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 product construction gives DFA's for union and intersection
Statement
Let and be DFA's over the same alphabet, and let .
Then there is a DFA over recognizing , and there is a DFA over recognizing .
Facts & Assumptions
Given: Two DFA's and over the same alphabet .
A word is accepted by a DFA exactly when the extended transition from the start state lands in an accepting state, by Acceptance of a word by a DFA and the recognized language.
For languages over a fixed alphabet, union and intersection are the set-theoretic operations and , by Boolean operations on languages over a fixed alphabet.
Proof
Define the product machine to have state set , start state , and transition rule Intuitively, runs the two machines in parallel on the same input.
We claim that for every pair of states and every word , The claim is proved by induction on the length of : it is immediate for , and appending one letter updates both coordinates exactly as the component machines do.
If the accepting set is , then step 1.2 and [L1] show that a word is accepted exactly when and , that is, exactly when . By [L2], this machine recognizes the intersection.
If the accepting set is , then step 1.2 and [L1] show that a word is accepted exactly when at least one component machine accepts , that is, exactly when . By [L2], this machine recognizes the union.
Therefore the product construction yields DFA's for both intersection and union over the fixed alphabet .
Depends on
Used by
Dependency tree · two levels
6 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 4 (standard reference, not scraped)