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.
Padding transfers time bounds
Statement
Let satisfy for every . Suppose the canonical padding in Language padding is constructible on in time, and validity of any string of length can be decided, with its unpadded word recovered when valid, in time, for a fixed integer .
If has a deterministic decider taking time, then has a decider taking on valid inputs of decoded length and total length , and on malformed inputs. Its worst-case bound at length is , where Conversely, if has a deterministic decider taking time, then has a decider taking time.
Facts & Assumptions
Given: and the construction/validation procedures above; for the forward implication an decider for , and for the converse an decider for .
Proof
For the forward implication, validate and reject it if malformed. Otherwise recover and run the supplied decider. By the padding definition its answer is correct, and its cost is . Since , the set of lengths with is finite; maximizing gives the displayed worst-case bound, including lengths with no valid pad.
For the converse, on of length construct and run the independently supplied padded-language decider. The exponent is nonnegative, including at , and this valid pad belongs to the padded language exactly when . Construction costs and the decider costs , giving the claimed sum.
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
4 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
- Sebastiaan Terwijn, Complexity Theory, Exercise 3.5.2(a) (standard reference, not scraped)