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.
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These labels describe origin, not correctness: citations and verification chips remain separate evidence.
A machine using space s(n) has at most exponentially many configurations
Statement
Let be a fixed -tape deterministic or nondeterministic Turing machine, and fix an input of length . Then there is a constant such that if every branch of on visits at most tape cells, then the number of configurations that can arise on input is at most .
Facts & Assumptions
Given: a fixed -tape machine , an input of length , and a bound on the number of visited cells.
A multitape machine has a finite state set, finitely many tape alphabets, and one head position on each tape (Multitape and nondeterministic Turing machine variants).
Worst-case space is the total number of tape cells ever visited during a halting computation (Worst-case time and space complexity of a machine).
Proof
By [L1], once the input is fixed a configuration of is determined by the current state, the head positions, and the symbols on the cells that have been visited so far: every unvisited work-tape cell is still blank, and every unvisited input-tape cell still carries its fixed symbol from . By [L2], at most tape cells are ever visited in total.
Let be the finite state set and let be a common finite upper bound for the tape alphabets. Step 1.1 gives at most choices for the state, at most choices for the head positions, and at most choices for the symbols on the visited cells. Hence the total number of configurations that can arise on input is at most .
Because is fixed, the constants , , and are fixed. For there is therefore a constant with . This proves the claimed exponential bound.
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
- Sanjeev Arora and Boaz Barak, Computational Complexity: A Modern Approach (standard reference, not scraped)
- Eric Blais, Models of Computation, 17. Space Complexity (standard reference, not scraped)