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.
Membership, emptiness, finiteness, equivalence, and containment for regular languages
Definition
The standard DFA decision problems for regular languages are the following.
- Membership: given a DFA over and a word , decide whether .
- Emptiness: given a DFA , decide whether .
- Finiteness: given a DFA , decide whether is finite.
- Equivalence: given DFA's over the same alphabet, decide whether .
- Containment: given DFA's over the same alphabet, decide whether .
By Regular languages, these are decision problems for regular languages because a DFA is a witness for regularity.
Depends on
Used by
Dependency tree · two levels
8 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
- John Watrous, Introduction to the Theory of Computing, Lecture 15: Encodings; examples of decidable languages (standard reference, not scraped)
- H. Conrad Cunningham, Notes on Models of Computation, Chapter 4: Properties of Regular Languages (standard reference, not scraped)