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.
Register programs and RAM programs with unbounded natural-number memory
Definition
A register-memory state is a function with finite support, so only finitely many registers hold nonzero values (A function is a relation with and implying ; , the value , domain and codomain, The natural numbers (von Neumann)).
A register program is a finite instruction list with a program counter, acting on such states by instructions of the following kinds:
- assignment of constants or copies, such as and ;
- successor and predecessor-type updates, such as and ;
- conditional branches testing whether a named register is zero;
- halting instructions for accept, reject, or output.
A RAM program is such a program together with indirect-addressing instructions so the content of one register may be used as the address of another. On this page, the phrase RAM/register program refers to this unbounded-memory model; a pure register program is the special case without indirect addressing.
For binary input , the standard initial memory layout is A halting memory state outputs the binary word when
Remarks
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The memory is unbounded because there are countably many possible register addresses, but every individual configuration uses only finitely many nonzero entries.
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This item fixes a computability model, not a complexity convention. No unit-cost or logarithmic-cost claim is built into the definition.
Depends on
Used by
Dependency tree · two levels
12 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, Notes on Formal Languages, Automata, Computability, and Complexity (standard reference, not scraped)
- Charles Brubaker and Lance Fortnow, Church-Turing Thesis lesson notes (standard reference, not scraped)