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.
Every multitape space-S computation has a single-tape simulation in O(n+S(n)) space
Statement
Let be a fixed deterministic multitape Turing machine. If then there exists a deterministic one-tape Turing machine deciding the same language and satisfying
Facts & Assumptions
Given: A fixed deterministic multitape machine with .
Every fixed multitape machine has an equivalent deterministic one-tape simulator, by Every fixed multitape Turing machine has an equivalent one-tape simulation.
Worst-case space counts the total number of tape cells ever visited during a halting computation, by Worst-case time and space complexity of a machine.
Big- compares functions up to eventual constant factors, by Asymptotic comparison of resource bounds.
The class notation DSPACE records deterministic decision procedures within an asymptotic space bound, by The classes DTIME, NTIME, DSPACE, and NSPACE.
Proof
Use the standard simulator from [L1] that stores the simulated tapes as marked blocks on one tape. On an input of length , the first simulated tape block initially records the whole input word, contributing cells up to a constant factor. Beyond that initial block, the simulator records only cells that the multitape computation has visited, together with only constant-size bookkeeping per recorded cell and a fixed number of delimiters depending on . If the simulated computation has visited at most cells altogether, [L2] therefore bounds the one-tape encoding length by .
Therefore there exists a constant such that every halting run of the simulator on an input of length visits at most cells. By [L3], this is . Taking maxima over all length- inputs gives .
The simulator still decides the same language as , and step 2.1 places it in the deterministic single-tape space class described by [L4].
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
- Eric Blais, Models of Computation, 17. Space Complexity (standard reference, not scraped)
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)