Computing with and without arbitrary large numbers
Michael Brand

TL;DR
This paper characterizes how the availability of large arbitrary numbers as input affects the computational power of random access machines, correcting and strengthening classical results in the field.
Contribution
It provides a general characterization of the computational impact of large arbitrary inputs and corrects and enhances foundational results by Simon and Szegedy (1992) and Simon (1981).
Findings
Corrected classical results with new constructions
Strengthened the theoretical understanding of large number inputs
Provided tools for analyzing arbitrary large number power
Abstract
In the study of random access machines (RAMs) it has been shown that the availability of an extra input integer, having no special properties other than being sufficiently large, is enough to reduce the computational complexity of some problems. However, this has only been shown so far for specific problems. We provide a characterization of the power of such extra inputs for general problems. To do so, we first correct a classical result by Simon and Szegedy (1992) as well as one by Simon (1981). In the former we show mistakes in the proof and correct these by an entirely new construction, with no great change to the results. In the latter, the original proof direction stands with only minor modifications, but the new results are far stronger than those of Simon (1981). In both cases, the new constructions provide the theoretical tools required to characterize the power of arbitrary…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsComputability, Logic, AI Algorithms · Algorithms and Data Compression · semigroups and automata theory
