integer large enough to bound its running time by at all sufficiently large ; enlarge to cover the finitely many shorter lengths as well. By [L1], the clocked pair has arbitrarily long valid padded codes , and on each sufficiently long one the diagonal decider returns the complement of , since the inner clock does not expire. But decides on , a contradiction. Thus ; combine this with steps 1.1–1.2 for strict containment.
Depends on
Used by
- P is properly contained in EXP Corollary
- Budgeting a time-diagonal language Example
- Hierarchy theorems do not separate P from NP Proposition
Dependency tree · two levels
10 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, Theorem 3.1 (standard reference, not scraped)