Alphabeta Math
DefinitionDefinition: AI-adaptedProof: AI-adaptedPipeline-generated
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.

Uniform asymptotic time space comparison

Definition

For f,g:N[0,), write f=O(g) if there are real C>0 and NN such that f(n)Cg(n) for every nN. Write f=o(g) if for every real ε>0 there is NN such that f(n)εg(n) for every nN. Neither notation divides by g(n): zeros of g require zeros of f on the relevant tail. The naturals include zero as in The natural numbers N (von Neumann).

The resource conventions below apply to deterministic multitape machines. Such a machine has a fixed finite alphabet and a fixed positive finite number of right-infinite tapes as in Multitape and nondeterministic Turing machine variants. For this resource interface, fix the following local run conventions: the initial state is q0, every head starts at cell zero, the input word occupies the first tape starting at zero, and all other cells on all tapes are blank. On each tape a left move from cell h goes to max{h1,0} and a right move goes to h+1. Time is the number of executed transitions. For a finite run, space is the sum, over tapes, of the numbers of cells actually scanned, including each initial head cell. A head moves by at most one cell, so its scanned cells form an initial segment. Initialized but unscanned input is not part of this visited-cell count; an interpreter which stores the entire input pays a separate input-length term.

For a deterministic machine halting on every input, its worst-case time at length n is the maximum of the finite run times on the finitely many words of that length; likewise for space. If there are no words of that length set the maximum to zero. If a run does not halt, no finite all-input time bound is asserted. A maximum over a nonempty finite list exists by taking the larger of the current maximum and the next entry; no selection principle is needed. No nondeterministic branch-cost convention is defined in this item.

In OM, the constants C,N may depend on the fixed finite description M, but not on the input word, its length, or an external clock value. For a two-parameter estimate TM(x,b)=OM(G(n,b)) meant to include short inputs and clocks, the convention is a single CM with TM(x,b)CMG(n,b) for every valid (x,b), including b=0,1. When a constructor or algorithm reads the whole input, resource bounds here have the explicit lower guard n+1. Space that excludes a read-only input tape must be labelled separately; it is not the default visited-cell convention.

Depends on

Used by

Dependency tree · two levels

9 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