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.
Deterministic one-tape Turing machines with designated accept and reject states
Definition
A deterministic one-tape Turing machine with designated accept and reject states is a tuple such that:
- is a finite set of states.
- is a finite input alphabet.
- is a finite tape alphabet with .
- is the blank symbol.
- are pairwise distinct.
- is a function
Thus whenever the machine is in a nonhalting state and scans a symbol , the value specifies exactly one next state , exactly one symbol to write in the currently scanned cell, and exactly one head move .
The intended tape is right-infinite and indexed by the natural numbers (Computation alphabets, words, the empty word, and , A function is a relation with and implying ; , the value , domain and codomain); the tape contents, configurations, and one-step dynamics are fixed in the next items.
Remarks
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The transition function is total on the nonhalting state-symbol pairs. The machine halts by entering one of the distinguished states or , not by leaving undefined.
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This item fixes only the base deterministic one-tape model. Multitape and nondeterministic variants are introduced later on the same page.
Depends on
Used by
Dependency tree · two levels
18 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 E. Savage, Models of Computation: Exploring the Power of Computing, Chapter 5 (standard reference, not scraped)
- Richard Zach, Sets, Logic, Computation: An Open Introduction to Metalogic (standard reference, not scraped)
- A. M. Turing, On Computable Numbers, with an Application to the Entscheidungsproblem (standard reference, not scraped)