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.
Subset construction tracks exactly the reachable NFA state set
Statement
Let be an NFA with epsilon-moves, and let be its subset-construction DFA.
Then for every word , where is the extended transition of .
Facts & Assumptions
Given: An NFA and its subset-construction DFA .
By The subset-construction DFA, the start state of is and its one-letter transition is .
By The extended transition function of an NFA, the extended NFA transition satisfies and .
Proof
For the empty word, by the DFA recursion, while [L1] and [L2] identify both sides with .
Fix a successor word of the form .
Assume . Then for the successor word from step 1.2 the DFA recursion gives , so [L1] turns this into .
Substituting the induction hypothesis into step 2.1 yields , and [L2] identifies that set with .
Steps 1.1, 1.2, 2.1, and 3.1 prove by induction on that for every word .
Depends on
Used by
Nothing in the library uses this result yet.
Dependency tree · two levels
5 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
- Jean Gallier and Jocelyn Quaintance, Introduction to the Theory of Computation: Some Notes for CIS511 (standard reference, not scraped)
- John Watrous, Introduction to the Theory of Computing, Lecture 3: Nondeterministic finite automata (standard reference, not scraped)