
arXiv: 2203.05250
AbstractWe investigate the computational properties of basic mathematical notions pertaining to ${\mathbb R}\rightarrow {\mathbb R}$-functions and subsets of ${\mathbb R}$, like finiteness, countability, (absolute) continuity, bounded variation, suprema and regularity. We work in higher-order computability theory based on Kleene’s S1–S9 schemes. We show that the aforementioned italicised properties give rise to two huge and robust classes of computationally equivalent operations, the latter based on well-known theorems from the mainstream mathematics literature. As part of this endeavour, we develop an equivalent $\lambda $-calculus formulation of S1–S9 that accommodates partial objects. We show that the latter are essential to our enterprise via the study of countably based and partial functionals of type $3$.
FOS: Computer and information sciences, higher-order computability theory, Computer Science - Logic in Computer Science, Mathematics - Logic, partiality, regulated functions, Logic in Computer Science (cs.LO), Higher-type and set recursion theory, Kleene S1--S9, 03D55, 03D75, bounded variation, FOS: Mathematics, Computation over the reals, computable analysis, Logic (math.LO), F.1.1
FOS: Computer and information sciences, higher-order computability theory, Computer Science - Logic in Computer Science, Mathematics - Logic, partiality, regulated functions, Logic in Computer Science (cs.LO), Higher-type and set recursion theory, Kleene S1--S9, 03D55, 03D75, bounded variation, FOS: Mathematics, Computation over the reals, computable analysis, Logic (math.LO), F.1.1
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
